• Client: One of the leading diversified business groups
• Role: Chief Financial Officer (CFO)
• Qualification: CA
• Reporting To: Managing Director
• Location: Bangalore (MG Road)
• Compensation: Best in the market

Role :

We are looking for a strategic and result-oriented financial leader to join one of the leading diversified business groups as Chief Financial Officer (CFO). This is a direct reporting role to the Managing Director (MD).

Key Responsibilities:

• Develop and execute financial strategy aligned with business goals.
• Oversee financial planning, budgeting, forecasting, and MIS reporting.
• Drive working capital, cash collection, and cash flow management.
• Manage pricing controls, customer engagement, and target schemes.
• Oversee Accounts Payable, vendor negotiations, and commercial hygiene.
• Handle risk management, regulatory compliance, audits, and statutory requirements.
• Manage corporate insurance, claims, and renewals.
• Act as a strategic business partner to support growth initiatives.

Location: Bangalore (with frequent travel to project sites across India)

Experience: 7 to 10 Years

Experience: 7 to 10 Years

Travel: Mandatory (Pan-India project sites)

About the Role
At EDC, we bring spaces to life. We're looking for a passionate and experienced Head - Projects to lead the design and execution of our Experience Centre projects across India. If you're someone who sees architecture not just as structures but as stories waiting to be told, and if you thrive on turning creative vision into ground reality, we'd love to have a conversation with you.
This role is perfect for a resourceful, focused designer with an innate sense of creativity — someone who can craft spaces that are aesthetically striking, architecturally sound, and genuinely functional. You'll be leading our design team, inspiring them with fresh ideas, and driving innovative design thinking across every project we take on.

Key Responsibilities
●
Lead, mentor, and motivate the design team, bringing in innovative approaches to design thinking and architectural principles.
●
Design, Review, Oversee the overall design, necessary design drawings, BoQ, costing and rate analysis, planning, and execution of EDC's Experience Centre projects from concept to completion.
●
Travel frequently to project sites across India to monitor progress, ensure quality standards, and resolve on-ground challenges.
●
Collaborate closely with clients, vendors, and internal stakeholders to translate ideas into functional, beautiful spaces.
●
Ensure that every project reflects a balance of aesthetics, architectural integrity, and practical utility.
●
Drive design excellence across varied space typologies — commercial spaces, experience centres, campuses, and more.
●
Review project timelines, budgets, and resource allocation to ensure smooth and timely delivery.
●
Stay updated with the latest design trends, materials, and construction practices to keep EDC's work ahead of the curve.

Educational Qualification
●
Bachelor's or Master's Degree in Architecture (B.Arch / M.Arch) from a recognised institution.
●
Additional certification or specialization in Interior Design will be an added advantage.
Skills We Value
●
Strong conceptual and design thinking abilities.
●
Proficiency in design and drafting tools (AutoCAD, SketchUp, Revit, 3D, BIM and all latest discipline).
●
Sound understanding of architectural principles, materials, and construction practices.
●
Team leadership and people management skills.
●
Project management capabilities — timelines, budgets, and on-site coordination.
●
Excellent communication and client-facing skills.
●
Ability to multitask across projects while maintaining quality and consistency.

Experience:- 7+Years

Location:

Bengaluru, Karnataka, India

Locations

Bangalore, Karnataka, India

Minimum Experience

8

Maximum Experience

12

Skill Set

PCB Designing, PCB Design Tools

Experience

8 to 12 Years

Location

Bangalore, Karnataka, India

Job Description

Role Summary

Responsible for PCB layout design and implementation for complex multi-layer electronic products. The role involves close collaboration with hardware, firmware, compliance, and manufacturing teams to deliver high-quality, manufacturable, and reliable board designs from concept through production release.

Education Qualificaiton

• B.E./B.Tech in Electronics, Electronics & Communication, Electrical Engineering, Instrumentation, or related disciplines

Note:

• Work Mode : WFO (Work from Office)
• Mode of Interview : Virtual

Job Description:

We are seeking an experienced and proactive Lead Embedded C++ Developer with 4-7 years of experience to spearhead the development of cutting-edge Human Machine Interface (HMI) solutions within our innovative engineering team. The ideal candidate will bring deep expertise in embedded firmware development, advanced C++ concepts, and low-level UI design, with a focus on delivering high-performance, reliable, and scalable HMI applications. You will lead the end-to-end development lifecycle from planning and architecture to implementation and deployment while mentoring team members and driving technical excellence in a fast-paced, collaborative environment.

Education Qualificaiton:

B.E or B. Tech in (ECE, EIE, EEE, ME & Instrumentation Engineering)

• Qualification: M.Tech. in Structures / Structural Engineering
• Experience: 8-20 years (G+10 floors and above)
• Compensation: Best in the industry
• Work Location: Chennai HQ (Mandatory relocation)

Key Responsibilities:

• Perform advanced structural design and analysis for complex high-rise towers.
• Utilize industry-standard software such as ETABS, SAFE, STAAD.Pro, and Revit.
• Design robust lateral load-resisting systems, including shear walls and core frames.
• Conduct precise wind and seismic analyses using the latest IS & International codes.
• Optimize designs for cost-efficiency while maintaining peak safety standards.

Reference:
Please feel free to share this with relevant professionals who can join immediately.

• Location: Bangalore/Chennai(Hybrid)
• Experience Required: 8+
• Role Overview
• This role requires deep data expertise that goes beyond tool familiarity. The ideal candidate will have worked close to the data layer, modelling it, mapping it, and querying it at scale across complex enterprise environments.
• Relevant Backgrounds
• Candidates may come from any of the following areas:
• Cloud Data Warehouses such as BigQuery, Snowflake, Redshift, or Synapse, with experience modelling and querying large, complex datasets.
• Marketing Tech or Campaign Platforms, with ownership of source to target mapping, metadata mapping, and data dictionaries (not campaign execution).
• MDM Platforms, with hands on work in master data, entity resolution, and identity stitching.
• Key Responsibilities
• Understand source systems and map them to AEP XDM Schemas using L
•                         LDM methodology.
• Work with structured and semi structured data formats across diverse pipelines.
• Define entity relationships, cardinalities, and ER diagrams.
• Write and optimise SQL at source and within AEP Query Service, including
•        joins, filters, and aggregations.
• Own source to target mapping, metadata documentation, and schema
•       governance.
• Required Skills and Experience
• Strong data modelling fundamentals covering relationships, keys, and    
•       cardinalities.
• Hands on SQL experience across source systems and large-scale query engines.
• Experience producing data dictionaries and source to target mapping documents.
• Ability to independently map a source system to a target schema.

Location: Bangalore / Chennai
Experience: 10+ Years
Employment Type: Full-Time

About the Role

We are looking for an experienced Data Architect (G&A) to partner with General & Administrative (G&A) functions in translating business needs into scalable enterprise data architectures and solutions. This role will define domain data models, integration patterns, and architecture standards, ensuring that enterprise data products are aligned with organizational standards and governance frameworks.

You will work closely with business owners, application teams, data engineers, and governance partners to build trusted, reusable, and secure data products that enable reporting, analytics, and enterprise decision-making.

Key Responsibilities

• Translate business requirements into scalable data architectures and enterprise data solutions.
• Define domain data models, integration patterns, and architecture standards aligned with enterprise principles.
• Ensure enterprise data products are aligned with data governance and architecture standards.
• Collaborate with business owners, application teams, data engineers, and governance teams across G&A functions.
• Design data solutions that are accessible, consistent, secure, and reusable across enterprise platforms.
• Reduce data duplication and improve data quality, reporting, and operational efficiency.
• Support enterprise reporting, analytics, and business decision-making through trusted data products.
• Drive architecture reviews and promote best practices for enterprise data management.

Required Skills

• 10+ years of experience in Data Architecture, Enterprise Data Architecture, Data Engineering, or related enterprise data roles.
• Strong expertise in data architecture, data modeling, integration design, and enterprise data governance.
• Hands-on experience with one or more of the following platforms:
  • Databricks
  • Snowflake
  • Azure Data Platform
  • AWS Analytics
  • Google Cloud Data Services
• Experience designing scalable cloud-based data platforms and enterprise integration solutions.
• Strong understanding of data quality, security, privacy, and governance frameworks.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience working with Finance, Legal, Compliance, HR, or other enterprise G&A functions.
• Familiarity with enterprise architecture frameworks and modern cloud data ecosystems.
• Experience enabling enterprise analytics, reporting, and data-driven decision-making initiatives.

Why Join Us?

• Work on enterprise-scale Data & AI transformation programs.
• Collaborate with product owners, architects, engineers, and business leaders across multiple enterprise domains.
• Build trusted, reusable, and governed data platforms that drive measurable business outcomes.

Location: Bangalore, Chennai
Experience: 10+ Years
Employment Type: Full-Time

About the Role

We are seeking a highly experienced Data & AI Solutions Architect to lead the design and governance of enterprise data and AI solutions across General & Administrative (G&A) functions. This role will be responsible for defining data architecture, AI solution frameworks, data products, and governance standards while acting as the technical authority across multiple enterprise platforms and business domains.

The ideal candidate will bring deep expertise in data architecture, AI/ML solution design, enterprise integration, cloud data platforms, and data governance, along with the ability to collaborate effectively with business leaders, product owners, engineering teams, and enterprise architects.

Key Responsibilities

• Lead the design and architecture of enterprise-scale Data & AI solutions across G&A domains.
• Define and maintain enterprise data models, architecture standards, and governance frameworks.
• Own the technical architecture for data products, analytics platforms, and AI-enabled business solutions.
• Collaborate with business stakeholders to translate strategic requirements into scalable and secure technical solutions.
• Establish standards for data quality, metadata management, integration, security, privacy, and compliance.
• Drive enterprise architecture reviews and ensure alignment with organizational architecture principles.
• Enable trusted, reusable, and governed data products that support business intelligence, analytics, automation, and AI initiatives.
• Partner with engineering and platform teams to improve reporting, operational efficiency, and enterprise decision-making.
• Ensure responsible and compliant adoption of AI technologies across enterprise functions.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of experience in Data Architecture, Enterprise Architecture, AI Solution Architecture, or Data Engineering.
• Strong expertise in data modeling, data governance, cloud data platforms (AWS/Azure/GCP), and enterprise integration patterns.
• Experience designing and implementing AI/ML and GenAI-enabled enterprise solutions.
• Deep understanding of data security, privacy regulations, compliance frameworks, and governance best practices.
• Proven ability to work with senior business stakeholders across Finance, Legal, Compliance, HR, and other G&A functions.
• Excellent communication, leadership, and stakeholder management skills.

Preferred Skills

• Experience with Databricks, Snowflake, Azure Data Platform, AWS Analytics, or Google Cloud data services.
• Familiarity with enterprise architecture frameworks such as TOGAF.
• Knowledge of MLOps, Responsible AI, DataOps, and modern analytics architectures.
• Experience leading cross-functional transformation programs involving Data, Analytics, and AI.

Why Join Us?

• Work on enterprise-wide Data & AI transformation initiatives.
• Influence architecture standards across multiple business functions.
• Collaborate with senior product, engineering, and business leaders.
• Build scalable, secure, and future-ready AI and data solutions that drive measurable business outcomes.

Position Details

• Role: Senior RTCDP Developer
• Location: Bangalore, Hybrid
• Experience Required: 5+

Role Overview 

This role is for a CDP specialist who understands the full lifecycle of audience data, from identity resolution and profile unification through to segmentation, activation, and publishing across downstream networks. The ideal candidate brings prior experience with a Data Management Platform or CDP and can independently own RTCDP use case delivery end to end within AEP.  

Relevant Backgrounds 

Candidates may come from any of the following areas: 

• Adobe Audience Manager or Oracle BlueKai roles with hands on experience managing traits, segments, destinations, and audience syndication across advertising and publishing networks. 
• CDP roles involving profile unification, audience building, and activation to paid media, email, or onsite personalisation destinations. 
• Data or Audience Platform roles in a Martech or AdTech environment where audience sharing, identity resolution, and destination management were core responsibilities. 
• AEP implementation roles with direct involvement in RTCDP configuration, profile management, and activation workflows. 

Key Responsibilities 

• Design and build RTCDP use cases end to end, from ingestion and identity resolution through to segmentation and activation across publishing and media networks. 
• Configure and manage AEP Identity Namespaces, Identity Graphs, and Merge Rules to ensure accurate and consistent profile unification across devices and channels. 
• Define and apply Profile Merge Policies and Graph Unlink Rules to control how identities are associated, merged, or separated based on business and governance requirements. 
• Build and manage audience segments using all available RTCDP segmentation types including batch segmentation, streaming segmentation, and edge segmentation, selecting the right approach for each use case. 
• Configure and manage Destinations across paid media networks, DSPs, social platforms, advertising clouds, and clean room environments, with a strong understanding of activation nuances for each destination type. 
• Manage audience publishing workflows including payload structure, identity mapping at activation, segment membership exports, and profile attribute enrichment for downstream consumption. 
• Understand and apply the nuances of activation including profile export frequency, incremental versus full audience exports, identity resolution at the edge, and destination specific identity requirements. 
• Work with Data Architects and Data Engineers to ensure ingested data supports the identity and segmentation requirements of RTCDP use cases. 
• Apply data governance controls including DULE labels and consent policies to ensure audiences are activated in a compliant manner. 
• Troubleshoot profile fragmentation, segment qualification issues, identity graph anomalies, and activation failures across destinations. 
• Document RTCDP use cases, segment definitions, merge policy configurations, and activation workflows for business and technical audiences. 

Required Skills and Experience 

• Hands on experience with Adobe Audience Manager, Oracle BlueKai, or a comparable DMP or CDP platform with strong understanding of audience lifecycle management. 
• Deep working knowledge of RTCDP including Real Time Customer Profile, Identity Service, Merge Policies, and the Identity Graph. 
• Practical experience configuring Identity Namespaces, defining Merge Rules, and applying Graph Unlink Rules to manage profile integrity. 
• Strong understanding of all RTCDP segmentation types, batch, streaming, and edge, including qualification rules, lookback windows, and use case fit for each. 
• Proven experience configuring and managing Destinations including paid social, programmatic, advertising networks, and CRM based destinations with awareness of identity mapping requirements at activation. 
• Understanding of audience syndication and publishing mechanics including how segments are shared with networks, frequency of updates, and downstream identity matching. 
• Familiarity with AEP data governance including DULE labels, consent frameworks, and marketing action restrictions applied to activation. 
• Ability to read XDM schema structures and understand how profile attributes and experience event data feed into segment definitions and activation payloads. 
• Experience troubleshooting identity graph issues, segment membership gaps, and destination activation failures. 

Position Details

• Role: Senior Data Architect
• Location: Bangalore-Hybrid
• Experience Required: 8+

Role Overview

This role requires deep data expertise that goes beyond tool familiarity. The ideal candidate will have worked close to the data layer, modelling it, mapping it, and querying it at scale across complex enterprise environments.

Relevant Backgrounds

Candidates may come from any of the following areas:

• Cloud Data Warehouses such as BigQuery, Snowflake, Redshift, or Synapse, with experience modelling and querying large, complex datasets.
• Marketing Tech or Campaign Platforms, with ownership of source to target mapping, metadata mapping, and data dictionaries (not campaign execution).
• MDM Platforms, with hands on work in master data, entity resolution, and identity stitching.

Key Responsibilities

• Understand source systems and map them to AEP XDM Schemas using L

                        LDM methodology.

• Work with structured and semi structured data formats across diverse pipelines.
• Define entity relationships, cardinalities, and ER diagrams.
• Write and optimise SQL at source and within AEP Query Service, including

       joins, filters, and aggregations.

• Own source to target mapping, metadata documentation, and schema

      governance.

Required Skills and Experience

• Strong data modelling fundamentals covering relationships, keys, and    

      cardinalities.

• Hands on SQL experience across source systems and large-scale query engines.
• Experience producing data dictionaries and source to target mapping documents.
• Ability to independently map a source system to a target schema.

Domain: Finance (Preferred)

Exp: 12+ Years

Location – Bangalore, Chennai, hyderabad , Pune

NP – immediate to serving candidates

1. Strong hands-on experience in Databricks, Python, Pyspark, and AWS.
2. Solid understanding of Data Engineering and Governance principles and best practices.
3. Proven experience working with multi-cloud architectures and cloud-native solutions.
4. Strong solution design and architecture exposure, with the ability and enthusiasm to work across diverse technology solutions.
5. End-to-end understanding of Data Management, Data Engineering, and Analytics ecosystems.
6. Good exposure to AI/ML capabilities and their practical application in enterprise solutions.
7. Good knowledge on Finance Data Access Classification and Security capabilities supporting technical initiatives

Project: Industrial & Warehousing Projects
Location: Chennai
Experience: 12+ Years
Qualification: Any Graduate; MBA in Marketing, Business Development, Real Estate, or a related field preferred.

Job Summary

We are looking for an experienced and strategic Lead– Business Development & Leasing to lead the leasing and business development function for our Industrial & Warehousing Projects. The role will be responsible for driving revenue growth, developing leasing strategies, identifying key business opportunities, building relationships with major occupiers and investors, and achieving overall leasing targets.

The ideal candidate should have strong experience in Industrial & Warehousing Real Estate Leasing, with a proven track record of handling large-scale leasing transactions and leading business development teams.

Key Responsibilities

• Develop and implement the overall business development and leasing strategy for Industrial & Warehousing projects.
• Lead the end-to-end leasing function, from market identification and lead generation to negotiations, closure, and execution.
• Drive revenue and occupancy targets for industrial and warehousing assets.
• Identify and build relationships with key corporate occupiers, manufacturers, logistics companies, 3PL players, e-commerce companies, and other potential clients.
• Develop strong relationships with real estate consultants, property advisors, channel partners, investors, and industry stakeholders.
• Identify new markets, emerging sectors, and potential business opportunities to maximize project occupancy and revenue.
• Lead negotiations on rental rates, lease terms, commercial structures, and other key business terms.
• Develop pricing and leasing strategies based on market trends, competitor analysis, demand, and project positioning.
• Build and maintain a strong leasing pipeline and ensure consistent conversion of leads into successful transactions.
• Oversee client meetings, project presentations, site visits, and commercial negotiations.
• Establish long-term relationships with key decision-makers and major corporate clients.
• Work closely with internal teams including Projects, Finance, Legal, Marketing, and Operations to ensure smooth closure and execution of lease agreements.
• Monitor industry trends, market movements, competitor projects, rental rates, and demand-supply dynamics.
• Prepare and present regular reports on leasing performance, pipeline, revenue projections, market intelligence, and business development activities to senior management.
• Lead, mentor, and manage the business development and leasing team to achieve individual and organizational targets.
• Develop and maintain a robust network of prospective clients and business partners.
• Ensure achievement of annual, quarterly, and monthly leasing and revenue targets.

Key Performance Areas (KPIs)

• Overall leasing and occupancy achievement.
• Revenue generation and rental realization.
• New client acquisition and key account development.
• Leasing pipeline and conversion ratio.
• Successful closure of large-ticket transactions.
• Development of strategic corporate relationships.
• Channel partner and consultant network development.
• Team performance and target achievement.

Desired Skills

• Strong knowledge of Industrial & Warehousing Real Estate.
• Proven track record in business development and leasing.
• Strong network with corporate occupiers and decision-makers.
• Excellent negotiation and deal-closure skills.
• Strong commercial and financial acumen.
• Excellent communication, presentation, and stakeholder management skills.
• Strategic thinking with strong business development capabilities.
• Strong leadership and team management skills.
• Ability to manage multiple leasing transactions and high-value negotiations simultaneously.

Preferred Candidate Profile

• 12+ years of experience in Business Development, Leasing, Industrial Real Estate, Warehousing, or Real Estate.
• Candidates with experience in leading leasing for large-scale industrial and warehousing developments will be preferred.
• Should have a proven track record of achieving significant leasing and revenue targets.
• Strong network among manufacturing companies, logistics providers, 3PL players, e-commerce companies, MNCs, and corporate occupiers.
• Experience in handling large-ticket transactions and strategic leasing partnerships is highly preferred.
• Should have prior experience in managing and leading a business development or leasing team.
• Willingness to travel for client meetings, site visits, and business development activities.

Experience: 4-6 Years

Department:AI/ML — Generative Media

Location: Hderabad

About the Role

As a Mid-Level AI/ML Engineer, you will build and fine-tune current-generation image, video, audio-performance, and 3D generative models that feed directly into our VFX and game content pipelines. You will work closely with senior engineers, technical artists, and pipeline TDs to take models from experimentation to production-ready assets and tools. You are expected to be comfortable downloading open-weight checkpoints, understanding their architecture, and modifying them — not just wrapping them in inference scripts.

Key Responsibilities

• Train and fine-tune current-generation image and video diffusion transformers across the FLUX (.1/.2 dev/schnell/klein), Qwen-Image, Z-Image (Base/Turbo/De-Distilled), Krea 2 (RAW/Turbo), Boogu (Base/Turbo/Edit), and Wan (2.x) families, plus unified multimodal generation/editing/understanding models (JoyAI-Image, BAGEL, OmniGen2-class architectures).
• Build and maintain fine-tuning and conditioning pipelines using modern parameter-efficient methods (LoRA, DoRA, LyCORIS / LoHa / LoKr) and current-generation training backends that support layer-specific training, block-wise optimization, fp8 scaling, and low-VRAM full fine-tuning for style, character, and asset consistency.
• Build audio-driven performance capability — lip-sync and talking-head/digital-human generation using audio-conditioned diffusion approaches in the OmniSync, Hallo3, MuseTalk, LatentSync, and Sonic lineage, including mask-free DiT approaches and native audio-video diffusion (LTX-2.3).
• Prepare, clean, and curate training datasets, including captioning/labeling pipelines for images, video clips, and paired audio-visual data.
• Implement and tune training loops (flow-matching/rectified-flow objectives, schedulers, EMA, mixed precision) and monitor convergence and quality metrics.
• Support multi-GPU training runs and help optimize training/inference throughput on the studio GPU cluster.
• Optimize inference pipelines for latency and memory (FP8/INT8/INT4 quantization, attention optimization, ONNX/TensorRT export, torch.compile) for integration into artist-facing tools.
• Train and fine-tune current-generation 3D generative models (TRELLIS 2, Hunyuan3D, Tripo-class image/text-to-3D) for game-ready assets and environment props, including mesh, texture, and PBR material generation.
• Support experimentation with neural scene representations (NeRF, 3D Gaussian Splatting) for environment reconstruction and generation workflows.
• Create and maintain quantized model artifacts (GGUF, FP8, INT8) for deployment on varied hardware tiers, including converting and quantizing custom fine-tuned checkpoints for diffusers-based and ComfyUI-GGUF pipelines.
• Track experiments, document findings, and contribute to internal best practices for GenAI model development.
• Collaborate with pipeline/tools engineers to integrate models into the studio creative pipelines.

Required Skills & Experience (Mandatory)

The following are mandatory. We will verify hands-on experience during technical interviews.

• Python, PyTorch (primary), and familiarity with JAX/TensorFlow.
• Hands-on, open-source-first experience: comfortable downloading, running, fine-tuning, and modifying open-weight models directly (Hugging Face Hub, GitHub repos) — not solely prompting or orchestrating hosted commercial APIs (e.g. OpenAI, Anthropic, Runway).
• Hugging Face Diffusers, Transformers, and PEFT libraries — you should know how to patch a pipeline, swap a scheduler, and debug a forward pass.
• Current image generation architectures: Diffusion Transformer / rectified-flow image models — FLUX.1/FLUX.2 (dev/schnell/klein), Qwen-Image, Z-Image, Krea 2, Boogu (Base/Turbo/Edit) — and working awareness of unified multimodal generation/editing/understanding models (JoyAI-Image, BAGEL, OmniGen2-class).
• Current video generation architectures: Mixture-of-Experts video DiT (Wan-class) and audio-video native DiT (LTX-2-class), plus the broader DiT lineage (HunyuanVideo, CogVideoX).
• Training objectives: flow matching and rectified flow as the primary paradigm, alongside classical DDPM/DDIM/EDM schedulers for context.
• Fine-tuning and conditioning: LoRA, DoRA, LyCORIS (LoHa, LoKr), and modern conditioning approaches for DiT models (in-context learning / visual prompting, VLM hidden-state conditioning, style-reference systems, AdaLN modulation, and native MM-DiT joint attention — NOT legacy IP-Adapter or ControlNet as primary methods).
• Working exposure to audio-driven generation: at least conceptual or hands-on familiarity with one audio-conditioned lip-sync/talking-head system (OmniSync, Hallo-family, MuseTalk, LatentSync, Sonic, or comparable).
• Current 3D generative model families: image/text-to-3D systems such as TRELLIS 2, Hunyuan3D (2.x/3.x), or Tripo, producing textured, PBR-ready meshes; plus NeRF and 3D Gaussian Splatting fundamentals.
• Mixed-precision training (FP16/BF16/FP8), gradient checkpointing, EMA, and basic multi-GPU training (DDP/FSDP) on single or multi-node clusters.
• Model export & optimization basics: ONNX, TensorRT, quantization (FP8/INT8/INT4), and optimized attention kernels (FlashAttention, SageAttention, or equivalent).
• Experiment tracking (Weights & Biases / MLflow) and dataset curation/captioning pipelines.
• Version control (Git) and Linux/CUDA environment fundamentals.
• Solid understanding of diffusion/flow-matching theory and transformer fundamentals (attention, GQA, RoPE / 3D Axial positional encoding, SwiGLU MLP) as applied to DiT.
• Comfortable working in a Linux environment with GPU compute, and reasonable familiarity with cloud or on-prem GPU clusters.

Preferred / Nice to Have

The following are not required for the role. Candidates with exposure will be prioritized.

• Prior experience in VFX, gaming, animation, or creative-tools industries.
• Hands-on experience with modern training backends: layer-specific LoRA/LoKr training, block-wise optimization, fp8 scaling, low-VRAM full fine-tuning, fused backward passes, and alpha-mask training — regardless of the specific frontend or CLI wrapper used.
• Experience creating quantized model artifacts: GGUF conversion (Q4_K_M, Q5_K_M, Q6_K, Q8_0), FP8/INT8 calibration, and deployment via diffusers-based or ComfyUI-GGUF pipelines.
• Exposure to emerging world / physical-AI foundation models (e.g. NVIDIA Cosmos-class, Genie-class world generation) for simulation, previs, or synthetic data generation — not required for this role.
• Experience with ComfyUI custom node development or Gradio/Streamlit-based internal tools.
• Docker, Kubernetes, and general DevOps familiarity — we run infrastructure on Azure AKS, so prior AKS or similar managed-Kubernetes experience is useful but not required.
• Familiarity with 3D/VFX tooling (Houdini, Unreal Engine, Unity, Nuke, Blender) and standard 3D asset formats (glTF/USD/FBX).
• Contributions to open-source GenAI/diffusion projects.

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience demonstrated through open-source contributions, competition results, or production deployments).

• Location: Bangalore, India
• Experience Required: 5+ Years

Key Responsibilities

Project Planning & Delivery

• Lead project planning and implementation activities by defining:
  • Project scope
  • Goals
  • Deliverables
  • Timelines
• Develop and manage detailed project plans, schedules, and resource allocation
• Ensure projects are delivered on time, within scope, and aligned with quality standards

Stakeholder Management

• Act as the primary point of contact between:
  • Technical teams
  • Business stakeholders
  • Global clients
• Ensure effective communication across all project stakeholders
• Translate project objectives into actionable plans for cross-functional teams

Project Monitoring & Risk Management

• Monitor and track project progress against schedules and milestones
• Identify risks, dependencies, and issues proactively
• Implement mitigation plans to minimize project risks
• Manage project budgets and resource forecasts effectively

Agile Project Execution

• Facilitate Agile ceremonies including:
  • Daily stand-ups
  • Sprint planning
  • Retrospectives
  • Backlog reviews
• Support teams in following Agile best practices for efficient execution
• Ensure transparency in sprint progress and delivery commitments

Cross-functional Team Coordination

• Manage project delivery across teams such as:
  • Development
  • QA
  • UX / Design
  • Business Analysts
• Coordinate dependencies and ensure alignment between teams
• Drive accountability and ownership across project stakeholders

Documentation & Reporting

• Create and maintain project documentation including:
  • Project plans
  • Status reports
  • Risk logs
  • Resource plans
• Provide regular project updates to internal teams and external stakeholders

Required Skills & Qualifications

• Bachelor’s degree in:
  • Computer Science
  • Engineering
  • Or a related field
• 5+ years of proven experience as a Technical Project Manager
• Minimum 2 years of experience in:
  • Digital agency environments
  • Technology consulting organizations
• Strong experience delivering projects in at least one of the following:
  • Customer Experience (CX) Applications
  • CMS Implementations
  • MarTech Solutions
• Experience working with global stakeholders and distributed teams
• Strong understanding of:
  • Software Development Life Cycle (SDLC)
  • Agile
  • Scrum
  • Kanban
• Hands-on experience with project management tools such as:
  • Jira
  • Trello
  • Asana
• Excellent written and verbal communication skills
• Strong leadership, decision-making, and problem-solving abilities
• Ability to manage multiple projects and priorities simultaneously

Preferred Qualifications

• PMP, CSM, or equivalent project management certification
• Knowledge of:
  • Modern web technologies
  • Cloud platforms (AWS / Azure / GCP)
  • Software architecture
• Experience in enterprise digital transformation projects

Job Role:- C++ Developer with Adaptive Autosar

Location:- Hyderabad 5 Days WFO

Experience – 3 to 8 Years
Mandatory Skill – experience in C++ Developer with Adaptive Autosar

• Position: Civil Execution Staff
• Client: (Third-Party on Matrix Role)
• Experience: 5-15 years in Industrial Building projects
• Qualification: BE / Diploma in Civil Engineering
• CTC: Best in the market (includes shared bachelor accommodation)
• Notice Period: Immediate joiners only
• Project Location: MH(Nagpur)/TN (Kattupalli/Coimbatore/Tirunelveli)

Key Skills Required:

1. Industrial Civil Execution: Hands-on experience in RCC, structural foundations, industrial flooring, and fast-track factory projects.
2. Planning & Coordination: Ability to plan daily activities and coordinate effectively with engineering, procurement, subcontractors, and other disciplines.
3. Labour & Subcontractor Management: Strong capability to manage the workforce, monitor productivity, and ensure timely execution.
4. Quality & Safety Compliance: Sound knowledge of QA/QC procedures, ITPs, and safe construction practices.