Design, fine-tune, and deploy generative AI models (LLMs, diffusion, VAEs). Build data pipelines and APIs, integrate AI into production, optimize model performance and latency, and collaborate with cross-functional teams to deliver AI-powered solutions.
Job Summary:
We are looking for a talented Generative AI Developer with strong Python expertise to join our team. The ideal candidate will have hands-on experience in building and deploying AI/ML models, especially in the field of Generative AI (e.g., LLMs, Diffusion Models, Transformers). You’ll work closely with data scientists, product managers, and engineering teams to integrate intelligent, generative capabilities into real-world applications.
Key Responsibilities:
- Design, develop, and deploy Generative AI models (e.g., LLMs, GPT, diffusion models, VAEs).
- Fine-tune pre-trained models using Hugging Face, OpenAI, or other frameworks.
- Build data pipelines and APIs to support training and inference.
- Integrate AI functionality into production systems and applications.
- Evaluate and improve model performance, latency, and reliability.
- Stay current with the latest GenAI research and rapidly evolving ecosystem.
- Collaborate with cross-functional teams to understand business requirements and deliver AI-powered solutions.
Must-Have Skills:
- Strong Python programming experience (3+ years).
- Experience with Generative AI frameworks such as Hugging Face Transformers, LangChain, OpenAI API, or LLamaIndex.
- Familiarity with ML/DL frameworks: PyTorch, TensorFlow, or JAX.
- Experience with LLM fine-tuning, prompt engineering, embeddings, or vector databases.
- Understanding of NLP concepts: tokenization, embeddings, attention mechanisms.
- Working knowledge of REST APIs, Docker, and cloud services (AWS/GCP/Azure).
Photon Chennai, Tamil Nadu, IND Office
DLF IT Park 1/124 Mount Poonamallee Road Sivaji Gardens Manapakkam , Chennai, India, 600089
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and scale machine learning systems for search, including ranking models, feature engineering, model deployment, monitoring, experimentation, and online inference. Design fault-tolerant distributed infrastructure, optimize search latency and throughput, and develop reliable ML services from proof of concept through production. Collaborate across engineering and product teams, communicate technical decisions, review code, document systems, and mentor junior engineers.
Top Skills:
AWSAzureCi/CdDistributed SystemsGCPGoJavaKotlinMachine LearningMlopsPythonTypescript
Digital Media • Information Technology • News + Entertainment
Designs and customizes software applications, manages releases, gathers requirements, and improves functionality and user experience. Collaborates with stakeholders, QA, and cross-functional teams to deliver reliable solutions. Tracks performance metrics, maintains technical documentation, researches industry trends, and leads development, prototyping, and design sessions. Mentors junior engineers and exercises independent judgment while supporting variable work schedules.
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manage SSD quality and reliability during high-volume production, including reliability evaluations, deviation management, containment, failure analysis, data analysis, and outgoing quality monitoring. Develop evaluation plans, assess material dispositions, analyze MES data, report reliability metrics, and collaborate with engineering, manufacturing, quality, and customer teams globally. Provide technical consultation, training, audit and customer support, while using generative and agentic AI tools to improve engineering workflows.
Top Skills:
Agentic AiChatgptClaudeDevice PhysicsGenerative AiMamMicron Manufacturing Execution System (Mes)Microsoft CopilotNandNvmePcieSataSemiconductor Reliability StatisticsSolid State Drives (Ssd)Wafer Fabrication
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
