Senior Gen AI Developer
4 days ago
Role & responsibilities
Work Location : Bangalore, Hybrid
Experience ( Relevant) : 10+ Year
Shift Timings : UK Shift
Remote / Hybrid : Hybrid
Immediate Joiner
Contract to hire (Long Term Project)
Top 3 skills which is mandatory
- Developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.
- Advanced statistical techniques and concepts
- Deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
Senior Gen AI Developer
Key Responsibilities:
- Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence.
- Apply statistical skills and advanced statistical techniques and concepts.
- Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
- Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
- Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.
- Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
- Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
- Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras.
- Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.
- Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries.
- Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks
- Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights.
- Work closely with customers to understand their requirements and deliver customized AI solutions.
- Interact at appropriate levels to ensure client satisfaction and project success.
- Communicate complex technical concepts clearly to non-technical audiences.
- Conduct training sessions to enhance overall data science skills within the organization.
Basic Qualifications:
- 1+ years of experience:
- architecting high-impact GenAI solutions for diverse clients with At least 2 projects having agents /agentic rag and integration with biz systems - exposure to MCP integration with enterprise applications.
- Enterprise scale solution design eg multii threading on vector db, integration with LLM
- Exposure to emerging tech and biz trends in AI / Agentic RAG based capabilities etc
- Exposure to predictive modelling, ANN additional plus
- 8+ year(s) of experience participating in projects that focused on one or more of the following areas:
- Predictive Analytics
- Data Design
- Generative AI
- AI/ML
- ML Ops
- 3+ years of experience using Python.
- Ability to travel at least 25%.
- Bachelors Degree required.
Preferred Skills:
- preferably worked with hyperscaler based products eg bedrock, opensearch (and/or OpenAI Foundr
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