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AI / ML Engineer
Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Generative AI
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
Experience in Java and Python
Experience in AI application development, focusing on cloud-based AI model integration, deployment, and optimization.
Proficiency in programming languages such as Python, Java, and experience with AI/ML frameworks like Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow etc.
Hands-on experience with Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search for developing and deploying AI applications at scale.
Proficiency in advanced AI architecture patterns, including Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Functional Calling, A2A especially in an Azure environment.
Experience in prompt engineering, context engineering, vector databases, embedding/chunking strategies, and real-time data integration.
Experience in evaluating model output and optimization
Additional Information:
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Generative AI
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
Experience in Java and Python
Experience in AI application development, focusing on cloud-based AI model integration, deployment, and optimization.
Proficiency in programming languages such as Python, Java, and experience with AI/ML frameworks like Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow etc.
Hands-on experience with Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search for developing and deploying AI applications at scale.
Proficiency in advanced AI architecture patterns, including Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Functional Calling, A2A especially in an Azure environment.
Experience in prompt engineering, context engineering, vector databases, embedding/chunking strategies, and real-time data integration.
Experience in evaluating model output and optimization
Additional Information:
- The candidate should have minimum 5 years of experience in Generative AI.
- This position is based at our Pune office.
- A 15 years full time education is required.
More Info
Key Skills
LangChain
Generative AI
real-time data integration
chunking strategies
vector databases
Azure OpenAI
context engineering
prompt engineering
LangGraph
A2A
embedding
MCP Functional Calling
Agno
Pydantic
Spring AI
Agentic RAG
Azure AI Search
LlamaIndex
About Company
Skills:
Machine Learning, Generative AI, Data Analysis, Deploying machine learning models in cloud environments, Data preprocessing techniques, Feature engineering
Skills:
Tensorflow, Pytorch, Python, LangChain, scikit-learn, Azure OpenAI Service, vector databases, LangGraph, OpenAI Agents SDK, OpenAI APIs, MLOps tooling, OpenAI Evals, GPT-4, semantic search, pgvector, Azure AI Search, Pinecone
Skills:
Ml, C, Cuda, Tensorflow, Git, Pytorch, Docker, Linux, Opencv, Python, Kubernetes, Computer Vision, Ai, cloud platforms, TensorRT, ONNX, Real-time video processing, RTSP video streaming