Overview
We are seeking a skilled AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The role involves building predictive models, developing AI-driven applications, implementing data pipelines, and optimizing ML systems for production environments.
The ideal candidate should have strong experience in Machine Learning, Deep Learning, Python programming, cloud platforms, and modern AI frameworks.
Job Description
Key Responsibilities
- Design, develop, train, and deploy Machine Learning and AI models.
- Integrate LLMs with Knowledge Graphs, vector databases, and enterprise systems.
- Fine-tune prompts, response handling, and context management for conversational workflows.
- Develop AI pipelines using Python and ML frameworks.
- Build and optimize embeddings, vector search, and similarity search mechanisms using FAISS or equivalent technologies.
- Collaborate with product, IAM, DevOps, and engineering teams for AI feature integration.
- Monitor model performance, hallucination handling, drift detection, and response quality.
- Collaborate with product, engineering, and business teams to define AI use cases.
- Develop REST APIs and integrate AI models into applications and services.
- Support MLOps, CI/CD pipelines, and cloud deployment activities.
- Document AI models, workflows, and technical designs.
Mandatory Skills
- 5–8 years of experience in AI/ML engineering or GenAI application development.
- Strong programming skills in Python.
- Experience with AI/ML frameworks and libraries:TensorFlow and PyTorch
- Experience with Generative AI and LLM technologies: Amazon Bedrock, OpenAI Platform, LangChain and LangGraph
- Experience in NLP, embeddings, semantic search, and RAG architectures.
- Experience with graph databases:Neo4j
- Knowledge of data processing and model evaluation techniques.
- Experience with SQL and NoSQL databases.
Preferred Skills
- Experience with AWS AI/ML services.
- Knowledge of identity governance and privileged access management domains.
- Experience with Streamlit or AI UI frameworks.
- Build intelligent chatbot and conversational AI capabilities for IAM/PAM/IGA use cases.
Skills & Requirements
AI/ML Engineering, Generative AI, Large Language Models (LLMs), Python, TensorFlow, PyTorch, Amazon Bedrock, OpenAI Platform, LangChain, LangGraph, Natural Language Processing (NLP), Embeddings, Semantic Search, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Vector Databases, FAISS, Vector Search, Similarity Search, Neo4j, Graph Databases, REST APIs, MLOps, CI/CD Pipelines, AWS AI/ML Services, SQL, NoSQL Databases, Conversational AI, Intelligent Chatbots, Prompt Engineering, Context Management, AI Pipelines, Model Deployment, Model Evaluation, Drift Detection, Hallucination Handling, Streamlit, Cloud Deployment, Enterprise AI Integration, IAM, PAM, IGA
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