Walk-in || Machine Learning Engineer

Please find below JD:

GEN AI - Data Science - Analytics Consultants / Sr. Analytics Consultant

Yrs of Exp: 3 to 5

Notice Period: 0 - 15 days

Key Responsibilities

Design, develop, and deploy LLM-powered applications using OpenAI, Azure OpenAI, and Hugging Face frameworks.

Build RAG pipelines using embeddings, retrievers, and vector databases such as Pinecone, FAISS, or Weaviate.

Implement prompt engineering, fine-tuning, and optimization for domain-specific use cases.

Develop and maintain Python-based microservices using FastAPI, Flask, or Streamlit for AI model integration.

Collaborate with data and frontend teams to integrate AI-powered search, summarization, and conversational assistants into enterprise systems.

Ensure data security, scalability, and compliance in AI solutions.

Continuously explore the latest AI/ML research, tools, and frameworks to enhance solution performance.

Required Skills & Experience

Strong experience with LLMs (OpenAI, Azure OpenAI, LangChain, LlamaIndex).

Hands-on expertise in RAG architectures and vector databases (Pinecone, FAISS, Weaviate, Redis).

Proficiency in Python and frameworks like FastAPI, Flask, or Django.

Experience deploying models on cloud platforms (Azure, AWS, GCP).

Familiarity with REST APIs, JSON parsing, and data integration workflows.

Knowledge of MLOps, Docker, Kubernetes, and CI/CD practices.

Strong analytical, problem-solving, and communication skills.

Good to Have

Experience with observability tools like MLflow, LangSmith, or Weights & Biases.

Exposure to voice-based AI assistants or AI narration systems.

Prior experience with NLP-driven applications in domains like finance, healthcare, or marketing.

Contributions to open-source AI/ML projects.