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Role Summary
We are hiring an AI/ML Engineer with 4-6 years of hands-on experience in building and deploying AI/ML solutions. The candidate should have strong practical exposure to model development, deployment, monitoring, and scalable AI systems.
Experience Required: 4-6 Years
Employment Type: Full Time
Preferred Skills: AI/ML, GenAI, MLOps, Azure
Key Responsibilities
• Develop and deploy AI/ML and Generative AI solutions for enterprise use cases.
• Build and maintain end-to-end ML pipelines from training to production deployment.
• Implement monitoring, observability, and performance tracking for AI systems.
• Work with APIs, vector databases, embeddings, and RAG-based applications.
• Collaborate with cross-functional teams to optimize scalable AI deployments.
Required Skills & Qualifications
• Hands-on experience in Machine Learning, Deep Learning, and Generative AI.
• Strong Python, SQL, API development, and ML framework knowledge.
• Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and MLflow.
• Understanding of observability, monitoring, logging, and model drift detection.
• Experience with Azure Cloud Stack is a plus.
Job ID: 152086031
Skills:
data engineering , Image Processing, Deep learning neural networks, Designing and maintaining scalable data pipelines, Chatbots, Cloud AI services, Generative AI models
Skills:
workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures
Skills:
Pyspark, Python, CrewAI, LangChain, LangGraph, Generative AI, AWS Bedrock, FAISS, ChromaDB, Pinecone, OpenSearch
Skills:
Tensorflow, Jax, Pytorch, Python, Generative AI solutions, LLM orchestration tools, NLP models, MLOps workflows
Skills:
Artificial Intelligence, Machine Learning, Core Python, Python, Generative AI, Large Language Models, Llm, Generative AI Applications, RAG, Retrieval-Augmented Generation