Senior AI/ML Engineer [LLM] - 20 Positions - Hyderabad / Indore / Ahmedabad - In-Office 5 Days [Python]

Title: Senior AI/ML Engineer [LLM] - 20 Positions - Hyderabad / Indore / Ahmedabad - In-Office 5 Days [Python]
Location: Hyderabad / Indore / Ahmedabad - In-Office 5 Days - Full-time
Experience: 3-5 Years | Openings: 20
Key Skills: Python, Java, AWS, NLP, DynamoDB, TensorFlow, PyTorch, Chatbot Development, Agile Development, RAG, Machine Learning, Vector Databases, Embedding Models, LLM, EC2, Lambda, SageMaker, CloudWatch, API Gateway, Hugging Face Transformers, LangChain, Generative AI, Cloud Infrastructure, Team Leadership, SQL, Deep Learning, Azure, GitHub Actions, Docker, Kubernetes, Prometheus, Grafana, Apache Kafka, Airflow, Scikit-Learn, Pandas, Numpy, Bedrock, Azure AI Foundry, LangGraph, CrewAI, MLflow, Weights & Biases, Azure DevOps, Transformers, Embeddings, Document Parsing, Text Processing, REST API Design, Agentic Workflows
Roles & Responsibilities:
1. Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.
2. Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.
3. Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction.
4. Deploy and scale AI models on AWS and Azure [SageMaker, Bedrock, Azure AI Foundry] with seamless integration into data pipelines.
5. Build and maintain CI/CD pipelines for AI model deployment using GitHub Actions, Azure DevOps, Docker, Kubernetes.
6. Define and implement evaluation frameworks [precision, recall, F1, field-level accuracy] and maintain code quality through reviews and testing.
7. Partner with Product, Data Engineering, and Platform teams.
8. Mentor team members and share knowledge.
9. Continuously research advancements in NLP, LLMs, extraction techniques.
10. Follow Agile practices and drive automation across AI delivery pipeline.
Ideal Candidate:
- 3+ years professional AI/ML engg with track record delivering production-grade AI systems[Mandatory]
- Strong Python + SQL + scikit-learn/pandas/numpy + PyTorch/TensorFlow + REST API[Mandatory]
- Hands-on building/deploying prod ML/LLMs incl. RAG, doc parsing, extraction, text processing on large-scale unstructured data[Mandatory]
- Strong NLP / extraction-focused ML depth — transformers, embeddings, vector DBs, RAG, LLM integrations, agentic workflows[Mandatory]
- Hands-on AWS and Azure [AI Foundry, Azure OpenAI] for training/fine-tuning/deployment at scale[SageMaker][Bedrock][Lambda][Mandatory]
- Multi-agentic frameworks — Claude Code, LangGraph, LangChain, CrewAI[Mandatory]
- MLOps — MLflow, Weights & Biases, model versioning/registry, retraining, CI/CD — GitHub Actions, Azure DevOps, Docker, K8s[Mandatory]
- Evaluation frameworks + AI observability — Prometheus, Grafana, SLOs[Mandatory]
- Leading projects/teams, managing deliverables, mentoring[Mandatory]
- Bachelors/Masters in CS/Engg/Data Science/Maths/Stats[Mandatory]
- Company: B2B Tech/Consulting/B2B Software[Mandatory]
- Preferred: AWS/Azure/Databricks certifications, Kafka/Airflow, Agile
Additional Info: Company is CMMI Level 3, 4.6/5 Glassdoor, global clients. Locations: Austin [USA], Singapore, Hyderabad, Indore, Ahmedabad.
Interview Process: Tech Round > Tech Round > Tech+Managerial Round > Final CTC Discussion

Work arrangement
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