Key Skill sets
Gen AI/Agentic AI -Python, RAG, Prompt Engg.

4- 12 yrs

P2/P3/P4

Practical exposure to Generative AI (GenAI) and DL frameworks

Strong programming skills in Python and experience with Linux/Windows environments

Proficiency with common data science toolkits:

TensorFlow, Keras, PyTorch, Pandas, NumPy, etc.

Familiarity with GenAI frameworks

LangChain, LlamaIndex, LangGraph, CrewAI, NeMo Agent Toolkit, NAT

Hands-on experience with Cloud platforms:

Azure, AWS, or GCP

Familiarity with Git, Docker, and Kubernetes

Robust problem-solving skills.
AI/ML, Python

4- 12 yrs

P2/P3/P4

AWS Bedrock fundamentals

AWS Neo, prompt engineering

Robust Python fundamentals

REST APIs and integration patterns

Basic understanding of multi agent workflows

25 years in Python / AI / backend development

Exposure to cloud-native development preferred
MLOps Engineer

4- 12 yrs

P2/P3/P4





Solid Python and SQL skills.

Experience with ML platforms such as Databricks, MLflow, SageMaker.

Knowledge of CI/CD tools and DevOps practices.

Experience with cloud platforms (AWS, Azure, or GCP).

Understanding of model lifecycle management and monitoring concepts.

Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus.

Preferred Experience
MS Copilot, power platform and copilot studio

4- 12 yrs

P2/P3/P4

Primary Skills - Microsoft Power Platform Canvas Model Driven Dataverse CoPilot Studio

Minimum 1 year CoPilot experience

Deep understanding of Microsoft Azure Power Platform Microsoft 365 and Copilot extensibility

Experience in developing custom web resources for PowerApps

📌 Data Science Engineer Hyderabad (India)
🏢 LTM
📍 India