Skill 1 - Generative AI, Agentic AI, RAG, Prompt Eng, Python, LLM

Exp - only 5+ years will be considered

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
Knowledge of DL & GenAI algorithms: Transformers, CNN, RNN, etc.
Experience with NLP, Large Language Models (LLMs), and Multimodal Language Models like: GPT, LLaMa, Mistral, Qwen, Nemotron, etc.
Hands-on experience with Cloud platforms: Azure, AWS, or GCP
Familiarity with Git, Docker, and Kubernetes
Strong problem-solving skills.

Skill - 2 - AI/ML, Python

Exp - only 5+ years will be considered

Develop AI features using AWS Bedrock.
Implement Python-based services and utilities.
Build prompt flows and agent tools.
Integrate AI services with upstream/downstream systems.
Write clean, testable, and reusable code.
Support unit testing and bug fixes.
Participate in code reviews and sprint deliveries.
Cloud platforms: AWS Bedrock fundamentals AWS Neo, prompt engineering
Strong Python fundamentals
REST APIs and integration patterns
Basic understanding of multi agent workflows
2.5 years in Python / AI / backend development
Exposure to cloud-native development preferred

Skill - 3 - MS Copilot, power platform and copilot studio

Exp - only 5+ years will be considered

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




CoPilot experience
Deep understanding of Microsoft Azure Power Platform Microsoft 365 and Copilot extensibility
Experience in developing custom web resources for PowerApps
Skilled in creating and utilising custom connectors
Ability to consume APIs functions to retrieve and update data from
Design and secure and high performing Copilot solutions using Microsoft Copilot Azure OpenAI and Microsoft 365 integrations

Skill 4 - MLOps

Exp - only 5+ years will be considered

Build and maintain end to end ML pipelines including data preparation, model training, deployment, and monitoring.
Automate model deployment using CI/CD practices.
Manage model versioning, experiment tracking, and reproducibility.
Monitor model performance, data drift, and system reliability in production.
Collaborate with data scientists and data engineers to productionize models.
Implement governance, security, and access controls for ML workflows.
Optimize infrastructure usage and ensure scalable model serving.
Support incident troubleshooting and continuous improvement of ML systems.
Strong 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.

Experience working with large-scale data platforms and distributed processing.
Exposure to feature stores, model governance, and automated retraining workflows.

Skill 5 - GEN Ai Project Manager

Exp - only 12+ years will be considered

- Lead the full lifecycle of GenAI projects, from proof-of-concept (PoC) to deployment on Azure, managing scope, timelines, and budget
• Supervise technical teams in developing RAG pipelines, LLM-based assistants, and agentic workflows
• Coordinate the implementation and extension of Microsoft 365 Copilots and custom Copilot Studio agents
• Manage GenAI-specific risks, including hallucination mitigation, data privacy (PII masking), and Responsible AI guardrails, ensuring compliance with internal AI governance
• Should have executed large scale Migrations Implementations.
• Experienced in driving major IT projects managing multiple priorities simultaneously setting timelines holding people accountable and delivering projects on time and on budget.Experienced in Azure Services technologies
• Expertise in planning and managing multiple stakeholders including client offshore and cross functional teams to deliver the projects
Understanding of GenAI, RAG, LLM, Azure OpenAI, Azure AI Studio, Copilot ADO or any project Management tools
- Valuable in excel, word, PPT

📌 AI/ML with Python, Data Science (Telangana)
🏢 LTM
📍 Telangana