AI/ML Engineer

JD - AIML Engineer (Hyderabad)AI/ML Engineer

Key Responsibilities

• Design and develop advanced AI/ML models and algorithms for business applications.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Develop and maintain high-quality, scalable, and secure AI/ML infrastructure and pipelines.
• Conduct experiments, analyze results, and provide data-driven recommendations for AI/ML model improvements.
• Develop and maintain technical documentation for AI/ML models, algorithms, and infrastructure.
• Stay up-to-date with the latest AI/ML trends, research, and technologies to recommend innovative solutions.
• Work closely with data engineers to develop and maintain data pipelines and ensure data quality.
• Develop and implement robust testing and validation procedures for AI/ML models.

Required Qualifications

• 8+ years of experience in AI/ML engineering with a focus on Generative AI and LLM-based systems.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Hands-on experience building Agentic AI systems, including multi-agent frameworks, autonomous workflows, and orchestration patterns.
• Experience with LLM application frameworks such as LangChain, Semantic Kernel, AutoGen, or equivalent.
• Solid understanding of RAG (Retrieval-Augmented Generation) and vector databases (FAISS, Pinecone, Azure AI Search).
• Experience designing prompt engineering strategies, evaluation pipelines, and guardrails.
• Strong skills in API development and microservices architecture (FastAPI, Flask).
• Familiarity with cloud platforms (Azure preferred) including Azure OpenAI, AI Studio, Functions, and Kubernetes.
• Experience with CI/CD, MLOps, and deploying ML/AI solutions at scale.

Technical Skills & Experience

• Strong proficiency in Python and ML frameworks.
• Experience with LLM application frameworks.
• Solid understanding of RAG (Retrieval-Augmented Generation) and vector databases.
• Experience designing prompt engineering strategies.
• Strong skills in API development and microservices architecture.
• Familiarity with cloud platforms (Azure preferred).
• Experience with CI/CD, MLOps, and deploying ML/AI solutions at scale.
• Experience with data engineering pipelines (Spark, Databricks).

Preferred Qualifications

• 8+ years of total experience with deep exposure to enterprise AI use cases.
• Experience building multi-agent autonomous systems with reasoning, planning, and tool use.
• Knowledge of graph-based workflows and orchestration frameworks.
• Experience fine-tuning LLMs and working with open-source models (Llama, Mistral, etc.).
• Familiarity with evaluation frameworks (prompt testing, hallucination detection, safety benchmarking).
• Experience with real-time streaming data systems and event-driven architectures.
• Exposure to Responsible AI practices, governance, and model risk management.

Background Verification MUST

If interested, please share your updated resume to [email protected]

Pay: ₹407,628.29 - ₹1,674,242.27 per year

Experience:

• Machine learning: 4 years (Preferred)
• AI: 2 years (Preferred)

Work Location: In person