Job Description

Key ResponsibilitiesAI Strategy & Architecture

Define and own the AI architecture roadmap aligned with business goals. Design scalable AI/ML systems, pipelines, microservices, and LLM-based architectures. Evaluate and select the right algorithms, models, and frameworks (LLMs, CV, NLP, RAG, multi-agent systems, etc). Architect solutions for model training, fine-tuning, vector databases, embeddings, and AI agents. Build high-performance model serving infrastructure using GPUs or cloud AI services.

Solution Design & Development

Lead the design of AI-powered applications, chatbots, automation tools, and predictive analytics systems. Develop end-to-end ML workflows: data ingestion ? preprocessing ? model build ? deployment ? monitoring. Architect RAG (Retrieval Augmented Generation) systems and enterprise AI copilots. Enable integration of AI systems with APIs, databases, CRM/ERP, mobile apps, and internal tools.

Leadership & Collaboration

Work closely with product managers to translate business requirements into technical AI solutions. Guide ML engineers, data scientists, and developers on model implementation. Provide technical mentorship and enforce best practices for AI design & delivery.

AI Governance, Security & Compliance

Implement data privacy, security, and compliance practices within AI environments. Establish MLOps, LLMOps, and DevSecOps frameworks for continuous deployment and monitoring. Define KPIs and evaluation metrics for AI model performance and success.

Required Skills & QualificationsTechnical Skills

Strong experience with

AI/ML frameworks:

PyTorch, TensorFlow, Keras, Scikit-learn. Expertise with

LLMs & GenAI:

OpenAI, Claude, Gemini, Llama, fine-tuning, custom model training. Deep knowledge of

RAG pipelines

, vector DBs (Pinecone, Chroma, Weaviate, FAISS). Hands-on with

ML Ops / LLM Ops:

Kubeflow, MLflow, Airflow, Docker, Kubernetes. Proficiency in

Python

, APIs, microservices, cloud (AWS/Azure/GCP). Experience with data engineering: ETL pipelines, SQL/NoSQL, data modeling. Familiarity with multi-agent frameworks (CrewAI, LangChain Agents, AutoGPT).

Soft Skills

Strong problem-solving mindset and analytical thinking. Ability to convert business needs into AI-driven solutions. Clear communication and stakeholder management. Leadership ability to manage teams and mentor juniors.

Preferred Qualifications

Master's or Bachelor's degree in Computer Science, AI/ML, Data Science, or related field. Prior experience designing AI systems for enterprise clients. Experience working with large-scale datasets and high-traffic production systems. Publications, contributions to open-source AI projects, or certifications (NVIDIA, AWS, Google AI).
Job Types: Full-time, Part-time, Freelance

Pay: ₹8,086.00 - ₹55,535.31 per month

Work Location: In person