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Posted:11 hours ago| Platform: GlassDoor logo

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Job Type

Full Time

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

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