Lead AI Engineer

Lead AI Engineer

We are seeking a passionate and driven AI engineer with a proven track record of building and deploying cutting- edge AI solutions. As a leader you will be the driving force behind our AI strategy, providing technical guidance, fostering innovation and ensuring the successful delivery of AI projects.

Location - Bangalore

Exp- 5-9 yrs

Responsibilities

• Drive the AI roadmap in alignment with the companys strategic objectives.
• Mentor junior AI engineers and data scientists, fostering a culture of continuous learning and innovation.
• Ensure compliance with ethical AI principles, including bias mitigation, model explain ability, and data privacy.
• Champion AI governance frameworks to align with internal and external regulatory requirements.
• Collaborate with business leaders, product managers , and domain experts to identify high-impact AI opportunities.
• Translate business requirements into technical specifications and deliverable solutions.
• Architect scalable AI pipelines for production-grade applications.
• Optimize inference performance, model latency, and compute efficiency across cloud and edge environments.
• Implement robust model monitoring systems for drift detection, retraining , and feedback loops .
• Ensure AIOps/MLOps best practices for lifecycle management and versioning.
• Experience designing end-to-end AI solutions across multiple domains (e.g., computer vision, NLP, forecasting).
• Hands-on experience with vector databases , RAG architectures , prompt engineering , or agentic workflows (e.g., LangChain or LlamaIndex).
• Track and report on the business value generated by AI initiatives (ROI, efficiency gains, etc.).
• Support in building business cases for AI investments.
• Designing and implementing AI and machine learning models to solve business problems
• Collaborating with cross-functional teams to understand requirements and deliver tailored AI solutions
• Conducting research and prototyping new AI algorithms and techniques
• Developing and maintaining AI models to improve performance and accuracy
• Analysing and interpreting complex data sets to extract meaningful insights
• Documenting and presenting technical solutions to both technical and non-technical stakeholders
• Keeping up to date with the latest advancements in AI and machine learning technologies

Requirements

• Bachelors or master's degree in computer science or other related fields.
• Strong technical & analytical skill (Python OR R, SQL, predictive modelling, NLP/AI, Cloud, Generative AI, MLops, AIops etc)
• Experience with Large Language Models like OpenAI API, ChatGPT, GPT-4, Bard and Langchain, HuggingFace Transformers etc
• Proven experience in developing and implementing Gen AI algorithms and models
• Solid background in machine learning, deep learning, and natural language processing
• Experience with AI frameworks such as TensorFlow, PyTorch, or Keras
• Proficient in handling and analysing large datasets using SQL or NoSQL databases
• Strong programming skills in Python.
• Experience in model deployment & operation using CI/CD and cloud platforms (AWS, Azure,)
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Client Interaction
• Project Handling experience
• Apache Spark, Databricks, Apache Airflow, Prefect, Kafka, Delta Lake, dbt (data build tool)
• Worked on tools like MLflow, Kubeflow, BentoML, Seldon, Ray Serve, Amazon SageMaker, Azure ML, Google Vertex AI, Weights & Biases (W&B), Neptune.ai, Arize AI (model monitoring)
• LangChain , LlamaIndex (for RAG applications), Haystack , Rasa (for chatbots), OpenAI APIs , Anthropic Claude , Mistral, Embedding Models : OpenAI, Cohere, Sentence Transformers, Vector DBs : Pinecone , Weaviate , FAISS , Qdrant