AI Lead

Lead/Sr 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

Responsibilities

• Drive the AI roadmap in alignment with the company’s 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.

• 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).

• 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).

• 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

• 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

Requirements

• Bachelor’s 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

• 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

• 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

• 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,)

• 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, LlamaInd

.

Collaborate with business leaders, product managers, and domain experts to identify high-impact AI opportunities.

Translate business

requirements

into technical specifications and deliverable solutions.

• 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).

• 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).

• 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

• 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
• Docume