Lead Data Scientist - Artificial Intelligence

Description :

Lead-AI/Data Scientist

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 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