Senior AI Innovator

11 hours ago

Delhi, Delhi, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Transforming Businesses through AI and Data Science

Job Description

As a Senior Data Scientist / AI Engineer at our company, you will be a key player in our technical leadership team. Your primary responsibility will be to design, develop, and deploy sophisticated AI and Machine Learning solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will also be responsible for architecting and managing scalable AI microservices, driving research into state-of-the-art techniques, and translating complex business requirements into tangible, high-impact products.

This role requires a blend of deep technical expertise, strategic thinking, and leadership skills. As a member of our team, you will have the opportunity to work on cutting-edge projects that push the boundaries of AI and data science. You will also have access to cutting-edge technology and innovative projects that allow you to grow professionally and personally.

Key Responsibilities:
  1. Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
  2. Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
  3. Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
  4. Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
  5. End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
  6. Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
  7. Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.
Required Skills and Qualifications:
  1. Masters (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
  2. 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
  3. Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
  4. Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
  5. Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.
  6. Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
  7. Experience with containerization technologies, specifically Docker.
  8. Solid understanding of software engineering principles and experience building APIs and microservices.
Benefits:

We offer a dynamic work environment where you can grow professionally and personally. As a member of our team, you will have access to cutting-edge technology and innovative projects that allow you to grow professionally and personally. Our collaborative culture encourages open communication, creativity, and continuous learning.

Others:

Join us in shaping the future of data science and AI.

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