Hiring: Lead-AI Engineer | Noida (Hybrid) | Join CloudSufi

About Us :

CLOUDSUFI, a Google Cloud Premier Partner

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role:

Location:

Experience:

Role Overview:

Senior Data Scientist / AI Engineer,

Key Responsibilities:

• 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.

• Build AI Infrastructure:

   Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.

• 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.

• 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.

• 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.

• Team Leadership & Mentorship:

   Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.

• 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

• Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
• Expert-level proficiency in 

  Python

   and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
• Demonstrable, hands-on experience building and fine-tuning 

  Large Language Models (LLMs)

   and implementing 

  Generative AI

   solutions.
• Proven experience in developing and deploying scalable systems on cloud platforms, particularly 

  AWS

  . Experience with 

  GCS

   is a plus.
• Strong background in 

  Natural Language Processing (NLP)

  , including experience with multilingual models and transcription.
• Experience with containerization technologies, specifically 

  Docker

  .
• Solid understanding of software engineering principles and experience building APIs and microservices.

Preferred Qualifications

• A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
• Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
• Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
• Proven ability to lead technical teams and mentor other engineers.
• Experience developing custom tools or packages for data science workflows.