Lead Artificial Intelligence Engineer

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

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 : Lead AI Engineer

Location : Noida, Delhi/NCR

Experience : 6- 12 years

Education : BTech / BE / MCA / MSc Computer Science

Role Overview :

As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.

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 projectsfrom 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 :

- Masters (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.