NeoStats Analytics Solution

Job Description : Principal Generative AI Engineer

Job Title : Principal AI (Artificial Intelligence) Engineer

Team : GenAI Labs / Analytics

Location : Bangalore, India (Work from Office)

Experience Required : 6+ Years in Deep Learning (DL), Machine Learning (ML), or AI roles

Reporting to : Chief Data Officer

Management Responsibility : May manage 2-3 direct reports

Employment Type : Full-Time

About NeoStats Analytics :

NeoStats Analytics is a new-age Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022, we provide end-to-end Data & Analytics services, headquartered in the UAE, with operational bases in India and the UK. Comprised of industry veterans, we empower data and analytics transformations leveraging expertise in Data Engineering, Analytics, AI, true partnerships, and our unique "Data to Value" approach.

About the Job :

We are seeking a highly skilled Principal AI Engineer to join our GenAI team. The ideal candidate will bring extensive experience in generative AI, particularly large language models (LLMs), transformers, and neural networks. This role focuses on designing, developing, fine-tuning, and deploying advanced generative AI systems to deliver innovation across diverse business scenarios. You will collaborate closely with cross-functional teams to enhance existing AI models, ensuring performance, scalability, and efficiency.

Job Responsibilities :

- Identify client challenges and propose innovative AI/GenAI solutions, primarily leveraging Azure and OpenAI capabilities.

- Conduct functional and process design, prototyping, testing, training, and establish robust support procedures in partnership with data engineering and leadership teams.

- Design, build, and fine-tune generative AI models across applications such as NLP, computer vision, and other advanced analytics scenarios.

- Fine-tune and optimize large language models and open-source pre-trained transformers utilizing cloud and distributed computing environments.

- Collaborate closely with software engineering teams to integrate AI models effectively into existing products, services, and platforms.

- Develop robust APIs and scalable interfaces to ensure seamless deployment and operation of generative AI solutions.

- Provide technical and managerial leadership to a team dedicated to delivering AI solutions and product development.

- Partner with external institutions, research centers, and universities to explore and implement groundbreaking AI research initiatives.

- Ensure all AI solutions adhere to data privacy regulations, ethical standards, and compliance requirements.

- Stay current with emerging trends, tools, and best practices in machine learning and generative AI.

Knowledge & Experience :

- 6+ years of professional experience in AI, ML, Deep Learning, or related fields.

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or related disciplines (Ph.D. preferred).

- Proven expertise in generative AI models, including large language models and frameworks such as OpenAI.

- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).

- Deep understanding of transformer architectures, attention mechanisms, and neural network design.

- Advanced knowledge of statistical modeling, algorithmic techniques, linear algebra, and probability theory.

- Hands-on experience processing and managing large-scale datasets with efficient coding practices.

- Demonstrated capability in program leadership, governance, and facilitating change management.

- Experience with Azure Data & AI services.

- Familiarity with MLOps tools (MLFlow, Azure MLOps).

- Ability to creatively solve complex problems under resource constraints.

- Exceptional verbal and written communication skills, with the ability to effectively engage C-Level executives.

What We Offer :

- Opportunity to be part of a rapidly growing startup with significant career growth potential.

- Ownership and accountability for initiatives with clearly defined responsibilities.

- Continuous professional growth through close collaboration and mentorship from global senior data professionals and AI experts.

- A dynamic, supportive, and respectful workplace environment where your contributions are truly valued.