Data & AI Solutions Analyst - Assistant Vice President

Overview

Intermediate-level Data & AI Solutions Analyst role responsible for developing product plans, strategies and tactics in coordination with the Product, Tech and analytics teams, and for coordinating the promotion, development and deployment of data, analytics and AI-driven products.

What you'll do

• Design, develop and deploy generative models (e.g., GPT, GAN, VAEs) for various applications.
• Customize and fine-tune existing RAG frameworks or design new RAG frameworks to meet project requirements.
• Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
• Conduct research to advance the state of the art in generative modelling and stay up to date with the latest advancements in the field.
• Optimize and fine-tune models for performance, scalability and robustness.
• Implement and maintain AI pipelines and infrastructure to support model training and deployment.
• Perform data analysis and preprocessing to ensure high-quality input for model training.
• Mentor junior team members and provide technical guidance.
• Write and maintain comprehensive documentation for models and algorithms.
• Present findings and project progress to stakeholders and management.

What you'll need

• Bachelor's or Master's degree in computer science, Data Science, Machine Learning, or a related field.
• 8+ years of experience in machine learning and deep learning, with a focus on generative models.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with natural language processing (NLP) and natural language generation (NLG).
• Proven track record of building and deploying generative models in production environments, particularly using RAG frameworks.
• Solid understanding of machine learning algorithms, data structures and software engineering principles.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice to have

• A Ph.D.
• Experience with cloud platforms such as AWS, Google Cloud or Azure.
• Knowledge of reinforcement learning and its applications in generative AI.
• Familiarity with MLOps practices and tools.
• Contributions to open-source projects or published research in top-tier conferences/journals.

Details

• Location: Gurugram, Haryana, India.
• Time type: Full time.