Data Scientist - Machine Learning/Artificial Intelligence

About the Role :

We are looking for a Data Scientist with strong experience in developing and deploying machine learning solutions for business problems. The ideal candidate should have hands-on expertise across data preparation, statistical and machine learning techniques, model development, experimentation, validation, and productionization, along with exposure to Generative AI and modern AI capabilities.

Key Responsibilities :

• Lead the ML development track within client engagements, from problem definition through deployment.
• Perform data collection, profiling, exploratory data analysis (EDA), feature engineering, and data preparation.
• Develop, experiment with, tune, and validate machine learning and deep learning models.
• Apply appropriate statistical and ML techniques to solve complex business problems across structured and unstructured data.
• Work with supervised, unsupervised, and reinforcement learning approaches where applicable.
• Explore and implement Generative AI and large language model (LLM) use cases, including model adaptation and fine-tuning approaches.
• Evaluate pre-trained models, open-source models, datasets, and third-party AI capabilities for business applications.
• Develop AI/ML solutions across domains such as NLP, computer vision, speech, and structured data, based on project requirements.
• Apply ensemble modelling, model optimization, and responsible AI practices to improve solution quality and reliability.
• Deploy and scale models using appropriate ML deployment and cloud technologies.
• Work with Azure, AWS, or GCP and leverage their AI/ML capabilities for solution development.
• Explore emerging AI technologies and conduct proofs of concept (PoCs) to evaluate their applicability to client and business use cases.
• Propose ML/AI solution approaches, estimate effort, and contribute to solution development and pre-sales activities.
• Present analytical findings, model outcomes, and business recommendations to clients, business users, and project leadership.
• Contribute to AI-based modules and accelerators within organizational solution development initiatives.
• Mentor junior team members and promote adoption of AI/ML best practices across the organization.
• Maintain high standards of model quality, documentation, scalability, security, and responsible AI.

Required Skills :

• 5 - 10 years of experience in Data Science, Machine Learning, or a closely related role.
• Strong hands-on programming experience in Python, R, and SQL.
• Strong understanding of statistical machine learning, deep learning, and model ensembling.
• Experience with data preparation, EDA, feature engineering, experimentation, model tuning, and validation.
• Experience working with supervised and unsupervised learning; exposure to reinforcement learning is an advantage.
• Hands-on experience with Generative AI/LLMs, including model fine-tuning or adaptation approaches.
• Good understanding of NLP, Transformer architectures, embeddings, and modern AI models.
• Exposure to computer vision, speech analytics, or other AI domains is preferred.
• Experience with AI/ML tools for data analysis, model development, deployment, scaling, and fine-tuning.
• Good understanding of open-source and pre-trained models, datasets, and third-party AI platforms.
• Experience with at least one hyperscaler: Azure, AWS, or GCP, with knowledge of their AI/ML capabilities.
• Understanding of Responsible AI, model fairness, transparency, and data privacy.
• Knowledge of model optimization techniques such as quantization and pruning is an advantage.
• Good understanding of software development practices, APIs, and application architecture.
• Strong analytical and problem-solving skills with the ability to break complex problems into structured hypotheses.
• Excellent communication skills with the ability to translate technical AI concepts and findings into business value and actionable recommendations.
• Strong innovation, experimentation, and mentoring capabilities.