Technical / Behavioural
Expertise in Machine Learning (ML) and Artificial Intelligence (AI) :
- Ability to interpret business challenges and convert them into ML-based problem statements, followed by designing and executing complete end-to-end solutions.
- Extensive hands-on experience in leveraging data mining and ML methodologies to address complex, real-world business scenarios.
- Proficient in working with diverse data types structured, unstructured, audio, and both static and streaming datasets.
- Advanced proficiency in Natural Language Processing (NLP) and / or Natural Language Understanding (NLU) techniques is essential.
- Strong command of Generative AI and Large Language Models (LLMs), including pre-training, fine-tuning, domain adaptation, and agent-based workflow design.
- Demonstrated ability to stay current with the latest research in ML / GenAI and apply state-of-the-art approaches to practical use cases within the organization.
- Skilled in clearly articulating design decisions, trade-offs, and outcomes to both technical and business stakeholders.
Behavioural / Soft Skills
Excellent verbal and written communication skills.Highly driven and goal-oriented, with a strong sense of ownership.Capable of working independently with minimal supervision.Effective collaborator in multidisciplinary and cross-functional teams.Able to coach, mentor, and support the growth of junior team members.Additional Skills
Advanced expertise in Python programming.Experience in developing and deploying ML models using cloud services such as AWS SageMaker.Familiar with Git-based workflows and CI / CD practices for collaborative, version-controlled development.Ability to structure and maintain clean, modular code using functional programming principles; exposure to statically typed functional languages is an advantage.Comfortable interacting with various data systems writing REST APIs, SQL queries, and PySpark scripts as needed.Experience with containerization technologies such as Docker.Desirable Skills
Understanding of recommendation systems and reinforcement learning frameworks.Practical experience with frameworks such as LangChain, LangGraph, or LlamaIndex.