- Advanced Data Analysis : Go beyond basic data exploration and delve into complex statistical analysis and modelling techniques using Python libraries like scikit-learn and TensorFlow.

- Conduct exploratory data analysis to gain insights and inform modelling decisions.

- Machine Learning Expertise : Architect and implement sophisticated machine learning models to solve real-world and complex problems.

- Design and implement scalable machine learning pipelines and workflows.

- Communication & Collaboration : Effectively translate technical findings into clear and actionable insights for technical and non-technical stakeholders.

- Collaborate with business teams to ensure data-driven solutions align with business objectives.

- Mentorship & Knowledge Sharing : Guide and mentor junior engineers, fostering a collaborative learning environment and sharing best practices within the team.

- Stay updated with the latest advancements in machine learning research and apply them to improve our solutions.

Skills :

- 4-6 Years experience into AI/ML/Gen AI engineering.

- Technical Expertise : Advanced proficiency in Python and its data science libraries (pandas, NumPy, scikit-learn, TensorFlow, etc.

- Experience with cloud platforms (AWS preferred).

- Experience working with Large Language Models (Gen AI) and Natural Language Processing.

- Statistical and Machine Learning Acumen : Deep understanding of statistical concepts, machine learning algorithms, and their applications in various domains.

- Experience with data pre-processing, feature engineering, and model evaluation.

- Familiarity with version control systems (e.g., GitHub) and CI/CD pipelines.

- Experience with containerization technologies such as Docker and Kubernetes.

- Problem-Solving & Innovation : A keen mind for identifying business problems and developing innovative data-driven solutions.

Nice To Have :

- ERP or Supply Chain domain experience.

- Identify potential business areas that can leverage AI, ML or GenAI paradigm and build necessary models.