AI/ML/GenAI Engineer

Responsibilities:

• 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:

• 4-7 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 in MLOps (MLflow/ kubeflow) is required.
• 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.