Description

You will analyze, design, develop, deploy, and monitor complex AI/ML solutions.

Responsibilities

• Lead solutioning for clients, developing and improving models to solve business needs and increase efficiency.
• Define and ensure deliverables meet non-functional requirements and project schedules.
• Transform discovered functional requirements into technical requirements and architecture definitions.
• Present technical solutions using strong storytelling capabilities.

Required Skills

• Four or more years of analytical experience with expertise in ML Modelling (Supervised, Unsupervised, Neural Networks).
• Expert proficiency in Python, including libraries like SciKitLearn, NumPy, pandas, keras, and tensorflow.
• Experience with SQL and relational databases (Postgres, Oracle, SQL Server, Teradata).
• Hands-on experience with Linux/Unix open systems and AWS environments.
• Demonstrated expertise in NLP, Knowledge Graphs, and Deep Learning concepts.
• Experience productizing ML-based solutions in enterprise environments.
• Strong capability in defining technical architecture and making technology decisions.
• Working knowledge of FAIR principles and Explainable AI.

Key Skills

Education

Any Graduate