Description

You will design, build, and deploy complex AI and ML solutions for enterprise clients.

This role is hybrid.

Responsibilities

• Lead solutioning efforts to define technical architecture and meet non-functional requirements.
• Develop and improve ML models to solve business needs and increase operational efficiency.
• Transform functional requirements into technical specifications and architecture definitions.
• Productize ML-based solutions within enterprise environments, ensuring adherence to project schedules.
• Present technical solutions to stakeholders using clear storytelling and strong communication.

Required Skills

• 4+ years of analytical experience with expertise in Supervised, Unsupervised, and Neural Network modeling.
• Expert proficiency in Python, including SciKitLearn, NumPy, pandas, Keras, and TensorFlow.
• Hands-on experience with SQL and relational databases such as Postgres, Oracle, SQL Server, and Teradata.
• Experience working with Linux/Unix open systems and AWS cloud environments.
• Deep understanding of NLP, Knowledge Graphs, and Deep Learning concepts.
• Strong capability in defining technical architecture and making technology decisions.
• Working knowledge of FAIR principles and Explainable AI.

Key Skills

Education

Any Graduate