Job Description

Responsibilities :
Data collection, profiling, EDA & data preparation

• AI Model development, tuning & validation
• Visualization tools (e.g., PowerBI, tableau)
• Present findings to business users & project management teams
• Propose ML based solution approaches and estimates for new use cases
• Experience in ML algorithms, NLP, GenAI based solutions
• Supervised, Unsupervised, Reinforcement learning
• Collaborate with data scientists and engineers to support ML model training, evaluation, and deployment.
• Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP
• Apply advanced MLOps practices to streamline model deployment, monitoring, and lifecycle management.

Additional Responsibilities :

• Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data
• Awareness of latest technologies and trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Ability to assess the current processes, identify improvement areas and suggest the technology solutions
• One or two industry domain knowledge

Technical and Professional Requirements :

• Proficiency in Python for data processing, automation tasks, and model development.
• Strong understanding of ML model training, evaluation, and deployment.
• Proficiency in GenAI based solution development.
• Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP.
• Experience in python-based web application for AI-ML use cases

Preferred Skills :
Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai
Generic Skills :
Technology->OpenSystem->Python - OpenSystem
Educational Requirements :
Bachelor of Engineering,Bachelor Of Science,Bachelor Of Technology,BCA,Master Of Technology,Master Of Engineering,Master Of Science,MCA
Service Line :
Engineering Services

Skills Required