Job Description

Responsibilities :
Key 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.

Required Skills:

• 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

Additional Responsibilities :

• Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
• Good knowledge on software configuration management systems
• Awareness of latest technologies and Industry trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Understanding of the financial processes for various types of projects and the various pricing models available
• Ability to assess the current processes, identify improvement areas and suggest the technology solutions
• One or two industry domain knowledge
• Client Interfacing skills
• Project and Team management

Technical and Professional Requirements :
Preferred Skills:

• Experience in MLOps practices and tools.
• Proven track record of leading technical teams and projects.
• Strong problem-solving skills and attention to detail.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in technology or solution architecture, with a focus on data engineering, AI-ML and GenAI based solutions.
• Strong leadership and communication skills.

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

Skills Required