IT Consulting

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.