AI ML Engineer

Infosys; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A global technology company in India seeks a Data Scientist skilled in AI model development and data collection. The role involves profiling, machine learning, and presenting findings to stakeholders. Candidates should hold a Bachelor's degree in Engineering or related fields, with a preference for Master's degrees. Strong knowledge in AI and cloud platforms like Azure, AWS, or GCP is essential, along with collaboration and project management skills. Join us to make a significant impact in our Engineering Services team.

Qualifications

• Bachelor's degree in Engineering, Technology, Science, or related field.
• Master's degree preferred.
• Strong AI, ML, and data science knowledge.

Responsibilities

• Data collection, profiling, EDA, and data preparation.
• AI model development, tuning, and validation.
• Present findings to business users and project management.
• Collaborate with data scientists and engineers.

Skills

AI Model development

Data profiling

Machine Learning

Cloud platforms (Azure/AWS/GCP)

Data visualization (PowerBI, Tableau)

Strong business acumen

Project management

Education

Bachelor of Engineering

Bachelor of Technology

Master of Engineering

Job description

Educational Requirements

• Bachelor of Engineering
• Bachelor Of Technology
• Bachelor Of Science
• Bachelor Of Comp. Applications
• Master Of Engineering
• Master Of Technology
• Master Of Science
• Master Of Comp. Applications

Service Line

Engineering Services

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 AI services from cloud platforms Azure/AWS/GCP
• Apply advanced MLOps practices to streamline model deployment, monitoring, and lifecycle management.

Additional Responsibilities

• Good knowledge on software configuration management systems
• Strong business acumen, strategy and cross-industry thought leadership
• Awareness of latest technologies and Industry trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Two or three industry domain knowledge
• Understanding of the financial processes for various types of projects and the various pricing models available
• Client Interfacing skills
• Knowledge of SDLC and agile methodologies
• Project and Team management

Technical and Professional Requirements

• Primary skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL,Technology->Artificial Intelligence->Computer Vision,Technology->Data Science->Machine Learning

Preferred Skills

• Technology->Artificial Intelligence->Artificial Intelligence - ALL
• Technology->Data Science->Machine Learning
• Technology->data science->Computer Vision
• Technology->AI Hyperscalers->AWS Agentic AI Services
• Technology->AI Engineering->AI/ML Solution Architecture and Design