Data Science Consultant with AI/ML Expertise

Infosys; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Infosys in Bengaluru seeks a Data Science Consultant with strong Python and ML experience to design, build, and productionize AI/ML solutions for business use cases.

You will lead end-to-end data science projects, mentor teammates, present findings to business users, and explore PoCs while applying NLP, computer vision, and cloud platforms such as Azure, AWS or GCP.

Qualifications

• Experience in data science and ML consulting.
• Strong programming and problem-solving skills.
• Ability to productionize ML models and guide teams.

Responsibilities

• Develop, tune and validate ML models for business use cases.
• Present findings to business users and project teams.
• Mentor other team members and guide development.
• Explore PoCs and stay updated with AI advances.
• Contribute to end-to-end DS architecture and deployment.

Skills

Python

Machine learning

Data analysis

NLP

Speech processing

Computer vision

reinforcement learning

Tools

PowerBI

Tableau

Azure

AWS

GCP

AutoML

Job description

• AI/ML - JL6
• 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
• Contribute to AI based modules in Infosys solutions development
• Explore new advances in AI continuously and execute PoCs
• Mentoring: guide other team members
• ML algorithms
• AI domains: NLP, speech, computer vision
• Supervised, Unsupervised, Reinforcement learning
• Tools for data analysis, auto ML, model deployment and scaling
• Knowledge of datasets
• Programming: Python
• Databases
• Knowledge of cloud platforms: Azure/AWS/GCP.
• Data Science Consultant with machine learning and Python experience.
• Knowledge on end-to-end architecture of Data Science and machine learning project.
• Experience in productionizing machine learning models and guide development team for implementing machine learning use cases.
• The candidate should provide technology consulting for defining right Data Science and ML use cases.