Job Description
Location: BANGALORE, Infosys Limited
Job ID / Reference Code: INFSYS-EXTERNAL-230375
Work Experience: 5 – 20 Years
Job Title: AI/ML
Educational Requirements: Bachelor of Engineering
Service Line: Quality
About the Role
Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning projects. Experience in productionizing machine learning models and guiding development teams for implementing machine learning use cases. The candidate should provide technology consulting for defining the right Data Science and ML use cases.
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 provide 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.
- Productionize ML models and guide development teams on implementations.
- Provide technology consulting for defining right Data Science and ML use cases.
Technical & Professional Requirements
- Strong knowledge of ML algorithms (supervised, unsupervised, reinforcement learning).
- AI domains experience: NLP, speech, computer vision.
- Tools for data analysis, AutoML, model deployment and scaling.
- Knowledge of datasets and data sources.
- Programming: Python.
- Experience with databases.
- Knowledge of cloud platforms: Azure / AWS / GCP.
- Experience in productionizing ML models and end-to-end ML architecture.
- Experience with visualization tools (PowerBI, Tableau) and presenting to stakeholders.
Preferred Skills
- Responsible AI / Ethical AI awareness and implementation experience.
Job details made easy by trendtoday360
Job Summary
- Position: AI/ML
- Company: Infosys Limited
- Location: Bangalore
- Job ID: INFSYS-EXTERNAL-230375
- Experience: 5 – 20 Years
- Education: Bachelor of Engineering
- Department / Service Line: Quality
- Key Skills: Python, ML algorithms, Model productionization, Cloud (Azure/AWS/GCP), Data prep, EDA, Visualization
- Role Focus: Data science consulting, productionizing ML, mentoring, solution architecture
Key Responsibilities (Summary)
- Lead end-to-end ML solution design, development and productionization.
- Perform data collection, profiling, EDA, and data preparation.
- Build, tune and validate ML models across domains (NLP, CV, speech).
- Design deployment and scaling strategies on cloud platforms.
- Communicate findings and technical recommendations to business stakeholders.
- Mentor and guide development teams on ML implementation and best practices.
- Drive PoCs and explore advances in AI, including Responsible AI practices.
Who Can Apply
- Experienced data scientists / ML engineers with strong Python skills and end-to-end ML experience.
- Candidates who have productionized ML models and worked with cloud platforms.
- Professionals comfortable communicating with business stakeholders and mentoring teams.
- Individuals familiar with Responsible AI / ethical AI principles (preferred).
Job updates by trendtoday360







Leave a Reply