AI/ML

Infosys Limited; Bengaluru; On-site; INR 4,000,000 - 5,600,000; Full time

Job summary

Infosys Limited is seeking an experienced AI/ML professional to lead end-to-end engagements from discovery to rollout, partnering with business and tech teams to define use cases and roadmaps.

You will design and deploy ML/NLP solutions, ensure robust evaluation, and mentor junior staff while advancing reusable accelerators and best practices. This role expects strong communication across technical and non-technical stakeholders.

Qualifications

• Bachelor’s degree (or equivalent) in Engineering/Technology/Computer Science or related field (e.g., BE/BTech/BSc)
• 5–9 years of overall experience with strong, hands‑on expertise in AI/ML solution development and delivery
• Proven experience applying machine learning techniques to real‑world datasets, including model evaluation and iteration
• Practical experience with NLP and data learning workflows, including preparing and analyzing text and structured data
• Ability to lead technical discussions, translate requirements into approaches, and guide teams toward outcomes

Responsibilities

• Lead end-to-end AI/ML engagements: discovery, solution design, development, validation, and rollout.
• Partner with business and technical stakeholders to define use cases, success metrics, and implementation roadmaps.
• Design and build machine learning models aligned to business objectives, ensuring robust evaluation and performance tracking.
• Drive NLP solution development (e.g., text classification, entity extraction, search/relevance) based on problem needs.
• Establish best practices for data preparation, feature engineering, model selection, and experimentation workflows.
• Review model results and communicate insights, trade-offs, and recommendations to both technical and non-technical audiences.
• Collaborate with engineering teams to support model operationalization, monitoring, and continuous improvement.
• Mentor junior team members, conduct technical reviews, and contribute to reusable assets and accelerators.

Skills

AI/ML expertise

NLP

Stakeholder mgmt

Mentoring

Communication

Education

BE/BTech/BSc in Engineering/CS

Master's degree preferred

Tools

MLOps

Model Monitoring

Feature Engineering

Data Visualization

Cloud Platforms

Job description

Job ID/Reference Code

INFSYS-INDEED1-252651

Work Experience

9 - 11 Years

Job Title

AI/ML

Educational Requirements

Bachelor of Engineering,BTech,MTech,MCA,MSc

Service Line

Data & Analytics Unit

Responsibilities

• Lead end-to-end AI/ML engagements: discovery, solution design, development, validation, and rollout.
• Partner with business and technical stakeholders to define use cases, success metrics, and implementation roadmaps.
• Design and build machine learning models aligned to business objectives, ensuring robust evaluation and performance tracking.
• Drive NLP solution development (e.g., text classification, entity extraction, search/relevance) based on problem needs.
• Establish best practices for data preparation, feature engineering, model selection, and experimentation workflows.
• Review model results and communicate insights, trade-offs, and recommendations to both technical and non-technical audiences.
• Collaborate with engineering teams to support model operationalization, monitoring, and continuous improvement.
• Mentor junior team members, conduct technical reviews, and contribute to reusable assets and accelerators.

Additional Responsibilities

Minimum Qualifications

• Bachelor’s degree (or equivalent) in Engineering/Technology/Computer Science or related field (e.g., BE/BTech/BSc).
• 5–9 years of overall experience with strong, hands‑on expertise in AI/ML solution development and delivery.
• Proven experience applying machine learning techniques to real‑world datasets, including model evaluation and iteration.
• Practical experience with NLP and data learning workflows, including preparing and analyzing text and structured data.
• Ability to lead technical discussions, translate requirements into approaches, and guide teams toward outcomes.

Preferred Qualifications

• Master’s degree (or equivalent) such as MTech/MCA/MSc in a relevant discipline.
• Experience leading consulting‑style engagements, including stakeholder management, estimation, and delivery governance.
• Strong track record of deploying AI/ML solutions into production environments with monitoring and iteration practices.
• Experience designing NLP pipelines for domain‑specific problems and improving performance through experimentation.
• Ability to define reusable frameworks, accelerators, and standards that improve team productivity and quality.

Good to have skills:

• MLOps
• Model Monitoring
• Feature Engineering
• Data Visualization
• Cloud Platforms

Technical and Professional Requirements

• Primary skills:Technology->AI-AI Engineering->AI/ML Solution Architecture and Design

Preferred Skills

• Technology->AI-AI Engineering->AI/ML Solution Architecture and Design