:

- Join a high impact team where you ll lead the design and delivery of AI ML solutions that turn complex data into measurable business outcomes
- In this role you ll partner closely with stakeholders to shape problem statements guide technical direction and mentor teams building intelligent products and decision systems
- You ll balance hands on model development with consulting leadership translating real world needs into scalable machine learning and NLP approaches and ensuring solutions are reliable explainable and production ready
- If you enjoy collaborating across data science engineering and business teams and want to drive end to end AI initiatives from discovery to deployment this is a great chance to influence strategy elevate delivery standards and help organizations adopt AI responsibly and effectively

Key Responsibilities:

- Key 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

Technical Requirements:

- Primary skills Technology AI AI Engineering AI ML Solution Architecture and Design

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

Preferred Skills:

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

📌 AI/ML (Bengaluru)
🏢 Infosys
📍 Bengaluru