Technical Lead - AI/ML

Finonyx Software Solutions Pvt Ltd; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Finonyx Software Solutions Pvt Ltd in Bengaluru seeks an experienced ML/AI engineering lead to drive end-to-end ML projects from problem framing to deployment. You will mentor teams, own model performance, and collaborate with product and data engineers to deliver scalable AI solutions.

The role requires strong expertise in ML frameworks, Python, SQL, cloud platforms, and MLOps, with a track record of production ML deployments and stakeholder communication.

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science or related field.
• PhD preferred for senior/lead role.

Responsibilities

• Lead the AI/ML development lifecycle including problem framing, data collection, model building, evaluation, and deployment.
• Drive architectural decisions and best practices in AI/ML systems design.
• Mentor and support junior engineers and data scientists.
• Provide customer Demo for the in-house products.
• Manage multiple ML projects, ensuring timely delivery, scalability, and quality.
• Work closely with stakeholders to translate business problems into ML solutions.
• Own and manage model performance, explainability, and drift monitoring in production.
• Collaborate with product managers, software engineers, and data engineers to integrate ML solutions into applications and services.
• Communicate effectively with technical and non-technical stakeholders.
• Stay up to date with the latest AI/ML research and tools.
• Drive the adoption of new technologies and approaches that improve AI capabilities and efficiency.

Skills

AI/ML

Python

SQL

TensorFlow

PyTorch

Scikit-learn

MLOps

AWS

GCP

Azure

CI/CD for ML

NLP

Computer Vision

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science

PhD preferred

Tools

None

Job description

Key Responsibilities

• Lead the AI/ML development lifecycle including problem framing, data collection, model building, evaluation, and deployment.
• Drive architectural decisions and best practices in AI/ML systems design.
• Mentor and support junior engineers and data scientists.
• Provide customer Demo for the in-house products.

Project Delivery

• Manage multiple ML projects, ensuring timely delivery, scalability, and quality.
• Work closely with stakeholders to translate business problems into ML solutions.
• Own and manage model performance, explainability, and drift monitoring in production.

Collaboration

• Collaborate with product managers, software engineers, and data engineers to integrate ML solutions into applications and services.
• Communicate effectively with technical and non-technical stakeholders.

Innovation & R&D

• Stay up to date with the latest AI/ML research and tools.
• Drive the adoption of new technologies and approaches that improve AI capabilities and efficiency.

Required Qualifications

• Bachelor's or Masters degree in Computer Science, Machine Learning, Data Science, or a related field.
• PhD preferred.
• 6+ years of experience in ML/AI engineering, including at least 2 years in a technical leadership role.
• Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of algorithms, statistics, optimization, and data structures.
• Experience deploying ML models in production (e.g., MLOps, CI/CD for ML).
• Proficient in Python and SQL; experience with cloud platforms (AWS, GCP, or Azure).
• Excellent problem-solving skills and the ability to make technical decisions under uncertainty.

Preferred Qualifications

• Experience with NLP, computer vision, or generative AI models (e.g., LLMs).
• Familiarity with ML model governance, compliance, and responsible AI practices.
• Experience working in Agile/Scrum environments.
• Contributions to open-source AI/ML projects or publications in peer-reviewed journals.

Must Have Skills

• AI
• AIML
• Data Scientist
• Python
• SQL
• ML Model
• Machine Learning
• AI models