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Technical Lead - AI/ML

Finonyx Software Solutions
6 - 10 Years
Bangalore

Posted on: 10/07/2026

Job Description

Key Responsibilities :

Tech Lead for AI/ML Team :

Technical Leadership :

- 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

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