- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- Python
- Agile
- AWS
- Azure
- compliance
- computer vision
- data science
- data structures
- GCP
- machine learning
- NLP
- statistics
- TensorFlow
- Pytorch
About the role
Finonyx Software Solutions Pvt Ltd
Website:
finonyx.com
Job details:
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 Master’s 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
Click on Apply to know more.
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