Job Description
- Design, build, and implement AI/ML models to solve real business problems.
- Integrate machine learning models into production systems and products.
- Convert ML models into useful product features like recommendations, personalization, or intelligent automation.
- Work closely with product managers, designers, and engineers to align AI features with product goals.
- Prepare and process data by collaborating with data engineers on data collection, cleaning, and feature engineering.
- Train, test, evaluate, and fine-tune models to improve accuracy, performance, and scalability.
- Deploy models to production and monitor performance, retraining models when needed.
- Run A/B tests to measure the impact of AI-driven features.
Preferred Candidate Profile
Education
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
- Master’s degree in AI / ML / Data Science is a plus.
- Relevant certifications (AWS, GCP, ML, Deep Learning) are an added advantage.
Experience
- 4–8 years of experience in AI/ML engineering, data science, or ML development.
- Experience deploying AI/ML models in real-world, product-based environments.
- Strong background in supervised and unsupervised learning.
Technical Skills
- Programming: Python (primary), Java / C++ / R (optional).
- ML Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost.
- Cloud Platforms: AWS, Google Cloud, or Microsoft Azure.
- Experience with Docker, Kubernetes, CI/CD pipelines is a plus.
Soft Skills
- Strong problem-solving and analytical thinking.
- Ability to explain complex AI concepts to non-technical stakeholders.
- Team player with excellent communication and collaboration skills.
Preferred Knowledge
- Experience in NLP, Computer Vision, or Reinforcement Learning.
- Product-focused mindset with experience building AI-driven product features.
- Understanding of Agile / Scrum product development.
Role Details
- Role: Technical Product Manager (AI/ML – Product Engineer focus)
- Industry: IT Services & Consulting
- Department: Product Management
- Employment Type: Full Time, Permanent
- Role Category: Product Management – Technology
Key Skills
Machine Learning, Python, AI Algorithms, TensorFlow, PyTorch, Scikit-Learn, XGBoost, AWS, Azure, GCP, Docker, Kubernetes, Data Pipelines, SQL, Pandas, NumPy, Agile, CI/CD