Description
Role Overview
We are looking for an experienced AI/ML Developer to design, build, and deploy intelligent systems and data-driven models.
The role requires strong foundations in machine learning, deep learning, and real-world model deployment.
Key Responsibilities
- Design, develop, and deploy machine learning and AI models for business and product use cases
- Work on data preprocessing, feature engineering, model training, validation, and optimization
- Build and maintain scalable ML pipelines for production environments
- Develop predictive models using supervised and unsupervised learning techniques
- Implement deep learning models using frameworks such as TensorFlow or PyTorch
- Collaborate with data engineers, product teams, and backend developers
- Monitor model performance, accuracy, and drift in production
- Document experiments, models, and workflows
Technical Skills Required
- Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn)
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch)
- Solid understanding of machine learning algorithms and statistics
- Experience with NLP, computer vision, or recommendation systems is a plus
- Familiarity with data pipelines, APIs, and model deployment
- Experience with SQL/NoSQL databases and cloud platforms
Good To Have
- Experience with MLOps tools and workflows
- Knowledge of Docker, Kubernetes, and CI/CD for ML deployments
- Exposure to big data technologies
(ref:hirist.tech)
