Remote (US Shift) | Full Time | 4+ years of experience (minimum)
Requirements
- Strong programming in Python with hands-on Django/Flask experience.
- Expertise in Machine Learning, Deep Learning, NLP, and Computer Vision (TensorFlow/PyTorch, scikit-learn).
- Familiarity with Generative AI, LangChain, RAG, LLMs preferred.
- Knowledge of SQL/NoSQL databases, API development, and data visualization (Power BI/Tableau).
- Experience with MLOps/DevOps tools – Docker, Kubernetes, MLflow, Git, Azure.
- Strong analytical, problem-solving, and communication skills.
- Degree in Data Science, Computer Science, or related field (Master’s preferred).
Responsibilities
- Develop, deploy, and maintain AI/ML models using Python and Django.
- Build scalable data pipelines and APIs integrating ML models into production.
- Work across domains such as NLP, Computer Vision, and Generative AI for real-world solutions.
- Perform data preprocessing, model training, and performance tuning.
- Collaborate with cross-functional teams for AI product development and insights.
- Automate workflows and ensure robust, reproducible, and efficient ML systems.
- Implement MLOps practices (Docker, MLflow, Kubernetes, Azure).
- Document model architectures, maintain version control, and support deployment.