Description
You will design, build, and deploy machine learning models and AI algorithms to solve real-world problems.
Responsibilities
- Design and deploy machine learning models and AI algorithms into scalable production systems.
- Collaborate with data scientists and software engineers to define AI use cases and deliver data-driven solutions.
- Optimize models for performance, accuracy, and efficiency.
- Monitor, test, and maintain AI systems to ensure reliability.
- Contribute to code reviews, documentation, and technical knowledge sharing.
Required Skills
- 8+ years of experience in AI or machine learning roles.
- Proficiency in Python.
- Hands-on experience with LLM, BERT, RAG, and Vector DB.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Working knowledge of MongoDB.
- Experience with cloud platforms including AWS, GCP, or Azure.
- Proficiency with containerization tools like Docker.
- Familiarity with MLOps practices for model deployment and monitoring.
- Solid understanding of data structures, algorithms, and software engineering principles.
Education
- Bachelor's degree in Computer Science, AI, Machine Learning, or a related field.