- Design and develop scalable, secure, and efficient AI/ML solutions using Java, Python, and other relevant technologies.
- Collaborate with cross-functional teams to identify business requirements and translate them into technical specifications.
- Develop data pipelines for large-scale datasets using MLOps tools such as TensorFlow Extended (TFX) or similar technologies.
- Provide technical guidance on best practices for machine learning model deployment, monitoring, and maintenance.
- Ensure seamless integration of NLP/Computer Vision models with existing systems through API integrations or microservices architecture.
Desired Candidate Profile
- 10-18 years of experience in designing and developing AI/ML solutions with expertise in Java, Python, Spring Boot, Cloud Platforms (AWS/Azure), Vector Databases (e.g., Faiss), Generative AI & Large Language Models (LLM).
- Bachelor's degree in Computer Science and Engineering (CSE) from a reputed institution.
- Robust understanding of ML Ops concepts including Data Pipeline Management, Model Deployment & Monitoring.