Description

Key Responsibilities:

• Design, develop, and deploy machine learning and deep learning models for real-world business use cases
• Build and maintain scalable data pipelines and AI-driven microservices using Python
• Implement model training, evaluation, tuning, and performance optimization techniques
• Integrate AI/ML solutions into enterprise applications through APIs and cloud platforms
• Support MLOps practices including CI/CD pipelines, deployment automation, and production monitoring
• Ensure model reliability, scalability, and performance in production environments
• Collaborate with engineering, data, and business teams to translate requirements into AI solutions

Required Skills & Experience:

• 12+ years of overall experience in software engineering, AI, or machine learning
• Strong expertise in Python, including NumPy, Pandas, and FastAPI
• Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Proven experience deploying and maintaining ML models in production environments
• Strong understanding of cloud platforms such as AWS, Azure, or GCP
• Experience with Docker, Kubernetes, and containerized deployments
• Solid knowledge of RESTful APIs and microservices architecture
• Experience with MLOps, CI/CD pipelines, and model monitoring

Preferred Skills:

• Experience with NLP, Large Language Models (LLMs), or Generative AI
• Familiarity with enterprise-scale, distributed systems and data platforms

Key Skills

Education

Bachelor’s degree