AI/ML Engineer

AI/ML Engineer

Key Responsibilities:

• Develop, train, and deploy machine learning and deep learning models.
• Work on NLP, computer vision, and predictive analytics projects.
• Optimize algorithms for accuracy, scalability, and performance.
• Collaborate with data scientists and software developers to integrate models into applications.
• Conduct model testing, validation, and monitoring in production.
• Research and implement state-of-the-art AI techniques and tools.
• Build and manage pipelines for data preprocessing and model training.
• Ensure ethical AI practices and compliance with security policies.

Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field.
• 3–4 years of experience in AI/ML engineering.
• Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
• Experience with cloud AI platforms (AWS Sagemaker, Google AI, Azure ML).
• Strong understanding of data structures, algorithms, and statistics.
• Hands-on experience with APIs, REST services, and containerization (Docker, Kubernetes).

Career Growth & Benefits:

• AI/ML Engineers are among the most in-demand professionals today. With growing adoption of AI across industries, this role offers opportunities to move into AI Architect, Data Scientist, or Chief AI Officer

  roles.