AI/ML Engineer

Key Responsibilities:

• Design, build, and deploy machine learning models and AI-driven solutions.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Work with large datasets and optimize models for accuracy and performance.
• Collaborate with software developers and data engineers to integrate models into applications.
• Research and experiment with new algorithms, tools, and techniques in AI/ML.
• Monitor and maintain deployed models for consistent performance.
• Document processes, model performance, and technical specifications.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
• 2–5 years of experience as an AI/ML Engineer or similar role.
• Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Good understanding of data structures, algorithms, and statistics.
• Experience with NLP, computer vision, or predictive analytics (depending on project scope).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong problem-solving and analytical skills.

Preferred Skills:

• Experience with deep learning architectures (CNNs, RNNs, Transformers).
• Knowledge of Docker, Kubernetes, or CI/CD pipelines for model deployment.
• Exposure to LLMs (Large Language Models) and Generative AI tools.

Job Type: Full-time

Work Location: In person