We are looking for a talented and driven AI/ML Engineer to join our growing team. In this role, you will be responsible for designing, building, and deploying machine learning models that solve real-world problems and enhance our products. The ideal candidate has at least 2 years of hands-on experience creating and implementing AI or ML models in a production or research setting.

Responsibilities

• Develop, train, and deploy robust AI/ML models from concept to production.
• Collaborate with cross-functional teams to understand business needs and translate them into machine learning solutions.
• Conduct data preprocessing, feature selection, and model validation.
• Optimize model performance, interpretability, and scalability.
• Stay current with advancements in AI/ML research and apply them as appropriate.
• Document model development and maintain reproducibility across environments.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum of 2 years of hands-on experience creating and deploying AI or ML models.
• Strong proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms, statistical modeling, and data structures.
• Experience working with large datasets and data processing tools (e.g., Pandas, NumPy).
• Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).

Preferred Qualifications

• Experience with NLP, computer vision, or deep learning techniques.
• Exposure to MLOps tools and best practices (e.g., MLflow, Docker, Kubernetes).
• Background in software engineering or experience working in agile teams.
• Contributions to open-source AI/ML projects or academic publications

Please refer to job description.