ML Engineer I

Model Development & Implementation:

Design, develop, and implement machine learning models and AI algorithms, from initial prototyping to production deployment. Data Engineering:

Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for AI model training.

Solution Integration:

Integrate AI models and solutions into existing enterprise systems and applications, ensuring seamless functionality and performance.

Model Optimization & Performance:

Optimize AI models for performance, scalability, and efficiency, and monitor their effectiveness in production environments.

Collaboration & Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver impactful AI solutions.

Code Quality & Best Practices:

Write clean, maintainable, and well-documented code, adhering to best practices for software development and MLOps.

Research & Evaluation:

Stay updated with the latest advancements in AI/ML research and technologies, evaluating their potential application to business challenges.

Troubleshooting & Support:

Provide technical support and troubleshooting for deployed AI systems, identifying and resolving issues promptly.

Key Requirements:

3-7 years of experience in developing and deploying AI/ML solutions.

Strong programming skills in Python (or similar languages) with extensive experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Solid understanding of machine learning algorithms, deep learning concepts, and statistical modelling.

Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.

Experience with version control systems (e.g., Git) and collaborative development workflows. Excellent problem-solving skills and attention to detail.

Strong communication and teamwork abilities.

Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.