AI/ML Engineer

Job Description

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions.
• Develop, train, and deploy machine learning models for real-world applications.
• Work with large datasets, ensuring data quality and implementing efficient data preprocessing pipelines.
• Utilize ML/DL frameworks to build scalable and high-performance models for both training and inferencing.
• Implement and optimize machine learning algorithms for deployment in production environments.
• Stay abreast of the latest developments in machine learning and artificial intelligence to ensure the adoption of best practices and emerging technologies.
• Collaborate with software developers to integrate machine learning models into existing systems.
• Maintain documentation for all aspects of the machine learning pipeline, including data preprocessing, model training, and deployment.

Skills:

• Proficiency in Python for data manipulation, analysis, and model development.
• Experience with containerization technologies such as Kubernetes and Docker.
• Strong understanding of machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Hands-on experience in both model training and inferencing.
• Familiarity with Big Data technologies and frameworks.
• Basic knowledge of MERN stack (MongoDB, Express.js, React, Node.js) is a plus.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and collaboration skills.

Experience:

• Minimum of 1 years to 3years of experience in machine learning engineering.
• Proven track record of successfully developing and deploying machine learning models in a production environment.
• Experience working with cross-functional teams in an agile development environment.