Machine Learning Engineer

Description:

At IT Solutions Hub, we are committed to delivering innovative and cutting-edge technology solutions to our clients. We focus on leveraging AI and Machine Learning to build intelligent systems that drive efficiency and create data-driven insights. Join our dynamic team of professionals where your contributions directly impact businesses on their digital transformation journey.

Responsibilities:

Deploy machine learning workloads, preferably in AWS using SageMaker.

Implement ML Ops practices including monitoring, alerting, CI/CD pipelines, Docker containerization, and testing.

Collaborate with data engineering and software teams to ensure seamless deployment of ML models into production environments.

Ensure code quality and maintain version control using GitHub, following best practices and collaborative workflows.

Leverage cloud-native services on AWS (S3, API Gateway, Lambda, ECS) or comparable platforms like MS Azure and Google Cloud.

Translate business requirements into effective machine-learning solutions with cross-functional teams.

Document processes and create user-friendly documentation for both technical and non-technical stakeholders.

Skills Required:

Advanced proficiency in Python and strong knowledge of SQL.

Hands-on experience deploying ML workloads in cloud environments, preferably AWS SageMaker.

Practical experience with ML Ops: monitoring, alerting, CI/CD pipelines, Docker builds, and automated testing.

Proficiency with GitHub version control and collaborative coding practices.

Experience working with AWS cloud-native services (S3, API Gateway, Lambda, ECS) or similar services on Azure/Google Cloud.

Strong English communication skills (written and verbal).

Experience:

✔ Minimum 10 years of proven experience as a Machine Learning Engineer.