ML Engineer

Machine Learning (ML) Engineer
Job Type

Full-time, Contract & Onsite Job

Location: B-17 Islamabad

Timings: (12:00 pm-9:00 pm), Monday – Friday

Experience: Minimum 10 years of proven experience

About Us

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.

• Work closely with the 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.

• Collaborate with cross-functional teams to translate business requirements into

effective machine-learning solutions.

• Document processes and create user-friendly documentation for both technical

and non-technical stakeholders.

Skills

• Advanced proficiency in Python and strong knowledge of SQL.
• Hands-on experience deploying machine learning workloads in cloud

environments, preferably AWS SageMaker.

• Practical experience implementing ML Ops, including monitoring, alerting, CI/CD

pipelines, Docker builds, and automated testing.

• Proficiency with version control systems like GitHub, including familiarity with

workflows and collaborative coding practices.

• Experience working with AWS cloud-native services such as S3, API Gateway,

Lambda, ECS or equivalent services on MS Azure or Google Cloud.

• Strong communication skills in English, both written and verbal.

Benefits

• Competitive salary package.
• Extensive learning opportunities to enhance your skills and career development.
• Dynamic and collaborative work environment.
• Opportunity to work on innovative projects with a highly skilled team.
• Travel costs are reimbursed