What are the responsibilities and job description for the Senior Machine Learning Engineer position at Indotronix International Corporation?
Position: Machine Learning Engineer Sr
Location: Pittsburgh, PA /Cleveland, OH/Strongsville, OH/Birmingham, AL/Farmers Branch, TX / Phoenix, AZ – Hybrid (3 days a week in office)
Duration: 03 Months Contract To Hire
Acceptable time zone(s): Must work in EST
Days of the week: M-F
Working Hours (Flexible): 9:00 AM-5:00 PM
Only on W2
Job Description:
Reason for open position:
This is a new position for capital work. Contract to hire.
P-391704 BSAM Data, Reporting and Model Enhancements.
Only permanent residents (Green Card) or US citizens.
Function of the Group: mitigating risk
Initiatives/Projects: P-391704 BSAM Data, Reporting and Model Enhancements.
Industry background: technical
Team Dynamics: Testing QE, Bas, DevOps, Data Science Engineers
Roles and Responsibilities:
- Research, develop, and implement machine learning algorithms for use in software and hardware applications.
- Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems.
- Analyze and review enhancement requests and specifications.
- Implement changes to algorithms to improve performance.
- Troubleshoot problems to improve user experience.
- Provide quality assurance reviews.
- Perform post-implementation validation of machine learning models and resolve any bugs found during testing.
Must Have Technical Skills:
- AWS SageMaker implementation experience
- MLOps pipeline development
- CI/CD for ML workflows
- Python programming
- ML framework experience (TensorFlow/PyTorch)
- Hybrid cloud architecture
- Git version control
- MLflow or similar experiment tracking
Flex Skills/Nice to Have:
- MLflow-based model experiment tracking and model serving
- Kubeflow implementation
- Apache Airflow orchestration
- Terraform/CloudFormation
- DVC for data versioning
- Feature store implementation or integration with MLOps systems
Soft Skills:
- Curiosity
- Critical thinking
- Problem solving
- Adaptability
- Collaboration
- Communication
Education/Certifications:
- Bachelor’s in computer science, engineering, or a related field
- AWS Certified Machine Learning – Specialty
- AWS Solutions Architect certification
- AWS Certified DevOps Engineer – Professional
- Additional Data Science and LLM-focused certification will be a plus
Salary : $55 - $60
