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Senior ML Engineer IRC234917
| Job | IRC234917 |
| Location | Ukraine |
| Designation | Senior Software Engineer |
| Experience | 5-10 years |
| Function | Engineering |
| Skills | Amazon Machine Learning, Amazon SageMaker, Amazon Web Service (AWS), Python |
| Work Model: | Remote |
Description
The client is an American multinational association that is involved in the design, development, manufacturing, worldwide marketing, and sales of apparel, footwear, accessories, equipment, and services. The company is a proven leader in its industry and is constantly working to create innovative products and services.
There is a team of Data and Machine Learning engineers who develop the product using different ML models and data from different sources for tranings.
Requirements
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Strong proficiency in Python programming language.
- Solid understanding of machine learning concepts and algorithms.
- Experience with scikit-learn and LightGBM for model development.
- Hands-on experience with AWS services such as SageMaker, processing jobs, training jobs, and ECR.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Ability to work effectively in a fast-paced environment and manage multiple tasks simultaneously.
- Experience deploying machine learning models in production environments.
- Familiarity with Docker and containerization concepts.
- Experience working in Agile development methodologies.
Job Responsibilities
As a Python/Machine Learning Developer, you will play a key role in developing and implementing cutting-edge machine learning models and solutions. You will leverage your strong Python skills and knowledge of machine learning best practices to build, train, and deploy models. Additionally, you will work with AWS services such as SageMaker, processing jobs, training jobs, and ECR to deploy and manage machine learning workflows.
- Develop and implement machine learning models using Python and libraries such (scikit-learn and LightGBM) and optimizers (Gurobi)
- Collaborate with cross-functional teams to gather requirements and understand business needs.
- Design and execute experiments to evaluate model performance and make improvements.
- Deploy machine learning models using AWS SageMaker and manage processing jobs, training jobs, and container registries (ECR).
- Optimize model performance and scalability for production environments.
- Stay up-to-date with the latest advancements in machine learning technologies and best practices.
We Offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.