Machine Learning Engineer

Grid Dynamics International, Inc.; Canada; Remote; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a highly skilled Machine Learning Engineer to join their dynamic team. This role offers the chance to design and develop cutting-edge Big Data analytical applications, with a balanced focus on machine learning and server-side tasks. You will collaborate with industry experts to create robust systems and enhance integration pipelines. The company prides itself on its innovative projects and a supportive work environment, providing an excellent opportunity for professional growth and development. If you are passionate about technology and eager to make a significant impact, this is the perfect opportunity for you.

Benefits

Opportunity to work on bleeding-edge projects

Work with a highly motivated team

Medical insurance

Sports activities

Corporate social events

Well-equipped office

Qualifications

• 5-7+ years of experience in ML/Data Science and server-side engineering.
• Expert in Python; proficiency in Scala or Java is a plus.

Responsibilities

• Design and develop Big Data analytical applications.
• Develop large-scale ML infrastructure and frameworks.

Skills

Machine Learning

Python

Big Data Technologies

Server-side Engineering

ETL Processes

Object-oriented Design

Collaboration Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Spark

Hadoop

Job description

We are seeking a highly skilled ML Engineer to join our team. In this role, you will design and develop Big Data analytical applications, with 50% dedicated to Machine Learning and 50% of your time focused on server-side tasks. You will work on creating robust and scalable systems, enhancing our project code base, and ensuring seamless integration pipelines.

Essential functions

1. Participate in the design and development of Big Data analytical applications.
2. Develop large-scale ML infrastructure, such as services, frameworks, or tooling.
3. Implement Machine Learning/Optimization-based applications (as needed).
4. Write complex ETL processes and frameworks for analytics and data management.
5. Work collaboratively with a team of industry experts to develop solutions using cutting-edge Big Data technologies for deployment at massive scale.
6. Design, support, and continuously enhance the project code base, including the continuous integration pipeline.
7. Collaborate with stakeholders to gather and clarify requirements.

Qualifications

1. 5-7+ ML/Data Science/Mathematical modeling-related experience.
2. 7-10+ years of server-side engineering experience.
3. ML/Data Science/Mathematical modeling-related experience is preferred.
4. Expert in Python; proficiency in other languages such as Scala or Java is a plus.
5. Proficiency in Spark; experience with Hadoop or other Big Data processing technologies.
6. Strong object-oriented design skills and a solid understanding of data structures and algorithms.
7. Experience with developing large-scale ML infrastructure, such as services, frameworks, or tooling.
8. Excellent communication and collaboration skills.
9. Ability to work autonomously and influence project outcomes to ensure successful delivery.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Benefits package - medical insurance, sports
• Corporate social events
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.