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MLOps Engineer IRC229459
| Job | IRC229459 |
| Location | Ukraine - Kyiv, Lviv |
| Designation | Senior Software Engineer |
| Experience | 3-5 years |
| Function | Engineering |
| Skills | AI, Airflow, Machine Learning, Python |
| Work Model: | Remote, Hybrid |
Description
We live by our mission – to bridge the gaps between Human Intelligence and Artificial Intelligence while connecting the “AI promise” for the masses. Project provides you with real-time, natural language ontology-driven, user-friendly, multi-sourced business insights, and intelligence
on the go. With vital intelligence at their fingertips and fast access to everything they need to know when they need to know it, your frontline employees are supercharged for success.
Requirements
● 3+ years of hands-on experience as an MLOps or ML Engineer with ops orientation.
● Proven track record in building and managing ML pipelines, and CI/CD processes and tools.
● Extensive experience in ML workflows and Data Orchestration frameworks such as AirFlow, Prefect, MLFlow, Kubeflow, SageMaker, etc.
● Familiarity with container orchestration tools, including Kubernetes.
● Experience with AWS cloud-based services.
● Ability to write efficient, scalable Python code.
● Experience with source control (e.g., Bitbucket, Git).
● B.Sc. in Computer Science, Engineering, Math, or another quantitative field – an
advantage.
● Strong problem-solving skills with good analysis for root cause detection.
● Ability to work both collaboratively with a team and independently.
● Self-learner with a can-do attitude.
Job Responsibilities
● Build the infrastructure for the ML lifecycle, from development to deployment and monitoring.
● Work together with Data Scientists, Data Engineers, Software Engineers, and Product teams to train, deploy, and manage ML models throughout their lifecycle – from development to production.
● Design, implement, manage, monitor, and optimize a scalable and robust infrastructure for machine learning workflows.
● Implement metrics-based processes to improve the accuracy and reliability of our ML models, including early detection and mitigation of performance issues.
● Implement and manage CI/CD pipelines for machine learning workflows.
● Automate model training, retraining, testing, validating, and deployment processes.
● Proactively identify and resolve issues related to model performance and data quality.
● Communicate effectively with stakeholders to understand requirements and provide updates on model deployment and performance.
#LI-YS3 #LI-Remote
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.