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Senior MLOps Engineer IRC221999
| Job | IRC221999 |
| Location | Poland | Romania | Croatia | Slovakia |
| Designation | Lead Software Engineer |
| Experience | 5-10 years |
| Function | Engineering |
| Skills | AI |
Description
As a Senior MLOps Engineer at GlobalLogic, you will play a key role in operationalizing our machine learning workflows and ensuring the smooth deployment and scalability of our ML solutions. Your expertise will be crucial in building and maintaining robust, efficient, and continuously integrated machine learning systems. Collaborating with ML architects, data scientists, and software engineers, you will ensure our ML models are seamlessly integrated into production environments and optimized for performance and scalability.
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Requirements
Requried:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
- 7+ years of experience in software engineering with a focus on machine learning and data pipeline operations.
- Strong expertise in MLOps tools and frameworks (e.g., MLflow, Kubeflow, TFX).
- Proficient in containerization and orchestration technologies such as Docker and Kubernetes.
- Experienced with at least 2 cloud services (AWS, Azure, GCP) and their machine learning ecosystems.
- Strong programming skills in Python, with familiarity in other scripting and programming languages.
- In-depth understanding of CI/CD systems and practices, and version control systems like Git.
- Practical knowledge of data management, both structured and unstructured, within distributed computing environments.
- Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting
- tailored solutions, and demonstrating the potential impact of our ML technologies.
- Excellent problem-solving, organizational, and analytical skills.
Preferred:
- Certifications related to AWS, Azure, or Google Cloud, specifically in machine learning or architecture tracks.
- Experience with real-time data processing and streaming technologies (e.g., Kafka, Spark Streaming).
- Contributions to open-source projects in the MLOps community.
- Advanced degree (Ph.D. preferred) in a relevant field with publications or presentations in recognized forums.
Job Responsibilities
- Design and implement scalable machine learning models and algorithms that can process large volumes of data efficiently.
- Lead the development of our ML infrastructure, ensuring it supports both current needs and future growth.
- Support presale PoCs and and project/account staring activities
- Architect and optimize data pipelines for training and deploying machine learning models.
- Collaborate with data engineers and software developers to integrate ML models into production systems.
- Stay abreast of new developments in machine learning, AI, and data science, and assess their applicability to our business needs.
- Provide technical leadership and mentorship to ML engineers and data scientists.
- Work with product teams to translate business requirements into technical specifications and ML solutions.
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.