About the Company : At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website: www.synechron.com

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT:

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Role: We are looking for a skilled MLOps Engineer to design, implement, and monitor scalable machine learning infrastructure. The ideal candidate will collaborate with data scientists, optimize deployment pipelines, and ensure secure, compliant, and efficient ML operations.

Key Responsibilities:

• Design and implement scalable infrastructure for ML model deployment.
• Develop automated workflows for deployment and monitoring.
• Collaborate with data scientists to understand model deployment needs.
• Monitor models in production for performance issues and automate alerts.
• Optimize inference pipelines for performance and cost.
• Ensure security and compliance of ML deployments.
• Implement CI/CD pipelines for ML models.
• Maintain documentation of ML Ops processes and infrastructure.

Qualifications:

• Bachelor’s in Computer Science, Engineering, or related field.
• 3+ years in software or operations engineering.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of DevOps, CI/CD, containerization (Docker, Kubernetes).
• Excellent problem-solving, communication, and teamwork skills.

Skills: Python, TensorFlow, PyTorch, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, Linux, Jenkins, MLflow.

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