Sr. MLOPS Architect - AWS SageMaker_PA & TX

We are looking to hire a Sr. MLOPS Architect (AWS Sagemaker) – Pittsburgh, PA / Dallas, TX

Job Summary:

• Senior MLOps Architect who knows Machine Learning and deployment and has integrated ML with other applications. With all these, candidates must have 3-4 years of experience in AWS Sagemaker deployment.
• In this role you will help to develop, build, design, continuously improve, and support the MLOps Platform. You will participate in all stages of development, use various software and tools, and enabling self-service tools for data science teams.
• The role also involves designing, developing, integrating, and deploying tools for Data Science and Machine Learning (ML) Research.
• The successful applicant will design and operate a framework for Machine Learning Operations (MLOps), advise on software engineering for ML, and ensure consistency with cloud architectural principles.

The Role

Responsibilities:

• Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS)
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
• Design, develop, integrate, and deploy tools for Data Science and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others.
• Data science models testing, validation and tests automation
• Communicate with a team of data scientists, data engineers and architect, document the processes
• Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings.

You are:

• Having 12+ years in Software Engineering
• Hands-on experience working with at least one cloud (AWS)
• Ability to build MLOps pipelines on AWS SageMaker.
• Hands on DevOps experience – CI/CD in Jenkins , Bitbucket, Kubernetes ,OpenShift.
• Good to have in-depth knowledge in machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch, etc
• Ability to understand tools used by data scientist and experience with software development and test automation
• Experience with Agile development and delivery – Scrum, Lean, XP, Kanban methodologies.
• Proficiency in modern programming languages such as Python.
• AWS Machine Learning certification is a huge plus
• Bachelor’s degree in Computer Science or Software Engineering

We can offer you:

• A highly competitive compensation and benefits package
• A multinational organization with 48 offices in 19 countries and the possibility to work abroad
• Laptop and a mobile phone
• 10 days of paid annual leave (plus sick leave and national holidays)
• Maternity & Paternity leave plans
• A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
• Retirement savings plans
• A higher education certification policy
• Commuter benefits (varies by region)
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
• Cutting edge projects at the world s leading tier-one banks, financial institutions and insurance firms
• A flat and approachable organization
• A truly diverse, fun-loving and global work culture

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.