AWS SageMaker SME

We are

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 14,500+, and has 58 offices in 21 countries within key global markets.

AWS SageMaker SME

The Role

Responsibilities:

• Pull and process data from Amazon S3 for analysis and modeling.
• Utilize Amazon SageMaker to build, train, and deploy machine learning models.
• Develop and maintain interactive web applications that allow you to create and share documents containing live code, equations, visualizations, and narrative text. for data exploration, preprocessing, and modeling.
• Collaborate with data engineers and other stakeholders to understand data requirements and ensure data quality.
• Implement best practices for version control, reproducibility, and documentation of modeling processes.
• Monitor and optimize model performance, ensuring they meet business objectives.
• Stay updated on the latest trends and technologies in machine learning and cloud computing.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience with Amazon SageMaker and AWS services, particularly S3.
• Strong proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
• Experience with Jupyter Notebooks for data analysis and modeling.
• Familiarity with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and the ability to work independently and in a team environment.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Matplotlib, Seaborn).
• Knowledge of containerization technologies (e.g., Docker) is a plus.
• Familiarity with CI/CD practices for machine learning.

S​YNECHRON’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.

Candidate Application Notice