Machine Learning Engineer

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. 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.

Description:

We are looking for a talented Machine Learning Engineer with strong expertise in deploying and managing feature stores, particularly Feast, on AWS services. The ideal candidate will have a solid background in machine learning, data engineering, and cloud computing. You will be instrumental in building and optimizing our ML infrastructure to facilitate robust data-driven solutions.

Key Responsibilities:

• Design, implement, and maintain scalable ML pipelines and infrastructure, leveraging AWS services to support feature engineering and management using Feast.
• Deploy and manage the Feast feature store on AWS, ensuring efficient feature retrieval, data consistency, and integration with ML models.
• Collaborate with data scientists to identify, create, and deploy features that enhance model performance and reliability.
• Monitor, troubleshoot, and optimize ML models in production, ensuring high availability and performance.
• Work closely with cross-functional teams, including data engineers and software developers, to integrate ML solutions seamlessly into existing systems.
• Conduct experiments and analyze performance metrics to refine ML models and improve feature engineering processes.
• Stay updated with the latest trends and best practices in ML, feature stores, and AWS technologies to continuously enhance our ML infrastructure.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Proven experience as a Machine Learning Engineer or in a similar role, with a focus on deploying ML solutions on AWS.
• Strong understanding of feature stores, with hands-on experience deploying and managing Feast.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep familiarity with AWS services relevant to ML and data processing, such as Amazon S3, AWS Lambda, SageMaker, and Redshift.
• Experience with data engineering tools and concepts (e.g., SQL, Apache Airflow, Spark).
• Strong analytical skills and proficiency in working with large datasets.
• Excellent problem-solving abilities and the capacity to work both independently and as part of a team.