Machine Learning Solutions Architect
3 hours ago
We are seeking a skilled Senior Engineer – Machine Learning to join our team at Collabera Digital. As a key player in our MLOps capabilities, you will design and implement solutions to scale machine learning models efficiently within large data-intensive applications.
About the RoleThis Senior Engineer position is focused on enhancing MLOps capabilities for high-profile clients in the pharma industry, ensuring seamless production and operationalization of complex models. You will be responsible for optimizing processes for dynamic targeting and scalability, as well as deploying large-scale machine learning models in production.
Key Responsibilities- Designing and implementing MLOps solutions for multiple use cases (preferably in the pharma industry) using cloud technologies, orchestration tools, and monitoring frameworks.
- Operationalizing large-scale machine learning models in production, with a focus on process optimization and scalability.
- Developing and maintaining technical expertise in relevant tools and technologies, including Python, AWS SageMaker, Dataiku DSS, Snowflake, Kubernetes, MySQL, and Git.
To be successful in this role, you will need:
- A Bachelor's degree in Information Technology, Computer Science, or a related field.
- Certifications and specialized training in Data Science, Machine Learning, MLOps, NLP, and other relevant fields.
- Proven experience in designing and deploying MLOps solutions, with a strong background in end-to-end machine learning model lifecycle management.
- Experience working with cross-functional teams across geographies, with strong interpersonal and communication skills.
As a Senior Engineer at Collabera Digital, you can expect a competitive salary range of $120,000 - $180,000 per year, depending on your location and level of experience. This is a full-time position with opportunities for professional growth and development.
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