Senior Machine Learning Engineer
1 week ago
Collabera Digital is seeking a highly skilled Senior Machine Learning Engineer to join our team. The ideal candidate will have a strong background in end-to-end machine learning model lifecycle management, including model development, deployment, and operations.
The successful candidate will be responsible for designing and implementing efficient MLOps solutions to scale machine learning models, particularly within large, data-intensive applications. This role will play a key part in enhancing MLOps capabilities for high-profile clients in the pharma industry, ensuring seamless production and operationalization of complex models.
Job Requirements- 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 are highly preferred.
Key skills and qualifications include:
- Experience with modern ML algorithms, NLP, and Deep Learning.
- Proven experience in designing and deploying MLOps solutions for multiple use cases, preferably in the pharma industry.
- Technical expertise in Python, AWS SageMaker, Dataiku DSS, Snowflake, Kubernetes, MySQL, Git, and other relevant tools for data engineering and model deployment.
- Strong analytical skills and ability to optimize and scale machine learning pipelines and code.
- Experience working with cross-functional teams across geographies, strong interpersonal and communication skills.
We offer a competitive salary range of $120,000-$160,000 per annum, commensurate with experience and location.
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