Fulltime: Senior Machine Learning Operations Engineer--Remote
Job Title : Senior Machine Learning Operations Engineer
Location : Remote and Timing EST.
FULLTIME
Job Summary :
As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions.
You will ensure these are tailored to meet the expansive needs of varied healthcare services. This role demands a high level of proficiency in machine learning technologies and programming, coupled with rigorous vetting processes to maintain the highest standards of data integrity and security.
Key Responsibilities :
- Rapidly develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare.
- Write efficient, maintainable, and scalable Python code tailored to our specific business needs.
- Build high-performance, multi-tenant deployment architectures and sophisticated model monitoring systems.
- Directly engage with internal stakeholders to incorporate feedback and refine our ML-driven products through quick iteration cycles.
- Uphold stringent security protocols and processes in the deployment and maintenance of machine learning models.
- Drive the continuous advancement of MLOps practices within the healthcare industry by developing innovative solutions and advocating for best practices.
Requirements :
- Minimum 3 years of experience with transformer-based models and NLP, preferably in a healthcare context.
- Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.
- Proficiency in data science tools such as Pandas, Notebooks, Numpy, Scipy.
- Experience with both relational and non-relational databases.
- Extensive experience with TensorFlow or PyTorch, and familiarity with Hugging Face.
- Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred.
- Comfortable with a Linux environment and stringent data security practices.
- Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity.
Thanks, and Regards
Amiksha Sharma
Direct No.- : (609) 360-2660 (E-mail is the best way to reach me)
Ampstek Global IT Partner
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