MLOPS Engineer

Hi All

We are urgently seeking Sr MLops Engineers. This is a FULLY REMOTE position and open to CTC. If you are interested or know of anyone that is interested please send resume to or call me at.

Required Skills:

Natural Language Processing (NLP) 3 YOE
Tensorflow OR PyTorch 1 YOE
Pandas OR Scipy OR Numpy 1 YOE

Additional details:
Location : Remote and EST time zone

A wellestablished company that is determined to become the most consumercentric health organization by leveraging cuttingedge technologies and innovations is looking for a Senior MLOps Engineer. The engineer will play an instrumental role in deploying robust scalable machine learning solutions. The candidate will ensure these are tailored to meet the expansive needs of varied healthcare services. The company is driving a transformation in health care by expanding their footprint and providing more accessible supportive and personalized care. 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.

Job Responsibilities:

Rapidly develop and deploy productionready 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 specific business needs
Build highperformance multitenant deployment architectures and sophisticated model monitoring systems
Directly engage with internal stakeholders to incorporate feedback and refine the MLdriven 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
Job Requirements:
Bachelors/Masters degree in Engineering Computer Science (or equivalent experience)
At least 5 years of relevant experience as an MLOps Engineer
At least 3 years of experience with transformerbased models and NLP preferably in a healthcare context
Strong track record of finetuning running largescale training jobs and managing model servers like vLLM TGI or TorchServe
Proficiency in data science tools such as Pandas Notebooks Numpy and Scipy
Demonstrable experience with both relational and nonrelational databases
Extensive experience with TensorFlow or PyTorch and familiarity with HuggingFace
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
Fluent in English communication both written and spoken

Janet Miranda

Micasa Global