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MLOps Engineer,

Remote: 
Full Remote
Contract: 
Experience: 
Junior (1-2 years)
Work from: 

Offer summary

Qualifications:

3+ years experience in transformer-based models and NLP, ideally in healthcare, Proficiency in Python, TensorFlow/PyTorch, Pandas, and data science tools.

Key responsabilities:

  • Develop and deploy ML models for healthcare with focus on scalability and monitoring
  • Write scalable Python code tailored to business needs
  • Build deployment architectures and monitoring systems, engage with stakeholders
  • Uphold security protocols, drive MLOps advancement, advocate best practices
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Yo Hr Consultancy SME https://www.yohrconsultancy.com/
11 - 50 Employees
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Job description

Senior Machine Learning Operations Engineer
Location: Permanent Remote


Job Description :
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 a client in 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 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.

Required profile

Experience

Level of experience: Junior (1-2 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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