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Machine Learning Engineer

72% Flex
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
India

Offer summary

Qualifications:

4+ years with transformer-based models & NLP in healthcare, Proficiency with Pandas, Notebooks, Numpy, Scipy.

Key responsabilities:

  • Develop deploy & monitor ML models for healthcare apps
  • Write scalable Python code tailored to business needs
  • Build robust deployment architectures & model monitoring systems
  • Engage stakeholders for feedback & refine ML products
  • Uphold security protocols in ML models' deployment
Yo Hr Consultancy logo
Yo Hr Consultancy SME https://www.yohrconsultancy.com/
11 - 50 Employees
About Yo Hr Consultancy
YO HR (Your Own) human resources established with an ambition to providing Placement to potential Job seekers; headquartered at Indore. Additionally, our competency allows us to negotiate great value, across the country. We recruit across various industry segments. Yo Hr Consultancy is one of the fastest-growing recruitment firms in the country. Yo Hr Consultancy offers a range of recruiting services based on what is best for our clients.
See more Yo Hr Consultancy offers

Job description

Logo Jobgether

Your missions

Senior Machine Learning Operations Engineer
Experience: 6 - 18 Years
Location: Permanent Remote

Must-Have:
Minimum 4 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.
Strong proficiency in spoken and written English language.
Budget: 25-40 LPA
Type of employment: FTE

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 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: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.
Are you interested?

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