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Sr. ML Ops Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
Canada, California (USA), United States

Offer summary

Qualifications:

Deep knowledge of traditional and deep learning ML concepts, Proficiency in JVM languages, Experience with cloud-based ML platforms like AWS, Familiar with CI/CD tools and methodologies, Experience in automating model training and healthcare domain expertise.

Key responsabilities:

  • Develop and maintain scalable machine learning pipelines
  • Create automated workflows for data processing and model deployment
  • Continuously monitor and optimize ML models performance
  • Collaborate across diverse teams to integrate ML solutions
  • Ensure compliance and security of ML operations
Deep 6 AI logo
Deep 6 AI SME https://deep6.ai/
11 - 50 Employees
See more Deep 6 AI offers

Job description

Deep 6 AI is a fast-growing tech startup headquartered in Los Angeles, California looking for talented, dynamic team members who want to help shape our groundbreaking artificial intelligence platform. 
   
We are transforming and accelerating clinical trials, to help get life-saving treatments to patients faster and accelerate innovation in healthcare. To that end, we build a cutting-edge software suite that connects all clinical research stakeholders, from research teams to treating physicians, patients, and study sponsors on a real-time, real-world data SaaS platform, powered by AI.

What You'll Do
  • Develop and Maintain ML Pipelines: Design, implement, and manage scalable machine learning pipelines to support various ML models from development to production. 
  • Automate Workflows: Create automated workflows for data preprocessing, model training, evaluation, and deployment. 
  • Monitor and Optimize: Continuously monitor the performance of ML models in production, ensuring they meet performance and accuracy standards. Optimize models and pipelines for efficiency. 
  • Collaborate with Teams: Work closely with data scientists, software engineers, and other stakeholders to integrate ML solutions into existing systems and applications. 
  • Ensure Compliance and Security: Implement best practices for data security and compliance, ensuring that all ML operations adhere to relevant regulations and standards. 
  • Documentation and Reporting: Maintain comprehensive documentation of ML processes, workflows, and systems. Provide regular reports on model performance and system health. 


  • About You
  • Deep knowledge of traditional ML concepts (e.g., LSTMs, RNNs, GMMs, SVMs, trees, boosting) as well as more recent deep learning fundamentals and NLP-related experience with word embeddings 
  • Proficiency in JVM languages 
  • Familiarity with CI/CD tools and methodologies 
  • Proficiency with containerization (e.g., Docker) and orchestration tools 
  • Experience with cloud-based ML platforms (e.g., Amazon Sagemaker) 
  • Experience with common JVM search, linguistics, and other language frameworks (e.g., Lucene, StanfordNLP, OpenNLP, SparkNLP, ANTLR) 
  • Experience using a Deep Learning Framework (e.g., Tensorflow, PyTorch, Keras) 
  • Mature theoretical grasp of different neural networks on large-scale datasets  
  • Deep and Fundamental understanding in signal processing concepts 
  • A positive, collaborative, can-do attitude and a strong sense of ownership. 
  • Familiarity with clinical data, concepts and language 
  • Experience in model training automation with a combination of Supervised, Unsupervised, and Reinforcement methods

  • Bonus Points
  • Prior remote working experience.   
  • Worked in the healthcare domain.  Experience with healthcare clinical data modeling a strong bonus (e.g., OMOP, FHIR) 
  • Experience with Transfer Learning, Transformers (e.g., BERT & ELMO), and Multilingual NLP 
  • Familiarity with performance and load testing automation tools (e.g., Gatling, K6, Jmeter) and methodologies 
  • Our Culture   
    We are a very collaborative group that is inclusive, fun, and hard-working. We appreciate the value in diverse backgrounds and experiences so that we can create the best product through different perspectives and ideas. Deep 6 AI welcomes remote work and has fully-remote teams throughout the country; we strive to create an environment where you can do your best work in the environment and location that is best suited for each individual. As a member of our team, you can expect to work with intelligent, curious, and motivated peers who value and respect your perspectives. Deep 6 AI is headquartered in Los Angeles and has employees nationwide.
      
    Benefits   
    In addition to competitive salary and a unique opportunity to thrive at a growing company, Deep 6 AI offers various formal benefits as well as a generous PTO plan which includes sick and vacation days, and as well as employer-paid medical, dental, vision, life insurance and long-term disability coverage. A 401k plan is available, too.   
      
     
    The above statements describe the general nature and level of work being performed in this job function. They're not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Deep 6.
     
    At Deep 6, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Deep 6 is an equal opportunity employer.
     
     

    Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Collaboration
    • Analytical Thinking
    • Verbal Communication Skills
    • Problem Solving

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