Senior ML Operations Engineer
United States of America : Remote
JOB DESCRIPTION:
Interested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improving the lives of people with diabetes? The candidate will be responsible for building machine learning and artificial intelligence products and has exceptional skills and experience in
productionizing machine learning and AI models.
The candidate will be working with other data engineers, data analysts and data scientists to focus on applying data engineering, data science and machine learning approaches to solve business problems. As a senior member of the Data Engineering & Analytics team, you will be building machine learning and artificial intelligence products to uncover customer, product and operational insights.
The candidate should have a passion for software engineering to help shape the direction of the team. Highly sought-after qualities include a self-starter, versatility and a desire to continuously learn, improve, and empower other team members. Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives.
Responsibilities
Designing, architecting and developing machine learning and deep learning systems and platforms.
Support the AI Ops needs of data science & software engineering teams from multiple products
Customize large language models for product applications, and knowledgeable in natural language processing and generative AI
Lead design and coding of big data and machine learning systems
Collaborate with product stakeholders to ideate and prove viability of machine learning use cases
Translate business needs and goals into an AI approach and solution, and articulate findings to a non-technical audience
Effective advanced analytics and AI skills with a foundation in programming (e.g. R, python), database environment (e.g. big-data platforms and SQL skills), and dashboard development
Design model performance metrics, retraining schedule and tests
Assist with deploying models to cloud infrastructure such as AWS and Microsoft Azure
Create software architecture and design documentation for the supported solutions and overall best practices and patterns
Provide architecture and technical knowledge training and support for the solution groups
Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA.
Mentor other engineers and data scientists, remain aware of new developments in the field, and help build and grow the team
Required Qualifications
Bachelors Degree in Computer Science, Information Technology or other relevant field
At least 3 to 8 years of recent experience in ML or ML Ops experience in a production environment
Experience building end-to-end scalable ML infrastructure and data pipelines with cloud platforms
Strong programming (e.g. Python / Java / Kotlin) and data engineering skills.
Experience building data pipelines for models and analytics
Experience with deploying and managing model endpoints
Experience with natural language processing and generative AI
Experience in time series data, signal, image, and video processing
Experience using the following software/tools:
Unsupervised, semi-supervised and supervised learning methods
Machine learning frameworks such as Keras, PyTorch, or Tensorflow
Libraries such as numpy, scikit-learn, scipy and statsmodel
Outstanding analytical and problem-solving skills
Prior experience in the healthcare or other regulated industries
Excellent written, verbal and listening communication skills
Comfortable working asynchronously with a distributed team
Ability to work effectively within a team in a fast-paced changing environment
The base pay for this position is
$83,000.00 – $166,000.00In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Product Development
DIVISION:
ADC Diabetes Care
LOCATION:
United States of America : Remote
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
Yes, 5 % of the Time
MEDICAL SURVEILLANCE:
No
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
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Job Profile
Remote
Benefits/Perks Tasks- Collaborate with stakeholders
- Customize large language models
- Deploy models to cloud infrastructure
- Design and develop ML systems
- Documentation
- Mentor engineers and data scientists
- Product development
- Support AI ops needs
- Training and Support
- Translate business needs
- Translate business needs into AI solutions
Analytical Analytics Artificial Intelligence AWS Best Practices Big Data Branded generic medicines Cloud Cloud Infrastructure Cloud platforms Communication Computer Science Dashboard Development Data engineering Data Pipelines Data Science Deep Learning Diabetes Care Diagnostics Documentation Engineering English Generative AI Healthcare Java Keras Kotlin Machine Learning Marketing Medical Devices Microsoft Azure Model performance metrics Natural Language Processing Nutritionals Performance Metrics Problem-solving Product Development Programming Python PyTorch R Software Software architecture Software Engineering SQL Technical knowledge TensorFlow Training
Experience3-8 years
EducationBachelor's degree in Computer Science Bachelor’s degree in Information Technology Bachelor’s degree in relevant field Business Computer Science Data Science Engineering Healthcare Information Technology Marketing Relevant Field Science Software Engineering
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9