We are seeking a Senior Machine Learning Engineer to join our team.
Req.# 671804940
#LI-DNI
Responsibilities
- Develop and optimize data models and pipelines, utilizing Python and relevant data processing frameworks
- Engage in the data analysis to derive insights and make data-driven decisions
- Implement basic machine learning models to enhance data functionality and value
- Contribute to the development and maintenance of on-device ML applications
- Participate in problem-solving activities by leveraging SQL, Python and data Engineering competencies
- Strong understanding of database engineering, data modeling, and software development practices
- Extensive experience working with machine learning, including running ML Models on devices such as TensorFlow & TensorFlow Lite
- Expert in the machine learning pipeline and data management process
- Ability to debug and modify existing machine learning models within a company's ecosystem
- Comfortable with machine learning model building, training, testing, and deployment
- Hands on with utilizing Python for Data Manipulation and exposure to LeetCode-style problems
- Proficient in Data Analysis and the Pandas library for Python
- Highly skilled in SQL for data management and analysis
- History working with data fetching, data processing and the preparation for machine learning tasks
- Familiar with AWS for data preprocessing and running ML models as well as the broader big data ecosystem and cloud services
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- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
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EPAM welcomes all applicants and will consider qualified candidates with criminal history such as arrest and conviction records in a manner consistent applicable law, including the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring.
This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $160K - $170K. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.