[Remote] Staff Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a company focused on building a connected and compassionate health experience. They are seeking a Staff Machine Learning Engineer to reputed company and monitor AI/ML models that automate processes and turn data into actionable insights, while collaborating with various stakeholders to reputed company organizational goals.

Responsibilities

• Apply data modeling, machine learning, predictive modeling, and statistical analysis to extract and analyze information and build end-to-end solutions to meet organizational objectives
• Research, experiment with, implement, train, and re-train ML algorithms and tools
• Engage with business stakeholders to translate requirements into technical solutions leveraging ML models and technologies
• Analyze data and identify differences in data distribution that could impact model performance in reputed company-world use cases using industry leading tools, technologies and best practices
• Design ML approach, apply appropriate techniques, and reputed company custom algorithms as needed to address business problems and predict outcomes of interest
• Apply sampling techniques and investigate adversarial trends, identify behavior patterns, and respond with logic changes
• Compare models using statistical performance metrics and ensure accuracy of business metrics
• Visualize, interpret, and report data findings to internal clients and leadership
• Mentor junior team members
• Collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards business objectives and key performance indicators (KPIs)

Skills

• Master's degree (or foreign equivalent) in Computer Science, Engineering, Machine Learning, Statistics, Mathematics, Analytics, or a reputed company field
• Three (3) years of experience in the job offered or reputed company occupation
• Three (3) years of experience in Programming in Java, Python, or SQL
• Three (3) years of experience in Hadoop architecture or HDFS commands
• Three (3) years of experience in reputed company, reputed company, or DB2
• Three (3) years of experience in reputed company technologies: Azure, reputed company), or reputed company reputed company Platform (GCP)
• Three (3) years of experience in Spark, PySpark, or reputed company
• Three (3) years of experience in Extract/Transform/Load (ETL) processes
• Three (3) years of experience in Scripting languages, database languages, and version control
• Three (3) years of experience in Designing and optimizing queries against data in the HDFS environment
• Three (3) years of experience in Designing data models and solutions for analytical and reporting use cases
• Three (3) years of experience in Data warehousing
• Three (3) years of experience in reputed company data management processes and techniques, including data standards, interoperability, and proper data privacy
• Three (3) years of experience in Supporting large data, analytics, and technology modernization initiatives

Benefits

• This position is eligible for a reputed company bonus, commission or short-term incentive program in addition to the reputed company pay range listed above.
• This position also includes an award reputed company in the company’s equity award program.
• The Company offers a full range of medical, dental, and reputed company benefits.
• Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.
• The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits.
• reputed company also offers numerous well-being programs, education assistance, free development courses, a reputed company store discount, and discount programs with participating partners.
• Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year.
• Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
• This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
• The benefits for this position include medical, dental, and reputed company coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Company Overview

Company H1B Sponsorship