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Remote Google Machine Learning Engineer Jobs in Connecticut

Python Tutor

Norwalk, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Stamford, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Hartford, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

New Haven, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Experience developing predictive ...

Own company-controlled identity and access across Okta, Microsoft 365 / Google Workspace, and AWS ... Solid network security fundamental knowledge with firewalls, segmentation, secure remote access ...

... around machinery and material handling equipment. Desirable Qualities: * Financial industry ... Experience with vendors such as Google Workspace, Box, Dropbox, Duo, Okta, AirWatch * Experience ...

Build healthy engineering practices and a strong learning culture. * Stay current on iOS and ... Strong experience and familiar with Google Play and Apple Store release processes. 4. Technical ...

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Remote Google Machine Learning Engineer information

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a Remote Google Machine Learning Engineer, and why are they important?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Connecticut? The most popular types of Google Machine Learning Engineer jobs in Connecticut are:
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Connecticut? For Remote Google Machine Learning Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Connecticut look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Google Machine Learning Engineer jobs? Cities in Connecticut with the most Remote Google Machine Learning Engineer job openings:
Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Cigna

Bloomfield, CT • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Cigna Healthcare rating

8.4

Company rating: 8.4 out of 10

Based on 234 frontline employees who took The Breakroom Quiz

27th of 882 rated healthcare providers


Job description

Join our Data Science Center of Expertise and help shape the future of healthcare forecasting. In this role, you will drive innovative approaches to medical cost trend forecasting and reserving, improving accuracy and enabling smarter financial decisions. You will work with cross-functional partners to bring advanced analytics to life and strengthen the predictability and stability of our business.

Responsibilities

  • Lead the design and delivery of advanced medical cost forecasting solutions that improve claim reserving and enterprise financial forecasting

  • Prototype and validate new analytical approaches using techniques such as time series modeling, simulation, and machine learning

  • Create diagnostics and performance measures to evaluate forecast accuracy and explain key cost drivers

  • Partner with finance, actuarial, and business teams to translate forecasting needs into actionable analytics solutions

  • Communicate findings through clear insights, presentations, and technical documentation to support decision-making

  • Develop early-warning analytics to identify emerging cost trends and risks

  • Collaborate with data engineering and product teams to ensure scalable and interpretable solutions

  • Contribute to model monitoring, governance, and continuous improvement processes

  • Mentor junior team members and share best practices across the data science community

Qualifications

Required Qualifications

  • 5+ years of experience in data science, analytics, or a related field

  • Strong proficiency in Python, SQL, machine learning, and statistical modeling

  • Hands-on experience with forecasting techniques such as time series analysis, simulation, or scenario modeling

  • Experience working with large datasets using platforms such as Databricks or Spark

  • Ability to communicate complex analytical concepts to technical and business audiences

  • Experience partnering cross-functionally to deliver data-driven solutions

Preferred Qualifications

  • Experience in healthcare payer analytics, including medical cost trend, reserving, or pricing

  • Experience with anomaly detection or advanced statistical techniques

  • Knowledge of model lifecycle management and best practices for reproducible research

  • Demonstrated ability to mentor and guide junior team members


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 131,200 - 218,600 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


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