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Remote Aws Machine Learning Jobs in Connecticut (NOW HIRING)

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Archera works closely with AWS, Microsoft Azure, and Google Cloud, along with a broad partner ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Sr. Director, Customer Acquisition

Stamford, CT · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT ... Partner cross-functionally to integrate first-party data and machine learning insights into media ...

New

Sr. Director, Customer Acquisition

Stamford, CT · On-site +1

$190K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT ... Partner cross-functionally to integrate first-party data and machine learning insights into media ...

New

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Hands-on experience with cloud platforms and services, such as Google Cloud, AWS, Azure and their ...

Research General Engineer

New London, CT · On-site +1

$120K - $156K/yr

Specific competencies include remote sensing, machine learning, computer vision, control systems, uncrewed systems, advanced networking, test engineering, and integration of autonomy into legacy or ...

Principal Program Manager, Real-Time

Norwalk, CT · Remote

  • Medical

  • Life

  • Retirement

  • PTO

... AWS) and financial management of technology programs. * Experience managingglobal, remote ... Desire for on-going challenges and interest in continuously learning about new business practices ...

Jr. Systems Engineer - Hybrid

Stamford, CT · On-site +1

$55K - $75K/yr

... learning and accelerated technical growth. This role will provide direct support to client users ... Provide onsite and remote IT support to client users. * Troubleshoot and resolve desktop, software ...

Showing results 41-55

Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are the most commonly searched types of Aws Machine Learning jobs in Connecticut?

The most popular types of Aws Machine Learning jobs in Connecticut are:

What are popular job titles related to Remote Aws Machine Learning jobs in Connecticut?

For Remote Aws Machine Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Aws Machine Learning jobs in Connecticut look for?

The top searched job categories for Remote Aws Machine Learning jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Aws Machine Learning jobs?

Cities in Connecticut with the most Remote Aws Machine Learning job openings:

Full-time

Medical, Dental, Vision, Retirement, PTO

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Job description

GTM Enablement Manager Company Overview

Archera empowers organizations of all sizes to optimize their cloud costs through unique, short-term, insured commitments. Hundreds of customers rely on Archera\'s innovative FinTech solutions to increase their cloud ROI while accelerating revenue objectives and service agility.

Archera\'s unique cloud rate insurance products and free FinOps platform enable teams to accurately predict and plan infrastructure growth, maximize commitment-based savings, and hedge against market demands and evolving cloud service provider offerings. Archera works closely with AWS, Microsoft Azure, and Google Cloud, along with a broad partner ecosystem, to help customers execute financially prudent cloud strategies.

Position Overview

Archera is hiring its first dedicated enablement owner to shape how our go-to-market teams and partners build their expertise — from onboarding through certification and beyond. Sitting within Field Engineering as an individual contributor, you\'ll create enablement for Sales, Customer Success, Technical Account Managers, and Alliances, and extend it to our partner ecosystem of distributors, VARs, resellers, and hyperscaler field teams. You\'ll own the certification program that gives every customer and partner conversation a foundation of validated expertise. Field Engineering brings the deep technical knowledge — commitment mechanics, cloud provider policy, exchange strategy — and you turn it into training that\'s clear, engaging, and easy for each audience to put to work.

Key Responsibilities
  • Develop and own the GTM enablement roadmap, shaped by company priorities, product launches, partner strategy, and input from Sales, Customer Success, Alliances, and Field Engineering.
  • Build onboarding and ramp programs for Sales, Customer Success, TAMs, Alliances, and partner-facing roles, and bring today\'s scattered enablement material together into one place people actually use.
  • Keep internal and external knowledge current and trustworthy, partnering with Field Engineering to maintain a source of truth teams can rely on.
  • Own launch enablement — turn new features, products, and programs from Product, Product Marketing, and Field Engineering into modular training that lands with internal teams and partners in step with each release.
  • Design modular, role- and maturity-tiered curricula for different partner personas — distributor teams, VAR/SI solution architects, reseller sellers, and hyperscaler field roles (Microsoft CSAMs/PDMs, AWS sellers and SAs) — and deliver the mix of live sessions, workshops, and self-serve tracks that gets partners to their first registered deal.
  • Build and maintain the demo program — scripts, environments, and audience-specific talk tracks — so every team can tell Archera\'s story well, and keep it current as the product evolves.
  • Own and grow the certification program across its tracks (Customer Demo, Customer Savings Analysis, Channel Partners, AWS Alliances, MS/Azure Alliances), extending it to partners so they\'re set up to represent Archera with confidence.
  • Partner with subject-matter experts to design and run certification — build clear, fair rubrics and handle the logistics, so experts can focus on teaching and candidates get a great experience.
Qualifications
  • 5+ years across enablement, technical enablement, solutions engineering, technical account management, or cloud consulting, including 2+ years designing and delivering training programs.
  • Real time in the field — you\'ve carried a quota, run pre-sales, or delivered consulting work, so you know what a great customer conversation sounds like.
  • Certified cloud practitioner or higher in at least one major provider (AWS, Azure, or GCP), with FinOps Certified Practitioner within your first 90 days.
  • Able to get demo-fluent in a technical product, since you\'ll coach others through theirs.
  • Experience enabling external technical audiences and building enablement programs — and the content behind them — from the ground up.
  • A gift for making complex, quantitative ideas click, and the credibility to guide senior stakeholders without needing formal authority.
Nice-to-Haves
  • Experience at a cloud cost management, FinOps, or cloud commitment platform, and in a channel-led motion (distributors, VARs, MSPs, or CSP resellers).
  • Familiarity with hyperscaler co-sell and marketplace mechanics.
  • Advanced FinOps certifications (FinOps Certified Engineer, FinOps Certified Professional, or FOCUS Analyst).
  • Instructional design or adult-learning background.
Benefits
  • Competitive salary and equity package
  • Comprehensive medical, dental, and vision coverage
  • 401(k) plan
  • Flexible PTO and company holidays
  • Remote-first culture
  • Opportunity to shape and scale a category-defining FinTech platform