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Remote Machine Learning Engineer Jobs in Schenectady, NY

AVTC Group

Tableau Data Engineer

Guilderland, NY · On-site +1

$119K - $143K/yr

The engineer will also contribute to technical design documentation and support the development of a scaling roadmap for broader production rollout. Technical Skill Set • Hands-on experience ...

Jahnel Group

Software Engineer (SQL/C#)

Schenectady, NY · On-site +1

We seek a talented mid- to senior-level engineer with full-stack development skills and strong communication abilities. This individual will collaborate closely with business teams to understand and ...

Gainsight

Technical Project Manager

Albany, NY · Remote

$90K/mo

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role is a remote role based in the United States. In this role, you'll play a key role in ... and Engineering. The ideal candidate brings strong skills in enterprise project management ...

Curia, Inc.

Director, Quality Operations Support

Albany, NY · On-site +1

$148K - $184K/yr

  • Retirement

  • PTO

Director, Quality Operations Support - Remote (East Coast) Build your future at Curia, where our ... S. degree in Chemistry, Microbiology, Chemical Engineering or related field • 15+ years of ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Schenectady, NY

Remote Machine Learning Engineer information

See Schenectady, NY salary details

$30.5K

$124.6K

$187.2K

How much do remote machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote machine learning engineer in Schenectady, NY is $124,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Schenectady, NY?

The most popular types of Machine Learning Engineer jobs in Schenectady, NY are:

What job categories do people searching Remote Machine Learning Engineer jobs in Schenectady, NY look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Schenectady, NY are:

What cities near Schenectady, NY are hiring for Remote Machine Learning Engineer jobs?

Cities near Schenectady, NY with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Schenectady, NY as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $124,587 per year, or $59.9 per hour.

Tableau Data Engineer

AVTC Group

Guilderland, NY • On-site, Remote

$119K - $143K/yr

Full-time

Posted 17 days ago

Job description

All qualified resumes responded to in 48hrs or less
US Citizen in good standing willing to hold a US Government
Role Description
Support the design and implementation of self-service analytics on a cloud data platform and Tableau for a State agency client. Responsibilities include provisioning the environment, defining data models and source-to-target mappings, building data ingestion pipelines, developing Tableau dashboards, and conducting functional testing. The engineer will also contribute to technical design documentation and support the development of a scaling roadmap for broader production rollout.
Technical Skill Set
•Hands-on experience provisioning and configuring cloud data platform environments including databases, schemas, compute resources, and role-based access control (RBAC)
•Proficiency in SQL for data transformation, stored procedures, and data quality validation
•Experience with data loading and ingestion mechanisms including streaming, micro-batch, and bulk load patterns
•Experience designing and implementing cloud-native ETL/ELT pipelines using batch and CDC-based ingestion patterns
•Strong understanding of layered data architecture concepts (Medallion / Landing → Bronze → Silver → Gold)
•Experience with logical and physical data modeling and producing source-to-target mapping specifications
•Hands-on Tableau development including workbooks, dashboards, and cloud data platform-connected data sources with live and extract connection configurations
•Familiarity with Tableau row-level security (RLS) and user-based access controls
•Working knowledge of cloud data services including object storage and database migration/replication services
•Ability to produce technical design documentation, data mapping specifications, and functional testing artifacts for both technical and business audiences
•Familiarity with Python or shell scripting for pipeline automation and workflow orchestration
Nice to Have
•Experience with IaC tooling such as Terraform or GitLab CI/CD
•Prior experience on State/public sector engagement
US clearance preferred- secret
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