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Temporary Infosys Machine Learning Jobs in Virginia

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... has a temporary work visa. * Bachelor's degree in Computer Science, Engineering, or a related ... Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ...

New

Imagery Anst Sr

Sterling, VA · On-site

$97K - $164K/yr

Experience working with or developing Machine Learning algorithms for exploiting overhead imagery ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

Imagery Anst Prin

Sterling, VA · On-site

$118K - $200K/yr

Experience in Machine Learning (ML). * A current TS/SCI clearance with ability to obtain CI poly if ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

Imagery Anst Prin

Sterling, VA · On-site

$118K - $200K/yr

General experience in Machine Learning (ML) techniques to EO imagery and data to address ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

Experience in Machine Learning (ML). * A current TS/SCI clearance with ability to obtain CI poly if ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

New Hire Utility Operator As a New Hire Utility Operator, you will be responsible for learning to ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Imagery Anst Sr

Sterling, VA · On-site

$97K - $164K/yr

General experience in Machine Learning (ML) techniques to EO imagery and data to address ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

Business Intel Anst Prin

Reston, VA · On-site

$118K - $200K/yr

... machine learning. As a Technology Innovation Specialist, you will be responsible for leading and ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

IT Sys Arch Sr Prin II

Sterling, VA · On-site

$149K - $254K/yr

... machine learning, and cloud computing), to architect and lead the implementation of collection ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Hourly Hourly Wage: $22.00 with no experience Temp to Permanent Function: Operations The statements ... We offer events, resources, and learning opportunities that inspire aphysical, social, emotional ...

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Showing results 1-20

Temporary Infosys Machine Learning information

What is the difference between Temporary Infosys Machine Learning vs Temporary Infosys Data Analyst?

AspectTemporary Infosys Machine LearningTemporary Infosys Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Data Science, or related; proficiency in data visualization
Work EnvironmentDeveloping ML models, programming in Python/R, experimenting with algorithmsData cleaning, analysis, reporting, using SQL and BI tools
Employer & Industry UsageTech companies, consulting firms, industries adopting AI/ML solutionsFinance, healthcare, retail, industries relying on data insights

Temporary Infosys Machine Learning roles focus on developing and implementing machine learning models, requiring programming and algorithm knowledge. In contrast, Temporary Infosys Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are vital in data-driven industries but differ in technical depth and daily tasks.

What are popular job titles related to Temporary Infosys Machine Learning jobs in Virginia? For Temporary Infosys Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Temporary Infosys Machine Learning jobs in Virginia look for? The top searched job categories for Temporary Infosys Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Temporary Infosys Machine Learning jobs? Cities in Virginia with the most Temporary Infosys Machine Learning job openings:

Senior AI/ML Engineer

Lateral Insights LLC

Great Falls, VA • Remote

$105K - $145K/yr

Full-time

Posted 13 hours ago


Job description

Senior AI/ML Platform Engineer

Position Overview

We are looking for an experienced Senior AI/ML Platform Engineer to lead the development and deployment of scalable artificial intelligence and machine learning solutions. This role is ideal for a hands-on engineer who enjoys building production-ready systems, solving complex technical challenges, and delivering AI-driven capabilities across cloud-native environments.

The successful candidate will bring a strong software engineering background, deep expertise in machine learning platforms, and practical experience operationalizing AI solutions from concept to production.

Location: Vienna VA (We will consider Remote candidates within US Mainland on EST)

Required Qualifications

  • Must be a US Citizen/ Permanent Resident able to be employed as a Fulltime Employee. Due to the nature of the contract we cannot work any with layers / vendors or offer this role to anyone who needs sponsorships or has a temporary work visa. 
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
  • 10+ years of experience in software engineering, cloud engineering, or related IT disciplines
  • Minimum 3 years of hands-on experience developing and implementing AI/ML solutions
  • At least 4 years of experience working within AWS environments
  • Demonstrated success deploying machine learning models and AI applications into production
  • Strong software development skills with the ability to design, build, test, and maintain end-to-end solutions

Technical Expertise

  • AI/ML Technologies
  • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Keras
  • Knowledge of Large Language Models (LLMs), prompt engineering techniques, and NLP-based solutions
  • Experience designing, training, and optimizing machine learning models for production use
  • Software Development
  • Strong proficiency in Python and Java
  • Experience developing RESTful APIs and ML inference services using FastAPI
  • Solid understanding of software engineering best practices, testing, and performance optimization
  • Cloud & Infrastructure
  • Hands-on expertise with AWS services including Lambda, EC2, S3, DynamoDB, API Gateway, ECS/Fargate, and IoT Core
  • Experience implementing Infrastructure as Code using Terraform
  • Strong understanding of containerization and orchestration technologies including Docker and Kubernetes
  • Knowledge of distributed systems and cloud-native architectures

Additional Experience

  • Experience integrating edge devices and cloud-based systems
  • Proven ability to build and support scalable, resilient AI platforms
  • Strong troubleshooting and system optimization skills

Key Responsibilities

  • Design, develop, and deploy enterprise-scale AI and machine learning applications
  • Build and maintain robust ML pipelines that support model training, deployment, monitoring, and lifecycle management
  • Develop intelligent applications leveraging LLMs, generative AI, and NLP technologies
  • Create and support high-performance inference services and APIs for production environments
  • Automate infrastructure provisioning and platform management using Terraform and AWS services
  • Deploy and manage containerized workloads using Kubernetes and Docker
  • Collaborate with product, engineering, and data teams to deliver business-critical AI solutions
  • Monitor system performance, troubleshoot issues, and continuously improve reliability and scalability
  • Take ownership of solutions throughout the full development lifecycle, from implementation through production support

Preferred Candidate Profile

We are seeking a builder who thrives in a hands-on engineering environment and has a proven track record of delivering production-grade AI/ML systems. The ideal candidate combines strong software engineering fundamentals with practical experience deploying modern AI technologies at scale.