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Vcs Jobs (NOW HIRING)

Peraton

VCS Project Coordinator

Herndon, VA

$80K - $128K/yr

Responsibilities Shape the Future of America's Skies with Peraton Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New ...

Peraton

VCS Project Coordinator

Bowie, MD · On-site

$80K - $128K/yr

Responsibilities Shape the Future of America's Skies with Peraton Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New ...

Veterans Canteen Service

Health Tech (Optician)

Bradenton, FL · On-site

$15.75 - $20.25/hr

VCS is a program office in the Veterans Health Administration (VHA) that is Veteran facing, providing America's Veterans enrolled in VA's Health Care System, their families, caregivers, and VA ...

Peraton

VCS Project Coordinator

Bowie, MD · On-site

Job Summary : Peraton is a next-generation national security company that drives missions of consequence spanning the globe. They are seeking a Project Coordinator / Integrated Master Schedule (IMS ...

Visa

Data Scientist - VCS

Foster City, CA · On-site

$137K/yr

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and ...

Peraton

VCS Project Coordinator

Bowie, MD

$80K - $128K/yr

Responsibilities Shape the Future of America's Skies with Peraton Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New ...

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How much do vcs jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for vcs in the United States is $32.39, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What are VCs?

VCs, or Venture Capitalists, are investors who provide funding to early-stage or growing companies in exchange for equity, or partial ownership, in the business. They typically invest in startups with high growth potential, helping them expand by offering not only capital but also strategic advice, industry connections, and mentorship. VCs aim to achieve significant returns on their investments when the companies they back succeed, often through public offerings or acquisitions.

What are some common challenges faced by VCs when evaluating early-stage startups for investment?

One of the main challenges VCs face is assessing the potential of startups with limited financial history and unproven business models. Due diligence often involves analyzing the founding team's expertise, market opportunity, and scalability rather than relying solely on quantitative metrics. Additionally, VCs must balance the risk of investing in untested ideas with the potential for high returns, while also ensuring that their portfolio is diversified. Collaboration with other investors and industry experts is often crucial during this evaluation process.

What are the key skills and qualifications needed to thrive as a Video Conferencing Specialist, and why are they important?

To thrive as a Video Conferencing Specialist, you need a solid understanding of networking, audio-visual systems, and communication technologies, often supported by relevant IT certifications or experience. Familiarity with platforms like Zoom, Microsoft Teams, Cisco Webex, and video conferencing hardware is typically required. Excellent problem-solving abilities, customer service skills, and the ability to communicate clearly are crucial soft skills in this role. These skills and qualities are important to ensure seamless virtual meetings, resolve technical issues quickly, and support organizational productivity.
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Vcs jobs near you
Infographic showing various Vcs job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution, with an average salary of $67,364 per year, or $32.4 per hour.

Lead ML Engineer

VCS Digital LLC

Deerfield, IL • On-site

$104K - $137K/yr

Other

Posted 12 days ago

Job description

Role:                   Lead ML Engineer
Location:             Deerfield IL, 60015
Type:                   Full-time role with TCS (TATA Consultancy Services)

 

Job Description:

Required Skills

  • Languages: Python (required); SQL; optional Java/Scala
  • ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines
  • Data: Spark, DataFrames, data modeling fundamentals, feature engineering
  • DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional)
  • Cloud: Azure, logging/monitoring
  • Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.

 Good to Have

  • Understanding of Data Science models
  • Exposure to Deep Learning frameworks such as TensorFlow or PyTorch
  • Solid understanding of feature engineering, model evaluation, and experimentation.

 Preferred Traits

  • Strong communication and storytelling skills with data
  • Ability to work in a collaborative and fast-paced environment
  • Passion for solving complex business problems using data

 

Roles & Responsibilities:

ML Engineering & Delivery

  • Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
  • Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
  • Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
  • Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.

MLOps

  • Implement CI/CD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps / GitHub Actions integrated with Databricks
  • Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management
  • Establish best practices for model monitoring: data drift, concept drift, model degradation, and alerting.
  • Define and enforce guardrails for responsible AI: bias checks, explainability, privacy controls, and auditability.

 Data & Platform Collaboration

  • Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
  • Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
  • Influence target architecture and technology decisions for the ML platform roadmap.

Leadership & Mentoring

  • Provide technical leadership and mentorship to ML Engineers and junior team members.

·       Conduct design reviews, code reviews, and establish engineering standards.

  • Coordinate delivery plans, estimate work, and manage technical risks and dependencies.

Thanks & Regards

Himanshu Shahi
VCS Digital LLC
Cell:       +1 || +91
Email:   
Web:     

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