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Entry Level Machine Learning Engineer Jobs in Stratford, NJ

Merican

AI / Machine Learning Engineer

PA · On-site

AI / Machine Learning Engineer (Contract) Location: Philadelphia, PA or Charlotte, NC Duration: 6 Months Contract Job Summary We are seeking an experienced AI / Machine Learning Engineer to design ...

Varsity Tutors

Machine Learning Tutor

Chester, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

RELX Group plc

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

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All JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Stratford, NJ

Entry Level Machine Learning Engineer information

See Stratford, NJ salary details

$29.5K

$68.2K

$115.9K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for entry level machine learning engineer in Stratford, NJ is $68,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $77,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What cities near Stratford, NJ are hiring for Entry Level Machine Learning Engineer jobs? Cities near Stratford, NJ with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Stratford, NJ as of June 2026, with employment types broken down into 54% Full Time, 43% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $68,156 per year, or $32.8 per hour.
AI / Machine Learning Engineer

AI / Machine Learning Engineer

Merican

PA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: AI / Machine Learning Engineer (Contract)
Location: Philadelphia, PA or Charlotte, NC
Duration: 6 Months Contract
Job Summary
We are seeking an experienced AI / Machine Learning Engineer to design, develop, and deploy scalable AI and Large Language Model (LLM) solutions within enterprise AWS environments. The ideal candidate will have hands-on expertise with LangChain and LangGraph, strong Python development skills, and experience building production-grade AI applications that are reliable, secure, and high-performing.
Key Responsibilities
  • Design, develop, and deploy AI/LLM-powered applications in AWS production environments.
  • Build, orchestrate, and manage intelligent workflows using LangChain and LangGraph.
  • Integrate AI solutions with enterprise applications, APIs, and data platforms.
  • Optimize model performance, latency, scalability, and reliability for production use cases.
  • Develop and implement prompt engineering strategies and model evaluation frameworks.
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
  • Ensure adherence to software engineering best practices, including CI/CD, version control, testing, and deployment automation.
  • Monitor, troubleshoot, and enhance AI applications in production environments.
Required Qualifications
  • Proven experience deploying and supporting applications in AWS production environments (e.g., Lambda, ECS, EKS, S3).
  • Hands-on experience with LangChain and LangGraph for AI orchestration and workflow development.
  • Strong programming experience in Python.
  • Experience working with Large Language Models (LLMs), prompt engineering, and model evaluation techniques.
  • Solid understanding of software development best practices, including CI/CD pipelines, Git-based version control, automated testing, and deployment processes.
  • Experience integrating AI solutions with enterprise systems and APIs.
Preferred Qualifications
  • Experience building and deploying scalable generative AI applications.
  • Familiarity with vector databases, RAG (Retrieval-Augmented Generation), and AI observability tools.
  • Understanding of cloud security, governance, and compliance considerations for AI workloads.
  • Experience working in Agile development environments.
Work Arrangement
  • Candidates must be available to work onsite during the first week (Monday-Friday).
  • Candidates located in Philadelphia, PA or Charlotte, NC will follow a hybrid schedule, working onsite with the team three days per week after onboarding.
Employment Type
  • Contract (6 Months)

If you are passionate about building production-ready AI solutions and have strong expertise in AWS, LangChain, and LangGraph, we encourage you to apply.
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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

Social media

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