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Python Ml Developer Jobs in Mendham, NJ (NOW HIRING)

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Senior ML Infrastructure Engineer

Edison, NJ · On-site

$112K - $152K/yr

As the Senior ML Infrastructure Engineer the resource will own the end-to-end infrastructure layer ... BERT/DistilBERT/BGE loading, pipeline API, tokenization, Python (production) * Senior: Async ...

Ideal Candidate Qualifications • Experience writing Python 3 scripts to pull data from multiple ... ML engineering. • DoD or national security environment experience • Currently holds an an ...

Gen AIML Expert

Iselin, NJ · On-site

$123K - $166K/yr

Design and lead the development of end-to-end ML systems, from data ingestion to MLOps ... Expert-level Python, C++, or Java. 2. Frameworks: PyTorch, TensorFlow, JAX.

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Python Ml Developer information

See Mendham, NJ salary details

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How much do python ml developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for python ml developer in Mendham, NJ is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What cities near Mendham, NJ are hiring for Python Ml Developer jobs? Cities near Mendham, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Mendham, NJ as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, 1% Temporary, and 12% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.
Senior AI/ML Software Engineer

Senior AI/ML Software Engineer

Peraton

Basking Ridge, NJ • On-site

$146K - $234K/yr

Full-time

Posted 21 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

41st of 213 rated it services


Job description

Responsibilities

Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic AI team, you'll design, build, and ship AI-powered systems a compliance-ready, low-code platform for dynamically generating and orchestrating AI agentic workflows. You'll work across the full product lifecycle: from architecting multi-step agentic pipelines backed by Temporal.io, to building the plugin system, APIs, and interfaces that bring them to life, from within federal-grade security and accreditation constraints.

This is a role for someone who thinks deeply about how AI agents should behave in high-trust environments, cares about reliability and auditability, and can move fluidly between distributed orchestration, backend systems, and product-facing features.

Your responsibilities may include:

  • Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph, DeepAgents) and orchestrated workflows
  • Build and maintain integrations with LLM APIs (Anthropic/Claude, OpenAI, AWS Bedrock, Ollama) to power intelligent, multi-step automations
  • Develop full-stack product features (FastAPI + React) that surface AI capabilities to users - from REST APIs and streaming interfaces to workflow builders and dashboards
  • Instrument agent pipelines with OpenTelemetry tracing, provenance audit trails, and observability tooling for debugging and performance evaluation
  • Write clear, well-tested, maintainable code that passes strict pre-commit validation, and contribute to engineering standards in a compliance-driven environment
  • Evaluate agent performance, debug distributed workflows, and continuously improve reliability and output quality

#px2026

Qualifications

Minimum Requirements:

  • Minimum of a BS degree with 12 years of experience, MS degree with 10 years, or PhD with 7 years with meaningful exposure to AI/ML systems or LLM-based products
  • Hands-on experience building agentic systems using multi-step reasoning, tool use, RAG pipelines, or autonomous task execution
  • Strong Python skills (3.12+); comfort with async/await patterns, type hints, and modern Python tooling
  • Experience with workflow or task orchestration systems (Airflow, Prefect, Celery, or similar distributed execution frameworks)
  • Familiarity with agentic frameworks and an understanding of the underlying concepts (chains, tool calling, agent loops) that transfer across tools
  • Experience working with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or similar)
  • Comfort working across the stack: FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL
  • A product mindset: you think about the end user, not just the technical implementation
  • Comfort operating with some ambiguity in a fast-moving environment
  • US Citizenship is a requirement for this position

Desired Additional Experience:

  • Experience with workflow orchestration frameworks for workflow/activity patterns, task queues, worker lifecycle management
  • Familiarity with federal compliance environments: FedRAMP, FIPS 140-2/3, IronBank container hardening, OPA policy enforcement, or Section 508 accessibility
  • Experience building plugin or extension systems: dynamic code loading, container isolation, API mixin patterns
  • Exposure to orchestration patterns: supervisor agents, parallel tool calls, human-in-the-loop flows, DAG-based pipeline execution
  • Experience with observability tooling: OpenTelemetry, Jaeger, Prometheus, Grafana, or similar distributed tracing/metrics stacks
  • Familiarity with prompt engineering, evaluation frameworks, or agent observability
  • Experience with container orchestration (Docker SDK, Kubernetes) and distributed storage (S3, MinIO, JuiceFS)
  • Prior work building internal tooling, enterprise automation products, or platforms for government customers
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Pay

Benefits

Hours and flexibility

Workplace

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017