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Python Ml Developer Jobs in Princeton Junction, NJ

AI Solutions Developer

New York, NY ยท On-site

$55 - $75.75/hr

We are seeking a highly skilled AI Solutions Developer with strong expertise in building end to end AI/ML applications using Python and modern AI frameworks such as LangChain PyTorch and TensorFlow.

Senior Software Engineer

New York, NY ยท On-site

$200K - $300K/yr

Fluent in JS/TS (Node) , with some Python/ML exposure a plus * Experience with vector databases ... Early seat : This is shaping the DNA of OuterSignal's engineering org. * Massive upside

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Python Ml Developer information

See Princeton Junction, NJ salary details

$13

$61

$90

How much do python ml developer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for python ml developer in Princeton Junction, NJ is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $70.10 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 job categories do people searching Python Ml Developer jobs in Princeton Junction, NJ look for? The top searched job categories for Python Ml Developer jobs in Princeton Junction, NJ are:
What cities near Princeton Junction, NJ are hiring for Python Ml Developer jobs? Cities near Princeton Junction, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Princeton Junction, NJ as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $128,361 per year, or $61.7 per hour.
5G AI/ML Engineer & Application Modernization - Onsite

5G AI/ML Engineer & Application Modernization - Onsite

Simple Solutions

Bedminster, NJ โ€ข On-site

$50 - $55/hr

Full-time

Posted 14 days ago


Job description

Job Title: Engineer โ€“ 5G AI/ML & Application Modernization
Location: Onsite daily in Bedminster, NJ
Duration: 6 Months with opportunity to go longer

Position Overview:
senior-level 5G network engineering, AI/ML, and application modernization. This role will focus on transforming legacy applications, driving automation, and unlocking efficiencies across the companyโ€™s 5G network infrastructure to support next-generation services and scale.
Key Responsibilities
  • modernization and re-architecture of legacy telecom applications into scalable, cloud-native, Java-based platforms
  • Apply AI/ML models to optimize 5G network performance, capacity planning, and fault management
  • Identify and drive efficiency gains across the 5G ecosystem (RAN, Core, Transport, Edge)
  • Partner with network engineering and IT teams to implement intelligent automation and AIOps solutions
  • Develop high-performance Java applications supporting real-time telecom workloads
  • Analyze large-scale network data to deliver actionable insights, cost optimization, and latency reduction
  • Support innovation initiatives, POCs, and pilots tied to 5G monetization and operational excellence
Required Qualifications
Please focus on 2025/2026 PhD Graduates
  • Masters Computer Science, Electrical Engineering, Telecommunications, or related discipline
  • SMI, ORAN, 3GPP, Cloud, CI/CD, Python, Java,
  • Experience in 5G architectures (RAN, Core, Edge, Open RAN exposure a plus)
  • Development background in Java and modern application frameworks
  • Hands-on experience with AI/ML technologies (TensorFlow, PyTorch, or equivalent)
  • Proven experience in application transformation and performance optimization
  • Experience working with SMI, ORAN, 3GPP, Cloud, CI/CD, Python, Java
  • Background in telecom service provider environments
Preferred Qualifications
  • Experience with network automation, orchestration, and observability platforms
  • Familiarity with Kubernetes, microservices, and hybrid cloud architectures
  • Exposure to AIOps, network analytics, and predictive maintenance models
Success Metrics
  • Measurable reductions in network latency and operational costs
  • Improved application performance, resiliency, and scalability
  • Increased automation across network operations and service delivery
  • Delivery of AI-driven insights that improve network efficiency and customer experience