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

Appgate

Principal Machine Learning Engineer

Manhattan, NY · On-site

$220K - $265K/yr

Expertise in Python , ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub ... AI / Fraud Prevention Engineering Experience: 5+ years (Staff) or 8+ years (Principal) in ML or ...

Soni Resources

AI/ML Engineer

New York, NY · On-site

$175K/yr

We are seeking an AI/ML Engineer to help develop and deploy machine learning solutions that ... experience in Python or R * Experience working with both structured and unstructured data ...

Appgate

Staff Machine Learning Engineer

Manhattan, NY · On-site

$180K - $220K/yr

Expertise in Python , ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub ... AI / Fraud Prevention Engineering Experience: 5+ years (Staff) or 8+ years (Principal) in ML or ...

Savant Bio

AI/ML Engineer

Manhattan, NY · On-site

... Python development skills, including experience with production-quality ML codebases • ... prompt engineering, evaluation, fine-tuning, observability • Comfort working in fast-paced ...

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site +1

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

Rebar

Senior ML Infrastructure Engineer

New York, NY · On-site

$118K - $161K/yr

... developer platforms, ML platforms, or integration-heavy infrastructure work. * Expert-level Python; comfortable picking up other languages as the tooling demands. * 2+ years of experience with cloud ...

Coral AI

ML Engineer - New York

New York, NY · On-site

At Coral AI ( trycoral.ai ) , we're engineering the intelligent operating system for a more ... Proficiency with Python and ML frameworks like TensorFlow or PyTorch * Strong understanding of deep ...

Polar IT Services

AWS Python Lead Developer

Manhattan, NY · On-site +1

$154K - $189K/yr

AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...

Diverse Lynx Llc

ML Software Engineer

Jersey City, NJ · On-site

ML Software Engineer Location : Jersey City Exp: 12+ RTTO - 5 Days Onsite You will operate as a ... Proficiency in programming languages like Python for model development, experimentation, and ...

Polar IT Services

AWS Python Lead Developer

Manhattan, NY · On-site +1

$154K - $189K/yr

AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...

Virtusa

AI Architect

New York, NY · On-site

Years of Experience 10-15 Years Job Summary We are seeking a highly skilled AI/ML Engineer with ... Proficiency in programming languages such as Python, Java, or similar. * Experience with AI ...

Virtusa

AI Architect

New York, NY

Years of Experience 10-15 Years Job Summary We are seeking a highly skilled AI/ML Engineer with ... Proficiency in programming languages such as Python, Java, or similar. * Experience with AI ...

Visia

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

Work closely with ML engineers to accelerate the feedback loop between deployed models and training ... Python backend development (Flask, FastAPI) * Frontend development (React / React Native) * Cloud ...

Prior Labs

ML Engineer, Open Source

New York, NY · On-site

... maintaining Python packages or ML libraries used by others (open source track record strongly ... Genuine care about developer experience: you write great docs and great error messages because you ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Secaucus, NJ

Python Ml Developer information

See Secaucus, NJ salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python ml developer in Secaucus, NJ is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 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 are popular job titles related to Python Ml Developer jobs in Secaucus, NJ? For Python Ml Developer jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Secaucus, NJ look for? The top searched job categories for Python Ml Developer jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Python Ml Developer jobs? Cities near Secaucus, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you

Principal Machine Learning Engineer

Appgate

Manhattan, NY • On-site

$220K - $265K/yr

Full-time

Posted 27 days ago

Job description

About the Role
We are seeking an exceptional Principal Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform.
You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.
This is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI-enhanced detection models.
Responsibilities
  • Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis.
  • Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and monitoring.
  • Leverage modern AI techniques, including generative AI, to improve fraud pattern discovery and model robustness.
  • Design and implement real-time decision systems, integrating with transaction or behavioral data streams.
  • Collaborate closely with engineering, security, and risk teams to define data strategy and labeling frameworks.
  • Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases.
  • Promote engineering excellence - automation, CI/CD, reproducibility, observability, and model governance.
  • Mentor and guide ML and software engineers, fostering best practices and innovation.
Minimum Qualifications
  • 5+ years of experience building ML or AI systems in production; at least 2+ in fraud, risk, or anomaly detection domains.
  • Proven track record designing and maintaining ML pipelines at scale.
  • Expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub Actions, Jenkins, or similar).
  • Strong understanding of supervised / unsupervised learning, anomaly detection, and statistical modeling.
  • Experience with big data and distributed systems (e.g., Spark, Kafka, Flink, or similar).
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
  • Strong collaboration, communication, and cross-team leadership skills.
Preferred Qualifications
  • Prior experience with fraud or financial crime detection, identity verification, or risk scoring systems.
  • Domain expertise in banking, payments, or transaction monitoring
  • Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation.
  • Familiarity with streaming analytics, graph ML, or time-series anomaly detection.
  • Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts.
  • Contributions to fraud detection research, open-source, or AI publications.
What Success Looks Like
  • Real-time AI-driven fraud prevention models with measurable reduction in false positives and detection latency.
  • Scalable, automated ML pipelines enable faster experimentation and deployment.
  • Cross-functional collaboration delivering tangible business impact in fraud loss reduction.
  • A culture of ML excellence, experimentation, and continuous learning across the team.

Location: New York City
Department: AI / Fraud Prevention Engineering
Experience: 5+ years (Staff) or 8+ years (Principal) in ML or fraud detection systems
Compensation: 220-265k + bonus
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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