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

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 ...

Senior ML Infrastructure Engineer

New York, NY ยท 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 ...

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 ...

Sr ML Infrastructure engineer

New York, NY ยท On-site

$210K - $273K/yr

The opportunity Unity Vector builds an offline ML platform that powers insight, experimentation ... Strong programming skills in Python and experience working with large-scale distributed workloads

Senior ML Engineer

New York, NY ยท On-site

$114K - $157K/yr

Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

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 ...

AWS Python Lead Developer

Manhattan, NY ยท 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 ...

AWS Python Lead Developer

Manhattan, NY ยท 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 ...

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 ...

ML Engineer

New York, NY ยท 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 ...

... 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 ...

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 ...

Work with ML researchers to develop, productionize, and deploy ML based project for clients. * Dig ... Strong background in Python and Java/C/C++. Development, packaging, patching, etc. * Debugging ...

Proven Senior Developer with expertise in Oracle, Spark SQL, Javaa, Python/Shell scripting Strong ... Preferred Qualifications Experience in AI/ML and writing scripts for anomaly detection is highly ...

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Python Ml Developer information

See Harrison, NJ salary details

$13

$61

$90

How much do python ml developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for python ml developer in Harrison, NJ is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $69.76 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 Harrison, NJ look for? The top searched job categories for Python Ml Developer jobs in Harrison, NJ are:
What cities near Harrison, NJ are hiring for Python Ml Developer jobs? Cities near Harrison, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Harrison, NJ as of July 2026, with employment types broken down into 81% Full Time, 8% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $127,710 per year, or $61.4 per hour.
AI/ML Engineer

Full-time

Posted 13 days ago


Job description

Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.
Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world's fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.
Join the Starr Enterprise Data and Artificial Intelligence Organization and start reimagining the future of insurance. The Data and AI team at Starr builds first-of-a-kind capabilities that advance the insurance practice and scale across the entire enterprise. The team's ultimate mission is to develop cutting-edge data and AI capabilities that drive profit growth for Starr.
The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms. This includes propensity and uplift modeling, classification models, forecasting, foundation models, and other methodologies. This individual will work alongside Senior AI/ML Engineers to develop scalable AI/ML solutions and provide data-driven and optimization insights across the enterprise. He/she will be passionate about learning and deploying leading technologies in the analytics space specific to the business needs to drive results and identify opportunities. As an AI/ML Engineer, this person will drive business impact by solving unique problems through advanced analytics, continuous improvement methodologies, and change management in a fast-paced environment.
Key Responsibilities:
  • Work alongside Senior AI/ML Engineers to design, develop, and deploy AI/ML solutions with best practices in statistics, machine learning, deep learning, and foundational models to improve the profitability for Starr. Example includes classification models, forecasting, propensity and uplift modeling, foundational model fine-tuning, evaluation, and implementation, etc.
  • Identify growth opportunities in underwriting, claims processing, risk assessment, and/or customer service through AI/ML augmentation.
  • Collaborate cross-functionally with business, IT, and Transformation to drive scalability and impact of the AI/ML solutions.
  • Communicate complex AI/ML concepts and findings to business leaders in a clear and concise manner.

Required Professional and Technical Expertise:
  • Master's degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines. Ph.D. preferred.
  • 2+ years of experience with advanced analytics techniques (e.g., decision tree, logistic regression, hierarchical regression, neural network, random forest, etc.)
  • 2+ years expert level R or Python analytics experience with a proven track record in advanced analytics as well as hands-on experience with digital and CRM data (structured and unstructured).
  • Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow.
  • Strong communication; ability to effectively translate complex analytics findings to business insights and recommendations.

Preferred Professional Technical Expertise:
  • Internship or project experience in AI engineering, machine learning, or a related field, preferably within the insurance or financial services industry.
  • Knowledge of actuarial science and insurance-specific data sets.
  • Passionate about data science and self-motivated to stay abreast of advances in data science techniques.
  • Desire to work in a team based dynamic and fast-paced business culture.

For individuals assigned and/or hired to work in New York, Starr Insurance Companies is required by law to include a reasonable estimate of the compensation range for this role. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets: experience and training: licensure and certifications: and other business and organizational needs. A reasonable estimate of the current range is $135,000-$175,000.
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Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.