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

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 ...

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 ...

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 ...

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

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 ...

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 · 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 ...

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 ...

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 · 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 ...

... 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 ...

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 ...

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Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python ml developer in Livingston, NJ is $63.90, according to ZipRecruiter salary data. Most workers in this role earn between $52.69 and $72.60 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 Livingston, NJ look for? The top searched job categories for Python Ml Developer jobs in Livingston, NJ are:
What cities near Livingston, NJ are hiring for Python Ml Developer jobs? Cities near Livingston, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Livingston, 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 $132,917 per year, or $63.9 per hour.

Senior Python Developer - Generative AI (GenAI)

BC Forward

Jersey City, NJ • On-site

$68.25/hr

Other

Posted 17 days ago


Job description

Job Title: Senior Python Developer - Generative AI (GenAI) Location: Jersey City, NJ Duration: Contract - 11 months Pay Range: $68.25/hr (W2) Job ID: 399907 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Python Developer to join our dynamic team supporting banking technology and Generative AI initiatives. The ideal candidate will have strong experience in Python, GenAI lifecycle management, RAG pipelines, vector databases, and API-first application development and a proven ability to deliver secure, scalable AI-driven applications for document processing, risk analytics, and compliance reporting. Responsibilities: Develop object-oriented applications in Python using sound engineering practices. Implement and optimize vector database solutions for embedding storage and retrieval. Design and implement GenAI lifecycle and RAG pipelines including chunking, embedding, retrieval, re-ranking, and summarization for banking use cases. Evaluate and test embedding models and frameworks for performance, latency, memory, and cost. Apply prompt engineering, grounding, and hallucination mitigation techniques. Build API-driven services with FastAPI and API Gateway and integrate with MongoDB, Redis, and front-end frameworks such as Angular or React. Develop utilities, automation frameworks, and data pipelines to support AI/ML and GenAI programs. Create monitoring dashboards and automation scripts for system health and performance. Collaborate with DevOps using Git/Bitbucket, Jenkins, SonarQube, Artifactory, and Ansible. Partner with cross-functional teams to deliver secure, compliant, and scalable solutions in a regulated environment. Explore agentic architectures for orchestration and multi-step reasoning in AI workflows. Required Skills & Qualifications: Primary skill: Python with strong object-oriented design and development. Secondary skills: Vector databases, Django or Flask, FastAPI, Kafka, and containerization (OpenShift, Docker, Kubernetes). 5+ years of professional experience in Python software engineering. Deep experience with GenAI lifecycle and RAG pipelines. Expertise in prompt engineering and AI safety techniques. Hands-on with MongoDB, Redis, FastAPI, API integrations, and container deployment. Strong knowledge of model testing and evaluation for performance and reliability. Solid understanding of DevOps practices and enterprise tooling. Understanding of Kafka integration and configuration. Ability to deploy Python services to containers using OpenShift and Docker. Proven collaboration with large cross-functional teams in regulated settings. Preferred Skills: Experience with cloud platforms such as AWS or Azure and serverless architectures. Knowledge of agentic architectures and orchestration frameworks. Exposure to AI/ML use cases in regulatory relations or risk analytics. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.