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

Proficiency in Python and advanced SQL, along with hands-on experience in ML frameworks such as ... IAM, Cloud DevOps, Docker Containerization, Interpersonal Dynamics with Coworkers, Kubernetes ...

Senior AI/ML Engineer

New York, NY · On-site

$114K - $157K/yr

Write scalable, maintainable, and high-quality Python code for AI and ML applications * Optimize ... Advanced Python programming skills focused on AI/ML engineering and LLM application development

Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure ...

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

AI/ML Engineer

New York, NY · On-site

$90 - $110K/hr

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

Job Role - AI/ML Engineer Location - Secaucus, NJ (Remote) Job Type: Contract Key Responsibilities ... Engage in full-stack development, with a focus on Python for backend services and React for ...

AI/ML Engineer

New York, NY · On-site

$90 - $110K/hr

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

Job Summary: We are seeking an ML Engineer to bridge the gap between machine learning ... Strong software engineering skills with proficiency in Python * Experience building REST APIs and ...

... engineering and operational excellence for running best-in-class ML platforms and continue to ... Master's degree preferred. • Advanced proficiency with Python, Java, and Scala. • Strong ...

Job Summary: We are seeking an ML Engineer to bridge the gap between machine learning ... Strong software engineering skills with proficiency in Python * Experience building REST APIs and ...

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

ML Engineer

Manhattan, NY

$170K - $185K/yr

ML Engineer NYC (Hybrid) Machine Learning Engineer @ Visia New York, NY (Hybrid/In-person) About Us ... Python backend development (Flask, FastAPI) * Frontend development (React / React Native) * Cloud ...

The AI/ML Engineer will uncover meaningful data patterns and transform them into actionable ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

Role: AI/ ML Engineer Duration: 6 months contract Location: US/ Canada- Remote Minimum exp ... Strong programming skills in Python (mandatory) * Hands-on experience with LLMs and GenAI ...

AI/ML Engineer Starr Insurance Companies is a leading insurance and investment organization ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

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Python Ml Developer information

See Bloomfield, NJ salary details

$13

$60

$88

How much do python ml developer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for python ml developer in Bloomfield, NJ is $60.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $68.17 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.

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.

What are popular job titles related to Python Ml Developer jobs in Bloomfield, NJ? For Python Ml Developer jobs in Bloomfield, NJ, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Bloomfield, NJ look for? The top searched job categories for Python Ml Developer jobs in Bloomfield, NJ are:
What cities near Bloomfield, NJ are hiring for Python Ml Developer jobs? Cities near Bloomfield, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Bloomfield, NJ as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $124,814 per year, or $60 per hour.
Senior ML Engineer / MLOps Engineer

Senior ML Engineer / MLOps Engineer

EXL

Passaic, NJ

$108K - $148K/yr

Other

Posted 4 days ago


ExlService Holdings rating

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

59th of 428 rated business services


Job description

Data Science-ML Ops Engineer

We are seeking a highly capable Senior ML Engineer / MLOps Engineer with strong experience in building, deploying, and scaling machine learning systems in production. The ideal candidate will have hands-on expertise across the end-to-end ML lifecycle, including data pipelines, model development, deployment, and monitoring, along with a strong foundation in cloud-native architectures. This role requires close collaboration with data scientists and stakeholders to operationalize ML models for business-critical use cases such as personalization, recommendations, and NLP, while ensuring scalability, reliability, and performance in production environments.

Design, develop, and deploy end-to-end ML pipelines covering data ingestion, transformation, feature engineering, model training, evaluation, and production deployment. Deploy and scale ML models on cloud platforms such as AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions), ensuring robust and cost-efficient architectures. Build and maintain CI/CD/CT pipelines using tools like GitHub Actions, Jenkins, or cloud-native services to automate model training, testing, and deployment. Containerize applications using Docker and orchestrate using Kubernetes, while managing infrastructure through Terraform or CloudFormation.

Implement model lifecycle management practices, including model registries, versioning, and feature stores (e.g., MLflow, Feast), and establish strong observability frameworks using Prometheus and Grafana. Develop monitoring systems to track ML performance metrics, data drift, model drift, and overall model health, ensuring timely retraining and optimization. Build scalable data pipelines using Airflow, Spark, and SQL, and work with orchestration tools such as Apache Airflow or AWS Step Functions. Collaborate closely with data scientists to productionize ML models for real-time and batch inference, enable A/B testing where applicable, and ensure smooth delivery of client-facing solutions. Provide mentorship to junior engineers and drive adoption of best practices in MLOps and software engineering.

Strong experience in ML Engineering / MLOps with demonstrated delivery of end-to-end ML solutions in production environments. Proficiency in Python and advanced SQL, along with hands-on experience in ML frameworks such as Scikit-learn, TensorFlow, and PyTorch. Solid understanding of machine learning algorithms, evaluation techniques, performance metrics, and validation strategies. Hands-on expertise in cloud platforms (AWS or GCP), containerization (Docker), orchestration (Kubernetes), and CI/CD tools (Jenkins, GitHub Actions). Familiarity with MLflow, Feast, Prometheus, Grafana, and modern model monitoring practices including data and model drift detection.

Strong problem-solving, communication, and stakeholder management skills with the ability to work independently in fast-paced environments. Bachelor's degree in computer science, Engineering, or a related field preferred.

Nice-to-have: Experience with real-time ML serving frameworks (KFServing, Seldon, Ray Serve), A/B testing, and experimentation platforms. Exposure to media, subscription, or recommender systems, along with knowledge of experiment design and causal inference, will be an added advantage.

Required Skills: API Gateway, AWS Lambda, AWS Managed Services, AWS VPC, Adapting To Change, Attention To Consistency, Azure IAM, Cloud DevOps, Docker Containerization, Interpersonal Dynamics with Coworkers, Kubernetes, Linux Scripting, Python Programming Language, Results Orientation, Ruby On Rails, Time Management Skills, Unix Shell Scripting, Working under Pressure, Writing Communication Skills