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Junior Ai Machine Learning Python Jobs in Montclair, NJ

... proficiency in Python, SQL, and data tooling (e.g., pandas or equivalent). * Production AI ... experience: Hands-on experience building and operating NLP and/or LLM-powered systems in production ...

At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the ... Robust coding skills required, preferably with proficiency in Python. * Demonstrated ability to ...

As a Staff Machine Learning Engineer, you will be the overall tech lead of a single AI/Machine ... Deepproficiencyin programming languages such as Python, Java, or similar, with a strong emphasis on ...

Machine Learning Developer/Python

Manhattan, NY · Hybrid

$55.50 - $76.25/hr

The Machine Learning Developer will be responsible for designing, implementing, testing, and documenting systems from concept through validation. Excellent hands-on Python coding skills with either ...

... proficiency in Python, SQL, and data tooling (e.g., pandas or equivalent). * Production AI ... experience: Hands-on experience building and operating NLP and/or LLM-powered systems in production ...

Junior AI Engineer

New York, NY · On-site

$100K - $120K/yr

Strong Python programming skills with comfort working in a shared professional codebase ... Familiarity with deep learning frameworks ( PyTorch , TensorFlow, or JAX) and strong applied ML ...

Strong Python programming skills with comfort working in a shared professional codebase ... Familiarity with deep learning frameworks ( PyTorch , TensorFlow, or JAX) and strong applied ML ...

... proficiency in Python, SQL, and data tooling (e.g., pandas or equivalent). * Production AI ... experience: Hands-on experience building and operating NLP and/or LLM-powered systems in production ...

Junior AI Engineer

New York, NY · On-site

$100K - $120K/yr

Strong Python programming skills with comfort working in a shared professional codebase ... Familiarity with deep learning frameworks ( PyTorch , TensorFlow, or JAX) and strong applied ML ...

Staff Machine Learning Engineer

Manhattan, NY · On-site

$179.40K - $224.25K/yr

The AI & Machine Learning group at Headspace is a dynamic and innovative group whose mission is to ... Mentorship of junior engineers and contribution to DEIB initiatives Preferred Skills: * Master ...

Staff Machine Learning Engineer

New York, NY · On-site +1

$179.40K - $224.25K/yr

The AI & Machine Learning group at Headspace is a dynamic and innovative group whose mission is to ... Mentorship of junior engineers and contribution to DEIB initiatives Preferred Skills: * Master ...

As an ML Engineer, you will develop machine learning systems and data pipelines, impacting the AI ... guide junior team members and interns, promoting an environment of continuous learning and ...

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Junior Ai Machine Learning Python information

See Montclair, NJ salary details

$47.4K

$96.3K

$144.7K

How much do junior ai machine learning python jobs pay per year?

As of Jun 1, 2026, the average yearly pay for junior ai machine learning python in Montclair, NJ is $96,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $97,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Junior Ai Machine Learning Python jobs in Montclair, NJ look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Montclair, NJ are:
What cities near Montclair, NJ are hiring for Junior Ai Machine Learning Python jobs? Cities near Montclair, NJ with the most Junior Ai Machine Learning Python job openings:
Infographic showing various Junior Ai Machine Learning Python job openings in Montclair, NJ as of May 2026, with employment types broken down into 81% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $96,341 per year, or $46.3 per hour.
AI/Machine Learning Engineer

AI/Machine Learning Engineer

Thesis

New York, NY • On-site

Other

Posted 22 days ago


Job description

About us

Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.

We're based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.

About the role

We are looking for a highly capable AI / ML Engineer to help build and scale Thesis's AI Care Team platform. This is a broad-scope, hands-on engineering role for a technical builder with strong ML fundamentals, production experience, and a product-oriented mindset. As an early member of the engineering team, you will play a critical role in designing, training, deploying, and operating the ML systems that power Thesis's AI coordinator.

Responsibilities:

  • Build and own AI systems end-to-end: Ingest, structure, and analyze large volumes of unstructured healthcare data, and design production-grade data and ML pipelines for both training and inference.
  • Develop NLP and LLM-powered features: Design, evaluate, and deploy models using modern NLP frameworks and LLM APIs, with a strong focus on real-world performance and reliability.
  • Operate at production scale: Architect and maintain cloud-based ML workflows in AWS, including containerized services and orchestration for data processing, training, and inference.
  • Continuously improve model quality: Monitor, test, and iterate on model accuracy, robustness, privacy, and safety within live clinical workflows.
  • Contribute across the product: Collaborate across the stack-from APIs and backend systems to product UX and workflow design-to deliver cohesive, AI-driven features.

We expect you to have:

  • ML and data depth: 3+ years of experience ingesting, structuring, and analyzing diverse data sources, with strong proficiency in Python, SQL, and data tooling (e.g., pandas or equivalent).
  • Production AI experience: Hands-on experience building and operating NLP and/or LLM-powered systems in production, including frameworks such as spaCy, LangChain, and extensive LLM API usage.
  • Pipeline expertise: Significant experience designing and maintaining data and ML pipelines in production environments.
  • Cloud and infrastructure fluency: Experience working in AWS environments, including containerized workloads and orchestration for training and inference.
  • Healthcare familiarity: Experience working with healthcare data and an understanding of the constraints of regulated environments, or strong motivation to develop this expertise.
  • Cross-functional communication: Ability to collaborate effectively with engineers, product leaders, and clinical stakeholders.
  • Ownership mentality: Demonstrated success operating in early-stage or high-growth environments with broad technical responsibility.
  • Full-stack capabilities: Comfort contributing beyond core ML work, including APIs, system design, or frontend-adjacent development when needed.
  • NYC-based: You are based in New York and excited to be in-office ~3 days per week.

Target compensation for this role is $200-$250k, plus equity and a generous benefits package.

Thesis Care is an equal opportunity employer. We celebrate 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, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.