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Junior Ai Machine Learning Python Jobs in Boyertown, PA

GATE 1 LTD

A.I. Manager

PA · On-site +1

Guide model development, including machine learning, deep learning, NLP, and generative AI ... Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Strong ...

Pfizer

Head of AI Clinical Excellence

Collegeville, PA · On-site

$79K - $108K/yr

Provide subject matter expertise on global regulatory expectations for AI, machine learning, and advanced analytics within drug development. * Partner with Regulatory Affairs and Quality ...

SEI Investments

AI Cybersecurity Engineer

Oaks, PA · On-site

This strategic role combines deep expertise in artificial intelligence, machine learning, and ... Strong proficiency in programming languages including Python (primary), Java, C#, Go, or similar ...

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All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Boyertown, PA

Junior Ai Machine Learning Python information

See Boyertown, PA salary details

$45.1K

$91.7K

$137.7K

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

As of Aug 7, 2026, the average yearly pay for junior ai machine learning python in Boyertown, PA is $91,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $92,600.00 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 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 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 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 cities near Boyertown, PA are hiring for Junior Ai Machine Learning Python jobs? Cities near Boyertown, PA with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

A.I. Manager

GATE 1 LTD

PA • On-site, Remote

Other

Re-posted 23 days ago

Job description

About the Company
We are a forward-thinking company committed to leveraging innovation to drive business growth and operational excellence. As part of our continued investment in technology, we are building an in-house AI department to lead the design, development, and deployment of AI-driven solutions across key areas of our business.
Why Join Us
  • Be a founding leader in shaping our AI capabilities and strategy.
  • Work remotely with flexibility and autonomy.
  • Join a collaborative, innovative, and mission-driven team.
  • Competitive compensation, benefits, and growth opportunities.

Job Summary
We are seeking an experienced and visionary AI Manager to lead the formation and development of our in-house AI team. This is a foundational leadership role responsible for designing the AI strategy, building a high-performing team, and overseeing the delivery of impactful AI solutions that align with our business objectives. You will work cross-functionally with business stakeholders, engineers, analysts, and product managers to identify opportunities where AI can create value, and then lead the implementation of those solutions from concept to production.
Key Responsibilities
Strategy & Leadership
  • Define and execute the AI roadmap in alignment with business goals.
  • Serve as the company's internal expert on AI trends, opportunities, and risks.
  • Build and lead a remote AI team, including recruiting, mentoring, and performance management.
  • Collaborate with leadership to identify high-impact AI use cases across departments.

Project Management & Delivery
  • Oversee the development and deployment of AI models and tools.
  • Ensure AI projects are delivered on time, within scope, and meet quality standards.
  • Drive adoption of best practices in data science, MLOps, and model governance.

Technical Oversight
  • Guide model development, including machine learning, deep learning, NLP, and generative AI, depending on use cases.
  • Ensure scalable and maintainable AI systems and pipelines.
  • Partner with data engineering teams to ensure data quality, availability, and security.

Cross-Functional Collaboration
  • Communicate complex AI concepts clearly to non-technical stakeholders.
  • Translate business problems into data-driven solutions.
  • Advocate for ethical AI practices and responsible data use across the organization.

Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in applied AI, machine learning, or data science roles.
  • 2+ years of experience in a leadership or managerial capacity.
  • Proven experience delivering AI/ML solutions in a business environment.
  • Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
  • Experience working in agile, cross-functional teams.

Preferred
  • Experience in building and scaling internal AI functions from the ground up.
  • Familiarity with LLMs, generative AI, and prompt engineering.
  • Exposure to AI use cases across multiple domains (e.g., marketing, operations, customer support).
  • Excellent communication, presentation, and stakeholder management skills.

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