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Junior Ai Machine Learning Python Jobs in California

Sr Engineer, AI Solutions

Irvine, CA · On-site

$130K - $168K/yr

Mentor junior engineers in AI/Machine Learning (ML) fundamentals, coding standards, and deployment ... Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, or ...

Mentor junior engineers in AI/Machine Learning (ML) fundamentals, coding standards, and deployment ... Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, or ...

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

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 ...

New

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... and is capable of mentoring junior engineers through their journey to become better.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... and is capable of mentoring junior engineers through their journey to become better.

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Junior Ai Machine Learning Python information

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 cities in California are hiring for Junior Ai Machine Learning Python jobs? Cities in California with the most Junior Ai Machine Learning Python job openings:

Sr Engineer, AI Solutions

PDS Health

Irvine, CA • On-site

$130K - $168K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Description
Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today!
Overview
The Senior Engineer, AI Solutions collaborates with cross-functional teams to design, develop, and deploy innovative AI solutions in areas such as computer vision and Large Language Models (LLMs). The role requires advanced technical expertise, a passion for innovation, and the ability to mentor junior engineers.
Responsibilities
  • Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and Natural Language Processing (NLP), and Generative AI (GenAI) use cases: document understanding, summarization, and chatbots.
  • Develop and optimize autonomous AI agents and related workflows, including integration with enterprise systems.
  • Guide data labeling strategies and human-in-the-loop feedback for supervised and reinforcement learning models.
  • Fine-tune and evaluate Large Language Models (LLMs), and implement GenAI patterns like prompt engineering, embeddings, vector stores, and Retrieval-Augmented Generation (RAG).
  • Build and optimize robust data pipelines for large datasets, including data cleaning, transformation, labeling, and feature engineering.
  • Design scalable APIs and real-time/batch inferencing services for AI capabilities use across teams and applications.
  • Deploy and manage AI models using containerization, orchestration and Machine Learning Operations (MLOps) best practices (Continuous Integration and Deployment (CI/CD) pipelines on AWS and/or GCP).
  • Collaborate with stakeholders to understand business needs, translate into AI solutions, and align with product goals and regulatory constraints.
  • Mentor junior engineers in AI/Machine Learning (ML) fundamentals, coding standards, and deployment best practices.
  • Contribute to research and innovation initiatives and evaluate new techniques, tools, and architectures in AI and ML.
  • Other duties and responsibilities as assigned.

Qualifications
  • Master's degree in Computer Science, Data Science or related discipline from an accredited college or university. In lieu of degree, 6+ years of experience in AI/Machine Learning, and system design.
  • 4+ years of experience in AI/Machine Learning engineering, working with system design and deployment of AI Solutions; practical experience in healthcare AI applications.
  • 1+ years of advance technical expertise.
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain.
  • Experience with GenAI and Large Language Models (LLMs), including fine-tuning and prompt engineering.
  • Experience with retrieval-augmented generation (RAG), and vector databases.
  • Experience with SQL and/or NoSQL databases for structured and unstructured data.
  • Experience with cloud platforms (AWS and/or GCP).
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Experience working in cross-functional teams.

Preferred
  • 8+ years of experience in AI/Machine Learning (ML) with large-scale system design.
  • Strong understanding of AI system design, scalability, and performance optimization.
  • Experience with medical image analysis.
  • Experience with React or other modern JavaScript frameworks.
  • Experience with MLOps, CI/CD, and AI model optimization.
  • Familiarity with HIPAA and healthcare compliance standards.
  • Experience with clinical studies and statistical analysis.

Knowledge/Skills/Abilities
  • Demonstrated interpersonal, verbal and written communication skills.
  • Ability to collaborate with team members at all levels of the organization.
  • Demonstrated ability to mentor and lead AI projects.
  • Ability to adhere to industry best practices and regulatory requirements, particularly regarding data privacy and security.
  • Familiarity with CI/CD pipelines and DevOps practices.

Benefits
  • Medical, dental, and vision insurance
  • Paid time off
  • Tuition Reimbursement
  • 401K
  • Paid time to volunteer in your local community

PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.
Salary Information
$130,000.00-$168,000.00 / Annually