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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 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 are popular job titles related to Junior Ai Machine Learning Python jobs in Maryland? For Junior Ai Machine Learning Python jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Maryland look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Maryland are:
What cities in Maryland are hiring for Junior Ai Machine Learning Python jobs? Cities in Maryland with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

AI/Machine Learning Specialist

Black Canyon Consulting

Bethesda, MD

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 hours ago

Job description

Overview

Black Canyon Consulting (BCC) seeks a AI/Machine Learning Specialist that will lead design and deployment of AI/ML models that advance MC&FP's mission outcomes while ensuring ethical and compliant use.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

 Duties & Responsibilities:
  • Designs AI/ML prototypes, prompt engineering libraries, and ethical AI frameworks aligned with DoD AI Ethics Principles.
  • Implement data pipelines and model governance controls
  • Collaborate with DoD CIO on AI ethics and RMF AI risk alignment
Minimum Qualifications:
  • 8 + years of experience in AI, ML, or data science solutions
  • Bachelor's in Data Science, CS, or Engineering
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Public Trust eligibility
    • must have at least Public Trust or ADP/IT-2 investigations
  • Experience with Python, TensorFlow, or PyTorch
Preferred Qualifications:
  • CQA, CMQ/OE, or equivalent certification
  • Experience supporting DoD quality programs
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Experience supporting DoD quality programs
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $135,000 - $205,000.

If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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