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Junior Ai Machine Learning Python Jobs in Ohio (NOW HIRING)

$75 - $95/hr

... Unternehmen. Als Machine Learning Engineer (m/w/d) bei Synnio entwickelst und betreibst du ... Sicherer Umgang mit Python und gรคngigen ML-Bibliotheken (z. B. TensorFlow, PyTorch, Scikit-Learn ...

ClifyX is a company that specializes in AI solutions, and they are seeking a Machine Learning Engineer. The role involves designing advanced ML models, managing MLOps pipelines, and collaborating ...

$100 - $150/hr

You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity ... Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow) * Solid knowledge of ...

Participate in ethical reviews and risk/security evaluations to uphold Crowe's standards for responsible AI deployment. Required Skills * Expertise in Python programming and experience with version ...

Machine Learning Engineer

Columbus, OH ยท On-site

$62K - $100K/yr

Participate in ethical reviews and risk/security evaluations to uphold Crowe's standards for responsible AI deployment. Required Skills * Expertise in Python programming and experience with version ...

Python Developer

Strongsville, OH ยท On-site

$46.25 - $64/hr

Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks. * Testing: Implementing test-driven development and ...

$102.41 - $170.69/hr

Our advanced AI software and foundation models enable vehicles to perceive, understand, and ... Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp.

Machine Learning Intern

Columbus, OH ยท On-site

$27 - $42/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... high quality Python (readable, reusable, modular, and well-abstracted code) Using Linux, the ...

Showing results 41-60

Junior Ai Machine Learning Python information

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 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 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 Ohio?

For Junior Ai Machine Learning Python jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Junior Ai Machine Learning Python jobs?

Cities in Ohio with the most Junior Ai Machine Learning Python job openings:

Machine Learning Engineer

Etegent Technologies, LTD

Beavercreek, OH โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago


Job description

Description

About the Company:


Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities.ย 


Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.ย 


The Position:


Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities.


We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns. We wrap these algorithms in accessible, scalable software to be deployed on customer systems, often requiring containerized software and custom user interfaces for visualization.ย 


This position is based in Beavercreek, OH with the expectation of being in Etegent's office or at a customer facility 5 days a week.ย ย 


The Candidate:


More so than seeking a candidate with specific training and experience, Etegent is seeking a candidate with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. Etegent needs an MLE who is flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand.ย 


Job Responsibilities:

  • Effectively communicate status updates, and other important information, with the team and group leader.
  • Execute research-and-development tasks in close collaboration with the team and group leader according to a set project schedule.
  • Gives effective feedback to others; contributes to the writing of project updates and final reports.ย 
  • Understand, design, and implement algorithms for signature exploitation. This includes traditional feature extraction and state-of-the-art deep learning approaches.
  • Implement efficient signal/image processing techniques including radar signal processing, electro-optical and infrared image processing.
  • Develop and deploy data science tools for ingestion, visualization, and analysis of large, diverse data sources.
  • Implement machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
  • Provide expertise in data analytics and algorithm development for diverse data sources and applications.ย 
  • Apply statistical techniques to evaluate algorithm performance.
  • Coordinate with teammates and users to instantiate research concepts in efficient, modular, and well-documented software.


Requirements

Required Qualifications:

  • Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
  • Previous experience signal processing, computer vision, or machine learning experience.
  • Experience developing ML models using standard ML frameworks (PyTorch, TensorFlow, or similar).
  • Background in data science, statistics, and/or computer vision.
  • Experience with Python, Git, and Linux.
  • Ability to acquire and maintain up to a TS security clearance.

Additional Qualifications for Senior-Level Candidates:

Senior-level candidates should also demonstrate:

  • Experience building and maintaining successful relationships with R&D customers while supporting business growth and development efforts.ย 
  • Previous experience leading cross-functional project teams and driving projects to successful completion.

Preferred Qualifications:

  • Active TS security clearance.
  • Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.ย 
  • Experience creating python-based user interfaces for data visualization.
  • Experience developing scalable, modular software tools.
  • Familiarity with DoD/IC customers.
  • Experience maintaining successful relationships and developing business with R&D customers.
  • History of technical presentations and publications in relevant fields.

Attributes:

  • Independent and innovative thinker with an ability to work in an autonomous environment.
  • Demonstrates curiosity with a focus on innovating solutions for tasks.ย 
  • Effective communicator who can collaborate with teammates and customers to solve problems.ย ย 
  • Able to take personal ownership and responsibility over their work.ย 

Working at Etegent:


At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:

  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work!ย 

Competitive compensation based on qualifications and experience of candidate.

Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.