Experience with statistical analysis (descriptive, inferential, computational) and machine learning ... Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity ...
Experience with statistical analysis (descriptive, inferential, computational) and machine learning ... Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity ...
Junior Ai Machine Learning Python information
See Booneville, MS salary details
$37.8K - $44.9K
2% of jobs
$44.9K - $51.9K
3% of jobs
$51.9K - $59K
16% of jobs
$59.6K is the 25th percentile. Wages below this are outliers.
$59K - $66K
44% of jobs
$66K - $73.1K
10% of jobs
$73.6K is the 75th percentile. Wages above this are outliers.
$73.1K - $80.2K
7% of jobs
$80.2K - $87.2K
6% of jobs
$87.2K - $94.3K
5% of jobs
$94.3K - $101.3K
5% of jobs
$101.3K - $108.4K
1% of jobs
$108.4K - $115.4K
0% of jobs
$37.8K
$76.9K
$115.4K
How much do junior ai machine learning python jobs pay per year?
As of Jul 13, 2026, the average yearly pay for junior ai machine learning python in Booneville, MS is $76,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $77,600.00 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?
| Aspect | Junior Ai Machine Learning Python | Data Analyst |
|---|---|---|
| Required Skills | Python, Machine Learning, AI concepts, data preprocessing | Excel, SQL, data visualization, basic statistical analysis |
| Certifications | Python certifications, AI/ML courses | Data analysis or visualization certifications |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, marketing departments |
| Industry Usage | Developing AI models, machine learning pipelines | Interpreting 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 Booneville, MS are hiring for Junior Ai Machine Learning Python jobs? Cities near Booneville, MS with the most Junior Ai Machine Learning Python job openings:
Atmospheric/Ocean Scientist
Stennis Space Center, MS • On-site
Other
Posted 6 days ago
Job description
Job Description
Everforth ECS is seeking an Atmospheric/Ocean Scientist to work at Stennis Space Center, MS.
This position will be supporting the National Data Buoy Center, (NDBC) and is a part of the National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS).
NDBC designs, develops, operates, and maintains a network of global data collecting buoys and coastal stations.
NDBC is located in southern Mississippi at the John C. Stennis Space Center, a National Aeronautics and Space Administration (NASA) facility.
Required Skills
Desired Skills
Physical Demands
#EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
Meet the challenge. Make a difference with Everforth ECS!
Everforth ECS is seeking an Atmospheric/Ocean Scientist to work at Stennis Space Center, MS.
This position will be supporting the National Data Buoy Center, (NDBC) and is a part of the National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS).
NDBC designs, develops, operates, and maintains a network of global data collecting buoys and coastal stations.
NDBC is located in southern Mississippi at the John C. Stennis Space Center, a National Aeronautics and Space Administration (NASA) facility.
Required Skills
- Education: MS in Atmospheric Physical, Physical Oceanography, or other earth science.
- Must be able to obtain a Public Trust clearance.
- 2 years experience in analyzing meteorological and oceanographic observations (e.g. winds, atmospheric pressure, temperatures, currents, waves) in the marine environment and identifying observational errors of all types.
- Understands, interprets and describes physical ocean data gathered by in-situ observing stations, satellites.
- Understands the relationships of numerical atmospheric and ocean products to observational data.
- Experience with Matlab and/or other scientific programming and analysis tools.
- Experience with connecting and engaging with customers to improve customer experience.
- Must be well organized with a specific focus on the details.
- Must be able to effectively communicate specialized information orally and in writing.
Desired Skills
- Technical/Scientific writing skills are necessary; having published scientific papers is desirable.
- Experience with statistical analysis (descriptive, inferential, computational) and machine learning (supervised and unsupervised).
- Background in physical oceanography with emphasis on waves and/or currents.
- Experience with developing and implementing quality control algorithms.
Physical Demands
- While performing the duties of this job, the employee is regularly required to sit at a desk and use a computer for extended periods.
- The position is generally sedentary, but may require walking or standing for brief periods of time.
- May occasionally be required to move, carry, push, pull and/or lift up to 10 pounds.
- May occasionally travel (10% or less of the time). When traveling, the employee may witness testing or observe field work. May be required to present on technical topics.
- Will perform the job daily in an office place setting.
- The noise level in the work environment is generally low with minimal background noise.
#EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
- Attracting and developing top talent and high-performing teams
- Fostering a culture that is engaging, accountable, and mission-driven
Meet the challenge. Make a difference with Everforth ECS!