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Junior Ai Machine Learning Python Jobs in Lugoff, SC

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... The Opportunity As part of the People Tech & AI team you will lead teams delivering governed ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... development. Our platform offers an engaging blend of flexibility and challenge: you'll work ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... development. Our platform offers an engaging blend of flexibility and challenge: you'll work ...

Deep hands-on Python development experience * Strong understanding of end-to-end RAG pipeline ... Reinforcement learning * Planning algorithms * Multi-agent systems * Experience deploying AI ...

NGA AI Engineer Senior Manager

Columbia, SC · On-site

$91K - $321.50K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Lead the creation of innovative AI solutions to enhance operational ...

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Junior Ai Machine Learning Python information

See Lugoff, SC salary details

$38.8K

$78.8K

$118.3K

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

As of May 31, 2026, the average yearly pay for junior ai machine learning python in Lugoff, SC is $78,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $79,600.00 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 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 job categories do people searching Junior Ai Machine Learning Python jobs in Lugoff, SC look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Lugoff, SC are:
What cities near Lugoff, SC are hiring for Junior Ai Machine Learning Python jobs? Cities near Lugoff, SC with the most Junior Ai Machine Learning Python job openings:
GenAI Python Systems Engineer -Senior Manager

GenAI Python Systems Engineer -Senior Manager

Pwc

Columbia, SC

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.
Responsibilities
- Lead the creation and execution of data architecture strategies
- Drive innovation and thought leadership in data solutions
- Collaborate with stakeholders to align technical solutions with business needs
- Maintain compliance with data governance and security protocols
- Promote an environment where technology and people excel together
- Translate complex data requirements into actionable technical plans
- Oversee the implementation of advanced data technologies
- Facilitate cross-functional collaboration to enhance data architecture
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
- Proficient in Python and structured/unstructured data
- Proficient in SQL and relational databases
- Writing and maintaining FastAPI endpoints for applications
- Understanding AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Developing scalable data storage solutions using cloud services
- Designing and managing data warehouses and data lakes
- Implementing IAM roles and policies for cloud platforms

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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