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Machine Learning Manager Jobs in Ponchatoula, LA

Machinist Apprentice (Part-time)

New Orleans, LA · On-site

$17 - $21.75/hr

This role is designed as a hands-on learning opportunity, offering exposure to precision machining ... Laitram Machine Shop Quality Management System. * Accurately perform all production-related ...

US Tech - AI Engineering Senior Associate

New Orleans, LA · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... manage and inspire others. Navigating increasingly complex situations, you are growing your ...

Define and evolve Ochsner's artificial intelligence and machine learning (AI/ML) strategy across ... Lead the packaging, validation, deployment, monitoring, and lifecycle management of ML and AI ...

Define and evolve Ochsner's artificial intelligence and machine learning (AI/ML) strategy across ... Lead the packaging, validation, deployment, monitoring, and lifecycle management of ML and AI ...

Manager, Strategy, Growth, and Transformation Advance your career as a senior technical leader ... We modernize supply chains by implementing artificial intelligence, machine learning, and connected ...

We modernize supply chains by implementing artificial intelligence, machine learning, and connected ... This role will manage solution delivery through a variety of activities including process design ...

... machine learning or artificial intelligence teams, or enterprise architecture stakeholders * Hands-on experience with AI capabilities for coding (e.g. Claude Code, Codex or Cursor) and deep ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

ERP AI Engineer - Manager

New Orleans, LA · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Oracle Management Level Manager & Summary At PwC, our ... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ...

Showing results 21-40

Machine Learning Manager information

See Ponchatoula, LA salary details

$40.6K

$65.1K

$94K

How much do machine learning manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning manager in Ponchatoula, LA is $65,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $73,700.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
Infographic showing various Machine Learning Manager job openings in Ponchatoula, LA as of August 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $65,093 per year, or $31.3 per hour.

GenAI Python Systems Engineer - Experienced Associate

Pwc

New Orleans, LA • On-site

$61K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

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.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will contribute to innovative projects that leverage advanced technology. As an Associate you will focus on learning and supporting client engagements while developing your technical skills and building meaningful relationships. This role offers a unique chance to work with advanced AI techniques and cloud platforms, enhancing your knowledge in a fast-paced environment.
Responsibilities
- Build and maintain sturdy relationships with clients and team members
- Contribute to the development of solutions in a dynamic environment
- Work with team members to achieve project objectives
- Analyze data to derive insights and inform decision-making
- Uphold professional standards and ethical practices in every task
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
- At least 1 year 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]
- Skilled in programming languages like Python, Java, or Scala
- Demonstrating competence in SQL and relational databases
- Managing containerized deployments with Docker
- Maintaining software quality through developer-led testing
- Understanding AI techniques enhancing LLMs
- Designing data architecture strategies for business needs
- Working with stakeholders to translate data requirements
- Familiarity with machine learning and data science workflows
- Monitoring and troubleshooting data pipelines, data warehouses, and workflows to promote data quality, system reliability, performance, and cost management
- Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $61,000 - $100,000. 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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