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Machine Learning Engineer Associate Jobs in Conroe, TX

AI Lead 11+ years of exp

Houston, TX ยท On-site

$133K - $164K/yr

Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions. * Proficiency in AI platforms and tools such as Azure OpenAI ...

AI Engineer II

Houston, TX ยท On-site

$116K - $144K/yr

Azure AI Engineer Associate) are a plus. * Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of ...

PMP, CSM, or AI certifications (e.g., Google Professional Machine Learning Engineer) preferred. * 5+ years in program/project management, with 3+ years focused on AI/ML, cloud platforms (AWS, Azure ...

AI Engineer II

Chicago, IL ยท On-site

$116K - $144K/yr

Azure AI Engineer Associate) are a plus. * Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of ...

Work You'll Do As an AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Sr. Software Engineer

Spring, TX ยท On-site

$109K - $143K/yr

They are seeking a Senior Software Engineer responsible for building and operating platforms and tools that support the development and lifecycle management of machine learning models and data ...

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Machine Learning Engineer Associate information

See Conroe, TX salary details

$35.5K

$70.7K

$113K

How much do machine learning engineer associate jobs pay per year?

As of Jun 24, 2026, the average yearly pay for machine learning engineer associate in Conroe, TX is $70,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $81,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are popular job titles related to Machine Learning Engineer Associate jobs in Conroe, TX? For Machine Learning Engineer Associate jobs in Conroe, TX, the most frequently searched job titles are:
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What cities near Conroe, TX are hiring for Machine Learning Engineer Associate jobs? Cities near Conroe, TX with the most Machine Learning Engineer Associate job openings:

Product Manager (Specialized in Machine Learning)

Carter Support Services

Houston, TX โ€ข On-site

Other

Posted 10 days ago


Job description

Product Manager (Machine Learning)

Company:ย Carter Support Services
Location:ย Houston
ย 

Position Summary

We are seeking a Product Manager with deep experience in machine learningโ€“driven products to lead the strategy, development, and lifecycle of ML-powered solutions. This role sits at the intersection of business, data science, engineering, and user experience, translating complex machine learning capabilities into scalable, valuable, and user-friendly products.

The ideal candidate understands both product management fundamentals and machine learning concepts, and can effectively guide teams through experimentation, model iteration, and production deployment while keeping a strong focus on customer outcomes and business impact.


Key Responsibilities
  • Define product vision, strategy, and roadmap for machine learningโ€“based products

  • Translate business problems into ML product requirements and measurable success metrics

  • Partner closely with data science and engineering teams to guide model development, training, evaluation, and deployment

  • Own product discovery, including user research, hypothesis testing, and experimentation

  • Define and prioritize features using data, experimentation results, and business impact

  • Establish KPIs for ML products, including model performance, business outcomes, and user adoption

  • Manage product lifecycle from concept through launch, iteration, and scale

  • Communicate product strategy and progress to stakeholders and executive leadership

  • Ensure responsible AI practices, including fairness, transparency, and compliance considerations


Required Qualifications
  • 4+ years of product management experience, with at least 2 years working on machine learning or data-driven products

  • Strong understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation, training pipelines)

  • Experience working with data scientists, ML engineers, and software engineers

  • Ability to translate technical concepts into clear product requirements and user value

  • Experience defining success metrics and using data to drive product decisions

  • Excellent communication, stakeholder management, and prioritization skills


Preferred Qualifications
  • Experience launching ML products into production at scale

  • Familiarity with MLOps practices and model lifecycle management

  • Experience with cloud-based ML platforms (AWS, GCP, Azure)

  • Background in AI-driven products such as recommendations, forecasting, NLP, or computer vision

  • Knowledge of regulatory, ethical, and responsible AI considerations


Core Competencies
  • Strategic thinking with strong execution focus

  • Data-driven decision making

  • Customer-centric mindset

  • Ability to manage ambiguity and complex problem spaces

  • Strong cross-functional leadership


Why Join Us
  • Build innovative products powered by cutting-edge machine learning

  • Work closely with talented data science and engineering teams

  • High ownership and visibility across the organization

  • Competitive compensation, benefits, and growth opportunities

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