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Remote Google Machine Learning Engineer Jobs in Birmingham, AL

Senior Data Scientist

Birmingham, AL ยท On-site +1

$130K - $170K/yr

Remote / Hybrid / Onsite Department: Data Science & AI Job Summary We are seeking an experienced ... machine learning, and data engineering techniques to solve complex business problems, develop ...

New

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Python Developer

Montevallo, AL ยท On-site +1

$90K - $125K/yr

Python Developer Location Remote / Hybrid / On-site Experience 3-6 Years Employment Type Full-Time ... AWS, Azure, or Google Cloud Platform * Redis * Celery * Kubernetes * MongoDB * GraphQL

Posted today

Sr Software Engineer (Java)

Birmingham, AL ยท Remote

$117K - $154K/yr

If you are passionate about cutting-edge tech like Java 21 and Google Cloud Platform (GCP), and you ... learning. * Champion Engineering Excellence: Infuse Agile/Scrum best practices, robust CI/CD ...

Senior Data Engineer

Birmingham, AL ยท Remote

$99K - $135K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... Mentor engineering team members,facilitatecode reviews, and promote continuous learning and ...

Baker Hughes Bently Nevada offers a holistic suite of machine condition monitoring and protection ... or remote). You will evaluate asset condition and recommend corrective action based on quality ...

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Remote Google Machine Learning Engineer information

See Birmingham, AL salary details

$29.5K

$120.7K

$181.3K

How much do remote google machine learning engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote google machine learning engineer in Birmingham, AL is $120,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $145,300.00 per year, depending on experience, location, and employer.

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Birmingham, AL? For Remote Google Machine Learning Engineer jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Birmingham, AL look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Birmingham, AL are:
What cities near Birmingham, AL are hiring for Remote Google Machine Learning Engineer jobs? Cities near Birmingham, AL with the most Remote Google Machine Learning Engineer job openings:

Senior Data Scientist

Vultus Inc

Birmingham, AL โ€ข On-site, Remote

$130K - $170K/yr

Full-time

Posted 2 days ago

New


Job description

Senior Data Scientist
Experience: 6โ€“10 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Data Science & AI

Job Summary

We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage advanced statistical analysis, machine learning, and data engineering techniques to solve complex business problems, develop predictive models, and provide actionable insights. You will collaborate with cross-functional teams to build scalable AI solutions that drive business value. A strong JD should clearly outline responsibilities, required skills, and expectations to attract qualified candidates.

Key Responsibilities
  • Design, build, and deploy machine learning and predictive analytics models.
  • Analyze structured and unstructured datasets to identify trends and business opportunities.
  • Develop data pipelines and automate data processing workflows.
  • Collaborate with product managers, business analysts, and engineering teams.
  • Validate model performance and optimize algorithms for production.
  • Present technical findings and recommendations to business stakeholders.
  • Mentor junior data scientists and conduct code reviews.
  • Stay updated with advancements in AI, Machine Learning, and Generative AI.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Statistics
  • Data Modeling
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow or PyTorch
  • Data Visualization (Power BI/Tableau)
  • Apache Spark
  • Git
  • Cloud Platforms (AWS, Azure, or GCP)
Secondary Skills
  • NLP (Natural Language Processing)
  • Generative AI
  • Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • MLOps
  • Docker
  • Kubernetes
  • Airflow
  • Snowflake
  • Databricks
  • CI/CD
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6โ€“10 years of experience in Data Science or Machine Learning.
  • Strong experience building and deploying ML models in production.
  • Expertise in SQL and Python programming.
  • Experience working with cloud platforms and big data technologies.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Generative AI and LLM-based applications.
  • Knowledge of MLOps and model deployment best practices.
  • Experience in Agile/Scrum development environments.
  • Relevant certifications in AWS, Azure, GCP, or Data Science are a plus.
Salary

USD $130,000 โ€“ $170,000 per year (Based on experience and location)