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Senior Machine Learning Engineer Jobs in Harvest, AL

Strata-G Solutions

Senior Machinist

Huntsville, AL · On-site

$19.50 - $26.75/hr

The Senior Machinist is responsible for advanced setup, programming, operation, troubleshooting, and optimization of CNC and manual machining equipment in a high‑precision aerospace/defense ...

Strata-G Solutions

Senior Machinist

Huntsville, AL · On-site

$19.50 - $26.75/hr

The Senior Machinist is responsible for advanced setup, programming, operation, troubleshooting, and optimization of CNC and manual machining equipment in a highprecision aerospace/defense ...

Strata-G Solutions

Senior Machinist

Huntsville, AL · On-site

$19.50 - $26.75/hr

The Senior Machinist is responsible for advanced setup, programming, operation, troubleshooting, and optimization of CNC and manual machining equipment in a high-precision aerospace/defense ...

Camgian Corporation

Senior Software Engineer

Huntsville, AL · On-site

$120K - $159K/yr

Camgian is seeking a Senior Software Engineer who will lead the development of software frameworks ... Production deployment of Machine Learning (ML) models Responsibilities * Lead software development ...

Camgian Corporation

Senior Software Engineer

Huntsville, AL · On-site

$120K - $159K/yr

Camgian is seeking a Senior Software Engineer who will lead the development of software frameworks ... Production deployment of Machine Learning (ML) models Responsibilities * Lead software development ...

Socket.dev

Senior Software Engineer

Huntsville, AL · On-site

$120 - $180/hr

Camgianis seeking a Senior Software Engineer who will lead thedevelopmentof software frameworks and ... Production deployment of Machine Learning (ML) models Responsibilities

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Showing results 21-40

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Harvest, AL

Senior Machine Learning Engineer information

See Harvest, AL salary details

$54.1K

$115.1K

$166.9K

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

As of Aug 11, 2026, the average yearly pay for senior machine learning engineer in Harvest, AL is $115,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $130,500.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Harvest, AL are hiring for Senior Machine Learning Engineer jobs? Cities near Harvest, AL with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Harvest, AL as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

Sr. Databricks Solutions Architect

ECS

Huntsville, AL • On-site

Full-time

Re-posted 5 days ago

Job description

Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our team in Huntsville, Alabama. This position is contingent upon contract award.
ECS is seeking a skilled Sr. Databricks Solutions Architect to join our Professional Services team. This position is contingent upon contract award. If you are passionate about helping customers solve complex big data challenges, leveraging Databricks for advanced analytics, machine learning, and AI-driven insights, and enjoy working in a consulting environment where technical expertise meets client engagement, this role is for you.
As a member of our team, you will work with customers on short- to medium-term engagements, providing technical guidance, architecture, and hands-on support to ensure they maximize value from their Databricks environments. You will collaborate with clients to design, implement, and optimize data pipelines, analytics workflows, and machine learning solutions, all while delivering exceptional customer service and consulting expertise.
Responsibilities
  • Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads.
  • Develop scalable ETL/ELT pipelines and integrate with cloud platforms (AWS, Azure, or GCP).
  • Guide customers on data governance, security, and compliance best practices within Databricks environments.
  • Consult on architecture, reference implementations, and best practices for leveraging Delta Lake, Unity Catalog, MLflow, and related Databricks capabilities.
  • Assist customers with productionalizing data pipelines, machine learning workflows, and AI-driven applications.
  • Provide escalated technical support for customer operational issues and help troubleshoot complex platform or workflow challenges.
  • Collaborate with internal and Databricks teams, including Engineers, Architects, Project Managers, and Customer Success teams, to ensure engagement goals are met.
  • Document technical designs, architecture patterns, deployment procedures, and lessons learned.
  • Stay current on Databricks platform features, distributed computing trends, and emerging big data technologies.
  • Deliver solutions that improve performance, scalability, and operational efficiency while meeting customer business objectives.
  • Support Professional Services and Managed Services initiatives as needed, ensuring billable deliverables meet customer expectations.

  • US Top Secret Clearance required.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
  • 7+ years of experience in Data Engineering.
  • 10+ years of consulting experience, preferably in data platform or analytics-focused engagements.
  • Completion of 6-8 hands-on projects with Databricks in production environments.
  • Proven experience with Databricks, including Spark, Delta Lake, MLflow, and cloud integration.
  • Strong proficiency in Python and/or SQL for data engineering and analytics.
  • Deep understanding of distributed computing concepts and Apache Spark runtime internals.
  • Hands-on experience designing and deploying end-to-end big data and machine learning solutions.
  • Familiarity with data modeling, performance tuning, and production-grade pipeline design.
  • Experience working directly with customers in a consulting or professional services capacity.
  • Ability to manage technical scope, timelines, and delivery while maintaining excellent customer communication.
  • Willingness to travel up to 30% for customer engagements.

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