Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Job Type: Full-Time (Hybrid set-up after 6 months) Location: Huntsville ... Database Management
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Job Type: Full-Time (Hybrid set-up after 6 months) Location: Huntsville ... Database Management
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
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Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision ...
Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision ...
As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and technical leads, partnering closely with Product, Software Engineering, and UX teams. Your focus will ...
As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and technical leads, partnering closely with Product, Software Engineering, and UX teams. Your focus will ...
Ignite is currently seeking a driven, detail-oriented Machine Learning Engineer to join our team ... Monitor model performance post-deployment including managing model drift, rollback, and failure ...
Ignite is currently seeking a driven, detail-oriented Machine Learning Engineer to join our team ... Monitor model performance post-deployment including managing model drift, rollback, and failure ...
... Manage transition from prototype to production, including deployment pipelines and monitoring ... with machine learning frameworks • Strong programming skills in Python • Experience with ...
... Manage transition from prototype to production, including deployment pipelines and monitoring ... with machine learning frameworks • Strong programming skills in Python • Experience with ...
MACHINE LEARNING ENGINEER
Huntsville, AL · On-site
Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...
MACHINE LEARNING ENGINEER
Huntsville, AL · On-site
Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...
MACHINE LEARNING ENGINEER
Huntsville, AL · On-site
Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...
MACHINE LEARNING ENGINEER
Huntsville, AL · On-site
Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...
Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...
Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...
Mid-level Machine Learning Engineer
Huntsville, AL · On-site
$135K - $150K/yr
Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...
Quick apply
Mid-level Machine Learning Engineer
Huntsville, AL · On-site
$135K - $150K/yr
Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
Manager Machine Learning Finance information
What does a Manager of Machine Learning in Finance do?
A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.
What are the key skills and qualifications needed to thrive as a Manager of Machine Learning in Finance, and why are they important?
To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.
What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?
| Aspect | Manager Machine Learning Finance | Data Scientist Finance |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysis | Bachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in finance | Analyzes data, develops models, supports decision-making in finance teams |
| Employer & Industry Usage | Financial institutions, hedge funds, investment firms | Financial firms, banks, fintech companies |
The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.
How does a Manager of Machine Learning in Finance typically collaborate with cross-functional teams?
A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.
What are the most commonly searched types of Machine Learning Finance jobs in Alabama? The most popular types of Machine Learning Finance jobs in Alabama are:
What are popular job titles related to Manager Machine Learning Finance jobs in Alabama? For Manager Machine Learning Finance jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Manager Machine Learning Finance jobs in Alabama look for? The top searched job categories for Manager Machine Learning Finance jobs in Alabama are:
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What cities in Alabama are hiring for Manager Machine Learning Finance jobs? Cities in Alabama with the most Manager Machine Learning Finance job openings:
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Job description
Machine Learning Engineer
Job Type: Full-Time (Hybrid set-up after 6 months) Location: Huntsville, AL Mandatory: Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding
About the Role A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept through full-scale production deployment. The role focuses on large-scale data processing, machine learning deployment, and enterprise system integration for mission-critical initiatives. This position requires working onsite during the first 6 months to support onboarding, team integration, and project ramp-up. After the initial 6-month period, the role transitions to a hybrid schedule.
Key Responsibilities
- Design, build, and integrate machine learning solutions into broader software systems and infrastructure
- Conduct testing, experimentation, validation, and performance documentation
- Write clean, scalable, and maintainable Python code
- Collaborate with engineering teams to ensure machine learning solutions align with system architecture
- Develop and optimize data pipelines that support machine learning workflows
- Convert machine learning prototypes into scalable, production-ready applications
- Create deployment pipelines for machine learning models
- Monitor model performance and resolve issues related to drift, failures, and rollback scenarios
- Support CI/CD workflows and GitOps practices
- Work across secure Linux and Windows environments
Technology Environment
- Python
- Docker
- Jupyter Notebooks
- PostgreSQL
- GitLab
- GitHub
- SQL/NoSQL Databases
- Linux
- Windows
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline
- Minimum of 12 years of overall professional experience
- 1-3 years of hands-on experience working with machine learning frameworks
- Strong Python programming experience
- Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
- Experience working with SQL and NoSQL databases
- Knowledge of CI/CD pipelines and Agile development methodologies
- Strong understanding of software design principles and system integration
Preferred Qualifications
- Master's degree in a related field with 12 years of experience OR
- Bachelor's degree in a related field with 17 years of experience
- Experience working with petabyte-scale datasets
- Background supporting multi-source intelligence analytics
- Experience deploying, monitoring, and scaling machine learning models in production environments
Key Skills Required
- Machine Learning Model Deployment
- Python Development
- Data Pipeline Engineering
- CI/CD Implementation
- Cloud & Container Technologies
- System Integration
- Database Management
About Abode TechZone
Sourced by ZipRecruiter
Abode is fast-growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Abode’s vision is to provide best ever IT’s Staff Solutions services with an effective strategy which can address market fluctuations in key areas, such as time, cost, risk, flexibility, control, and expertise. We target to connect our partners with the best professional talent you need.
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2019