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Contractual Computer Vision Deep Learning Engineer Jobs in Birmingham, AL

... like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and ... D. in a quantitative field preferred (e.g., Computer Science, Statistics, Mathematics, Engineering ...

Assists in interpreting and enforcing contractual provisions regarding contractor electrical ... Comprehensive health, dental, and vision insurance. * Retirement savings plan with company match.

AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning ... Programming and Engineering: Strong Python skills (PyTorch / JAX / TensorFlow); comfortable with ...

Work with computer vision and natural language processing techniques to enhance the accuracy and ... Past programming, data capture software and imaging platform experience * Experience using LLMs ...

Sr Software Engineer (Java)

Birmingham, AL · Remote

$117K - $154K/yr

Bachelor's degree in Computer Science, IT, Software Engineering, or a related field (preferred ... Deep proficiency with Java 21 (including Streams, Functional Programming, Futures, Virtual Threads ...

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Contractual Computer Vision Deep Learning Engineer information

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How much do contractual computer vision deep learning engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for contractual computer vision deep learning engineer in Birmingham, AL is $55.85, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $62.16 per hour, depending on experience, location, and employer.

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Data Scientist 3

Mindlance

Birmingham, AL • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Mindlance is a company seeking an experienced Data Scientist to leverage advanced analytics and machine learning to inform business decisions. The role involves data analysis, predictive modeling, and collaboration with cross-functional teams to drive data initiatives and mentor junior staff.
Responsibilities:
• Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques.
• Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes.
• Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations.
• Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models.
• Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions.
• Lead the development of machine learning algorithms and their optimization to solve complex business problems.
• Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses.
• Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications.
• Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements.
• Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives.
• Collaborate closely with cross functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.
• Provide mentorship and guidance to junior data scientists, fostering their growth and development.
• Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long term data strategy.
• Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating new technologies to improve data science practices.
Qualifications:
Required:
• 10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data driven decision-making
• Proficiency in data analysis tools and programming languages such as Python, R, or Julia
• Expert knowledge of machine learning algorithms and their applications
• Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn)
• Profound understanding of databases and data manipulation using SQL
• Outstanding problem-solving and critical thinking abilities
• Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders
• Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)
• Expertise in data ethics, privacy, and compliance considerations
Preferred:
• Master's or Ph.D. in a quantitative field preferred (e.g., Computer Science, Statistics, Mathematics, Engineering)
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Mindlance logo

About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999