A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging ...
Junior Machine Learning Engineer
Melbourne, FL · On-site
$65K - $106K/yr
Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...
Junior Machine Learning Engineer
Melbourne, FL · On-site
$65K - $106K/yr
Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...
Manufacturing Engineer - Automation & Digitalization
Gibsonton, FL · On-site
$73K - $94K/yr
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging ...
Manufacturing Engineer - Automation & Digitalization
Gibsonton, FL · On-site
$73K - $94K/yr
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging ...
As an inaugural engineer at Persona, you will have an incredible opportunity to shape the design of ... deep learning techniques for manipulation. * Experience with computer vision algorithms, sensors ...
As an inaugural engineer at Persona, you will have an incredible opportunity to shape the design of ... deep learning techniques for manipulation. * Experience with computer vision algorithms, sensors ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging ...
Our team creates cutting-edge machine-learning and computer-vision solutions that enable safe ... Design, implement, and test deep-learning object-detection and classification pipelines, including ...
Our team creates cutting-edge machine-learning and computer-vision solutions that enable safe ... Design, implement, and test deep-learning object-detection and classification pipelines, including ...
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Apply AI/ML ( deep learning, natural language processing, large language models ) to practical and ... Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML ...
Apply AI/ML ( deep learning, natural language processing, large language models ) to practical and ... Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML ...
Temporary Computer Vision Deep Learning Engineer information
Can I learn ML in 3 months?
A Temporary Computer Vision Deep Learning Engineer typically requires a strong understanding of machine learning concepts, programming skills in Python, and experience with frameworks like TensorFlow or PyTorch. While it is possible to learn foundational skills in three months with intensive study, gaining proficiency for a professional role usually takes longer and involves practical experience and project work.
What is the difference between Temporary Computer Vision Deep Learning Engineer vs Computer Vision Engineer?
| Aspect | Temporary Computer Vision Deep Learning Engineer | Computer Vision Engineer |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, AI, or related; experience with deep learning frameworks | Bachelor's or Master's in CS, AI, or related; experience with computer vision tools |
| Work Environment | Project-based, short-term contracts, often in tech or research firms | Full-time, ongoing roles in tech companies, startups, or research labs |
| Industry Usage | Common in consulting, research projects, or temporary assignments | Standard role in product development, AI solutions, and software engineering |
The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.
Is ML a high paying job?
Machine learning (ML) roles, including positions like a computer vision deep learning engineer, are generally well-paid due to high demand for specialized skills in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles tend to offer above-average compensation compared to many other tech jobs.
Is computer vision a dead field?
Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. For a Temporary Computer Vision Deep Learning Engineer, skills in deep learning frameworks such as TensorFlow or PyTorch and knowledge of image processing are essential, and demand continues to grow as technology advances.
What engineers make $500,000?
Senior engineers in specialized fields such as software, data science, or machine learning can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like senior software engineers, machine learning engineers, and data scientists working in tech companies or finance often reach this compensation level through base salary, bonuses, and stock options.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Florida? The most popular types of Computer Vision Deep Learning Engineer jobs in Florida are:
What are popular job titles related to Temporary Computer Vision Deep Learning Engineer jobs in Florida? For Temporary Computer Vision Deep Learning Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Temporary Computer Vision Deep Learning Engineer jobs in Florida look for? The top searched job categories for Temporary Computer Vision Deep Learning Engineer jobs in Florida are:
What cities in Florida are hiring for Temporary Computer Vision Deep Learning Engineer jobs? Cities in Florida with the most Temporary Computer Vision Deep Learning Engineer job openings:
Full-time
Medical, Retirement, PTO
Posted 11 days ago
Siemens Energy rating
8.2
Based on 84 frontline employees who took The Breakroom Quiz
94th of 418 rated machine equipment manufacturers
Job description
A Snapshot of Your Day
As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy, you'll support the BVT (Blades & Vanes) Expansion project within the Operations Tampa manufacturing facility. The primary business objective is to leverage advanced automation and artificial intelligence to enhance operational efficiency, increase productivity, and support the growth of the manufacturing capabilities. To achieve these goals, this role will concentrate on three core areas: the development and deployment of AI and machine learning solutions tailored for manufacturing processes, the design and implementation of robust automation workflows, and the management of the underlying data infrastructure required to support these systems. This focus ensures that digitalization efforts are directly applied to tangible operational improvements, from quality control to predictive maintenance. Given the focus on applying advanced technology in an industrial setting, the ideal candidate will possess significant experience in AI/ML engineering combined with a strong understanding of manufacturing environments. Key requirements include advanced proficiency in programming and data management, experience with ML frameworks, and a proven ability to independently manage complex technical projects from conception to integration.
How You'll Make an Impact
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. Click here to read more .
As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy, you'll support the BVT (Blades & Vanes) Expansion project within the Operations Tampa manufacturing facility. The primary business objective is to leverage advanced automation and artificial intelligence to enhance operational efficiency, increase productivity, and support the growth of the manufacturing capabilities. To achieve these goals, this role will concentrate on three core areas: the development and deployment of AI and machine learning solutions tailored for manufacturing processes, the design and implementation of robust automation workflows, and the management of the underlying data infrastructure required to support these systems. This focus ensures that digitalization efforts are directly applied to tangible operational improvements, from quality control to predictive maintenance. Given the focus on applying advanced technology in an industrial setting, the ideal candidate will possess significant experience in AI/ML engineering combined with a strong understanding of manufacturing environments. Key requirements include advanced proficiency in programming and data management, experience with ML frameworks, and a proven ability to independently manage complex technical projects from conception to integration.
How You'll Make an Impact
- Design, develop, and deploy machine learning models for manufacturing applications, including predictive maintenance, process optimization, and quality control.
- Apply computer vision techniques to automate visual inspection tasks and enhance defect detection accuracy on the production line.
- Train, validate, and optimize AI models using data sourced from manufacturing equipment and operational systems.
- Research and implement advanced AI/ML methodologies, such as deep learning and generative AI, to address complex manufacturing challenges.
- Analyze existing manufacturing workflows to identify and prioritize opportunities for digitalization and automation.
- Develop and implement automation scripts and solutions to streamline repetitive tasks and improve operational throughput.
- Integrate AI/ML models and digital tools into production systems, MES platforms, and equipment using APIs and other integration technologies.
- Manage automation project lifecycles from requirements gathering through deployment and post‑implementation support.
- Build and maintain scalable data pipelines for collecting, cleaning, and processing high‑volume industrial data.
- Implement MLOps practices to establish CI/CD pipelines for machine learning models, ensuring reliable deployment and monitoring.
- Ensure data governance, quality, and integrity for all datasets used in AI training and operational analytics.
- Collaborate with IT and OT teams to manage both cloud and on‑premise infrastructure supporting AI development and deployment.
- Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.
- 5+ years of professional experience in developing and implementing AI, machine learning, or automation solutions.
- Demonstrated experience applying AI/ML in an industrial, manufacturing, or operational technology (OT) environment is highly preferred.
- Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging generative AI approaches.
- Strong technical capabilities in Python, SQL, automation, software engineering concepts, and integrating applications through APIs.
- Demonstrated analytical, troubleshooting, and collaborative skills to support complex technical problem‑solving in cross-functional environments.
- Candidates with more experience can be considered for a higher level or vice versa.
- Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
- This position will require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position. The candidate must be able to work with export-controlled technology in accordance with US export control law.
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards
- Career growth and development opportunities
- Supportive work culture
- Company paid Health and wellness benefits
- Paid Time Off and paid holidays
- 401K savings plan with company match
- Family building benefits
- Parental leave
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. Click here to read more .
What Siemens Energy employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Siemens Energy
Sourced by ZipRecruiter
Company size
10,000+ Employees