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Machine Learning Engineer Opt Jobs in Louisiana (NOW HIRING)

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

$86K - $119K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

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Machine Learning Engineer Opt information

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They are sought after for their skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, and cloud platforms, making this a strong career choice for those with relevant expertise.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances because they develop and refine AI models, requiring specialized skills in programming, data analysis, and domain knowledge. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled tradespeople, are also expected to persist despite AI automation. Continuous learning and adapting to new tools and technologies will be essential for job security across many fields.

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

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and leadership responsibilities.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or tech, can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
What are popular job titles related to Machine Learning Engineer Opt jobs in Louisiana? For Machine Learning Engineer Opt jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Louisiana look for? The top searched job categories for Machine Learning Engineer Opt jobs in Louisiana are:
What cities in Louisiana are hiring for Machine Learning Engineer Opt jobs? Cities in Louisiana with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer

Machine Learning Engineer

SynergisticIT

New Orleans, LA

Other

Posted 20 days ago


Job description

Job Title

About Us: Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We don't just help you secure a Tech Job, but we build your solid career in technology.

Technical Skills
  • Python, Model Training/Testing
Primary Responsibilities
  • Working on the awesome AI product for document information extraction.
  • Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques.
  • Work with an international top-notch engineering team with full commitment on Machine Learning development.
Skills Required
  • Passionate about search and AI technologies. Open to collaborating with colleagues and external contributors.
  • Good understanding about the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization etc.
  • Skilled in the following programming languages: Python 3.
  • Good English skills especially for writing and reading documentation
Education Requirement
  • Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.
Benefits of Working with Our Clients
  • E-Verified.
  • Help to get H1b Employer
  • Long Term Positions
  • On Job Technical Support.

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you