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Ai Algorithm Engineer Jobs in Baton Rouge, LA (NOW HIRING)

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Ai Algorithm Engineer information

See Baton Rouge, LA salary details

$57.1K

$107.2K

$194.9K

How much do ai algorithm engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai algorithm engineer in Baton Rouge, LA is $107,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $127,200.00 per year, depending on experience, location, and employer.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.

What are popular job titles related to Ai Algorithm Engineer jobs in Baton Rouge, LA?

For Ai Algorithm Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Ai Algorithm Engineer jobs in Baton Rouge, LA look for?

The top searched job categories for Ai Algorithm Engineer jobs in Baton Rouge, LA are:

Ai Algorithm Engineer jobs near you
Infographic showing various Ai Algorithm Engineer job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $107,193 per year, or $51.5 per hour.

VP, Machine Learning Engineer, Enterprise AI, Innovation Group

Central, LA • On-site

UOB
See more jobs at UOBexternal

$120 - $150/hr

Other

Posted 20 days ago

Job description

## VP, Machine Learning Engineer, Enterprise AI, Innovation GroupApplyremote type: Onsitelocations: Central Region (City Area)time type: Full timeposted on: Posted 7 Days Agojob requisition id: JR88245Company: 1011 United Overseas Bank Ltd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.**Job Description****About the Department**Enterprise AI (EAI) focus on delivering AI and machine learning models developed in collaboration with business and support units, and driving the adoption of GenAI self-help across the Bank for value creation. EAI will spearhead the AIDA Center of Excellence, as well as own and manage the enterprise AI platforms.**Role Overview**UOB Enterprise AI is looking for an experienced and innovative AI Platform Specialist to join the dynamic team.You will be expected to play an integral role in shaping and executing our AI strategy and enterprise AI platform, leverage your expertise in ML algorithms, architectures, and best practices to design, develop, and deploy high-impact AI solutions that solve real-world banking challenges and create significant value for the enterprise.**Key Responsibilities:*** Partner with group technology to develop and enhance enterprise AI platform and operation to help drive AI industrialization within the bank.* Act as AI platform SME and work closely with data scientists, IT engineers and business stakeholders to understand the business needs, develop end-to-end ML solutions, and deploy into production environment.* Design and develop re-useable assets, libraries, frameworks, and ML tools to accelerate model development and platform management.* Collaborate with technology team to adopt best-in-class industry practices to streamline model deployment processes.* Build and optimize data and ML pipeline to ensure robust and high-quality data feed for both model training and operation.* Develop appropriate tools/apps/UIs to complete AI products for business stakeholders.* Stay ahead of industry trends, emerging technologies, and best practices to drive continuous improvement AI/ML process in UOB.**Key Requirement:*** Bachelor’s or advanced degree in computer science, data science, software engineering or related fields.* Minimum 8 years of experience as an ML Engineer or similar role, with proven track record of developing and deploying ML solutions into production environment.* In-depth knowledge of ML algorithms, development tools, model life cycle and deployment patterns.* Hands-on experience of data management technology, including Hadoop, Sparks, ETL, relational & non-relational databases.* Proficiency in programming languages such as Python, Java or Scala.* Experience in on-premises and cloud-based AI platforms and technologies; familiar with DevOps and CI/CD practices.* Strong communication skills and able to convey/articulate complex technical concepts to non-technical stakeholders.* Working experience in banking/financial sector is a plus.## **Additional Requirements**University-BachelorBe a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. #J-18808-Ljbffr

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