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Ai Algorithm Engineer Jobs in Indiana (NOW HIRING)

Onebridge

AI Developer

Indianapolis, IN · On-site

Document solutions, algorithms, and processes to support knowledge sharing and maintainability ... AI Developer | Skills & Experience * 7+ years of experience in IT, software engineering, data ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Document solutions, algorithms, and processes to support knowledge sharing and maintainability ... AI Developer | Skills & Experience * 7+ years of experience in IT, software engineering, data ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

The AI Engineer is an experienced technical professional who bridges business strategy with AI ... Design, develop, and deploy machine learning models and algorithms from proof of concept through ...

Onebridge

AI Developer

Indianapolis, IN

Document solutions, algorithms, and processes to support knowledge sharing and maintainability ... AI Developer | Skills & Experience * 7+ years of experience in IT, software engineering, data ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Document solutions, algorithms, and processes to support knowledge sharing and maintainability ... AI Developer | Skills & Experience * 7+ years of experience in IT, software engineering, data ...

Onebridge

AI Developer

Indianapolis, IN · On-site

They are seeking a highly skilled AI Developer responsible for designing, developing, and deploying ... algorithms, and processes to support knowledge sharing and maintainability. • Monitor deployed ...

General Motors

Senior AI/ML Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ... Strong fundamentals in object-oriented design and design patterns , data structures , algorithms ...

GMV

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... algorithms to improve intelligent machine technology. DO YOU WANT TO BE PART OF OUR TEAM? If you ...

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

... other AI/ML development tools to design, implement, and optimize data models and algorithms ... Proven experience as a Data Analyst or Data Engineer, preferably with experience incorporating AI ...

Keystone

ML Engineer

Indianapolis, IN · On-site

... other AI/ML development tools to design, implement, and optimize data models and algorithms ... Proven experience as a Data Analyst or Data Engineer, preferably with experience incorporating AI ...

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Ai Algorithm Engineer information

How much do AI automation engineers make?

AI automation engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to have higher salaries.

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.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

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 does an AI algorithm engineer do?

An AI algorithm engineer designs, develops, and optimizes algorithms that enable machines to perform tasks such as learning, reasoning, and decision-making. They work with machine learning models, data processing, and programming languages like Python or C++, often using tools like TensorFlow or PyTorch, to create effective AI solutions. Strong analytical skills and knowledge of data structures are essential for this role.

What engineers make $500,000?

Senior AI algorithm engineers with extensive experience, advanced skills in machine learning, deep learning, and data science, and often working in high-demand industries or at leading tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role such as an AI research director, chief AI officer, or senior machine learning executive, often in large tech companies or financial institutions. These positions usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and may include leadership responsibilities and strategic decision-making.

What are AI Algorithm Engineers?

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 popular job titles related to Ai Algorithm Engineer jobs in Indiana? For Ai Algorithm Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Indiana look for? The top searched job categories for Ai Algorithm Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Algorithm Engineer jobs? Cities in Indiana with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you
AI Developer

AI Developer

Onebridge

Indianapolis, IN • On-site

Full-time

Posted 9 days ago

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled AI Developer to join our innovative and dynamic team.
AI Developer | About You
As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and innovation. You bring deep technical experience across IT systems along with focused expertise in AI and ML technologies. You are analytical, curious, and passionate about applying data-driven solutions to complex problems. You work closely with engineers, data scientists, and business stakeholders to translate requirements into scalable AI solutions. You continuously stay current with emerging AI technologies, frameworks, and best practices.
AI Developer | Day-to-Day
  • Design, develop, and implement AI and machine learning models to solve business and operational challenges.
  • Build, train, test, and deploy models using structured and unstructured data sources.
  • Collaborate with cross-functional teams to integrate AI solutions into existing applications and platforms.
  • Develop data pipelines, feature engineering processes, and model evaluation frameworks.
  • Optimize model performance, scalability, and reliability in production environments.
  • Document solutions, algorithms, and processes to support knowledge sharing and maintainability.
  • Monitor deployed models and continuously improve them based on performance metrics and feedback.

AI Developer | Skills & Experience
  • 7+ years of experience in IT, software engineering, data engineering, or a similar technical role.
  • 3+ years of focused experience designing and developing AI and machine learning solutions.
  • Strong experience with programming languages such as Python, Java, or similar languages used in AI development.
  • Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or equivalent.
  • Experience working with data processing, feature engineering, and model lifecycle management.
  • Familiarity with cloud platforms and AI services such as Azure, AWS, or Google Cloud.
  • Experience with MLOps practices, model deployment, monitoring, and version control is preferred.

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