A.I. Engineer

$84,686 - $142,636/Yr

Ameritas Life Insurance Company - Lincoln, NE

posted 3 months ago

Part-time,Full-time - Mid Level
Lincoln, NE
Wood Product Manufacturing

About the position

This position specializes in developing cutting-edge Generative AI solutions that harness the power of natural language processing (NLP), natural language understanding (NLU), and computer vision. The A.I. Engineer will be responsible for designing and implementing advanced machine learning models, with a strong focus on language models. The role involves creating algorithms that extract meaningful insights from diverse data sources, enabling informed decision-making across the organization. At Ameritas, our mission is Fulfilling Life. We do that in many ways, but especially by helping people invest in themselves by offering trusted financial products and advice. Because we believe everyone should be happy, healthy, and financially secure, we work hard to provide trusted financial products and valued guidance, including individual life and disability insurance, employee benefits, retirement planning, investments, and wealth management services. This role could be hybrid (Lincoln, NE) or remote based on proximity to an office location. Hybrid in Lincoln, NE would be the preference. The A.I. Engineer will design and develop A.I. solutions using a variety of open source, closed source, and commercial tools. They will fine-tune and train existing base models, implement RAG solutions, and provide technical expertise for language model architectures. Participation in the A.I. development life cycle using best practices and standards is essential. The engineer will work with management, participating in discussions around future direction for current and new technologies and how they will be utilized. Close collaboration with management and business unit stakeholders is necessary to ensure alignment with enterprise business plans and strategic initiatives. The engineer will also participate in complex projects during design, development, and implementation, both as an individual contributor and as a lead team member. Additionally, they will create and review technical documents for projects and systems, ensuring that documents are kept up to date. Working closely with other technical team members to ensure functional requirements translate completely and correctly into the technical design is crucial. The engineer will plan, organize, and execute projects of varying complexity, within specified timeframes and budget, and may lead small to medium-sized development projects or programs.

Responsibilities

  • Design and develop A.I. solutions using a variety of open source, closed source, and commercial tools.
  • Fine tune and train existing base models, implement RAG solutions, and provide technical expertise for language model architectures.
  • Participate in the A.I. development life cycle using best practices and standards.
  • Work with management, participating in discussions around future direction for current and new technologies and how they will be utilized.
  • Work closely with management and business unit stakeholders to ensure alignment with enterprise business plans and strategic initiatives.
  • Participate in complex projects during design, development, and implementation, both as an individual contributor and as a lead team member.
  • Create and review technical documents for projects and systems, ensuring that documents are kept up to date.
  • Work closely with other technical team members to ensure functional requirements translate completely and correctly into the technical design.
  • Plan, organize, and execute projects of varying complexity, within specified timeframes and budget.
  • May lead small to medium sized development projects or programs.

Requirements

  • Bachelor's degree or equivalent combination of education and experience required.
  • 3-5 years of overall related experience required.
  • 1 year of experience with Generative AI, small & large language model architectures, neural networks, computer vision, deep learning, language models, or transformers.
  • Strong programming skills in Python and experience using AI frameworks like TensorFlow, Pytorch, etc.
  • A solid understanding of machine learning and GenAI workflows including ingesting data, analyzing and transforming data, and evaluating the results for meaningful outcomes.

Nice-to-haves

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with data visualization tools and techniques.
  • Knowledge of financial services or insurance industry.

Benefits

  • Comprehensive health and welfare benefits including competitive pay and incentives.
  • 401(k) plan with company contributions.
  • Flexible work schedules.
  • Time off to care for yourself and others.
  • Tuition reimbursement and student loan repayment.
  • Incentivized well-being program.
  • Adoption assistance.
  • Paid time off for volunteering.
  • Training and career development opportunities.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service