AddressEngineer with a deep learning focus to develop efficient artificial intelligence systems that enhance our predictive and generative automation capabilities. The ideal candidate will possess extensive expertise in machine learning, deep learning, and programming, coupled with a proven ability to assess, analyze, and organize large volumes of data. You will join a team responsible for creating deep learning processes from conceptualization through R&D to productization. The successful candidate will stay abreast of the latest advancements in AI/ML technology and exhibit strong analytical and problem-solving skills, as well as a keen attention to detail.
Essential Duties and Responsibilities:
- Use your understanding of machine learning to tackle meaningful technical problems
- Collaborate with ML Architect and product development teams to build machine learning products
- Prototype and implement appropriate ML algorithms, tools, and pipelines
- Create and manage training and deployment pipelines
- Collaborate with a cross-functional team about market requirements and best practices
- Keep abreast of developments in the ML field
Job Skills:
- Use your understanding of machine learning to tackle meaningful technical problems
- Collaborate with ML Architect and product development teams to build machine learning products
- Prototype and implement appropriate ML algorithms, tools, and pipelines
- Create and manage training and deployment pipelines
- Collaborate with a cross-functional team about market requirements and best practices
- Keep abreast of developments in the ML field
- Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of OSS LLMs, NLP, speech, reinforcement learning, generative models, etc
- Knowledge of common ML frameworks (like PyTorch or Keras) and libraries (like NumPy and scikit-learn)
- Strong programming skills with proven experience implementing Python-based machine learning solutions
- Experience with engineering and supporting ML pipelines in a popular ML framework such as PyTorch, TensorFlow, jax, vLLM, etc
- Experience with engineering and maintaining training and/or deployment pipelines for Generative models / NLG / LLMs
- Ability to interpret and implement research ideas and algorithms
- Creative, collaborative, and innovation-focused
- Strong sense of project ownership and personal responsibility
- Implement and integrate APIs for various NLP models into our autonomous agent system
Work Experience:
- 2 years for Bachelors , 0 years for Masters
Education:
- Bachelor’s in computer science, electrical engineering, system analysis or a related field of study
- Preferred - master’s in computer science, electrical engineering, system analysis or a related field of study.
Certificates, licenses and registrations:
- Exposure to Google cloud technologies.
Other:
- Must be able to travel % of time.
- Must be able to lift lbs.
- Typical office setting.
- Mobility within the office including movement from floor to floor.
- Travel via plane, car, and metro may be required to perform this job.
- Must be able to work more than 40 hours per week when business needs warrant
- Access information using a computer.
- Effectively communicate, both up and down the management chain.
- Effectively cope with stressful situations
- Strong mental acuity
- Regular, dependable attendance and punctuality are essential functions of this job.
- Other essential functions and marginal job functions are subject to modification.
SEI is an Equal Opportunity employer committed to a diverse and inclusive community. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary and benefits package. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.
If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.
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