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Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 2017H1B No SponsorCompany SiteLinkedIn

Location

Colorado

Posted

6 days ago

Salary

$1,200K - $1,500K / year

Bachelor Degree2 yrs expEnglishETLPythonPy Torch

Job Description

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. • Develop and maintain backend services using Python, focusing on AI-driven applications. • Design and implement APIs for seamless integration with AI models and services. • Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development • Participate in code reviews, testing, and quality assurance processes. • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. • Document and communicate development processes and implementation details with peers and supervisors • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Job Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus.
  • Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
  • Proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus.
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
  • Good written communication skills that enable collaboration in a remote environment.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

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