Senior Machine Learning Engineer

Posted 3 months agoViewed

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💎 Seniority level: Senior, 4-5 years

📍 Location: United States

🔍 Industry: Audit and advisory

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B about 1 year agoArtificial Intelligence (AI)Document Management

🗣️ Languages: English

⏳ Experience: 4-5 years

🪄 Skills: AWSPythonSQLETLGitMachine LearningNumpyData sciencePandasTensorflowCI/CDA/B testing

Requirements:

4-5 years of experience in applied machine learning or related field
Strong proficiency in Python and its ML/data science libraries
Extensive experience with NLP techniques and generative AI technologies
Experience with LLMs and both text-to-text and text-to-image generative models
Proficiency in working with large datasets and creating ETL processes
Experience with version control systems (e.g., Git) and CI/CD practices
Ability to work in a fast-paced, changing startup environment

Responsibilities:

Collaborate with stakeholders to identify and map business problems to ML solutions
Design, develop, and implement ML models with a focus on NLP and generative AI applications
Curate, clean, and prepare data for model development and training
Create and maintain ETL jobs for data processing
Conduct rapid prototyping of ML solutions to quickly iterate on ideas
Stay current with the latest advancements in ML, particularly in NLP and generative AI
Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
Implement data flywheels to continuously improve ML features through increased usage
Define and implement ML performance metrics
Contribute to the product roadmap with ML-driven feature ideas
Be an essential technical contributor at a Series B-stage company as it scales

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