Senior Machine Learning Engineer

November 12

Apply Now

Receive Emails with Similar Jobs

Jesica.ai

WebsiteLinkedInAll Job Openings

Artificial Intelligence • Recruitment • Screening • Video Interviewing • Human Resource

2 - 10 employees

🤖 Artificial Intelligence

🎯 Recruitment

👥 HR Tech

Description

• Yalent is partnering with a leading AI start-up in the legal field to find a highly skilled Senior Machine Learning Engineer to join their engineering team. • In this role, you’ll directly support our client’s mission by developing and deploying innovative machine learning models, tackling complex data challenges, and enhancing their AI capabilities. • As a Senior ML Engineer, you’ll be essential to scaling our client’s technology and driving impactful solutions. • 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.

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

Benefits

• Competitive compensation packages with meaningful ownership • Unlimited PTO • 401k • Wellness benefits, including a bundle of free therapy sessions • Technology & Work from Home reimbursement • Flexible work schedules