Onward Search is a specialized staffing and talent solutions company that connects professionals with top-tier opportunities at leading brands. We’re looking to hire a Machine Learning Engineer for a leading global fintech company. Join us to leverage the power of Machine Learning and AI to enhance Compliance controls and operations on a global scale.
You’ll join the Compliance Technology team to develop and operationalize Machine Learning and Large Language Models (LLMs) that advance our compliance capabilities. This is a 4-6 month contractopportunity. The role is located in San Francisco, and is fully remote.
Machine Learning Engineer Responsibilities:
- Develop and Productionize Models: Hands-on development, production, and operation of Machine Learning and LLM models and pipelines at scale.
- Contribute to Compliance ML Models: Work on ML models for Compliance, focusing on the integration of Machine Learning and LLM technologies.
- Collaborate with Teams: Partner with senior engineers, compliance stakeholders, and other teams to identify and address new use cases for ML and AI to enhance Compliance controls and operations.
Machine Learning Engineer Skills Must Haves:
- Expert Python Proficiency: Extensive experience developing, testing, and maintaining complex Python applications, with a strong grasp of both mathematical and conceptual aspects of machine learning.
- Deep ML Knowledge: In-depth understanding of machine learning techniques and concepts, including supervised and unsupervised learning, and practical experience with DNNs in scikit-learn and PyTorch.
- LLM Expertise: Familiarity with Large Language Models, including Transformers, Prompt Engineering, Fine-Tuning, and Retrieval-Augmented Generation (RAGs).
- API Development: Experience with FastAPI (with asyncio) and other Python API development frameworks.
Nice to Haves:
- Additional Tools: Familiarity with Ray, Databricks, Snowflake, and Golang.
Past Experience:
- ML Algorithm Development: Experience in developing ML algorithms in both offline and production environments.
- API Development for ML Models: Proven experience in developing APIs in Python to serve ML models.
- LLM Experience: Experience working with Large Language Models.
Education:
- BA/BS Degree: Degree in a quantitative field (e.g., Math, Statistics, Physics, Quantitative Finance, Computer Science) with 3+ years of relevant experience, or
- Master’s Degree: Degree in a related field with 2+ years of relevant experience, or
- Ph.D. Degree: Degree in a related field with 1+ years of relevant experience.
Perks & Benefits:
- Medical, Dental, and Vision Insurance
- Life Insurance
- 401k Program
- Commuter Benefit
- eLearning
- Education Reimbursement
- Ongoing Training & Development
To qualify for our benefits package, you must work over 30 hours per week and the length of assignment must be a minimum of 10 weeks.
Accepting Applications until September 14th, 2024
To learn more about this Machine Learning Engineer opportunity, apply now. Our recruitment team will be in touch, guide you through the interview process, and advocate on your behalf.
#J-18808-Ljbffr
