ML Engineer

FIDELITY LLC
Westlake, TX, United States
2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Amazon Elastic Compute Cloud Data Analysis Health Informatics Cloud Computing Computer Programming Databases Elasticsearch
+19 more
Python (Programming Language) PostgreSQL Machine Learning Performance Tuning Ansible Standard Sql Software Engineering Apache Solr Cloud Platform System Feature Engineering Flask (Web Framework) Snowflake Prompt Engineering Generative AI Fastapi Search Engines Api Design Terraform Data Pipelines

Job description

The Workplace Investing AI Delivery Engineering Chapter team is seeking a Machine Learning / Gen AI engineer to design, implement, and improve technical solutions for Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development. We are looking for an outspoken technologist with a deep passion for data and application design to help build AWS based Gen AI solutions.

Requirements

  • 5+ years hands on development experience in Machine Learning System.
  • Experience with working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering and Fine tuning.
  • Strong programming skills in Python, Java.
  • Solid experience with developing python-based APIs required (FastAPI / Flask).
  • Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference.
  • Design and develop machine learning and deep learning systems using appropriate ML algorithms / frameworks.
  • Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT).
  • Proven work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.
  • Work with data to create models and perform statistical analysis, train and retrain models to optimize performance.
  • Run machine learning tests and experiments.
  • Experience with search engine platforms like Apache SOLR, Elastic Search or OpenSearch would be a big plus.
  • Superior SQL skills and experience performing deep data analysis on multiple database platforms.
  • Bachelor’s Degree or equivalent experience.

About the company

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process.

Fidelity TalentSource, is the in-house temporary staffing provider for Fidelity Investments. Unlike traditional staffing agencies, we are an internal business unit within Fidelity’s Talent Acquisition team, dedicated to recruiting talent from various backgrounds for roles in Fidelity’s regional and investor center locations. Our mission is to help you experience Fidelity’s diverse and inclusive workplace while expanding your skill set and professional network, with the ultimate goal of conversion to full-time employment as part of Fidelity’s long-term strategy.

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