GE
GetinzAI/ML Engineer
Innovation Engineer responsible for AI - driven solutions at a digital commerce company. Focused on prototyping, exploring technologies, and shaping technology strategy.
About the role
- Design, develop, and implement machine learning models and algorithms to solve complex business problems.
- Use software design principles to develop production ready code.
- Collect, preprocess, and analyze large datasets to train and evaluate machine learning models.
- Optimize and fine-tune machine learning models for performance and accuracy.
- Deploy machine learning models into production environments and monitor their performance.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
- Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders.
- Mentor and provide guidance to junior Machine Learning Engineers.
Requirements
- Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
- 5+ years of industry experience in writing production level, scalable code (e.g. in Python)
- 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning
- 4+ years of industry experience with distributed computing frameworks such as PySpark
- 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.).
- 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP
- 1 + years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock.
- Experience in building Agentic AI applications.
- 2+ years of technical leadership leading junior engineers in a product development setting
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible working arrangements
- Professional development opportunities
- Bonuses
- Stock options
- Equipment allowances
- Wellness programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior ML Engineer developing scalable machine learning systems for FOX advertising platform. Collaborating on ML solutions that optimize ad personalization and monetization.
RI
RiverlaneSenior AI / ML Engineer
Senior AI/ML Engineer developing machine learning tools for quantum error correction at Riverlane. Collaborating with researchers to deliver innovative AI solutions in quantum computing.
Applied Machine Learning Scientist validating Generative AI models for TD. Responsible for model validation and communicating findings to stakeholders while fostering collaborations.
Senior Software Engineer developing machine learning geospatial products for Planet. Collaborating with engineers and scientists on innovative remote sensing analytics.
PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
NO
NokiaAI/ML Engineer
AI/ML Engineer developing and deploying machine learning solutions for Nokia's network optimization projects. Collaborating with cross - functional teams to enhance network planning capabilities.
Machine Learning Platform Engineer for Coinbase, building foundational components for ML at scale. Collaborating on fraud combat, personalizing user experiences, and blockchain analysis.
CO
Machine Learning Engineer focused on building sophisticated models to protect Coinbase users from fraud. Engaging in hands - on technical role with modern AI/ML methodologies.
Senior ML Platform Engineer developing and maintaining scalable ML infrastructure at GEICO. Focused on Large Language Models and collaborating with data science and engineering teams.