Overview
Skills
Job Details
Greetings!
We are actively Hiring a Machine Learning Engineer Position. This is a contract opportunity with one of our clients. I have attached the job descriptions below for your review.
Position: Machine Learning Engineer
Location: Davis, California 95616
Duration: Long-Term Contract
JOB Description
- 3+ years of professional experience as a Machine Learning Engineer
- Experience designing, developing, deploying, and supporting machine learning models and platforms for medium to large sized projects
- Experience with the full Software Development Life Cycle (SDLC) of ML models in production
Experience with core ML algorithms including:
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forests
- Support Vector Machines (SVMs)
- Naive Bayes
- Neural Networks
- Clustering
- Dimensionality Reduction
- Natural Language Processing (NLP) Programming Languages & Frameworks
- Strong programming experience in Python
- Prefer experience with web development in JavaScript
- Prefer experience developing mobile applications
ML domain: Natural Language Processing, Computer Vision, Recommendation Systems, Forecasting, Classification
Tools & Platforms: Elasticsearch, Kubernetes, Docker, Redis, Apache Kafka, Apache Spark, SQL, NoSQL, Infrastructure as Code (IaC), AWS Lambda Cloud Computing Platforms
Experience with one or more of: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (Google Cloud Platform)CI/CD and DevOps
Experience building CI/CD pipelines using: GitHub Actions, TravisCI, Other CI/CD tools
Collaboration and Communication: Strong oral and written communication skills, Ability to interact with both technical and nontechnical stakeholders, Able to translate business requirements into technical solutions and documentation
Security and Privacy: Understanding and application of data privacy and security standards in development
Education:
- Bachelor s degree in computer science, Engineering, Mathematics, or Information Systems Equivalent combination of education and experience also considered.
Thanks & Regards
Daniel Sapna
Sr. Talent Acquisition Specialist
Office Num:
Email:
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