Developer – Machine Learning
iHorizons
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudKerasPythonPyTorchSQLTensorflow
About the role
- You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models.
- Design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.
- Work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.
- Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.
Requirements
- Bachelor's degree in data science, statistics, and computer science is a MUST.
- Google Cloud - Professional Machine Learning Engineer Certificate
- Google AgentSpace implementation experience
- 3-4+ Years of experience in data science or machine learning.
- Must have strong experience in at least one of the following areas: Vision models, NLP models (Experience in Arabic NLP is a huge plus)
- Proficient in python, TensorFlow, keras and pytorch.
- Good experience in: SQL and non-relational databases.
- Data analytics reports generation.
- ML model development deployment.
Benefits
- Health insurance
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningdata sciencepythonTensorFlowkeraspytorchSQLnon-relational databasesdata analytics
Soft skills
collaborationcommunicationpresentation
Certifications
Professional Machine Learning Engineer Certificate