Job Closed

This listing is no longer active.

iHorizons logo
iHorizons

The leading enterprise provider of business solutions and technology services in the Middle East.

Developer – Machine Learning

Machine Learning EngineerMachine Learning EngineerOtherRemoteSeniorTeam 51-200Since 1996H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

166 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishKerasPythonPyTorchSQLTensorFlow

Job Description

Developer – Machine Learning

iHorizons

• 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.

Job 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

Related Job Pages

More Machine Learning Engineer Jobs

HR POD - Hiring Talent Globally logo

Senior ML Engineer

HR POD - Hiring Talent Globally

Recruit > Revamp > Reskill - Make Your Next Hire, Your Best Hire

OtherRemoteTeam 11-50Since 2023H1B No Sponsor

• Design, prototype, research, and build AI systems for the Company. • Train, evaluate, and deploy ML models in Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs), and Multimodal Large Models (MLMs). • Improve the quality of the Company's AI Agents and RAG-as-a-service platform, including features such as agentic behavior, hallucination reduction/correction, and agent orchestration. • Publish technical blogs, research papers, and patents.

District of Columbia + 1 moreAll locations: District of Columbia | Washington
HR POD - Hiring Talent Globally logo

ML Engineer

HR POD - Hiring Talent Globally

Recruit > Revamp > Reskill - Make Your Next Hire, Your Best Hire

OtherRemoteTeam 11-50Since 2023H1B No Sponsor

• Design, prototype, research, and build AI systems for the Company. • Train, evaluate, and deploy ML models in Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs), and Multimodal Large Models (MLMs). • Improve the quality of the Company's RAG-as-a-service platform, including areas such as multilinguality, self-supervised learning, agentic behavior, and hallucination reduction. • Publish technical blogs, research papers, and patents.

District of Columbia + 1 moreAll locations: District of Columbia | Washington
OtherRemoteTeam 11-50Since 2000H1B Sponsor

• Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability. • Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation • Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs. • Raise the Bar – Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development.

United States
$140K - $190K / year
Job Closed
Part TimeRemoteTeam 5,001-10,000Since 1950H1B No Sponsor

• Support students with varying levels of knowledge • Translate technical content into simple, practical explanations • Deliver classes exclusively via synchronous remote instruction • Guide students through exercise solutions • Clarify doubts about logic and statistics, data manipulation, Machine Learning models, and Python libraries • Encourage analytical thinking and student autonomy • Maintain class engagement • Adapt the teaching approach to the participants’ pace • Relate learning to real market situations

Brazil
R$64 / hour