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Founding Product Engineer

posted by: spj_bot

Founding Product Engineer (AI Consumer Outreach)

Location: Remote, USA

Employment Type: Full-time

Work Arrangement: Fully Remote

About the Role

Our client is a US consumer outreach and prospecting platform that is redefining how brands find and engage new customers. Their platform leverages 11 billion datapoints and 240 million US consumer prediction profiles to provide intelligent automated matching and multi-touch B2C outreach. The company recently raised $5 million in funding.

They are seeking a Founding Product Engineer to build and ship full-stack features that power their AI-driven outreach platform. This is a high-impact, hands-on role where you'll lay the foundation of the entire technology stack, influence product direction, and turn massive datasets into real customer impact.

What You'll Do

Job Skills

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Senior Data Scientist - Octopus - Immediate hire

posted by: spj_bot

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Scientist for one of our partner organizations in KSA on a 1-year contract, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Job Skills

a b testing regulatory compliance leadership experimental design unstructured datum ul xgboost research artificial intelligence big datum sql data pipeline dashboards feature engineering computer science lifecycle management claim governance cloud native translate json analytical bigquery data engineering pytorch apply statistic statistical method long term python prediction model development collaborate reliable natural language processing best practices arm statistics mathematics tensorflow innovation engineer aws certified machine learn communication skills automated sagemaker scikit learn technical documentation analytics techniques claims data science google cloud deep learning outsourcing statistics experimentation financial service real time use cases computer vision validate machine learning e databricks track
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Member of Technical Staff - Model Engineer

posted by: spj_bot

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site (minimum 3 days per week)

About the Role

Our client, a venture-backed company aiming to revolutionize the networking industry by creating a vertically integrated infrastructure provider, is seeking a Model Engineer to join their founding core AI team. This is a high-impact role focused on transforming a market with hundreds of billions in revenue by applying cutting-edge machine learning to internet infrastructure.

You will be responsible for the full lifecycle of model development, from data to production deployment, and will directly collaborate with founders to define technical vision and team culture.

What You'll Do

Job Skills

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AI/ML Engineer

posted by: spj_bot

Being one of the most tech driven shipping companies, we are seeking an AI Specialist with expertise in Machine Learning and Large Language Models (LLMs) to join our Digital Transformation team. You will design and implement AI solutions, fine-tune models like GPT, and build intelligent systems that enhance business processes through automation and advanced analytics.

  • Define AI strategies aligned with business goals (e.g., automation, prediction)
  • Lead development and fine-tuning of ML/LLM models for industry-specific use cases
  • Build full ML pipelines: preprocessing, training, evaluation, deployment
  • Develop intelligent agents and autonomous AI workflows
  • Monitor models for drift and optimize performance as needed
  • Report on performance and recommend retraining or tuning
  • Document solutions for smooth internal adoption
  • Ensure compliance with data privacy and AI governance standards
  • Stay updated on AI trends, tools, and best practices

Requirements

Job Skills

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