עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
What youll do:
Shape the technical foundation: As our first ML hands on hire, choose and establish the team's core technology stack, frameworks, and development practices together with the ML leader
Build from the ground up: Design and implement our initial ML infrastructure, data pipelines, and model deployment frameworks
Define technical standards: Establish coding standards, best practices, and processes that will guide future team members
Hands-on development: Lead by example through direct development and deployment of ML models and data science solutions
Partner with stakeholders: Work closely with business teams to identify initial ML opportunities and build foundational proof-of-concept models
Establish MLOps practices: Set up our model development, testing, deployment, and monitoring workflows from scratch
Recruit and onboard: As the team grows, play a key role in technical interviews and help onboard new ML engineers and data scientists
Create team culture: Help establish the team's technical culture, learning practices, and collaboration methods
Technology evaluation: Research and select the tools, platforms, and technologies that will form our ML tech stack
Document and share knowledge: Create foundational documentation and knowledge-sharing practices for the growing team.
6+ years of hands-on experience in Machine Learning, Data Science, or related technical roles in the industry
Entrepreneurial mindset: Excited about building something new and comfortable with the ambiguity of a startup-like environment within a larger company
Proven track record of building and deploying machine learning models in production environments
Technology leadership experience: History of making technical stack decisions and establishing development practices
Strong proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, SQL)
Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools and practices
Team building skills: Ability to establish technical culture and practices that will scale with team growth
Excellent communication skills with ability to explain technical concepts to stakeholders and influence technical decisions
Self-starter mentality: Comfortable taking ownership, making decisions, and driving initiatives independently
Master's degree in Computer Science, AI, Data Science, Mathematics, or related quantitative field- PhD is a plus
Experience in fintech or financial services is a plus
Bonus: Experience being a founding engineer or early hire in a technical team.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.