data science • big data • visual analytics • machine learning • cloud analytics
51 - 200 employees
🤖 Artificial Intelligence
🎮 Gaming
📡 Telecommunications
💰 Private Equity Round on 2023-03
November 6
data science • big data • visual analytics • machine learning • cloud analytics
51 - 200 employees
🤖 Artificial Intelligence
🎮 Gaming
📡 Telecommunications
💰 Private Equity Round on 2023-03
• As Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. • We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. • Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. • We are currently expanding our team in the Americas and are looking to hire a Pod Lead to oversee a growing team of Engineers covering ML Engineering and Data Science. • Provide technical leadership and guidance to the ML team, ensuring best practices and adherence to industry standards. • Recruit, hire, and onboard talented data scientists and machine learning engineers. • Build strong relationships with clients and understand their business needs and challenges. • Participate in the sales process as the sales engineer by designing robust and scalable ML solutions.
• Demonstrated leadership and management experience of technical employees. • 5+ years of experience in machine learning and data science, with a strong track record of delivering successful projects. • Strong problem-solving and analytical skills. • Proven experience leading and mentoring teams of data scientists and machine learning engineers. • Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. • Strong software engineering skills with a focus on machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and cloud platforms, especially Google Cloud Platform (GCP). • Passion for data and a desire to solve real-world problems using machine learning.
• 20 days paid vacation + 5 days of paid leave when the company closes (holiday season) • 5 Wellness days (sickness, personal time, etc) • Group Retirement Savings Plan with matching contribution • Group insurance (extended health & dental) - individual premium paid 100% • 100% employer-paid Tele-medicine • Home office budget - We are 100% remote • CAD $70/month (paid quarterly) for internet/phone expenses • CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1 • Company-supplied MacBook Pro • CAD $400/year for books (including a reading device if you need one) • Opportunities for paid certifications • Full access to Udemy Business for professional and personal learning • Regular company off-sites and meetups
Apply NowAugust 14
Build and optimize machine learning products to enhance Narvar's platform.
August 14
Architect and optimize ML inference platforms for various models and innovative solutions.
June 13
🇨🇦 Canada – Remote
💰 $240M Private Equity Round on 2021-11
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
June 5
🇨🇦 Canada – Remote
💵 $185.5k / year
💰 $21.4M Post-IPO Equity on 2022-11
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
Python
Web3