At a Glance
- Tasks: Design and train ML models to optimize marketing campaigns and enhance AI capabilities.
- Company: Join a forward-thinking company revolutionizing marketing with AI solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in marketing innovations using advanced machine learning techniques.
- Qualifications: 4+ years in ML engineering or data science with skills in Python, PyTorch, or TensorFlow.
The predicted salary is between 110000 - 145000 $ per year.
Join us as a Full-Time AI & Machine Learning Engineer, working remotely with a salary between $110,000 and $145,000.
Play a key role in building ML pipelines and integrating AI into our marketing solutions.
This role is perfect for candidates with 4+ years of experience in ML engineering or data science.
You'll be tasked with designing and training ML models for campaign optimization while maintaining oversight on performance.
Collaborate with the product team to shape our AI capabilities with your technical skills in Python, Py Torch, or Tensor Flow.
Key Responsibilities: • Design ML models focused on campaign optimization • Monitor and adjust model performance as required • Collaborate with product staff to set AI direction
Requirements
- Minimum 4 years in ML engineering or data science
- Experienced in Python, Py Torch, or Tensor Flow
- Background in deploying models in production
- Strong foundation in statistics
Contribute to our marketing innovations through advanced ML solutions in this remote role. #J-18808-Ljbffr
AI & Machine Learning Engineer in Winnipeg employer: TekValley
Join a forward-thinking company that prioritizes innovation and employee growth in the AI and Machine Learning space. With a remote-first culture, generous learning budgets, and stock options, we empower our team to thrive while contributing to cutting-edge projects that shape the future of marketing technology. Experience a collaborative environment where your expertise in ML engineering will directly impact our product's success and your professional development.
