Senior AI/ML Engineer

Summary

Join Intetics Inc., a global technology company, as a Senior AI/ML Engineer. You will conduct research, propose solutions, participate in pre-sales activities, and work on internal and commercial projects applying ML algorithms and PyTorch models. Experience with data collection, classic computer vision, and healthcare domains is crucial. The role requires proficiency in PyTorch and OpenCV, along with strong communication skills. Intetics offers paid time off, work-from-home options, training and development, and partial medical compensation.

Requirements

• Strong knowledge of linear algebra and projective geometry
• Experience with classic ML algorithms
• PyTorch (required)
• OpenCV (required)
• Experience with 3D data, spatial data, point clouds e.t.c
• Experience with the healthcare domain is mandatory
• Experience in studying scientific papers and deploying solutions based on them (mandatory)

Responsibilities

• Conducting research and proposing high-level solutions
• Participating in pre-sale activities
• Working on an internal product by applying classical ML algorithms or lightweight PyTorch models for tasks such as document classification, predicting employee turnover risk, matching employees to new roles, forecasting sales trends, and identifying high-potential leads
• Engaging in various commercial projects
• Experience with data collection for model training, from the stage of requirements definition together with the client till datasets forming
• Experience with classic Computer Vision algorithms and image processing

Preferred Qualifications

• Experience with genomic and transcriptomic data would be a strong advantage
• Knowledge and interest in modern SOTA algorithms and approaches
• Experience in pre-sales activities will be a big plus
• Strong communication and presentation skills for explaining complex technical concepts to both technical and non-technical audiences would be a strong advantage

Benefits

• Paid Time Off (36 paid days per year)
• Work From Home
• Training & Development
• Partial medical compensation