AI / ML Engineer

AI/ML Engineers

Virtasant is a leading cloud consulting services provider. We heavily focus on lift & shift cloud-native development cloud cost optimization and migration services. As a consulting company we often are faced with the challenge to create an engineering team in a matter of a week or two. To do that we have created a secondary support business that runs an engineering talent network and provides staffing services.

Our client combines the latest IoT tracking devices with cutting-edge software technologies to manage workflows and track equipment. They are creating an intuitive cloud-based application to improve businesses' ability to schedule maintain and deploy complex equipment configurations.

The position

This project focuses on developing AI-driven methods for a clinic to extract structured data from patient-clinician conversation transcripts. The aim is to identify and organize key information such as side effects medication plans and codes to improve data analysis and support medical decision-making.  We are seeking a skilled AI / ML engineer to join our client’s team the project aims to transform unstructured dialogue from these consultations into a structured format that can be easily analyzed stored and used for further medical decision-making or research through AI.

• Side Effects: Information about any adverse effects or reactions the patient reports during the consultation.

• Medication Plan: Details about the prescribed treatment plan including dosages schedules and any instructions given by the clinician.

• Medication Codes: Extraction of standardized codes (likely from medical coding systems like ICD or CPT) associated with the medications discussed during the consultation.

Responsibilities

• 3-4 years of production experience - putting ML systems in production

• Advanced knowledge of Python

• At least one NLP/LLM project project in production

• Hands-on experience with deep learning libraries and frameworks (PyTorch Keras Tensorflow fastai YOLO ...)

• Solid data engineering skills (SQL data pipelines pandas)

Nice to Have:

• Familiarity with AWS ML services (Bedrock and Sagemaker)

• Using LLMs and transformer models to extract information from raw text.

• A plus would be experience applying these techniques to medical data.

Skills and Qualifications

• Experience working in a startup environment with high-velocity

• Excellent communication and collaboration skills

Our Recruitment Process

• Recruiter interview (30 min)

• Technical interview (30 min)

• Client interview I (Call with the Founders -  60 minutes)

• Take Home Assignment (3-4 hours).

• Client interview II (A meeting to go through the Take Home Assignment)

What We Offer

• Totally remote full-time (40h/week)

• Monday to Friday Between PST and BST (9am-6pm from US Pacific Time to British Time)

• PTO for local holidays based on the country of residence plus two calendar weeks (10 workdays)

• Long-term no end date independent contractor agreement

• Payment in USD by-weekly or monthly - your choice