The client is a healthcare technology company on a mission to improve outcomes through data-driven insights. With a focus on delivering industry-leading Patient-Reported Outcome Measures (PROMs) adoption rates, the company empowers providers with tools for smarter operations and better care. Their current AI maturity presents a greenfield opportunity for technical leaders eager to define and implement strategic AI solutions in a collaborative and fast-paced environment. Project Description The project centers around developing a suite of AI-powered tools within a healthcare platform. These tools aim to enhance patient engagement, automate communication via sentiment-aware CRM integration, process unstructured device data using GenAI, and surface predictive analytics to detect early signs of patient risk. Additionally, a natural language-driven insights interface enables dashboard generation and anomaly detection to improve care quality, reduce operational costs, and increase platform engagement. Technologies Python FastAPI PyTorch TensorFlow OpenAI Bedrock Docker AWS (ECR, ECS, EC2, Lambda) CI/CD MLflow SQL NoSQL OpenCV Kafka AWS SageMaker GCP What You'll Do Architect, develop, and deploy ML solutions aligned with cost-reduction and revenue-growth KPIs; Own the full ML lifecycle including data acquisition, model training, evaluation, A/B testing, and production deployment; Translate business objectives into robust technical solutions in collaboration with stakeholders; Refactor and modernize legacy components into scalable infrastructure; Ensure high code quality through strong testing and observability practices; Lead demos and workshops for business and technical audiences; Job Requirements Minimum 3+ years of experience in machine learning or data engineering roles; Solid theoretical foundation in machine learning, natural language processing (NLP), and computer vision; Strong Python development skills and experience building end-to-end ML/NLP/CV pipelines in production environments; Proven experience deploying ML systems in cloud environments, preferably AWS (ECR, ECS, EC2, Lambda, Bedrock); Hands-on experience with containerization tools like Docker and orchestration in production settings; Familiarity with distributed systems and message-based architectures; Kafka experience is a plus; Experience setting up and maintaining CI/CD pipelines and version control workflows using modern DevOps practices; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Internal startup incubator; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days. Share vacancy Didn’t find anything suitable? We’re always starting new projects and we’d love to work with you. Please send your CV and we’ll get in touch. We will be glad to see you! First Name First Name is required. Maximum 50 characters. Last Name Last Name is required. Maximum 50 characters. Email Email is required. Please enter a valid email address (e.g. recipient@domaine.org). Referral Maximum 100 characters. Add the name of our employee (e.g. John Smith) Attach file Please attach file in the allowed format .pdf, .doc(x), .txt, .rtf Please attach file less than 3 Mb Attach file Please attach file in the allowed format .pdf, .doc(x), .txt, .rtf Please attach file less than 3 Mb Formats (3 MB): doc, docx, pdf, txt, rtf I have acknowledged and agree that Coherent Solutions will process my submitted personal data pursuant toPrivacy Policy for Job Applicants and understand that due to international presence of Coherent Solutions my personal data may be transferred to third countries. I also give consent to Coherent Solutions to process my personal data for 3 (three) years for the purpose to notify me about future job openings. I am informed that I can withdraw my consent anytime by submitting a request . In such case my personal data will be deleted from a candidates database. Thanks for your application! We will reply soon. #J-18808-Ljbffr