analytics services. With a global presence and ambitious growth plans, they are expanding our team to support our strategic vision. The Role We are seeking an experienced and passionate Data Consultant with significant SAS project experience to join their team. The ideal candidate will have over 7 years of hands-on experience in data and analytics, with a … stakeholders. Job Responsibilities Collaborate with client and partner teams to deliver timely, professional, and high-quality project outputs. Leverage expertise in SAS technologies, solutions, and methodologies. Develop and implement data management systems to optimize data quality, focusing on best-practice ETL processes. Acquire data from primary and secondary sources and maintain databases/data systems. Utilize … and communicate best-practice methodologies internally and externally. Create technical documentation, including requirements, design, administration, and user guides. Interpret data and analyze results using statistical techniques, delivering ongoing reports. Identify, analyze, and interpret trends or patterns in complex datasets. Participate in product and solution training to maintain in-depth knowledge of SAS offerings. Work closely with stakeholders to prioritize More ❯
AI/ML products who thrives in dynamic, fast-paced environments and enjoys working closely with small, high-impact teams. You will lead initiatives involving AI-driven system upgrades, data platform modernization, and greenfield builds, collaborating directly with director-level stakeholders to align technical innovation with business outcomes. Your work will help shape intelligent solutions that drive measurable value … through automation, personalization, and data insights. Key Responsibilities Own and manage the product backlog with a focus on AI/ML feature development, turning business needs into actionable user stories and clear acceptance criteria. Lead end-to-end initiatives involving AI-powered applications, from dataingestion and model deployment to user-facing functionality. Collaborate with data … customer, advocating for responsible AI adoption and transparency across the product lifecycle. Skills & Experience Proven experience as a Product Owner (or similar role) working on AI/ML or data-driven products in agile/scrum teams. Demonstrated success leading AI product development, including model integrations, intelligent workflows, or predictive analytics. Strong ability to translate complex AI concepts into More ❯
and machine learning systems at the core of the companys clinical platform. Youll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into robust, data-driven solutions. This is a hands-on role with broad impacttouching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and … ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical strategy, architectural decisions, and mentoring within the ML team What Were Looking For Essential: 4+ years … of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and HuggingFace Experience building full ML pipelines from dataingestion to deployment Solid software engineering practices including testing, version control, and CI/CD Strong communication and collaboration skills, especially with non-technical stakeholders Interest in applying More ❯
React, NextJS, .Net Core Solid understanding of software development methodologies. Knowledge of RESTful APIs and microservices architecture. Strong understanding of serverless architecture and cloud computing principles Experience with building dataingestion with multiple le format, API integration. Strong knowledge of TDD, BDD including writing unit test, integration and E2E testing Excellent problem-solving skills and attention to detail. More ❯
