Senior Analyst, Machine Learning Engineer

<p><b>Aquí es donde salvas y sostienes vidas</b></p><p></p><p>En Baxter, estamos profundamente conectados por nuestra misión. No importa tu rol en Baxter, tu trabajo tiene un impacto positivo en la gente alrededor del mundo. Sentirá un propósito en toda la organización, ya que sabemos que nuestro trabajo mejora los resultados para millones de pacientes.</p><p></p><p>Los productos y terapias de Baxter se encuentran en casi cada hospital del mundo, el clínicas y en los hogares. Por más de 85 años hemos sido pioneros en innovaciones médicas significativas que transforman el cuidado en salud.</p><p></p><p>Juntos creamos un lugar donde somos felices, exitosos y nos inspiramos mutuamente. Aquí es donde puedes hacer tu mejor trabajo.</p><p></p><p>Únete a nosotros en la intersección de salvar y sostener vidas-donde tu propósito acelera nuestra misión.</p><p></p><p></p><p><b>Summary</b></p><p><span>We are a leading company in the healthcare sector, seeking an experienced and dedicated Machine Learning Engineer. Our focus is on leveraging state-of-the-art technologies and machine learning models to revolutionize the medical device landscape. The successful candidate will possess expertise in areas such as Generative AI, Time Series Forecasting, Natural Language Processing (NLP), Recommender Systems, Anomaly Detection, Data Mining, SQL, and Cloud Computing.</span> </p><p><span>We are at the forefront of medical technology innovation, deeply committed to enhancing patient care through our devices. We provide a stimulating and supportive work environment that encourages professional growth. </span></p><p></p><p><b>Responsibilities </b></p><ul><li><p><b>Large Language Models</b>: Develop applications using large language models like GPT3.5/4 and LLAMA2 to extract insights and create multi-step agents to automate processes. </p></li><li><p><b>Time Series Forecasting</b>: Utilize machine learning techniques to create models that can predict future trends based on historical healthcare data. </p></li><li><p><b>Natural Language Processing (NLP)</b>: Implement NLP techniques to analyze and interpret complex medical text data. </p></li><li><p><b>Automate Experiments for End2End solutions:</b> Designing Data Pipelines, Modeling Pipelines, Inference pipelines.  Orchestrating the entire lifecycle of machine learning projects.  Knowledge in the management and administration of various MLOPS/DEVOPS tools like Jenkins, pyServer, Kubernetes charts, MLFlow, MetaFlow, Jupyterhub. </p></li><li><p><b>Publish Inference Endpoints for consumers</b>. Ability to design solutions to deploy ML Solutions in Batch or Interactive ways. </p></li><li><p><b>Recommender Systems</b>: Design and develop personalized recommendation algorithms to optimize device usage and enhance patient care. </p></li><li><p><b>Anomaly Detection</b>: Create models capable of identifying unusual patterns or outliers in healthcare data to enhance early detection of potential health risks. </p></li><li><p><b>Data Mining and SQL</b>: Extract and analyze data from various sources using advanced data mining techniques and SQL. </p></li><li><p><b>UI/UX Development</b>: Work in collaboration with the UI/UX team to integrate machine learning models into the user interface of our medical devices, ensuring a seamless user experience. </p></li><li><p><b>Cloud Computing</b>: Use cloud platforms such as AWS and Azure for model training, deployment, and scaling. </p></li><li><p><b>Regulatory Compliance</b>: Ensure compliance with healthcare sector regulations in all machine learning solutions, maintaining rigorous documentation and validation as required. </p></li></ul><p></p><p><b>Qualifications</b></p><ul><li><p>Demonstrated experience in the aforementioned areas, particularly in <span>Agentic AI, MCP, Generative AI</span>, Time Series Forecasting, NLP, Recommender Systems, Anomaly Detection, Data Mining, SQL, UX prototyping (Streamlit, Gradio) and Cloud Computing. </p></li><li><p>Good understating of DevOps, cloud computing, bash scripting, Kubernetes, Jenkins, <span>ArgoCD and Terraform/OpenTofu</span> is a must. </p></li><li><p>Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. </p></li><li><p>Previous experience in the healthcare sector and a solid understanding of its regulatory landscape, privacy and security standards would be a significant plus.</p></li><li><p>Strong skills in data analysis and visualization is a must.</p></li><li><p>Excellent communication and teamwork skills. </p></li><li><p>Fluent English is a must.</p></li></ul><p></p><p><b>Education and Experience</b></p><ul><li><p>Bachelor's or master's degree in computer science, Data Science, Statistics, or a related field. A Ph.D. would be advantageous. </p></li><li><p>Minimum 3+ years’ experience working with business leadership in creating measured value of IT investment.</p></li><li><p>1+ years of experience in commercial technologies supporting capabilities such as marketing