Senior Machine Learning Engineer

Title: Senior Machine Learning EngineerBangalore| IndiaInCommon is hiring for a US based healthtech company on a mission to provide dignified, high quality care to patients with complex health needs. The company delivers primary, behavioral, and social care through a combination of at-home and virtual care, supported by 24/7 access to dedicated care teams. Powered by technology, evidence-based care models, and strong partnerships across the healthcare ecosystem, the company is focused on improving health outcomes and addressing long standing gaps in care.About the role:As a Senior Machine Learning Engineer, you will help them transform healthcare through AI.Mission-critical, be part of our growing team (and company).Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choicesDrive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experienceBe part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debtDesired skills and experience:Required:5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOpsGraduate degree in Computer Science, Statistics, or related quantitative fieldStrong proficiency in Python and SQL, with the ability to create efficient and maintainable code for machine learning applicationsDeveloping and maintaining ML pipelines for model training, evaluation, deployment (experience with tools like AWS Sagemaker or Bedrock is preferred)Healthcare experience is valuable but not requiredYou have hands-on experience in:Developing and implementing modern LLM models and transformers and deploying ML models in a production environmentDesigning and implementing best practices for model versioning, experimentation, and reproducibilityContinuously improving our ML infrastructure for stability, scalability, observability, and securityDeveloping internal tooling and libraries to enhance ML workflow efficiencyDesigning and implementing best practices for model versioning, experimentation, and reproducibilityExperience improving ML infrastructure for stability, scalability, observability, and securityDeveloping internal tooling and libraries to enhance ML workflow efficiencyExperience with tools like AWS SageMaker or AWS BedrockResponsibilities will include:Technical LeadershipDrive AI initiatives and collaborate with teams to leverage data effectively through model development and evaluationDesign and implement scalable Machine Learning infrastructure and solutions, ensuring reliability and performanceHelp establish data engineering best practices and promote standards that enhance data accessibility across teamsData Strategy & ArchitectureCreate and maintain optimal AI pipeline architecture with high observability and robust operational characteristicsChampion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equityAssemble large, complex data sets that address functional and strategic requirementsCollaboration & EnablementPartner with other teams such as; Executive, Product, Clinical, Data, and DesignIdentify, design, and implement process improvements to enhance efficiency and scalabilityCreate tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leaderQuality & InnovationDevelop efficient, reliable AI pipelines with strong monitoring and observabilityNavigate and optimize our data ecosystem to drive meaningful insightsDesign and implement comprehensive evaluation frameworks and benchmarks to rigorously assess model performance, accuracy and reliabilityWhat makes you a fit for the team: Your entrepreneurial mindset and ability to articulate complex technical ideas will be essential as you collaborate across our remote team to solve novel problems at the intersection of AI and compassionate care delivery