2 Artificial Intelligencepython Jobs

Job Title: Principal AI/ML Engineer Location: Remote Company: Srotas Health Type: Full-Time ???About Srotas Health Srotas Health is an AI-driven healthcare company transforming oncology research and clinical care Our flagship platform, SrotasIQ, leverages proprietary LLMs and real-time data integration to accelerate clinical trial recruitment, automate patient pre-screening, and support clinical decision-making ??? Role Summary We are seeking a Principal AI/ML Engineer to join our core product team You will lead the architecture and development of advanced AI solutions across our platform with a special focus on patient-trial matching, real-time data ingestion, and LLM-based reasoning This is a hands-on technical leadership role with scope for influencing product direction, mentoring team members, and owning critical AI components end-to-end ???? Key Responsibilities Design, develop, and deploy robust AI/ML models for patient-trial matching, clinical summarisation, and eligibility scoring Own the architecture and scaling strategy of Srotass AI infrastructure (including LLMs, vector DBs, embeddings, and data pipelines) Lead core model experimentation (LLMs, RAG pipelines, transformer-based models, etc) and benchmarking (speed, accuracy, explainability) Collaborate with product and clinical teams to translate real-world healthcare challenges into scalable ML solutions Manage and mentor junior engineers and researchers across AI, ML Ops, and data science functions Oversee responsible AI practices including bias mitigation, model auditing, and regulatory readiness (HIPAA, GDPR) Continuously evaluate the latest research in NLP, graph learning, multimodal AI, and incorporate relevant breakthroughs into our stack ???Requirements Must-Haves: 6+ years of hands-on experience in ML/AI engineering (including production-level deployments) Deep expertise in NLP (LLMs, transformers, embeddings, RAG) Strong software engineering background (Python, TensorFlow/PyTorch, FastAPI) Experience with modern ML infra: vector databases (e-g , Milvus, Weaviate), model orchestration, and cloud ML pipelines (Azure/AWS/GCP) Proven ability to lead and deliver technical projects with ambiguity and high ownership Exposure to healthcare, clinical trials, or biomedical data (or strong interest in learning domain-specific constraints) Nice-to-Haves: Experience with FHIR, clinical ontologies (SNOMED-CT, ICD-10), or EHR data structuring Experience fine-tuning or distilling LLMs or working with OSS models (Mistral, LLaMA, GPT-NeoX) Published work or contributions to open-source AI/ML frameworks ???What We Offer Be part of the founding tech team building a cutting-edge AI platform in healthcare Competitive salary with equity options Flexible remote working policy Opportunity to shape product direction, publish applied work, and influence real-world healthcare delivery

And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that well deliver on their needs for today while investing in experiences that will power their restaurant of the future, Breadyto make a change Toast is looking to expand the Data Science team to deliver new Data Science models to meet Toast Capital/Lending increased demands As a Principal Data Scientist, you will bring senior data science technical leadership with domain expertise in lending to the Capital Data Science team An ideal candidate has wealth of experience in banking lending technology or a leading fintech company with substantial depth of expertise and knowledge in lending underwriting, and risk management models, About this Roll*: Lead the development and implementation of advanced predictive models, to assess credit risk, optimize lending growth, and improve overall portfolio performance, Will actively engage in code reviews and comprehensive data quality assessments, ensuring that all development data pipelines and code meet the highest standards of reliability, accuracy, and readiness for seamless production deployment Collaborate closely with cross-functional teams, including Risk Management, Product, Engineering, and Business Strategy, to identify opportunities for leveraging data-driven insights to support growth and risk mitigation initiatives, Design, develop, and maintain innovative credit risk and lending growth strategies that align with the organization's objectives, while ensuring compliance with regulatory requirements and industry best practices, Monitor and analyze the performance of existing models and strategies, identifying areas for improvement and implementing data-driven refinements as needed, Present complex data-driven insights and recommendations to stakeholders in a clear, concise, and actionable manner, while fostering a data-driven culture within the organization, Mentor and guide junior data scientists, fostering a collaborative environment and promoting the growth and development of the data science team, Stay current with the latest trends and developments in data science, fintech, and credit risk management, continually exploring new methods and technologies to enhance the organization's capabilities, Do you have the right ingredients* Advanced degree in quantitative field such as Data Science, Statistics, Mathematics, Financial Engineering or related discipline 10+ years of experience in data science, with a focus on credit risk modeling in retail lending space (consumer or small business) and lending growth strategies, preferably within the fintech lending space, Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting, Familiarity with the US model risk management policies such as SR 11-7 that govern the lending models is strongly preferred, Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, Scala, scikit-learn, Tensorflow, PyTorch, XGBoost etc Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry, Excellent communication and presentation skills, with the ability to articulate complex data-driven insights to both technical and non-technical stakeholders, Strong leadership skills, with experience mentoring and guiding junior data scientists Bonus ingredients*: Passion for research and curiosity that calls you to go beyond good enough to create something innovative and exciting Self starter who loves to dig into different kinds of data to solve business problems and can communicate their findings to cross-functional stakeholders Work Mode: This role follows a hybrid work model, requiring a minimum of 2 days per week in the office, Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredientwhen they thrive, we thrive The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences, We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs Our goal is to build a strong culture of connection as we work together to empower the restaurant community To learn more about how we work globally and regionally, check out: https://careers toasttab,/locations-toast, Apply today! Toast is committed to creating an accessible and inclusive hiring process As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process