Senior AI/ML Engineer
CareMessage
π΅ $189k
πRemote - United States
Please let CareMessage know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join CareMessage, a technology non-profit, as a Senior AI/ML Engineer and contribute to improving health equity for millions. You will design, build, and deploy machine learning models and AI-powered systems to enhance decision-making on our platform. This role involves collaborating with a multidisciplinary team, leveraging large language models, and ensuring model performance and scalability. The ideal candidate possesses extensive experience in AI/ML engineering, particularly within healthcare, and a passion for using technology to improve healthcare outcomes. This is a fully remote position with a competitive salary and benefits package.
Requirements
- 5+ years as an AI/ML Engineer with a focus on healthcare AI/ML use cases
- 5+ years of experience with Python and machine learning frameworks such as scikit-learn, SparkML, TensorFlow, PyTorch, pandas, Hugging Face, etc
- Strong understanding of machine learning algorithms (e.g., supervised and unsupervised learning, natural language processing, reinforcement learning)
- Proven track record of applying ML techniques to healthcare data, particularly with natural language processing (NLP), Generative AI, and large language models (LLMs)
- Hands-on experience in training, tuning, and deploying models in production environments, including proficiency in advanced prompting techniques and fine-tuning LLMs for various use cases
- Hands-on experience deploying machine learning models in cloud environments (preferably GCP, but AWS or Azure are acceptable)
- Expertise in building and scaling end-to-end machine learning pipelines in production environments
- Familiarity with MLOps practices for model management and deployment
- Excellent communication skills to convey complex technical concepts to non-technical stakeholders and to collaborate effectively within a cross-functional team
- Strong expertise in data preprocessing, feature engineering, and model evaluation techniques
- Ability to translate business requirements and metrics into machine learning model specifications and solutions
- Applicants must be authorized to work in the United States on a full-time basis without sponsorship
Responsibilities
- Collaborate with engineers to develop, modify, and optimize machine learning models, including both generative AI (LLMs) and discriminative AI models, tailored to address specific business challenges
- Leverage large language models (LLMs) for applications such as text generation, text classification, and other AI-powered solutions
- Design and implement models for predictive analytics and classification tasks, ensuring high accuracy and reliability
- Design scalable, production-ready AI/ML solutions, taking models from initial concept through to deployment
- Monitor and maintain models post-deployment, making necessary adjustments to improve performance and address changing requirements
- Conduct experiments and fine-tune machine learning models to optimize their accuracy and overall performance
- Create high-level and detailed design plans for AI/ML production solutions, including selecting appropriate algorithms, data sources, infrastructure, and technologies that align with the organization's goals and constraints
- Design and implement scalable AI/ML pipelines that can efficiently handle production-level data and adapt to various use cases
- Ensure successful deployment of models into production environments, focusing on stability, reliability, and seamless integration
- Continuously track the performance of AI/ML solutions in production, addressing any issues, identifying model drift, and making necessary optimizations
- Manage and automate model evaluation, training, and deployment processes using cloud infrastructure, with a focus on GCP (experience with AWS or Azure is also acceptable)
- Fine-tune machine learning models to maximize performance and scalability, ensuring they meet diverse and evolving user needs
- Understand both company and customer challenges, leveraging AI capabilities to develop innovative solutions that address these problems
- Ensure the development and deployment of scalable, efficient, and high-quality AI solutions that meet business needs
- Participate in design, architecture, and code reviews. Foster collaboration within the team, ensuring high-quality code standards are maintained while guiding the team through technical challenges and roadmap deliverables
- Design and build efficient, resilient machine learning platforms and software products capable of scaling to meet production demands
- Adhere to best practices for data privacy and security, ensuring full compliance when working with sensitive data
- Actively seek opportunities to enhance and upgrade AI/ML infrastructure, tools, and solutions
- Improve best practices for machine learning engineering by producing high-quality code, documentation, automated tests, and precise monitoring systems
Preferred Qualifications
- Experience working in distributed systems-based architectures, developing APIs, and implementing/deploying scalable backend services
- Hands-on experience in data engineering, orchestration, ETL, and distributed unstructured data processing
- Experience with cloud infrastructure, including Docker/Kubernetes deployments, security, and cost optimization
- Knowledge of healthcare standards such as HL7, FHIR, or HIPAA compliance
Benefits
- Flexible work hours; fully remote team
- Paid parental leave for biological and adopted children
- Half-day Fridays, every Friday
- 18 paid company holidays, including a one week mid-year and one week end-of-year break
- 9 wellness days to be used for self-care- or anything that comes up in life
- 15 days of PTO
- 1-month (20 working days) paid sabbatical after the 4-year anniversary, and every 4 years thereafter
- Generous medical, dental, and vision insurance for employees and their families
- Health Savings Accounts and Flexible Spending Accounts
- 401k retirement plan
- Short & long-term disability insurance
- $100 per employee yearly wellness budget, with flexibility to spend on physical, emotional, and mental wellness resources
- PerkSpot: Instant access to discounts on products & services from hundreds of vendors
- Annual budget for professional and personal development (webinars, online courses, books, and more)
Share this job:
Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.
Similar Remote Jobs
- π°$110k-$180kπUnited States
- π°$110k-$180kπUnited States
- πGermany
- πWorldwide
- π°$80k-$120kπUnited States
- πWorldwide
- π°$175k-$250kπUnited States
- π°$159k-$219kπUnited States
- πIndia
Please let CareMessage know you found this job on JobsCollider. Thanks! π