OmegaHires

Developing full-stack applications with a focus on front-end and back-end integration, CI/CD pipelines, and cloud infrastructure. | Extensive experience in full-stack development, cloud deployment, and modern JavaScript frameworks, with no specific mention of machine learning or data engineering skills. | Job Title: Sr. Machine Learning Engineer Location: Remote About The Role As a remote Sr. Machine Learning Engineer, you'll report to our Engineering Manager and work with a talented team of PhD Researchers, ML Engineers, and healthcare experts. You will put machine learning into practice, so your code directly affects our customers immediately. You’ll work with large proprietary medical and clinical datasets containing both structured documents, natural language and images. Our mission is to empower healthcare professionals with tools that amplify their capabilities, making them faster, more comprehensive, and more effective in their roles. What You'll Do Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems Help develop pipelines that collect, preprocess, and deliver data with a measurable quality Write production-ready software with well-tested and efficient algorithms Develop state-of-the-art ML algorithms across computer vision, large-language models, and probabilistic inference to solve problems like medical document entity extraction, medical coding and claim outcome prediction Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment Help build novel, application-specific ML models - all of our products are built from the ground up with ML at their core, enabling us to deploy our predictions in new and interesting ways Skills & Qualifications Master's degree in Computer Science or similar 5+ years of work experience in machine learning and data engineering Have experience launching production systems from the ground up Proficiency in one or more programming languages such as Python and C++ Development experience with cloud platforms such as Spark, AWS & k8s Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow Full-stack development experience for an end-to-end ML solution Ideal experience with Large Language Models, including both open source model deployment and agentic workflows.

Designing and building high-performance data pipelines and platforms for healthcare data in a regulated environment. | Extensive experience with data engineering, healthcare data standards, and data platform architecture, along with operational experience in regulated industries. | Job Title: Senior Data Engineer Location: Remote About The Role We are seeking a talented, driven, and experienced Senior Data Engineer to join us in defining the future of AI + human healthcare. Requirements : 5+ years of experience in data engineering building high-performance data pipelines: Previously pioneered self-service analytics & business intelligence tooling (e.g. Hex, Sigma, Looker) for a diverse set of stakeholders Operational experience with data storage platforms (e.g. Databricks, Iceberg, or Snowflake) and analytical query engines (e.g. Athena or Presto) Managed job orchestration (e.g. Dagster, Airflow) and semantic data modeling (dbt, SQL) 2+ years working in highly regulated industries such as healthcare or financial services: Implemented row-level security and data masking for PHI/PII use cases Deep familiarity with row and columnar data warehouses (e.g. PostgreSQL, BigQuery, Snowflake) Opinionated about data architecture, data modeling, and analytics in a fast-growing environment You are a great fit if You have hands-on experience architecting data platforms from day 0 in a fast-paced, high-growth environment You’ve extensively worked with healthcare data and standards (e.g. HL7 FHIR, CDS, ICD-10) You have experience with our tech stack: AWS, Google Cloud, PostgreSQL, FHIR servers You consider yourself a Swiss-army knife data engineer who can flex into both data infrastructure, semantic modeling, and operational analytics You have knowledge of medical statistics and are keen to learn more You’re comfortable working across teams on multi-stakeholder projects You thrive on working alongside exceptional teammates and derive energy from collaborative environments

Developing and deploying AI agents, scaling AI solutions, and integrating AI into real-world applications. | Extensive experience with AI/ML, especially LLMs, and deploying AI solutions at scale, with leadership in cross-functional teams. | Job Title: Senior Staff Machine Learning Engineer (AI Agent) Location: Remote About The Role: As a Staff Machine Learning Engineer, your goal will be to take AI Agents from the realm of research and bring them into practical, real-world use cases. This includes developing and deploying proprietary LLMs, scaling AI solutions, and addressing key challenges such as evaluation and reliability. While we’re focused on real-world application rather than pure research, you’ll be working with some of the most advanced technologies in the GenAI space. Responsibilities: Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Client customer solutions Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems Qualifications We Value Bachelor’s Degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred, or equivalent professional experience 7+ years of hands-on industry experience with AI and machine learning, preferably with 3+ years of experience working with LLMs in large-scale production environments Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs Proven leadership in designing and deploying AI solutions at scale, with a deep understanding of model optimization and real-time AI applications Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy), as well as experience with distributed systems and cloud-based AI infrastructure Strong problem-solving and strategic thinking abilities, with a proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production A passion for driving AI adoption and pushing the boundaries of AI technology into real-world applications, with an ability to mentor junior engineers and influence strategic decisions across the organization