Full Stack AI/ML Developer – Digital Products

This is a fully remote position, open to applicants in Connecticut.

📋 Description

• Work collaboratively with cross-functional agile teams to conceptualize, develop, and oversee digital products from their inception to launch and adoption.

• Create front-end architectures and user interfaces that are intuitive and responsive.

• Utilize Palantir Foundry for data integration, managing ontologies, developing pipelines, operational workflows, and deploying data-driven applications and AI/ML use cases.

• Design and execute backend services utilizing C#, Java, and Python.

• Construct and uphold scalable APIs, microservices, and integration frameworks.

• Integrate AI/ML models into applications, encompassing inference pipelines, intelligent features, and model-driven user experiences.

• Develop and maintain data and application pipelines that support AI/ML capabilities and model deployment.

• Collaborate on feature engineering, model testing, validation, and operationalization processes.

• Implement DevOps practices across continuous integration/continuous deployment (CI/CD), automated testing, cloud deployment, and containerized workloads.

• Effectively communicate with stakeholders through clear messaging, structured artifacts, and compelling product storytelling.

• Engage in Agile workflows, defining sprints, prioritizing backlogs, and facilitating iterative product releases.

• Keep up-to-date with advancements in cloud platforms, AI/ML frameworks, front-end and backend tools, and contemporary development methodologies.

• Ensure that solutions align with technical specifications and meet customer expectations.

• Uphold UI/UX design standards and best practices.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, along with 12+ years of relevant work experience, or an Advanced Degree with 10+ years of relevant work experience.

• Over 10 years of experience in data engineering, data architecture, analytics, AI/ML, or related technical fields.

• More than 5 years of experience architecting cloud-native data platforms using Azure, AWS, or GCP.

• Extensive experience with Databricks, Lakehouse architectures, and modern ELT/ETL tools.

• Strong grasp of distributed systems, real-time data streaming, data governance, and API/integration architectures.

• Practical experience with Palantir Foundry, including data pipeline transformations, ontology management, and application deployment.

• Capability to design and implement enterprise-level data architecture solutions.

• Familiarity with MLflow, PyTorch, TensorFlow, Azure ML, SageMaker, or Vertex.

• U.S. citizenship is required.

• Preferred qualifications include experience with Java and Spring Boot, microservices, REST APIs, CI/CD, Agile methodologies, SDLC management, Docker, Kubernetes, web application security, Apache Kafka, Kafka Streams, AI/ML features, and cloud migration/digital transformation.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

• Short-term disability

• Long-term disability

• 401(k) matching

• Flexible spending accounts

• Flexible work schedules

• Employee assistance program

• Employee Scholar Program

• Parental leave

• Paid time off

• Holidays

• Annual short-term and/or long-term incentive compensation programs may be available

• Employee referral award may be available

• Primarily remote work from home