Full Stack AI/ML Developer – Digital Products

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

📋 Description

• Collaborate with cross-functional agile teams to conceptualize, develop, and oversee digital products from inception through launch and user adoption.

• Create front-end architectures and design intuitive, responsive user interfaces.

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

• Develop and maintain scalable APIs, microservices, and integration frameworks.

• Work alongside Data Scientists and AI Engineers to incorporate AI/ML models into applications, focusing on inference pipelines, intelligent features, and model-driven user experiences.

• Construct and sustain data and application pipelines that support AI/ML functionalities and model deployment.

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

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

• Influence stakeholders and facilitate decision-making through effective communication, structured documentation, and product storytelling.

• Engage in Agile workflows, including sprint planning, backlog prioritization, and iterative product releases.

• Keep abreast of emerging cloud platforms, AI/ML frameworks, front-end and backend technologies, and contemporary development practices.

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

• Uphold UI/UX design standards and best practices.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline 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 similar technical fields.

• At least 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.

• Solid understanding of distributed systems, real-time data streaming, data governance, and API/Integration architectures.

• Proven capability to design and implement enterprise-scale data architecture solutions.

• Familiarity with AI frameworks and tools such as MLflow, PyTorch, TensorFlow, Azure ML, SageMaker, and Vertex.

• U.S. citizenship is required; only U.S. citizens are authorized to access information under this program/contract.

• Preferred qualifications include experience with Java, Spring Boot, microservices, REST APIs, CI/CD, Agile, SDLC management, Docker, Kubernetes, Kafka, Kafka Streams, web application security, and AI/ML feature integration.

• Ability to articulate technical concepts to both engineering and non-technical stakeholders.

• Strong interpersonal, collaboration, problem-solving, and attention-to-detail skills.

• Capacity to thrive in a fast-paced environment with a high degree of autonomy and accountability.

• Demonstrated ability to lead modernization, cloud migration, or digital transformation initiatives.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

• Short-term disability

• Long-term disability

• 401(k) match

• 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, where eligible

• Employee referral award, where applicable

• Primarily remote work from home