Job Title:  Software Engineer  Specialty
Location: Remote
Duration: 12 months 

Description: 
As a Senior AI Engineer where you will design, implement, and productionize advanced AI solutions that improve clinical workflows, patient experience, and operational efficiency across the healthcare system. Working within an Agile team, you will translate clinical and business needs into robust machine learning and AI systems, own model lifecycle delivery, and partner with product, data engineering, SRE, and clinical SMEs. This role emphasizes engineering excellence, reproducible experiments, compliance with healthcare regulations, and mentoring junior engineers.

Key Responsibilities:

• Design and develop productiongrade ML/AI systems (classical ML, deep learning, LLMbased and RAG solutions) for healthcare use cases.
• Lead endtoend model lifecycle: data ingestion, feature engineering, model training, validation, deployment, monitoring and continuous improvement.
• Work with data engineering to create robust, auditable, and HIPAAcompliant data pipelines and feature stores.
• Implement MLOps best practices—model versioning, CI/CD for models, automated training pipelines, canary/bluegreen rollouts, and drift detection.
• Develop and execute model evaluation plans: performance, calibration, bias/fairness assessments, robustness, and clinical validation.
• Ensure model explainability and privacypreserving practices where appropriate (differential privacy, secure inference patterns).
• Expose models through welldocumented APIs and microservices, optimizing for latency, cost, and reliability.
• Collaborate with clinical SMEs and product teams to translate problems into technical requirements and measurable success metrics.
• Perform code and architecture reviews; mentor and coach engineers and contribute to hiring and technical roadmaps.
• Maintain reproducible experiments, model artifacts, and technical documentation; lead PoCs and vendor evaluations.

Essential Qualifications:

• At least 7 years of professional software engineering experience with a minimum of 3–5 years focused on machine learning/AI and production deployments.
• Strong software engineering fundamentals: OOAD, design patterns, data structures, algorithms, and clean/testable code practices.
• Proficient in Python and ML/AI frameworks such as PyTorch, TensorFlow, scikitlearn, and Hugging Face Transformers.
• Experience with MLOps and tooling (MLflow, Kubeflow, TFX, Seldon, or similar) and CI/CD systems for models and services.
• Cloud experience (GCP/Azure) for training and serving models; containerization and orchestration (Docker, Kubernetes).
• Strong data skills: SQL, Spark/Databricks, feature stores, and production data engineering practices.
• Handson experience with model monitoring, A/B testing, observability, and logging for ML services.
• Excellent verbal and written communication skills; ability to explain complex technical concepts to clinical and business stakeholders.
• Demonstrated ability to lead technical delivery and mentor other engineers in an Agile environment.

Preferred Additional Experience:

• Prior experience in healthcare or other regulated industries; familiarity with HIPAA, clinical validation, and regulatorycompliant ML processes.
• Experience building or deploying Large Language Models, retrievalaugmented generation (RAG), or multimodal models.
• Background in privacypreserving ML (federated learning, differential privacy) or safety/ethics frameworks for AI.
• Cloud certifications (GCP/Azure) or formal MLOps/ML engineering certifications.
• Comfort with observability stacks, metrics, alerting, and SREoriented production readiness for ML systems.
• Familiarity with relational and NoSQL databases (MySQL, Postgres, MongoDB, Redis) and message/event systems (Kafka, RabbitMQ).
• Experience with Atlassian tools (JIRA, Confluence), and TDD/BDD practices.

Education:

• B.S. or M.S. in Computer Science, Data Science, Electrical Engineering, or equivalent experience; advanced degree (MS/PhD) preferred.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 70.00/hr.