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.NET Developer / Architect AI/ML Integration (Full Time/ONSITE)

Serigor

Columbia, Maryland, USA

Full-time

Job Title: .NET Developer / Architect AI/ML Integration (Onsite) Location: Columbia, MD Job Type: Full-Time Experience Level: 10+ Years (including architecture and AI/ML exposure) Job Summary: We are seeking a highly skilled .NET Developer/Architect with proven experience in AI/ML integration to lead the design, development, and implementation of modern, intelligent enterprise applications. The ideal candidate brings deep expertise in Microsoft technologies, cloud-native development, and micro

AI/ML Data Integration Developer

Avance Consulting

New York, New York, USA

Contract, Third Party

Role Summary: Create secure, scalable integration pipelines and APIs connecting clinical systems, Snowflake data stores, and AI model endpoints. Responsibilities: Develop APIs and microservices in Python (FastAPI) and Node.js Build ETL/ELT pipelines using Airflow/dbt from Epic EHR into Snowflake or similar Integrate with real-time streaming tools (Kafka, Google Cloud Platform Pub/Sub) and FHIR APIs Ensure encryption in transit, data lineage, and access control compliance (OAuth2, RBAC) Build hyb

Sr. Developer - Python & AI/ML

Mindlance

Washington, District of Columbia, USA

Third Party, Contract

Role: Sr. Developer - Python & AI/ML Location: Washington, DC - (Preferred Local Candidate) Duration: Long Term Hybrid Onsite: 4 days onsite per week from Day 1 Job Description: We are seeking a highly skilled Sr. Python Developer with expertise in cloud technologies (Google Cloud Platform or Azure) and AI/ML, including Generative AI (GenAI) and Large Language Models (LLMs). The ideal candidate should have experience with Vertex AI and the ability to navigate multi-cloud environments (Google C

Sr. Java Developer (with AI in ML) - Lake Mary, FL (Locals Preferred)

TekPlant Inc.

Lake Mary, Florida, USA

Contract

Sr, jav Developer 5 days Onsite Relevant Experience: 10+ Years Required Skills: 10 or more years of experience in data science.Ability to work effectively in a dynamic group that has several concurrent projects.Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.Machine learning Artificial Intelligence Implement algorithms and statistical models to automate data analysis, data profiling and data validation.Develop programs