AI/ML Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Architect on a long-term contract, offering remote work. Key skills include expertise in AI/ML frameworks, cloud technologies, and data engineering. Proven experience in scalable AI/ML systems and collaboration with cross-functional teams is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 25, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Security #Data Science #Angular #Deployment #TensorFlow #Storage #PyTorch #Kubernetes #Data Pipeline #Keras #DevSecOps #DevOps #Prometheus #Data Ingestion #Visualization #Monitoring #GitHub #ADLS (Azure Data Lake Storage) #Azure #SnowPipe #Scala #Microsoft Power BI #Snowflake #Kafka (Apache Kafka) #BI (Business Intelligence) #AI (Artificial Intelligence) #ML (Machine Learning) #Spark (Apache Spark) #Cloud #Airflow #Docker #Grafana #SQL (Structured Query Language) #Python #Dataiku
Role description
Hi,
Please go through the below requirements and let me know your interest and forward your resume along with your contact information to raja@covetitinc.com
Role : AI/ML Architect
Location : Remote
Duration : Contract - Long Term
Job Description:
An experienced Al/ML Architect to lead the design, development, and deployment of advanced artificial intelligence, including machine learning and large language models. The ideal candidate will have a strong background in data science, software engineering, and cloud technologies, with a proven track record of architecting scalable and robust Al/ML systems. You will collaborate with cross functional teams to translate business requirements into technical solutions, ensuring best practices in model development, deployment, monitoring, security, and governance.
Responsibilities:
1. Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring frameworks.
1. Ensure the perspectives of DevOps/MLOps, DevSecOps, FinOps, and Governance are addressed.
1. Leverage existing infrastructure wherever possible (Snowflake /Dataiku/Power BI/Azure).
1. Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliverables.
1. Evaluate and select appropriate AI/ML frameworks, tools, and platforms based on project needs.
1. Ensure scalability, reliability, and security of AI/ML solutions in production environments.
1. Oversee the integration of AI/ML models into existing products and services.
1. Establish and enforce best practices for model versioning, reproducibility, and governance.
1. Mentor and guide junior team members in AI/ML methodologies and architectural patterns.
1. Stay current with industry trends, emerging technologies, and research in Al/ML.
Technologies: .
1. ML/DL Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost
1. DevOps/MLOps: GitHub, GitHub Actions, CI/CD pipelines
1. DevSecOps: RBAC, SSO/SCIM, OAuth, Snowflake's security model Data
1. Visualization: Power BI, Angular
1. Monitoring & Orchestration: Dagster, Airflow, Grafana, Prometheus
1. Data Ingestion: Airbyte, Snowpipe Files & Streaming, Kafka, APIs Data
1. Processing: Dataiku, Spark, Snowflake (streams/tasks / dynamic tables), Python, SQL
1. Compute: Snowflake Warehouses & Compute Pools, Azure VM's, Kubernetes, Docker
1. Storage: Snowflake, SQL, Iceberg Tables, Parquet, ADLS
1. Cloud Platforms: Azure
Hi,
Please go through the below requirements and let me know your interest and forward your resume along with your contact information to raja@covetitinc.com
Role : AI/ML Architect
Location : Remote
Duration : Contract - Long Term
Job Description:
An experienced Al/ML Architect to lead the design, development, and deployment of advanced artificial intelligence, including machine learning and large language models. The ideal candidate will have a strong background in data science, software engineering, and cloud technologies, with a proven track record of architecting scalable and robust Al/ML systems. You will collaborate with cross functional teams to translate business requirements into technical solutions, ensuring best practices in model development, deployment, monitoring, security, and governance.
Responsibilities:
1. Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring frameworks.
1. Ensure the perspectives of DevOps/MLOps, DevSecOps, FinOps, and Governance are addressed.
1. Leverage existing infrastructure wherever possible (Snowflake /Dataiku/Power BI/Azure).
1. Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliverables.
1. Evaluate and select appropriate AI/ML frameworks, tools, and platforms based on project needs.
1. Ensure scalability, reliability, and security of AI/ML solutions in production environments.
1. Oversee the integration of AI/ML models into existing products and services.
1. Establish and enforce best practices for model versioning, reproducibility, and governance.
1. Mentor and guide junior team members in AI/ML methodologies and architectural patterns.
1. Stay current with industry trends, emerging technologies, and research in Al/ML.
Technologies: .
1. ML/DL Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost
1. DevOps/MLOps: GitHub, GitHub Actions, CI/CD pipelines
1. DevSecOps: RBAC, SSO/SCIM, OAuth, Snowflake's security model Data
1. Visualization: Power BI, Angular
1. Monitoring & Orchestration: Dagster, Airflow, Grafana, Prometheus
1. Data Ingestion: Airbyte, Snowpipe Files & Streaming, Kafka, APIs Data
1. Processing: Dataiku, Spark, Snowflake (streams/tasks / dynamic tables), Python, SQL
1. Compute: Snowflake Warehouses & Compute Pools, Azure VM's, Kubernetes, Docker
1. Storage: Snowflake, SQL, Iceberg Tables, Parquet, ADLS
1. Cloud Platforms: Azure
