SMK Soft
Machine Learning
SMK Soft, Reston, Virginia, United States, 20191
Senior Machine Learning experts must possess an active TS/SCI clearance with Full Scope Polygraph (FSP). TS/SCI CI Polygraph will not be accepted; Full Scope Polygraph is mandatory.
Do you have the right skills and experience for this role Read on to find out, and make your application.
Direct Hire Opportunities - Onsite - Sign on Bonus
Role 1: AI/ML Solutions Lead
Design and develop AI/ML solutions for extracting insights from complex data. Prototype AI-driven capabilities and evaluate technical feasibility for production deployment. Automate workflows, analyze data streams, and apply data correlation techniques. Collaborate with multidisciplinary teams to align technology solutions. Required Clearance: TS/SCI with polygraph.
Key Skills: Python, PyTorch, TensorFlow, NLP, LLMs, Prompt Engineering, RAG, Kubernetes, Azure, AWS, MLOps, CI/CD (Jenkins, GitOps), Agile, SQL, Databricks, Synapse, Prometheus, Grafana.
Role 2: AI/ML Engineer
Build, evaluate, and deliver new ML capabilities. Package, host, and deploy ML models in AWS environments. Work in high-performance teams leveraging Agile, DevOps, and clean code practices. Required Clearance: TS/SCI with polygraph.
Key Skills: Python, AWS (S3, Lambda, DynamoDB, SageMaker), CI/CD (Jenkins, CodePipeline), Reinforcement Learning, OpenAI Gymnasium, Kubernetes, Generative AI, LLMs, RAG, Prompt Engineering, SQL.
Role 3: AI/ML Systems Developer
Develop and optimize systems using AI/ML capabilities for operational transformation. Integrate AI/ML models into applications and build message-driven architectures. Use databases (SQL, NoSQL), Elasticsearch, and vector datastores. Required Clearance: TS/SCI with polygraph.
Key Skills: Python, AWS, Databases (PostgreSQL, Elasticsearch, Vector Datastores), Kubernetes, Generative AI, LLMs, DevOps, Message-Driven Architecture, CI/CD, MLOps.
Connect with me on LinkedIn: linkedin.com/in/techiefinder
Do you have the right skills and experience for this role Read on to find out, and make your application.
Direct Hire Opportunities - Onsite - Sign on Bonus
Role 1: AI/ML Solutions Lead
Design and develop AI/ML solutions for extracting insights from complex data. Prototype AI-driven capabilities and evaluate technical feasibility for production deployment. Automate workflows, analyze data streams, and apply data correlation techniques. Collaborate with multidisciplinary teams to align technology solutions. Required Clearance: TS/SCI with polygraph.
Key Skills: Python, PyTorch, TensorFlow, NLP, LLMs, Prompt Engineering, RAG, Kubernetes, Azure, AWS, MLOps, CI/CD (Jenkins, GitOps), Agile, SQL, Databricks, Synapse, Prometheus, Grafana.
Role 2: AI/ML Engineer
Build, evaluate, and deliver new ML capabilities. Package, host, and deploy ML models in AWS environments. Work in high-performance teams leveraging Agile, DevOps, and clean code practices. Required Clearance: TS/SCI with polygraph.
Key Skills: Python, AWS (S3, Lambda, DynamoDB, SageMaker), CI/CD (Jenkins, CodePipeline), Reinforcement Learning, OpenAI Gymnasium, Kubernetes, Generative AI, LLMs, RAG, Prompt Engineering, SQL.
Role 3: AI/ML Systems Developer
Develop and optimize systems using AI/ML capabilities for operational transformation. Integrate AI/ML models into applications and build message-driven architectures. Use databases (SQL, NoSQL), Elasticsearch, and vector datastores. Required Clearance: TS/SCI with polygraph.
Key Skills: Python, AWS, Databases (PostgreSQL, Elasticsearch, Vector Datastores), Kubernetes, Generative AI, LLMs, DevOps, Message-Driven Architecture, CI/CD, MLOps.
Connect with me on LinkedIn: linkedin.com/in/techiefinder