Machine Learning
1 month ago
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
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