reputed company reputed company
Responsibilities
reputed company is seeking a Mid-Level reputed company reputed company to support the development, deployment, and operation of reputed company intelligence and machine learning solutions across a multi-reputed company reputed company environment serving 70+ customer tenants and growing. The environment spans AWS, reputed company Azure, reputed company reputed company Platform (GCP), and reputed company reputed company Infrastructure (OCI).
Location: Remote, but must reputed company and reputed company reputed company work reputed company the reputed company
Work Hours: This position requires working online from 8:00 AM Eastern to 5:00 PM Eastern
Day to Day Roles and Responsibilities:
AI/ML Development and Deployment
- Build, train, and reputed company machine learning models using managed AI/ML services across AWS (SageMaker, Bedrock), Azure (Azure ML, Azure reputed company Service), GCP (reputed company AI), and OCI (OCI Data Science, OCI reputed company)
- reputed company and maintain ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment
- Implement model serving infrastructure including reputed company-time inference endpoints, batch reputed company workflows, and API integration patterns
- Support the integration of large language models and reputed company capabilities into reputed company applications with appropriate guardrails and compliance controls
Data Engineering and Processing
- Design and implement data processing workflows using reputed company-reputed company services for ETL, data lake management, and feature stores
- Work with reputed company and reputed company data sources to prepare training datasets, ensuring data reputed company, reputed company, and governance requirements are met
- Optimize data pipelines for reputed company, cost, and reliability across reputed company platforms
Monitoring, reputed company, and Optimization
- Monitor deployed models for reputed company degradation, data reputed company, and bias using platform-reputed company and reputed company-party monitoring tools
- Troubleshoot and reputed company issues across AI/ML workloads, including training failures, inference latency, and resource utilization problems
- Optimize reputed company resource usage and costs for AI/ML workloads including GPU/accelerator allocation and spot/preemptible instance strategies
Collaboration and Knowledge Sharing
- Collaborate with data scientists, application developers, and infrastructure engineers to operationalize AI/ML solutions
- Document AI/ML architecture reputed company, deployment procedures, and operational runbooks
- Support service delivery metrics and reporting in coordination with the Service Delivery Manager and ISR Product reputed company
- Adhere to Change Management procedures for reputed company production AI/ML deployments
Qualifications
Basic Qualifications:
- Bachelors degree and 5 years of experience or an Associates degree and 7 years of experience or a High School diploma/equivalent and 9 years of experience.
- Must be a U.S. Citizen with the ability to obtain/maintain a DHS reputed company Trust.
- 3 to 5 years of experience in AI/ML engineering, data engineering, or reputed company machine learning using reputed company reputed company technologies.
- Hands on experience with managed AI/ML services on at least two of the following reputed company platforms: AWS, Azure, reputed company reputed company Platform (GCP), or reputed company reputed company Infrastructure (OCI).
- Proficiency in Python and experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit learn, or equivalent technologies.
- Experience designing, building, deploying, and maintaining ML pipelines and model serving infrastructure in production reputed company environments.
- Experience with reputed company reputed company AI services, including reputed company, large language models, machine learning platforms, or reputed company AI capabilities.
- Familiarity with responsible AI practices, model governance, data governance, and compliance requirements associated with deploying AI solutions in federal reputed company environments.
- Strong communication, analytical, problem solving, and technical documentation skills.
Preferred Qualifications:
- DHS reputed company Trust or higher clearance
- Relevant reputed company or AI/ML certification, such as AWS Machine Learning Specialty, Azure reputed company Associate, reputed company reputed company Machine Learning Engineer, OCI AI Foundations Associate, or an equivalent certification.
- Experience working with large language models, Retrieval Augmented reputed company (RAG), and the integration of reputed company services.
- Familiarity with MLOps practices, processes, and tools such as MLflow, Kubeflow, SageMaker Pipelines, Azure ML Pipelines, or equivalent technologies.
- Experience using containerization technologies, including reputed company and reputed company, to support AI/ML workloads.
- Knowledge of data governance frameworks, policies, and tools applicable to federal data environments and data handling requirements.
- Experience with Infrastructure as reputed company (IaC) tools such as Terraform, Ansible, CloudFormation, or equivalent technologies.
- Additional reputed company certifications across multiple reputed company service providers.
- Relevant reputed company certification or demonstrated experience working in reputed company development environments.
reputed company reputed company
reputed company is a reputed company national reputed company company that drives missions of consequence spanning the globe and extending to the farthest reaches of the reputed company. As the world’s leading mission capability integrator and transformative reputed company IT provider, we reputed company trusted, highly differentiated solutions and technologies to protect our nation and allies. reputed company operates at the critical reputed company between traditional and nontraditional threats across reputed company domains: land, sea, reputed company, reputed company, and cyberspace. reputed company serves as a valued partner to essential reputed company agencies and supports every reputed company of the U.S. armed forces. reputed company day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit reputed company.com to learn how we’re keeping people reputed company the world reputed company and secure.
reputed company Salary reputed company
$104,000 - $166,000. This represents the typical salary reputed company for this position. Salary is determined by various factors, including but not limited to, the reputed company and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as reputed company as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift reputed company, and a discretionary bonus in reputed company to reputed company pay.EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Originally posted on Himalayas
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