IT Talent Acquisition Specialist
Artemys
Recruit IT infrastructure professionals for Artemys, a digital transformation company. Lead sourcing and hiring while contributing to employer branding initiatives.
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Accenture Federal Services अमेरिकी संघीय सरकार को प्रौद्योगिकी और परामर्श सेवाएँ प्रदान करती है। Accenture के हिस्से के रूप में, यह कंपनी परामर्श, रक्षा और लॉजिस्टिक्स के क्षेत्रों में काम करती है तथा संघीय एजेंसियों को क्लाउड, साइबर सुरक्षा, डेटा और कृत्रिम बुद्धिमत्ता, डिजिटल इंजीनियरिंग और अन्य उभरती प्रौद्योगिकियों के माध्यम से जटिल परिचालन और मिशन संबंधी आवश्यकताओं को पूरा करने में सहायता करती है। इसके कार्यों में सुरक्षित और बड़े पैमाने पर संचालित किए जा सकने वाले डिजिटल सिस्टम विकसित करना, निर्णयों को बेहतर बनाने के लिए डेटा-आधारित अंतर्दृष्टियों का उपयोग करना और सरकारी बुनियादी ढाँचे का आधुनिकीकरण करना शामिल है। कंपनी लचीले और प्रभावी सार्वजनिक क्षेत्र के संचालन में सहायता के लिए अनुसंधान एवं विकास तथा मानव-केंद्रित डिज़ाइन का भी उपयोग करती है।
AI/ML Engineer – Remote in Virginia
Design and deploy Vertex AI and generative AI solutions for U.S. federal agencies. Build production machine learning pipelines, intelligent agents, and secure, governed cloud architectures.
संयुक्त राज्य
वर्जीनिया$1,03,200 – $1,96,400 / वर्ष
रिमोटपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीमशीन लर्निंग इंजीनियरविवरण
- Work with stakeholders to define AI and machine learning use cases and convert business requirements into technical solutions
- Design, develop, fine-tune, and assess machine learning and generative AI models using Vertex AI, Gemini, LLMs, RAG, embeddings, deep learning, and open-source tools
- Build complete machine learning pipelines for data ingestion, feature engineering, orchestration, and model and prompt CI/CD
- Deploy scalable models and agents while overseeing monitoring, drift detection, and production issue resolution
- Partner with data engineering teams to develop reliable data architectures using BigQuery, Dataflow, Pub/Sub, and Feature Store
- Apply Responsible AI, security, governance, and compliance practices, including IAM, encryption, and auditing
- Coordinate with product owners, platform teams, DevOps/SRE professionals, and junior engineers to deliver dependable AI systems
- Conduct experiments, prototypes, exploratory analysis, hyperparameter tuning, and documentation for pipelines and workflows
आवश्यकताएँ
- U.S. citizenship and eligibility for Public Trust clearance
- 3–6 or more years of experience in machine learning engineering, data science, or AI development
- At least 3 years of experience leading technical teams toward defined objectives and outcomes
- Experience creating and implementing technical standards, systems, and processes across cloud and on-premises environments
- Demonstrated expertise in recommending technology strategies and making technical decisions
- Experience providing technical guidance and support to maintain compliance with standards and policies
- Experience with Google Storage capabilities, including access control, versioning, encryption, lifecycle management, logging, backups, static files, machine learning workflows, Storage Transfer Service, Cloud Storage, Cloud Storage for Firebase, Filestore, Google Workspace Essentials, Local SSD, and Persistent Disk
- Proficiency in Python and SQL
- Experience with TensorFlow, PyTorch, scikit-learn, Transformers, LLM fine-tuning, and RAG architectures
- Experience with Vertex AI, Gemini APIs, BigQuery, Cloud Storage, KMS, and IAM
- Experience with Vertex AI Pipelines, Dataflow, Pub/Sub, and Feature Store
- Experience with Vertex AI Search, AI agents, RAG solutions, or vector databases such as Vertex Vector Search, Pinecone, or Milvus
- Experience deploying AI workloads through Kubernetes or microservices architectures
- Google Cloud Professional certification in Machine Learning Engineer, Data Engineer, or Cloud Architect
- Hands-on experience with Vertex AI, Gemini APIs, or comparable cloud AI and machine learning platforms
- Advanced Python development skills and familiarity with machine learning frameworks
- Strong knowledge of LLMs, embeddings, vector search, and generative AI methods
- Authorization to work in the United States without current or future visa sponsorship
- Preferred: knowledge of Responsible AI, bias mitigation, and model interpretability
- Preferred: familiarity with GCP operational services such as IAM, KMS, Logging/Monitoring, VPC, and Cloud Storage
- Preferred: exposure to AWS or Azure equivalents and third-party security, observability, or DevOps tools
- Preferred: master’s degree and experience in federal or regulated industries
लाभ
- Supportive, collaborative workplace community
- Practical, hands-on project experience
- Professional certification opportunities
- Industry-focused training
- Broad benefits offering
- Reasonable accommodations for disabilities or religious observances during recruitment and employment
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