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GCP ML Engineer (Vertex AI)
GCP ML Engineer (Vertex AI)Openkyber • DC, United States
GCP ML Engineer (Vertex AI)

GCP ML Engineer (Vertex AI)

Openkyber • DC, United States
4 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

Hi, We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details. Job Title : Developer Premium II - AI Engineer Location : Washington, DC Hybrid Onsite : 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.

AI Engineer : The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision-making, and support strategic initiatives for the environmental and social specialists within the client. This role is central to the VPU s digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.

Qualifications and Experience

Education : Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related field.

Experience :

  • Minimum 3 years of experience in AI / ML model development and deployment.
  • Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, Google Cloud Platform).
  • Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions.

Technical Skills :

  • Skilled in Azure AI / Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model development, API Management (facilitates access to different sources of data)
  • Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
  • Expertise in deep learning, computer vision, and large language models.
  • Familiarity with REST APIs, NoSQL, and RDBMS.
  • Certifications (Preferred) :

  • Microsoft Certified : Azure AI Engineer Associate
  • Google Machine Learning Engineer
  • SAFe Agile Software Engineer (ASE)
  • Certification in AI Ethics
  • Objectives of the Assignment :

  • Develop and implement AI models and algorithms tailored to business needs.
  • Integrate AI solutions into existing systems and workflows.
  • Ensure ethical compliance and data privacy in all AI initiatives.
  • Support user adoption through training and documentation.
  • Support existing AI solutions by refinement, troubleshooting, and reconfiguration
  • Scope of Work and Responsibilities :

    AI Solution Development :

  • Collaborate with cross-functional teams to identify AI opportunities.
  • Train, validate, and optimize machine learning models.
  • Translate business requirements to technical specifications.
  • AI Solution Implementation

  • Develop code, deploy AI models into production environments, and conduct ongoing model training
  • Monitor performance and troubleshoot issues and engage in fine-tuning the solutions to improve accuracy
  • Ensure compliance with ethical standards and data governance policies.
  • User Training and Adoption :

  • Conduct training sessions for stakeholders on AI tools.
  • Develop user guides and technical documentation.
  • Data Analysis and Research :

  • Collect, preprocess, and engineer large datasets for machine learning and AI applications.
  • Recommend and Implement Data Cleaning and Preparation
  • Analyse and use structured and unstructured data (including geospatial data) to extract features and actionable insights.
  • Monitor data quality, detect bias, and manage model / data drift in production environments.
  • Research emerging AI technologies and recommend improvements.
  • Governance, Strategy, Support, and Maintenance :

  • Advise client's staff on AI strategy and policy implications
  • Contribute to the team s AI roadmap and innovation agenda.
  • Provide continuous support and contribute towards maintenance and future enhancements.
  • Deliverables :

  • Work on Proof of Concepts to study the technical feasibility of AI Use Cases
  • Functional AI applications integrated into business systems.
  • Documentation of model / application architecture, training data, and performance metrics.
  • Training materials and user guides.
  • Develop, train, and deploy AI models tailored to business needs
  • Create a job alert for this search

    Ai Ml Engineer • DC, United States

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