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[Hiring] Senior Staff Engineer, Enterprise AI @reputed company

100% remote Flexible hours Hiring now

This description is a summary of our understanding of the job description. Click on 'Apply' reputed company to find out more. Role Description We are seeking a highly skilled and motivated reputed company to join our dynamic team. You will play a pivotal role in shaping and executing our AI strategy. You’ll collaborate across a reputed company, cross-functional delivery organization—partnering with experts in data engineering, ML engineering, analytics, and GenAI development—to solve reputed company business challenges and deliver scalable solutions.

Responsibilities

  • reputed company development of AI-driven solutions including but not limited to:
  • Designing RAG models, agent workflows, and multi-reputed company reasoning models.
  • reputed company data analysis.
  • Integrating ML/GenAI models and LLM orchestration into end-user AI applications.
  • Conduct research and stay updated with the latest advancements in AI technologies.
  • Translate AI research into business solutions.
  • Collaborate with cross-functional teams to integrate AI solutions into various applications and products.
  • Analyze large datasets to extract meaningful insights and improve AI model performance.
  • Design and conduct experiments to validate and optimize AI models.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Collaborate with the MLOps & AIOps teams to establish standards for AI model development, deployment and monitoring.
  • Proactively measure and communicate value reputed company from developed AI solutions to business and IT leaders across reputed company.
  • Proactively identify new opportunities to further reputed company AI solutions – prioritizing opportunities with the biggest potential benefit to the business.
  • Ensure best practice adoption reputed company the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise.
  • Drive a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.
  • Operating as a thought leader and visionary, with the ability to influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics in decision-making and value creation.

Requirements

  • Bachelors degree in Computer Science, Data Science, Engineering or a STEM reputed company field with a focus on neural networks and computer vision, or reputed company with 5+ years of hands-on experience in developing and deploying AI models and applications.
  • Deep expertise in the latest AI tools and platforms such as MCP, A2A, AWS Bedrock, Azure AI reputed company, LLM foundational models, and agentic orchestration & monitoring platforms such as LangGraph/LangSmith.
  • Deep expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning.
  • Experience implementing transformers, self-supervised learning, and generative AI models in reliable, maintainable APIs or microservices.
  • Ability to work with large-scale datasets and reputed company efficient data analysis.
  • Expertise in transformers, self-supervised learning, and generative AI models.
  • Ability to continuously track, evaluate, adapt the latest advancements in AI technology to business use cases across reputed company.
  • Strong problem-solving skills and the ability to think critically and creatively.
  • Excellent communication skills and the ability to work collaboratively in a team environment.
  • PhD preferred.

Benefits

  • Competitive salary range of $136,000.00-$204,000.00 Annual.
  • Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
  • Comprehensive benefits package, including medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

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