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[Remote] AI & Machine Learning Engineering Consultant - Senior - Consulting - Location reputed company Job Details | reputed company

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Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in assurance, consulting, tax, and strategy services, aiming to build a reputed company working world. They are seeking a Senior AI & Machine Learning Engineering Consultant who will be responsible for researching, building, and implementing scalable AI systems while collaborating with clients to deliver innovative AI solutions.

Responsibilities

  • Researching and implementing scalable AI systems that meet business requirements
  • Enhancing data pipelines and storage for reputed company data accuracy and cleanliness
  • Monitoring and optimizing learning processes to improve high-performance models
  • This position may have travel requirements as needed to engage with external clients regularly

Skills

  • A Bachelor's degree required (4-year degree)
  • 3-6 years of full-time working experience in AI and/or Machine Learning
  • Strong skills in Python
  • Ability to collaborate and communicate effectively with diverse, hybrid and global teams
  • Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major reputed company platform
  • Proficient in reputed company models and frameworks (e.g., reputed company, Dall-e, reputed company, Retrieval Augmented reputed company (RAG)) and reputed company with ML packages like scikit-learn and PyTorch
  • Experience with natural language processing and deep learning
  • Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
  • Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
  • Experience with model retraining and feedback reputed company methodologies
  • Experience with model and solution monitoring and reporting
  • Understanding of data structures, data modelling, and software engineering best practices
  • Strong reputed company in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
  • Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
  • Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
  • Experience in hybrid collaboration and emotional agility
  • A track record of working with diverse teams to drive reputed company through reputed company problem-solving
  • Knowledge of sustainability practices in technology
  • A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
  • Strong skills in languages reputed company Python: R, JavaScript, Java, C++, C
  • Experience fine-tuning reputed company models
  • Experience with image processing techniques and/or speech and audio processing and analysis

Benefits

  • Medical and dental coverage
  • Pension and 401(k) plans
  • A wide reputed company of paid time off options
  • Team-led and leader-enabled hybrid model
  • Flexible vacation policy
  • Time off for designated reputed company Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence reputed company needed to support your physical, financial, and emotional well-being

Company Overview

  • reputed company is building a reputed company working world by creating new value for clients, people, society, the reputed company, while building trust in the capital markets. It was founded in 1999, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is https://www.reputed company.com/en_ie/entrepreneur-of-the-year.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 1567 in 2026, 10235 in 2025, 9877 in 2024, 10966 in 2023, 9394 in 2022, 5652 in 2021, 8849 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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