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Machine Learning-AI & ML Engineer

ADVENT GLOBAL SOLUTIONS

India · On-site Full-time Lead Today

About the role

About the Role

As an AI / ML Engineer, your role will involve developing applications and systems utilizing AI tools and Cloud AI services to create production-ready cloud or on-prem application pipelines. You will be expected to apply GenAI models as part of the solution, incorporating deep learning, neural networks, chatbots, and image processing. You are expected to bring your expertise in Machine Learning to the team, contributing to cutting-edge solutions and driving innovation in AI/ML technologies.

Key Responsibilities

  • Be the Subject Matter Expert (SME) in the field.
  • Collaborate with and manage the team effectively.
  • Make team decisions and lead in key decision-making processes.
  • Engage with multiple teams and provide solutions that cater to the needs of different departments.
  • Lead research and development efforts in AI/ML technologies.
  • Implement and optimize machine learning models.
  • Perform data analysis and interpretation to derive valuable business insights.

Qualifications Required

  • Minimum of 7.5 years of experience in Machine Learning.
  • Educational qualification of 15 years of full-time education.

Additional Company Details

The company values:

  • Proficiency in Machine Learning.
  • A strong understanding of statistical analysis and machine learning algorithms.
  • Experience with data visualization tools like Tableau or Power BI.
  • Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
  • A solid grasp of data munging techniques for data cleaning, transformation, and normalization to ensure data quality and integrity.

Requirements

  • Proficiency in Machine Learning
  • Strong understanding of statistical analysis and machine learning algorithms
  • Experience with data visualization tools like Tableau or Power BI
  • Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms
  • Solid grasp of data munging techniques for data cleaning, transformation, and normalization to ensure data quality and integrity.

Responsibilities

  • Be the Subject Matter Expert (SME) in the field.
  • Collaborate with and manage the team effectively.
  • Make team decisions and lead in key decision-making processes.
  • Engage with multiple teams and provide solutions that cater to the needs of different departments.
  • Lead research and development efforts in AI/ML technologies.
  • Implement and optimize machine learning models.
  • Perform data analysis and interpretation to derive valuable business insights.

Skills

AWS LambdaChatbotsCloud AI servicesDeep learningGenAI modelsImage processingLinear regressionLogistic regressionMachine learningNeural networksPower BITableau

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