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Machine Learning Engineer

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AquSag Technologies

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Location:
India , Noida

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Join our team as an expert Machine Learning Engineer, where you will leverage your advanced technical skills to design, develop, and optimize state-of-the-art machine learning models. You will play a pivotal role in solving complex data challenges, collaborating closely with cross-functional stakeholders, and driving impactful results in a fully remote environment.

Job Responsibility:

  • Develop, train, and deploy machine learning models using TensorFlow and Scikit-Learn to address real-world business problems
  • Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development
  • Collaborate with data scientists, data engineers, and business analysts to understand requirements and translate them into scalable ML solutions
  • Continuously monitor, evaluate, and refine model performance to ensure accuracy, efficiency, and reliability in production environments
  • Document model development processes and proactively communicate technical concepts and results with both technical and non-technical team members
  • Stay abreast of the latest research and advancements in machine learning and apply innovative techniques to enhance project outcomes
  • Contribute to a culture of knowledge sharing, mentorship, and continuous improvement within the customer's team

Requirements:

  • Expert-level proficiency in TensorFlow and Scikit-Learn for end-to-end model development and deployment
  • Strong background in data preprocessing, including handling missing values, outlier detection, and feature selection
  • Excellent written and verbal communication skills, with the ability to convey complex technical information clearly
  • Demonstrated experience in designing and implementing production-ready machine learning systems
  • Solid understanding of algorithm selection, model evaluation metrics, and performance tuning
  • Ability to work independently and remotely, delivering results in a fast-paced, deadline-driven environment
  • Detail-oriented with exceptional problem-solving and analytical skills

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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