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Applied AI Engineer

Actively Reviewing the Applications

AquSag Technologies

India, Uttar Pradesh, Noida Full-Time On-site
Posted 1 day ago Apply by June 11, 2026

Job Description

Experience: 3-5 years

Job Type: Full-time (Contractual / Freelancing)

Location: Remote

Required Skills: Python, Machine Learning, JSON

Join our team as an Applied AI Engineer, where you will drive real-world impact by developing and deploying advanced AI solutions. You will collaborate with forward-thinking engineers and domain experts, leveraging your technical expertise to turn data into actionable insights. This is a unique opportunity to contribute to cutting-edge projects in a dynamic and fully remote environment.

Key Responsibilities

  • Design, develop, and implement machine learning models to solve diverse business challenges.
  • Collaborate cross-functionally to identify opportunities for AI integration and innovation.
  • Preprocess, analyze, and interpret complex datasets using Python and related data tools.
  • Develop APIs and data pipelines for seamless model integration and operationalization.
  • Optimize models for performance, scalability, and robustness in production environments.
  • Document methodologies, results, and workflows with clear, concise written communication.
  • Communicate technical concepts to both technical and non-technical stakeholders effectively.

Required Skills And Qualifications

  • Strong proficiency in Python for data analysis, modeling, and automation.
  • Extensive hands-on experience with machine learning frameworks and libraries.
  • Expertise in working with JSON data structures and API integrations.
  • Ability to translate business requirements into deployable AI solutions.
  • Excellent written and verbal communication skills, demonstrating a "care a lot" mindset for clarity and collaboration.
  • Experience with version control systems and collaborative development tools.
  • Self-driven, detail-oriented, and adaptable to a fast-paced remote work environment.

Preferred Qualifications

  • Background in deploying machine learning solutions in cloud environments.
  • Familiarity with MLOps tools and best practices.
  • Previous experience working with distributed remote teams.
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