Remote Engineer

Posted by:

DataFlow Services India Private Limited

Location:
  • Bengaluru, Karnataka (1)

    0-2 Yrs

    300,000 to 350,000 / Annually

    Posted: days ago

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    Job Highlights

    Role

    Industry

    • Security and Investigations

      Job Type

      Full-time

      Openings

      Applicants

      Apply Before

      Closing soon

      Job Overview

      As an AI Engineer at DataFlow Group, you will be an integral part of the Artificial Intelligence team, collaborating with senior engineers and data scientists to develop cutting-edge AI-driven solutions. Your role will involve:

      • - Assisting in collecting, cleaning, and preprocessing large datasets for machine learning model training.
      • - Implementing, testing, and fine-tuning various machine learning algorithms like Regression, Classification, and Clustering.
      • - Working on domain-specific models such as Computer Vision, Image Processing, and Natural Language Processing (NLP).
      • - Writing and maintaining efficient, well-documented Python code.
      • - Deploying and monitoring machine learning models in production environments.
      • - Performing statistical analysis, A/B testing, and thorough model evaluation.
      • - Staying updated with the latest advancements in AI and machine learning research.
      • - Collaborating with cross-functional teams for seamless integration of AI/ML solutions.

      Qualifications required for this role include:

      • - Bachelor's degree in Computer Science, Engineering, AI, or a related field.
      • - Proficiency in Python and experience with core ML libraries like Scikit-learn, Pandas, NumPy.
      • - Familiarity with at least one deep learning framework such as TensorFlow or PyTorch.
      • - Sound understanding of fundamental machine learning concepts and techniques.
      • - Basic knowledge of SQL and database concepts.
      • - Strong problem-solving skills and a keenness to learn quickly.
      • - Previous internship or project experience in AI/ML showcasing practical feature engineering or model development.
      • - Familiarity with version control systems like Git.
      • - Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker) for potential ML deployment.
      • - Ability to comprehend and summarize complex research papers with evidence of academic publications.
      • - Optimization Expertise: Demonstrated experience in optimizing application load times, rendering performance, and resource management.
      • - Grit & Speed: Comfortable working in high-pressure environments, meeting tight deadlines while maintaining quality standards. 

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      Role-Specific

      Qualification

      • Bachelor of Technology (B.Tech) - Computer Science & Engineering

      Benefits

      Eligibility


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      Journey

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      Application Date

      2026-05-17 00:00:00.0

      2026-08-15 00:00:00.0

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