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Senior AI / ML Engineer

Senior AI / ML Engineer

Freelancer RecruiterAhmedabad
20 hours ago
Job description

Description :

Key Responsibilities :

Machine Learning / Artificial Intelligence :

  • Computer Vision : Image processing, Morphological transformations. Familiarity with Object detection / classification / tracking. Knowledge of Optical character recognition, relevant tools include Tesseract, easyOCR.
  • AI model development : Knowledge of deep learning frameworks such as TensorFlow and Pytorch.
  • Tool Knowledge : Familiarity with popular open-source AI frameworks such as OpenAI and Microsoft CoPilot.

Software Deployment :

  • REST API : Host the AI / ML model through Django REST API.
  • Cloud : Familiarity with tools such as AWS EC2, Lambda and S3. Data security concepts such as IAM authentication.
  • Version Tracking : Code and Data version tracking through GitHub / Gitlab.
  • Code Development : Strictly follow the principle of Modularity, code-readability and code-transferability.
  • Documentation : Documenting the progress in a comprehensible way to assist future references.
  • Data Engineering (Good to have but not necessary) :

  • Data Pipelines : Develop modular and efficient ETL (Extract Load and Transform Pipelines). Orchestrate the pipelines through tools such as Dagster / Airflow. Ability to handle both structured and unstructured data.
  • Data Warehousing : Normalization / Denormalization, Partitioning. Data storage and querying techniques to avoid any memory issues.
  • Data Visualization : Develop data UI applications using Django. Familiarity with tools such as PowerBI, Tableau.
  • Data Analysis : Tabular data analysis through SQL, Pandas, Polars etc.
  • Predictive Analysis : Develop machine learning predictive models using Scikit-learn, Scipy etc.
  • Big Data Processing : Familiarity with big data frameworks such as Apache spark / Pyspark.
  • Ideal Candidate Profile :

    Qualifications & Experience :

  • Bachelors / masters degree in computer science, Data Science, Statistics, Engineering, or a related field.
  • 2-5 years of experience in data science, engineering, and visualization.
  • Strong experience in data analytics, AI / ML, and business intelligence tools.
  • (ref : hirist.tech)

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