Artificial Intelligence Model Specialist

2 weeks ago

Mumbai, Maharashtra, India beBeeMachineLearning Full time US$ 1,20,000 - US$ 2,00,000
Job Title: AI Algorithm Developer

 

  • Design and develop AI/ML algorithms for ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification in digital advertising.
  • Identify valuable data sources and automate data engineering and ETL processes from ad serving events.
  • Develop strategies for data preparation, including structured and unstructured data.
  • Perform feature engineering and analyse large amounts of data from ad serving event logs to identify trends, patterns, and anomalies in bidding and ad decisioning.
  • Ensure data privacy and security while conducting data analysis and modelling.
  • Conduct experiments to validate hypotheses and test new algorithms.
  • Build minimum viable products (MVPs) using a proof-of-concept approach, focusing on scalability, speed, and accuracy.
  • Build and maintain predictive models, dashboards, and automated reports to monitor performance and support decision-making.
  • Collaborate with cross-functional teams, such as product, engineering, and sales, to ensure seamless integration of algorithms with other systems and processes.
  • Stay up-to-date with the latest industry developments, advancements, and technologies in prediction and classification.
  • Understand and implement diverse strategic ML/AI algos as per industry best practices and create high-impact, high-value training models.
  • Communicate results and recommendations to stakeholders, including non-technical audiences, using data visualization techniques.
Required Skills:
  • 3+ years of proven experience as a Data Scientist.
  • Experience applying Data Science techniques in the field of Digital Advertising is a must.
  • Extensive knowledge and practical experience in machine learning, neural networks, and statistics, with a focus on data modelling, engineering, and mining.
  • Understanding of machine learning and operations research, along with experience using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost, etc.) and real-time data processing.
  • Understanding of the latest advancements announced via industry research communities and research papers.
  • Proficiency in programming languages like R, Julia, Python, SQL, or Apache Spark.
  • Excellent analytical and problem-solving aptitude, critical thinking skills, strong mathematical abilities (statistics, algebra), and effective communication and presentation skills.
  • Experience using Business Intelligence Tools and Distributed cloud data frameworks.
  • Curiosity and a strong desire for continuous learning.
  • Bachelor's or Master's degree (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Operations Research, or a related field.

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