Applied AI Engineer

13 hours ago

Noida, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,04,000 - ₹ 1,30,878
Key Responsibilities

We are looking for talented professionals to join our team of applied scientists working on machine learning components in the sponsored search stack. Our work involves designing, implementing, analyzing, and tuning complex algorithms and ML systems for ad matching, filtration, ranking, and multiobjective optimization.

You will gain a deep understanding of a broad area of research and applicable research techniques. You'll also develop a strong knowledge of industry trends and share your expertise with immediate team members.

Qualifications

To be successful in this role, you will need:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
  • Experience with TensorFlow/PyTorch and deep learning models.
  • Solid understanding of probability, statistics, machine learning, data science.
  • A/B testing & analysis of ML models, and optimizing models for accuracy.
  • Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models.
  • End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
  • Experience implementing machine learning algorithms or research papers from scratch.

In addition, you must be able to meet Microsoft security screening requirements.

About Us

We empower every person and every organization on the planet to achieve more. We come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.

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