Machine Learning Engineer

2 weeks ago

Bengaluru, India Maganti IT Resources, LLC Full time

We have an excellent new position available in Compliance Engineering, for Global banking & Markets. The team is searching for dedicated individuals who thrives in a collaborative and challenging environment. You will work alongside a global team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. You will leverage your creative thinking and machine learning skills to influence and drive the team to deliver these complex projects.


We

  • Build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm.
  • have access to the latest technology and to massive amounts of structured and unstructured data.
  • leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications.
  • Within Compliance engineering, we are looking for a Machine Learning Engineering role within Models Engineering. The firm is making a significant investment to improve the precision/recall of the Compliance models portfolio in 2024. To achieve that we are hiring experienced MLEs who have experience in developing and deploying ML models for big data in a distributed architecture.


HOW YOU WILL FULFILL YOUR POTENTIAL


As a member of the team, you will:


  • Work with large-scale structured and unstructured data. Drive end-to-end Machine Learning projects that have a high degree of scale and complexity.
  • Build infra for machine learning which involves feature engineering and scaling models to work at scale.
  • Develop, productionize, and maintain ML models.
  • Run ML experiments by constantly tuning the features and the modeling approaches, documenting findings and results.
  • Collaborate closely with ML researchers to accelerate the usage of cutting-edge models.
  • Perform code reviews and ensure code quality.


QUALIFICATIONS


A successful candidate will possess the following attributes:


  • A Bachelor’s or Master’s degree in Computer Science, or a similar field of study.
  • 6+ years of hands-on experience with building scalable machine learning systems.
  • Solid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design).
  • Expertise in Python & PySpark.
  • Experience in working with distributed technologies like Scala, Pyspark, Iceberg, HDFS file formats (Avro, Parquet), AWS/GCP, big data feature engineering.
  • Experience in system design and evaluating the pros and cons of database choices, schema definition for data storage.
  • Extensive experience with Machine Learning and Deep Learning toolkits (TensorFlow, PyTorch, Scikit-Learn, HuggingFace).

Compensation

  • Competitive salary and benefits package, commensurate with experience

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