Machine Learning Engineer

2 weeks ago

bangalore, 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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