Urgent opening for the ML Engineer profile for an IT company for Chandigarh location

1 week ago


Chandigarh, Chandigarh, India T & A HR Solutions Full time
Posted on -February 8, 2023
Designation - ML Engineer
Location - Chandigarh
Experience - 3-8 Years
Salary LPA
Gender - Any
Qualification - Graduation
Skills - Data structures, Data modelling, Python and Java.
Target Industry - IT

JD:

  • Productionize ML/AI models around semantic understanding and personalization
which power our Search and Recommendation applications.

  • Building fast and scalable data pipelines aggregating various data sources.
  • Participate in lean and agile development processes in a test and
monitoring-driven environment, while collaborating with Data Scientists and
Product Managers.

  • Crunch historical data, search queries, product catalog, and images to extract
hidden relations and features.

  • Conduct research to explore cutting edge ML / MLOps stack and ability to
execute a quick POC.

  • Lead the effort to integrate and scale the ML components to a production-level
that can handle terabytes of data.

Qualifications:

  • BS/MS degree in Computer Science or a related discipline with a strong
understanding of algorithms and data structures (Preferably from Tier 1 or 2
college)

  • 3+ years experience building ML-driven fast and scalable ML/analytical
algorithms in a corporate/startup environment using Python, Spark/MLlib and
Hadoop.

  • Experience working with distributed systems in a cloud-based production
environment (AWS).

  • Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure
to data streaming stack (e.g. Kafka)

  • Relevant experience in fine tuning and optimizing ML (especially Deep Learning)
models to bring down serving latency.

  • Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
  • Excellent exploratory data analysis skills with ability to slice and dice data at
scale using SQL in Redshift/BigQuery.

  • Decent understanding of various machine learning and natural language
processing technologies, such as classification, information retrieval, clustering,
knowledge graph, semi-supervised learning and ranking.

  • Excellent problem solving, analytical and communication skills.
  • Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques
(Representation/Transfer Learning, RNN/LSTM, Transformers).
#ML #machinelearning #deeplearning #nlp #dataengineer

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