Urgent opening for ML Engineer

Job Description:

Position- ML Engineer

Role & responsibilities-
Requirements and Responsibility
? Participate in discovery processes collaborating with key stakeholders to identify business
requirements and expected outcomes.
? Develop Neural Network models for information extraction from mortgage documents
using Computer Vision and NLP techniques.
? Deliver high-quality software based on best practices for data collection, modeling, and
software development
? Design and build scalable ML pipelines to serve Machine Learning models at scale.
? Perform ad-hoc analysis and present results in a clear manner to a wide audience and key
stakeholders.
? Design experiments, test hypotheses, and build models. Conduct advanced data analysis
and highly complex design algorithms.
? Apply advanced statistical, predictive, and machine learning modeling techniques to build,
maintain, and improve multiple real-time decision systems.
? Collaborate with development teams on deploying models to the production environment
to support ML-driven product features.
? Define business-specific performance metrics to measure model effectiveness. Monitor
and improve metrics over time for models used in production environments.
Qualification

? Experience in building production-grade Neural Network models using CV or NLP
techniques.
? 3-5 years of relevant ML engineering experience in building highly scalable ML pipelines
using distributed processing, distributed data access, and distributed deep learning
techniques.
? Hands-on programming experience in Python, Spark programming, Java, or other
programming languages.
? Excellent understanding of machine learning techniques and algorithms, such as k-NN,
Naive Bayes, SVM, Decision Forests, Neural Networks, etc.
? Experience with Deep Learning frameworks, such as TensorFlow, PyTorch, and MxNet.
? Proficiency in using query languages such as SQL, Hive, Pig, and NoSQL databases.
? Great communication skills and ability to convey complex topics to a cross-functional
audience.

Job Location: Pune