Job Description

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Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution Collaborate with CPU GPU and Neural Engine hardware backends to push inference performance and efficiency Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models including large language models Automate data processing and extraction Engage with sales team to find opportunities understand requirements and translate those requirements into technical solutions Develop reusable ML models and assets into production

Key Responsibilities:

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Excellent Python programming and debugging skills Refer to Pytho JD given below Proficiency with SQL relational databases non relational databases Passion for API design and software architecture Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners Experience with modern neural network architectures and deep learning libraries Keras TensorFlow PyTorch Experience unsupervised ML algorithms Experience in Timeseries models and Anomaly detection problems Experience with modern large language model Chat GPT BERT and applications Expertise with performance optimization Experience or knowledge in public cloud AWS services S3 Lambda Familiarity with distributed databases such as Snowflake Oracle Experience with containerization and orchestration technologies such as Docker and Kubernetes

Technical Requirements:

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2 years Python Data Science skillset 5 years of experience with building data pipelines data processing and reporting using Python Python libraries numpy Pandas matplotlib seaborn Scikitlearn Data Science Data Manipulation Wrangling time series forecasting etc prior experience in any data science project building data pipelines data processing and reporting Experience of using Agile based development methodologies Good understanding software development and Enterprise architecture patterns Hands on experience with open source big data technologies Data processing experience with Streaming data wrangling crawling using Python libraries Expertise and understanding of common methods in data transformation Ability to understand API Specs determine relevant API calls ETL i e Extract Transform Load data and implement SQL friendly data structures

Additional Responsibilities:

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Python application development 4 in python scala Python experience in using file operation OOPS multiprocessing and threading SQL and PL SQL development RDBMS and Data modelling Experience in REST service development Experience in docker and kubernetes deployments Basic idea of Cloud architecture and services

Preferred Skills:

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Technology->Machine Learning->Python,Technology->Database->Microsoft SQL Server,Technology->Cloud Platform->Amazon Webservices Managed Services,Technology->Data on Cloud-DataStore->Snowflake