Python ML developers

• 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:

• 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:

• 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:

• 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: