Machine Learning Engineer @ Advance Immigrations

Job Description

Profile-ML Engineer Contract Duration : Initial 3 Month (Will be renewable based on performance ) Location : Bangalore Mandatory - Pyspark, Databrick, AB testing, Machine learning, Cloud deployment on Azure Knowledge on AB testing: The candidate should have a solid understanding of AB testing methodologies, which are commonly used in data-driven decision-making processes to evaluate the effectiveness of different strategies or interventions. Causal Inference: Proficiency in causal inference is crucial for understanding cause-and-effect relationships in data and making informed decisions based on observational data. Expert in Object-oriented Python programming: Strong expertise in Python programming, particularly in object-oriented programming, is essential for developing machine learning models and algorithms efficiently. Pyspark: Experience with PySpark, which is a Python API for Apache Spark, is important for handling large-scale data processing tasks. efficiently. Databricks: Familiarity with Databricks, a unified analytics platform optimized for Azure, is valuable for managing big data and running collaborative data science projects. Cloud deployment on Azure: Proficiency in deploying machine learning models on the Azure cloud platform is necessary for scalability and accessibility of the developed solutions. FAST API: Knowledge of FAST API, a modern web framework for building APIs with Python, is beneficial for creating scalable and high-performance web services to deploy machine learning models. Docker: Experience with Docker, a popular containerization platform, is important for packaging machine learning applications into containers for easy deployment and management. Git: Proficiency in Git, a version control system, is essential for collaborative software development and tracking changes in code repositories Knowledge on package managers such as PIP and POETRY: Understanding package management tools like PIP and Poetry is crucial for managing dependencies and libraries in Python projects effectively

Employement Category:

Employement Type: Full time
Industry: IT
Role Category: IT Services & Consulting
Functional Area: Not Applicable
Role/Responsibilies: Machine Learning Engineer

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Keyskills:   Machine learning Causal Inference Docker Git PIP POETRY Pyspark Databrick AB testing Cloud deployment on Azure Objectoriented Python programming FAST API