EverestDX - Python Developer - Machine Learning

Overview

• Python Development :
• Develop robust and efficient data processing scripts, automation tools, and backend components using Python.
• Build and maintain machine learning model pipelines, reusable modules, and data utilities.
• Integrate Python applications with databases, APIs, and cloud services.
• Optimize code for performance, scalability, and readability.
• Data Science & Analytics :
• Apply data science techniques to analyze datasets, derive insights, and support business decision-making.
• Implement statistical methods, predictive models, and data transformations.
• Collaborate with Data Scientists to deploy models into production environments.
• Conduct exploratory data analysis (EDA), data cleaning, and feature engineering.
• SQL & Data Engineering :
• Write complex SQL queries to extract, transform, and analyze data from relational databases.
• Work with large datasets and contribute to designing efficient data structures.
• Collaborate with data engineers to improve data pipelines and workflows.
• Cloud & DevOps :
• Work on cloud platforms including Azure (preferred), AWS, or GCP for data and compute workloads.
• Utilize DevOps tools for CI/CD, version control, and automated deployments. Work with containerization technologies such as Docker (preferred).
• Assist in setting up and managing cloud-based data environments and monitoring processes.
• Collaboration & Stakeholder Engagement :
• Collaborate with Business Units (BU), vendors, and cross-functional teams to understand requirements.
• Translate business problems into technical solutions using data-driven approaches.
• Present results, findings, and technical solutions in a clear and concise manner.
• Participate in Agile ceremonies like sprint planning, retrospectives, and reviews.
  
  

Technical Skills :

Python Development

• Minimum 4+ years of strong programming experience with Python, including libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, etc.
• Data Science : Minimum 2+ years of hands-on data science experience including EDA, ML models, and data wrangling.
• SQL : Minimum 2+ years of experience writing efficient SQL queries.
• Cloud Platforms : Hands-on experience with any cloud service provider (Azure preferred, AWS, or GCP).
• DevOps Knowledge : Experience with Git, CI/CD pipelines, version control, and automation tools.
• Soft Skills Strong analytical thinking and problem-solving abilities.
• Ability to engage with stakeholders and vendors with clarity and professionalism.
• Excellent communication skills, both written and verbal.
• Ability to work in a collaborative, fast-paced team environment.
• Detail-oriented with a focus on accuracy and quality.
  
  

(ref:hirist.tech)