EverestDX - Python Developer - Machine Learning

Key Responsibilities :

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

Required Skills & Competencies :

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.