One of my clients is looking for a candidate who is a fresh graduate or with less than one year experience with the below given skills:
This role is ideal for candidates with foundational experience in Python, SQL, and exposure to machine learning (ML) concepts, who are eager to learn, grow, and contribute to real-world projects.
As part of the team, you will work on designing, developing, and optimizing applications and data-driven solutions while collaborating with senior engineers and data scientists.
Key Responsibilities
- Develop, test, and maintain applications and scripts using Python.
- Write efficient SQL queries for data extraction, transformation, and analysis.
- Collaborate with senior engineers to integrate ML models into software systems.
- Participate in code reviews, debugging, and performance optimization.
- Assist in designing data pipelines and workflows for analytics and reporting.
- Stay updated with industry best practices in software engineering and ML.
- Document code, processes, and technical designs clearly.
Required Qualifications
- 0-1 year of professional or academic project experience with Python and SQL.
- Exposure to traditional machine learning techniques (e.g., regression, classification, clustering).
- Understanding of software development lifecycle (SDLC) and version control (Git).
- Strong problem-solving skills and eagerness to learn new technologies.
Preferred Qualifications (Nice to Have)
- Familiarity with libraries like scikit-learn, pandas, NumPy.
- Exposure to data visualization tools (e.g., Matplotlib, Seaborn, or Power BI/Tableau).
- Experience with basic cloud platforms (AWS, Azure, or GCP).
- Knowledge of APIs and web frameworks (e.g., Flask, FastAPI, or Django).
