Full‑Stack Developer

Job Description

Location :  Baner, Pune (In‑Person)

Position : Full‑Time / Paid Internship leading to Full‑Time (On‑site Required)

About the Role

Join Wynisco’s growing engineering team to conceptualize, build, and maintain high‑performance web applications and API services built with FastAPI, React, PostgreSQL, and ML tools. You’ll be instrumental in end‑to‑end feature delivery—from designing database schemas and APIs to creating polished user interfaces and integrating machine learning models.

Key Responsibilities

Design and implement RESTful APIs with FastAPI , backed by SQLAlchemy & PostgreSQL

Develop responsive front‑ends using React , JavaScript / TypeScript, HTML / CSS

Write thorough unit and integration tests; participate in code reviews and agile ceremonies

Deploy and monitor services (Docker, CI / CD pipelines)

Build simple ML pipelines—data cleaning, model training, and integration with APIs using TensorFlow , scikit‑learn , NumPy , Pandas

Collaborate with cross‑functional team members—designers, data scientists, and product owners

Requirements Required Qualifications

B.Tech / M.Tech in CSE or related discipline (or equivalent)

Strong Python experience, including FastAPI

Experience with relational databases (PostgreSQL) and SQLAlchemy

Proficient in React , with solid HTML / CSS / JavaScript / TypeScript skills

Practical skills in TensorFlow , scikit‑learn , NumPy , and Pandas

Familiarity with Docker, version control (Git), and CI / CD principles

Nice-to-Have

Experience with asynchronous programming, caching (e.g. Redis)

Familiarity with cloud platforms (AWS / Azure / GCP)

Knowledge of MLOps tools like MLflow or DVC

Prior exposure to full ML model deployment pipelines

Benefits Why You'll Love Wynisco

Hands-on experience with real-world projects from day one

Mentorship from senior engineers and exposure to modern tech stacks

A supportive, growth-oriented work culture

Paid compensation and clear path to full-time employment post-internship

Requirements

Required Skills Bachelor’s / Master’s in Computer Science, Statistics, Mathematics, Engineering, or related field. Strong proficiency in Python, including NumPy, Pandas, and scikit‑learn. Solid SQL knowledge and experience with relational databases (PostgreSQL preferred). Experience with data visualization tools : Tableau, Power BI, or Python tools (Matplotlib, Seaborn). Familiarity with RESTful API usage (FastAPI knowledge beneficial). Excellent analytical thinking, attention to detail, and problem-solving skills. Nice-to-Haves Exposure to CRM / data systems like Salesforce, HubSpot, or Shopify Ability to interface with APIs to fetch and analyze CRM / shop data. Basic experience with ML techniques and libraries : scikit‑learn, TensorFlow. Working knowledge of Docker, CI / CD, Git, or cloud platforms (AWS, GCP, Azure). Understanding of data quality frameworks and ETL pipelines.