Job Title: Machine Learning Engineer

DVA; Surat; On-site; INR 600,000 - 1,000,000; Full time

Job summary

DVA is seeking a Machine Learning Developer in Gujarat to develop, train, and evaluate machine learning models while collaborating with software engineers. Full-time (Hybrid) candidates with a Bachelor's degree in Computer Science or related field are encouraged to apply.

The role requires knowledge of Python, ML fundamentals, and experience with tools like NumPy and Pandas. Ideal for final-year students and recent graduates with 0-2 years of relevant experience.

Qualifications

• 0-2 years of machine learning, data science, or AI development experience required (internships/projects acceptable).
• Final-year students and recent graduates may also apply.

Responsibilities

• Develop, train, and evaluate machine learning models.
• Collect, clean, and preprocess structured and unstructured datasets.
• Collaborate with engineers to integrate ML models into applications.
• Perform feature engineering and model optimization.
• Analyze model performance to improve prediction accuracy.
• Conduct experiments and document findings.
• Assist in deploying machine learning solutions.
• Stay updated with advancements in ML and AI.

Skills

Python

Machine Learning fundamentals

NumPy

Pandas

Scikit-learn

Data preprocessing and feature engineering

Statistics and probability

Git / version control

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

SQL

FastAPI

Flask

Docker

AWS

Azure

GCP

Job description

Department: Engineering

Employment Type: Full-time (Hybrid), Ahmedabad, Gujarat

Experience Required

0-2 years of machine learning, data science, or AI development experience (internships/projects count).

Education

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field
• Final-year students and recent graduates may also apply

Key Responsibilities

• Develop, train, and evaluate machine learning models
• Collect, clean, and preprocess structured and unstructured datasets
• Collaborate with software engineers to integrate ML models into applications
• Perform feature engineering and model optimization
• Analyze model performance and improve prediction accuracy
• Conduct experiments and document findings
• Assist in deploying machine learning solutions to production environments
• Stay updated with advancements in machine learning and artificial intelligence

Mandatory Skills

• Python
• Machine Learning fundamentals
• NumPy
• Pandas
• Scikit-learn
• Data preprocessing and feature engineering
• Statistics and probability
• Git / version control

Preferred Skills

• Deep Learning (TensorFlow or PyTorch)
• Natural Language Processing (NLP)
• Computer Vision
• SQL and database concepts
• Model deployment (FastAPI, Flask, or Docker)
• Cloud platforms (AWS, Azure, or GCP)
• Kaggle competitions, research work, or personal ML projects
• Basic MLOps knowledge