Machine Learning Engineer - Data Science & AI
Job Description
This is a remote position.
Job Title: Machine Learning Engineer – Data Science & AI
Company: Dhan AI
Role: ML Engineer / Data Science Associate
Experience: Fresher / 0–1 years
Employment Type: Full-Time, Remote
Role Overview:
As a fresher ML Engineer, you'll work alongside experienced data scientists and ML engineers to build, train, and deploy machine learning models. You'll get hands-on exposure to the full ML lifecycle — from data wrangling to production deployment.
Responsibilities
Assist in building and evaluating ML/DL models for various business use cases
Perform exploratory data analysis (EDA) and feature engineering on real datasets
Write clean, efficient Python code for data pipelines and model training
Experiment with different algorithms and track results systematically
Collaborate with the engineering team to deploy models into production
Stay updated with the latest research and bring relevant ideas to the team
Requirements
Required Skills
Strong foundation in Python and its data ecosystem (NumPy, Pandas, Scikit-learn)
Understanding of core ML concepts — regression, classification, clustering, model evaluation
Familiarity with at least one deep learning framework (TensorFlow or PyTorch)
Basic knowledge of statistics and probability
Comfortable working with data — cleaning, transforming, and visualizing it
Familiarity with Git and version control
Good to Have
Experience with NLP, computer vision, or time series problems
Exposure to MLOps tools (MLflow, DVC, or similar)
Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI, etc.)
Knowledge of SQL and working with structured data
Prior internship or project experience with real datasets
Qualifications
B.Tech / B.E. / B.Sc. in Computer Science, Data Science, Mathematics, Statistics, or a related field (2024 or 2025 batch preferred)
Benefits
What We Offer
Fully remote work — work from anywhere
Direct exposure to cutting-edge AI and ML projects
Mentorship from experienced ML practitioners
A culture of experimentation and continuous learning
Fast-track growth opportunities as the company scales
