Machine Learning Engineer - Data Science & AI

This is a remote position.

Job Title: Machine Learning Engineer Data Science & AI

Company: Dhan AI

Role: ML Engineer / Data Science Associate

Experience: Fresher / 01 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 This is a remote position.

Job Title: Machine Learning Engineer Data Science & AI

Company: Dhan AI

Role: ML Engineer / Data Science Associate

Experience: Fresher / 01 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