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 youll work alongside experienced data scientists and ML engineers to build train and deploy machine learning models. Youll 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.E. / . 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
Required Skills:
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
Required Education:
/ B.E. / . in Computer Science Data Science Mathematics Statistics or a related field (2024 or 2025 batch preferred)
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 youll work alongside experience...
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 youll work alongside experienced data scientists and ML engineers to build train and deploy machine learning models. Youll 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.E. / . 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
Required Skills:
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
Required Education:
/ B.E. / . in Computer Science Data Science Mathematics Statistics or a related field (2024 or 2025 batch preferred)
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Monthly Salary:
Experience Required:
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