Machine Learning Engineer

Yugasa; Gurugram District; On-site; INR 223,000 - 335,000; Full time

Job summary

Yugasa in Gurugram, Haryana is seeking an aspiring ML engineer to work on end-to-end machine learning projects. You will preprocess data, train models, evaluate performance, and iterate designs to improve accuracy. Fresh graduates with solid ML fundamentals and portfolio projects are encouraged to apply.

Ideal candidates have strong Python skills, knowledge of NumPy, Pandas and Scikit-learn, and familiarity with TensorFlow or PyTorch. Understanding of NLP and Generative AI is a plus.

Qualifications

• Proficiency in Python for ML tasks.
• Working knowledge of NumPy, Pandas, and Scikit-learn.
• Hands-on experience building and evaluating machine learning models.
• Understanding of core ML algorithms and concepts.
• Strong analytical thinking and ability to break down complex problems.
• Problem-solving mindset with attention to detail.
• Freshers encouraged to apply if you have solid ML fundamentals and portfolio projects.

Responsibilities

• End-to-end machine learning projects from data cleaning through deployment.
• Feature engineering and data transformation pipelines.
• Model selection and hyperparameter tuning.
• Testing and validating models against performance benchmarks.

Skills

Python for ML tasks

NumPy

Pandas

Scikit-learn

Model training & evaluation

Problem-solving mindset

Analytical thinking

Freshers welcome

Tools

TensorFlow

PyTorch

Job description

Batch: 2023/2024/2025/2026.

About the role:

• - Build and train machine learning models that solve real-world problems
• - Preprocess datasets and prepare data for model development
• - Evaluate model performance and iterate on designs to improve accuracy
• - Implement ML algorithms and experiment with different approaches

What you'll work on:

• - End-to-end machine learning projects from data cleaning through deployment
• - Feature engineering and data transformation pipelines
• - Model selection and hyperparameter tuning
• - Testing and validating models against performance benchmarks

What we're looking for:

• - Proficiency in Python for ML tasks
• - Working knowledge of NumPy, Pandas, and Scikit-learn
• - Hands-on experience building and evaluating machine learning models
• - Understanding of core ML algorithms and concepts
• - Strong analytical thinking and ability to break down complex problems
• - Problem-solving mindset with attention to detail
• - Freshers encouraged to apply if you have solid ML fundamentals and portfolio projects

Good to have:

• - Experience with TensorFlow or PyTorch frameworks
• - Knowledge of Deep Learning and neural networks
• - Background in Natural Language Processing
• - Familiarity with Generative AI and Large Language Models
• - Experience with Retrieval-Augmented Generation techniques- Portfolio or examples of AI-powered applications you've built