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Mahindra Group
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Machine Learning Engineer

Machine Learning Engineer

Mahindra Group

0 years

5 - 7 Lacs

india

Posted:11 hours ago| Platform:

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Skills Required

learning design data automate ai algorithms preprocess test ml tensorflow pytorch engineering model efficiency architecture programming python java keras numpy preprocessing evaluation sql nosql aws gcp azure collaborative cutting research support

Work Mode

On-site

Job Type

Full Time

Job Description

🔹

About the Role

We are looking for a

passionate and analytical Machine Learning Engineer

to design, develop, and deploy intelligent solutions that solve real-world problems.You’ll work closely with data scientists and developers to build and optimize machine learning models, automate workflows, and contribute to scalable AI applications.🔹

Key Responsibilities

Design and implement machine learning algorithms for predictive and analytical tasks.
Collect, clean, and preprocess structured and unstructured data.
Train, test, and fine-tune ML/DL models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Work with engineering teams to integrate models into production environments.
Evaluate model performance and continuously improve accuracy and efficiency.
Document model architecture, data sources, and experimental results.
Stay updated with the latest advancements in AI and data science.

🔹 Qualifications & Skills

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
Strong programming knowledge in Python, R, or Java.
Experience with TensorFlow, PyTorch, Keras, Scikit-learn, NumPy, and Pandas.
Understanding of data preprocessing, feature engineering, and model evaluation techniques.
Familiarity with SQL / NoSQL databases and cloud services (AWS, GCP, Azure).
Good problem-solving skills and attention to detail.
Freshers with relevant project or internship experience are welcome.

🔹

What We Offer

Competitive salary and growth opportunities.
Exposure to live AI/ML projects and real-time data challenges.
Collaborative environment with mentorship from experienced data scientists.
Access to cutting-edge technologies and research tools.
Flexible work setup and continuous learning support.

Skills: machine learning,data,ml

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