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AI/ML Engineer

AI/ML Engineer

Digitup

2 - 4 years

2 - 5 Lacs

gurgaon

Posted:7 hours ago| Platform: GlassDoor logo

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Skills Required

ai ml learning data preprocessing model training optimization design algorithms engineering analysis development python numpy tensorflow pytorch vision analytics software aws gcp azure communication collaborative

Work Mode

On-site

Job Type

Part Time

Job Description

Job Information

Department Name

AI/ML

Work Experience

2–4 years

Date Opened

9/23/2025

Location

Gurugram

Job Type

Junior

About Job

We are looking for an enthusiastic AI/ML Engineer with 2–4 years of hands-on experience in developing and deploying machine learning models. The candidate should be able to work on data preprocessing, model building, training, and performance optimization, while collaborating with cross-functional teams to deliver business-driven AI solutions.

Responsibilities:

Design, develop, and deploy machine learning models and algorithms to solve real-world business problems.
Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
Work with supervised, unsupervised, and deep learning techniques.
Optimize model performance and scalability.
Collaborate with data engineers, product managers, and other stakeholders to integrate ML solutions into applications.
Stay updated with emerging AI/ML tools, frameworks, and best practices.

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
2–4 years of proven experience in AI/ML model development and deployment.
Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras.
Experience with NLP, computer vision, or predictive analytics will be a plus.
Understanding of data structures, algorithms, and software development practices.
Familiarity with cloud platforms (AWS, GCP, or Azure) is preferred.
Good problem-solving, analytical, and communication skills.

Perks and Benefits

Competitive salary and benefits.
Health and wellness programs.
Opportunities for continuous professional development.

Flexible work arrangements.
An innovative and collaborative work environment.

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AI/ML Engineer