AI/ML Engineer

2 - 4 years

2 - 5 Lacs

gurgaon

Posted:6 days 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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