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Weekday AI (YC W21) logo

AI/ML Engineer

2 years

10 - 30 Lacs

india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

ai ml learning engineering data design drive preprocessing model deployment coding development cutting regression clustering vision tensorflow pytorch keras scalability research algorithms collaboration integration training inference software testing monitoring drift effectiveness compliance governance security python processing numpy spark aws gcp azure containerization docker kubernetes rest git

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of Weekday's clientsSalary range: Rs 1000000 - Rs 3000000 (ie INR 10-30 LPA)Min Experience: 2 yearsJobType: full-time

Requirements

We are looking for a passionate and skilled

AI/ML Engineer

with at least

2+ years of professional experience

in developing and deploying machine learning models. In this role, you will work closely with our product, engineering, and data science teams to design, implement, and optimize AI/ML solutions that drive real-world business impact. The ideal candidate has hands-on experience with machine learning frameworks, data preprocessing, and model deployment, combined with strong problem-solving and coding skills.This is an exciting opportunity for a professional who is eager to leverage

AI, deep learning, and data-driven insights

to solve complex challenges and contribute to the development of cutting-edge products and platforms.

Key Responsibilities

Model Development & Deployment

  • Design, build, and deploy machine learning models for classification, regression, clustering, recommendation, NLP, and computer vision tasks.
  • Perform data preprocessing, feature engineering, and data cleaning to ensure high-quality datasets.
  • Implement deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
  • Optimize models for accuracy, performance, and scalability in production environments.

Research & Innovation

  • Stay updated with the latest trends in AI/ML, deep learning, and data science.
  • Experiment with new algorithms, architectures, and techniques to improve existing solutions.
  • Conduct proof of concepts (POCs) for emerging AI use cases relevant to business needs.

Collaboration & Integration

  • Work closely with data engineers to design scalable data pipelines for training and inference.
  • Collaborate with software engineers to integrate ML models into production systems and applications.
  • Partner with product teams to understand business requirements and translate them into AI/ML solutions.

Testing & Monitoring

  • Conduct A/B testing and validation to evaluate model performance.
  • Implement model monitoring systems to track accuracy, drift, and overall effectiveness post-deployment.
  • Ensure compliance with data governance, security, and ethical AI standards.

Required Skills & Qualifications

  • Experience: Minimum 2+ years in AI/ML engineering or applied machine learning roles.
  • Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, Keras).
  • Experience with data processing tools (Pandas, NumPy, Spark).
  • Good understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.
  • Experience in NLP or Computer Vision projects is a strong plus.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and ML services.
  • Knowledge of containerization (Docker, Kubernetes) and deployment practices.
  • Experience with REST APIs for model serving and integration.
  • Familiarity with version control systems (Git) and CI/CD pipelines.
  • Strong analytical thinking, problem-solving skills, and ability to work in fast-paced environments.

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