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Weekday AI (YC W21)

Machine Learning Engineer

Weekday AI (YC W21)
India · Full-time · Entry
This role is for one of Weekday's clients

Min Experience: 0 years

Location: Bengaluru

JobType: full-time

Requirements

About the Role:

We are seeking a motivated and passionate Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for recent graduates or early-career professionals to work on real-world applications of Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Processing (NLP) technologies. You'll be part of a team that builds intelligent systems to solve complex problems and deliver value to our customers across domains.

If you're a self-starter who's eager to apply theoretical knowledge into practice, experiment with state-of-the-art tools like TensorFlow, and work collaboratively on challenging problems in NLP and AI, this role is for you.

Key Responsibilities:

  • Assist in the development, training, and evaluation of machine learning models using Python and libraries such as TensorFlow and Scikit-learn.
  • Support data collection, preprocessing, and transformation tasks to build robust ML pipelines.
  • Collaborate with data scientists, software engineers, and product teams to understand problem requirements and deliver ML-based solutions.
  • Work on natural language processing tasks such as text classification, sentiment analysis, named entity recognition, and language modeling.
  • Implement ML models into production environments and monitor model performance.
  • Conduct research and stay updated with the latest developments in AI/ML and NLP.
  • Optimize and tune models for accuracy, speed, and scalability.
  • Prepare documentation, reports, and presentations to communicate results and findings to stakeholders.

Required Skills:

  • Basic understanding of machine learning concepts such as supervised/unsupervised learning, classification, regression, and clustering.
  • Familiarity with Python programming and common ML libraries like TensorFlow, Keras, Scikit-learn, and Pandas.
  • Exposure to natural language processing (NLP) tasks and basic algorithms.
  • Understanding of data preprocessing, feature engineering, and model evaluation techniques.
  • Enthusiasm to learn and work with deep learning models and frameworks.
  • Strong analytical thinking and problem-solving skills.
  • Good communication skills and the ability to work in a collaborative environment.

Nice to Have:

  • Internship or project experience in ML, AI, or NLP.
  • Knowledge of neural networks, RNNs, CNNs, or transformer models like BERT or GPT.
  • Experience working with large datasets or on cloud platforms such as AWS, GCP, or Azure.
  • Understanding of version control (Git) and deployment tools (Docker, MLflow, etc.).
  • Participation in ML competitions (e.g., Kaggle) or open-source contributions.

Educational Qualification:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.

Key Skills

Ranked by relevance

natural language processing machine learning tensorflow python ai artificial intelligence neural networks deep learning docker pandas mlflow cloud keras git aws gcp
Login to Apply
Posted
Jun 30, 2025
Type
Full-time
Level
Entry
Location
Bengaluru
Company
Weekday AI (YC W21)

Industries

IT Services IT Consulting

Categories

Other

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