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Overview

As a Junior Machine Learning Engineer, you will be responsible for developing, optimizing, and deploying machine learning models for real-world applications. You will work closely with data scientists and software engineers to enhance AI-driven solutions, analyze data, and contribute to the continuous improvement of ML models. This role is ideal for candidates with at least one year of experience in AI/ML, looking to advance their expertise in the field.

Responsibilities

  • Design, develop, and optimize machine learning models for various business applications.
  • Collect, clean, and preprocess data for model training and evaluation.
  • Fine-tune and optimize ML algorithms for better performance and efficiency.
  • Implement and monitor deployed models to ensure continuous improvements.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into production environments.
  • Develop automated pipelines for data preprocessing, model training, and evaluation.
  • Stay up to date with the latest advancements in AI/ML technologies and frameworks.
  • Document research, experiments, and model performance for knowledge sharing.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 1+ years of hands-on experience in machine learning model development and deployment.
  • Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience in data preprocessing, feature engineering, and handling large datasets.
  • Understanding of deep learning architectures, including CNNs, RNNs, and Transformers.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment and scalability.
  • Experience with databases (SQL, NoSQL) and data storage solutions.
  • Proficiency in version control systems such as Git.
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Ability to work independently and in a collaborative team environment.

Skills

  • Strong programming skills in Python with expertise in ML frameworks.
  • Experience with supervised and unsupervised learning techniques.
  • Knowledge of neural networks and deep learning architectures.
  • Familiarity with NLP and computer vision applications.
  • Experience in model evaluation using metrics like precision, recall, and F1-score.
  • Proficiency in handling real-world datasets and feature engineering.
  • Experience with containerization tools like Docker is a plus.
  • Good understanding of MLOps concepts and automated ML pipelines.
  • Strong communication and documentation skills for sharing research and results.
Experience
Fresher / Experienced
Work Level
Junior
Employment Type
Full Time
Industry
Software
Company size
50-100
Founded in
1985
Phone
+91-8073077560
Email
info@whiteandbox.com
Location
Hybrid/HSR Layout/ JP Nagar, Bengaluru

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