Spydra - Data Scientist - Machine Learning

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 month ago
0-1 years
Bengaluru / Bangalore, Karnataka
work from office

Posted: 1 month ago
|
Applicants: 150+
Job Description
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Job Description

Description
Key Responsibilities :
  • Develop and implement machine learning algorithms and models.
  • Design and conduct experiments to evaluate the performance of machine learning models.
  • Collaborate with cross-functional teams to integrate machine learning solutions into products.
  • Analyze large datasets to extract meaningful insights and patterns.
  • Optimize and tune machine learning models for performance and scalability.
  • Monitor and maintain deployed models, ensuring their performance in a production environment.
  • Stay up-to-date with the latest trends and advancements in machine learning and artificial intelligence.
  • Write clean, maintainable, and efficient code.
  • Document processes, experiments, and results :
  • Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Proven experience as a Machine Learning Engineer or similar role.
  • Strong understanding of machine learning algorithms and techniques (e.g., supervised and unsupervised learning, reinforcement learning, deep learning).
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with data preprocessing and feature engineering techniques.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
  • Strong problem-solving skills and the ability to work independently and as part of a team.

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  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with natural language processing (NLP) and computer vision.
  • Knowledge of big data technologies (e.g., Hadoop, Spark).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience with version control systems (e.g., Git).
  • Understanding of DevOps practices and CI/CD pipelines.
(ref:hirist.tech)

Skills

Artificial IntelligenceBig DataPythonData ScienceDeep LearningMachine LearningGoogle CloudData Scientist

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Important dates & deadlines?

Application Deadline

19 Jul 26, 01:30 PM IST

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Spydra - Data Scientist - Machine Learning

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