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Software Engineer Machine Learning Java

Tror AI for everyone
Sunnyvale, CA Full Time
POSTED ON 3/10/2025
AVAILABLE BEFORE 6/9/2025

Job Title : Software Engineer Machine Learning & Java

Location : Sunnyvale CA

Employment Type : C2C / W2

Job Summary :

We are seeking a highly skilled Software Engineer with expertise in Machine Learning (ML) Natural Language Processing (NLP) Java Spark SQL and Python . The ideal candidate will design develop and deploy scalable ML models working with large datasets and realtime processing frameworks to build intelligent applications.

Key Responsibilities :

  • Develop optimize and deploy Machine Learning models for realworld applications.
  • Design and implement data pipelines using Spark and other big data technologies.
  • Work with NLP techniques for text processing sentiment analysis and chatbot development.
  • Implement Javabased backend solutions to integrate ML models into production systems.
  • Write and optimize SQL queries for data extraction transformation and analysis.
  • Use Python for ML model development data preprocessing and automation.
  • Collaborate with data scientists engineers and product teams to deliver scalable AIdriven solutions.
  • Optimize model performance and ensure efficient deployment in cloud or onpremise environments.
  • Research and implement the latest advancements in ML and AI.

Required Skills & Qualifications :

  • 8 years of experience in software development with a focus on Machine Learning & Java .
  • Handson experience with NLP deep learning frameworks (TensorFlow / PyTorch) and Spark .
  • Strong knowledge of SQL database management and distributed computing .
  • Proficiency in Python and Java for building and deploying ML models.
  • Experience in designing scalable data processing systems .
  • Familiarity with cloud platforms (AWS GCP or Azure) is a plus.
  • Strong problemsolving and analytical skills.
  • Excellent communication and teamwork abilities.
  • Preferred Qualifications :

  • Experience in realtime ML model deployment.
  • Knowledge of Kubernetes Docker or other containerization tools.
  • Understanding of MLOps best practices for continuous deployment of ML models.
  • Key Skills

    Access Control System,Engineering,Bar Management,Jpa,Law,Jdbc

    Experience : years

    Vacancy : 1

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