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Java Developer with Machine Learning & NLP Expertise at Remote, Remote, USA
Email: [email protected]
From:

DEBASISH PATTNAIK,

MRTECHNOSOFT

[email protected]

Reply to:   [email protected]

Job Title: Java Developer with Machine Learning & NLP ExpertiseLocation: San Francisco Bay Area (Onsite/Hybrid)Job Type: ContractJob Description:
We are seeking a Java Developer with expertise in Machine Learning (ML), Natural Language Processing (NLP), Python, and SQL for a role in the San Francisco Bay Area. The ideal candidate will work on developing scalable ML-driven applications, implementing NLP models, and optimizing data processing pipelines.Key Responsibilities:
Design, develop, and maintain high-performance Java applications with ML and NLP capabilities.
Implement Natural Language Processing (NLP) models for text processing, sentiment analysis, and entity recognition.
Develop and deploy Machine Learning models using Python, TensorFlow, PyTorch, or Scikit-Learn.
Work with large datasets and optimize SQL queries for efficient data retrieval.
Build and integrate RESTful APIs for ML-driven applications.
Utilize big data frameworks such as Spark for distributed computing.
Optimize application performance, scalability, and security.
Collaborate with data scientists and ML engineers to integrate models into production.
Implement CI/CD pipelines for seamless deployment of ML models and applications.Required Skills & Experience:
8+ years of experience in Java development with a strong understanding of backend services.
Machine Learning expertise, including model training, evaluation, and deployment.
Hands-on experience with NLP libraries (NLTK, SpaCy, Hugging Face, or Stanford NLP).
Strong experience in Python for ML model development.
Proficiency in SQL for querying and managing relational databases.
Experience with big data frameworks like Apache Spark.
Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS, GCP, or Azure).
Experience with Docker, Kubernetes, and CI/CD pipelines.Nice to Have:
Experience with Deep Learning frameworks (TensorFlow, PyTorch).
Knowledge of vector databases and embeddings for advanced NLP solutions.
Understanding of Reinforcement Learning and Generative AI.
Experience in time-series forecasting and recommendation systems.
Familiarity with Apache Kafka or RabbitMQ for real-time data streaming.

Thanks
Debasish Pattnaik
[email protected]
www.mrtechnosoft.com

Keywords: continuous integration continuous deployment artificial intelligence machine learning
Java Developer with Machine Learning & NLP Expertise
[email protected]
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02:12 AM 11-Feb-25


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