Navisoft

Interns for AI/ML development

Remote, US$50,000-$60,000Posted 2 days ago

Job Description

Job Summary We are seeking motivated and innovative interns to join our AI/ML development team, where you will contribute to cutting-edge projects in artificial intelligence and machine learning. This paid internship offers a dynamic environment to gain hands-on experience in developing, training, evaluating, and deploying AI models across diverse applications. You will collaborate with experienced data scientists and engineers to solve complex problems using advanced data analysis, statistical modeling, and scalable cloud-based solutions. This role is perfect for individuals passionate about leveraging big data, natural language processing, generative AI, and machine learning frameworks to drive impactful insights and innovations.

Responsibilities

  • Assist in designing and implementing machine learning models utilizing frameworks such as TensorFlow, Spark MLlib, and other AI tools.
  • Support model training, evaluation, and deployment processes on cloud platforms like AWS and machine learning cloud services.
  • Conduct statistical analysis for research purposes using R, SAS, or Python to derive actionable insights from large datasets.
  • Develop ETL pipelines for data ingestion, transformation, and loading into SQL databases or Hadoop ecosystems.
  • Collaborate on database design and management to ensure efficient data storage and retrieval for analytics projects.
  • Contribute to natural language processing (NLP) initiatives by building models for text analysis and language understanding.
  • Participate in data mining activities using big data tools such as Hadoop, Talend, and Spark implementation to uncover hidden patterns.
  • Support scalability efforts for AI models through model evaluation, deployment strategies, and optimization techniques.
  • Engage in research on quantum engineering applications related to AI/ML advancements when applicable.

Qualifications

* Currently pursuing a degree in Computer Science, Data Science, Electrical Engineering, or a related...

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