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AI and ML Intern

Job Title: AI and ML Intern

Location: Remote
Type: Internship
Duration: 6 months

Job Description:

As an AI and ML Intern, you will work on exciting projects focused on developing and deploying machine learning models and AI-based solutions. You will collaborate with data scientists, engineers, and product teams to implement algorithms, work on large language models (LLMs), and utilize AI tools to deliver innovative applications. This internship is an excellent opportunity to gain hands-on experience in the field of artificial intelligence and machine learning while working in a dynamic, fast-paced environment.

Responsibilities:

  • Assist in designing, developing, and deploying machine learning models and AI algorithms.
  • Work with large language models (LLMs) and integrate them into real-world applications.
  • Collaborate with cross-functional teams to identify use cases and implement AI-driven solutions.
  • Research, prototype, and fine-tune machine learning algorithms for various tasks such as natural language processing (NLP), computer vision, and predictive analytics.
  • Use AI tools and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) to develop models and systems.
  • Analyze large datasets, preprocess data, and build scalable pipelines for machine learning projects.
  • Continuously evaluate and improve AI models for accuracy, performance, and scalability.
  • Stay updated with the latest developments in AI, ML, and related tools.

Qualifications:

  • Pursuing or completed a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Knowledge of machine learning algorithms and AI techniques (supervised learning, unsupervised learning, reinforcement learning).
  • Experience working with large language models (LLMs) and AI tools (e.g., TensorFlow, PyTorch, Hugging Face).
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Proficiency in programming languages such as Python, and experience with libraries like NumPy, pandas, and scikit-learn.
  • Strong analytical and problem-solving skills.
  • Good communication skills and ability to work collaboratively with cross-functional teams.

Skill Sets:

  • Machine learning frameworks (TensorFlow, PyTorch).
  • Large language models (LLMs) and natural language processing (NLP).
  • Data analysis and preprocessing (NumPy, pandas).
  • AI toolkits and platforms (Hugging Face, OpenAI).
  • Model evaluation, tuning, and deployment.
  • Version control (Git).
  • Familiarity with Agile methodologies is a plus.

What We Offer:

  • Certificate.
  • Flexible work hours and remote work options.
  • Opportunities for professional growth and development.
  • A supportive and inclusive work environment.
  • The chance to work on innovative AI and ML projects that make a real impact.
  • Unpaid Internship.

Smart Rewards Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.