Jr. AI/ML Developer

Job highlights

• Preferred Qualifications: - Internship experience in AI,machine learning,NLP,or computer vision. - Hands-on experience with AI projects (personal or academic),especially thoseinvolving LLMs,VLMs,or transformers. - Contribution to open-source AI projects or participation in AI competitionsis a plus

• Assist in the design, development, and deployment of AI solutionsutilizing machine learning, natural language processing (NLP), and computervision techniques.

  • Collaborate with cross-functional teams, including data scientists andsoftware engineers, to seamlessly integrate AI solutions into existing productsand services.
  • Support data collection, processing, and automation tasks to enhance andrefine AI models.
  • Contribute to the testing, debugging, and optimization of AI solutions toensure high-quality, reliable outcomes.
  • Stay abreast of the latest trends in AI and machine learning, continuouslyintegrating new advancements to improve solutions.

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  Requirements

  What Does It Take? (SkillsRequired):

  • Educational Background: A degree in Computer Science, AI, Machine Learning,or a related technical field. Fresh graduates are encouraged to apply.
  • Programming Knowledge: Basic proficiency in Python, with familiarity in AI/MLframeworks.
  • API Integration Skills: Knowledge of Fast API and an understanding of how tointegrate APIs with other platforms (or a willingness to learn).
  • API & Automation: Familiarity with Fast API architecture, databasemanagement (MySQL, Chrome DB/Pinecone), and automation tools.
  • Machine Learning Proficiency: Experience with data preprocessing, featureengineering, and model evaluation techniques essential for AI/ML projects.
  • Problem-Solving: A creative mindset focused on solving technical challenges.
  • Team Player: Strong communication skills with the ability to collaborateeffectively within a team.
  • AI & NLP Familiarity: Exposure to working with LLMs, VLMs, or relatedtechniques (such as transformers and deep learning models).
  • Transformers Knowledge: Basic understanding of transformer models and howthey are applied in LLMs and VLMs (e.g., BERT, GPT, CLIP).

  Preferred Qualifications:

  • Internship experience in AI, machine learning, NLP, or computer vision.
  • Hands-on experience with AI projects (personal or academic), especially thoseinvolving LLMs, VLMs, or transformers.
  • Contribution to open-source AI projects or participation in AI competitionsis a plus