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Data Scientist - Agentic AI

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Part-time or Full-time
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Last Date Of Application:
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FULL JOB DESCRIPTION
Orcawise is looking for an innovative Data Scientist to join our team and specialize in Custom LLMs and Agentic AI Development. In this role, you will be at the forefront of building advanced, domain-specific language models and autonomous AI agents that drive ethical, scalable solutions for businesses.

You will collaborate with engineers, researchers, and industry experts to design, train, and fine-tune custom LLMs while integrating them with agentic AI frameworks. Your work will directly contribute to Orcawise’s mission of delivering Responsible AI solutions that empower leaders and organizations worldwide.

RESPONSIBILITIES

  • Design, develop, and fine-tune custom large language models (LLMs) for domain-specific applications.
  • Build and optimize autonomous AI agents capable of task execution, decision-making, and natural language interactions.
  • Implement Retrieval-Augmented Generation (RAG) pipelines to integrate LLMs with external knowledge bases.
  • Analyze large datasets to identify trends, patterns, and opportunities for LLM improvement.
  • Develop robust evaluation metrics to ensure model performance, alignment, and ethical standards.
  • Collaborate with the engineering team to deploy models on scalable platforms (e.g., Hugging Face, Docker).
  • Monitor and improve model performance through feedback loops, error analysis, and retraining strategies.
  • Stay up-to-date with advancements in AI, including emerging LLM architectures and agentic AI technologies.

KNOWLEDGE, SKILLS, AND EXPERIENCE

  • Proven Experience: 3+ years as a Data Scientist or ML Engineer with hands-on experience in NLP and LLMs.
  • Technical Expertise:
    • Proficiency in Python and frameworks like PyTorch, TensorFlow, and Transformers (Hugging Face).
    • Experience with fine-tuning and training LLMs (e.g., GPT, BERT, Mistral, or Claude).
    • Familiarity with agentic AI tools like LangChain or Auto-GPT.
  • Data Skills: Strong expertise in handling large datasets, feature engineering, and data preprocessing.
  • Evaluation: Knowledge of evaluation metrics for LLMs (e.g., perplexity, BLEU, ROUGE) and best practices for ethical alignment.
  • Problem-Solving: Ability to design AI solutions tailored to real-world business challenges.
  • Collaboration: Excellent communication skills for working in cross-functional teams and presenting technical concepts to non-technical stakeholders.

PREFERRED

  • Knowledge of Responsible AI principles and experience applying ethical considerations in AI model development.
  • Experience deploying models in production environments using Docker or cloud platforms.
  • Familiarity with RAG pipelines and external API integration.

WHY JOIN ORCAWISE?

  • Be a pioneer in developing Responsible AI and Custom LLMs that shape industries.
  • Collaborate with a passionate team on cutting-edge AI projects with real-world impact.
  • Opportunities for continuous learning and professional growth in AI and advanced machine learning.
  • Flexible working environment, with options for remote or hybrid setups.

LOCATION: Remote or Hybrid (based on your preference and location)
EMPLOYMENT TYPE: Volunteer

Join Orcawise to create the next generation of AI solutions and transform how businesses harness Agentic AI!

Job details

Experience :
3 years
No Of Vacancies :
20 spots available
Working Hours :
4-hours per day
Salary :
Volunteer work experience
Working Days :
Monday - Friday
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Work in a live production environment under the guidance and direction of top mentors. Graduate with a Certificate of Completion and employer reference after you successfully complete 100-days work experience.

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