Arivonix - Data Scientist - Generative AI

Location : Bangalore

Experience : 5-9 years

Title : Data Scientist

We are seeking a Data Scientist / Generative AI Developer with a strong foundation in mathematics and advanced data science methodologies, coupled with expertise in Large Language Models (LLMs), Generative AI, and orchestration frameworks like LangChain or CrewAI. This is a key role in shaping cutting-edge machine learning solutions and integrating state-of-the-art AI capabilities, while collaborating across diverse teams.

Key Responsibilities

• Design, develop, and implement machine learning algorithms and models, including creating specifications, design documents, and prototypes.
• Build, fine-tune, and deploy solutions leveraging Large Language Models (LLMs) for various use cases.
• Develop workflows and applications using LangChain, CrewAI, or similar GenAI orchestration frameworks to enable seamless AI integrations.
• Optimize model performance with advanced tuning techniques, feature engineering, and experimentation with LLMs.
• Lead brainstorming sessions for system architecture and feature design to ensure scalability
  
  

and efficiency.

• Integrate and manage Vector Databases (VectorDBs) such as Pinecone, Weaviate, or similar, to handle embedding-based search and retrieval tasks.
• Gather and document design requirements by interfacing with key stakeholders and external customers.
• Collaborate with Engineering, Data Science, Product, UX, Business Development, and Infrastructure teams.
• Uphold and promote best coding practices, including thorough documentation and peer reviews.
  
  

Required Qualifications

• Masters degree in Data Science, Mathematics, or a related field.
• 5+ years of experience in Data Science, Machine Learning, or a similar domain.
• Expertise in linear algebra, statistics, and probability, with hands-on experience in statistical
  
  

testing, regression, and deep learning techniques.

• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or MxNet.
• Experience with Large Language Models (LLMs) such as GPT-4, BERT, or T5.
• Proven experience with orchestration frameworks like LangChain, CrewAI, or similar.
• Strong understanding of Vector Databases (VectorDBs) and embedding-based search.
• Advanced development experience in Python and libraries like NumPy, Sci-Kit Learn, and
  
  

Matplotlib.

• Proven track record of model performance tuning and deploying optimized machine learning models.
  
  

Preferred Skills

• Proficiency in creating scalable machine learning pipelines.
• Familiarity with industry standards for code optimization and debugging.
  
  

Education Requirements

Masters Degree in :

• Data Science
• Computer Science
• Artificial Intelligence
• Mathematics
• Machine Learning
• Statistics
• Related fields
  
  

Special Considerations

Certifications or postgraduate diplomas in AI/ML (e.g., from institutions like IIIT-Hyderabad, ISB, or online platforms like Stanford AI, Coursera, edX) could also supplement academic credentials if accompanied by relevant experience.

Key Skills

• Experience with LLMs, LangChain/CrewAI, Vector Databases (e.g., Pinecone, Weaviate).
• Data Science, Machine Learning, TensorFlow, PyTorch, Deep Learning
• Expertise in Python
  
  

(ref:hirist.tech)