About the Role:
Data Scientist / Generative AI Developer
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:
Master’s 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:
Master’s Degree
- 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:
LLMs, LangChain/CrewAI, Vector Databases (e.g., Pinecone, Weaviate)
-Data Science, Machine Learning, TensorFlow, PyTorch, Deep Learning
-Expertise in Python
If you are a highly motivated professional with expertise in data science, a passion for mathematical problem-solving, and a drive to create impactful solutions, we’d love to have you on our team!
