Senior Data Scientist

5 days ago

ahmedabad, India HolboxAI Full time
Experience: 2 - 5 Years
Company Description
At HolboxAI, we specialize in Generative AI and Machine Learning, providing state-of-the-art solutions to businesses worldwide. Built on the expertise of our dedicated team of AI specialists and data scientists, we offer bespoke solutions that deliver unprecedented efficiency, creativity, and strategic insight. Our vision is to empower our clients to unlock the full potential of Artificial Intelligence to transform industries, no matter what the challenge. Join us on our journey to reshape the future of AI innovation.
Role Description
This is a full-time on-site role for a Senior Data Scientist located in Ahmedabad. The Data Scientist will be responsible for day-to-day tasks such as collecting and interpreting large data sets, utilizing statistical analysis tools and techniques, creating machine learning models, and visualizing data to generate actionable insights.
Qualifications
Strong background in Data Science, Data Analytics, and Data Analysis
Proficiency in Statistics and Data Visualization
Experience with programming languages such as Python, R, and SQL
Expertise in Machine Learning Algorithms and Techniques
Excellent analytical and problem-solving skills
Ability to work independently and collaboratively in groups
Bachelor's or Master's degree in Computer Science, Statistics, or related field
Familiar with PyTorch and training deep neural networks.
Experience with Natural Language Processing, Predictive Analytics, and Automated Machine Learning is a plus.
Hands-on experience with cloud platforms such as AWS.
Excellent communication and presentation skills
Excited to work on open-source code.
Example Projects
• Build an RAG pipeline on top of internal documents.
• Create a Python library on top of AWS services to enable GenAI for large enterprises.
• Open source internal tools.
• Implement networks from newly published papers.
• Work on tools that work with fine-tuned models, vector databases, embeddings etc.
• Develop more realistic simulations for training our agents.
• Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc).
• Create visualizations to help us deeply understand what our networks learn and why.
Benefits
• Work directly on creating software with human-like intelligence
• Very generous compensation
• Opportunity to be a part of a fast-growing AI startup
• Time and budget for learning and self-improvement
Application process
All submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.
We try to reply either way within a week or two at most (usually much sooner).

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