Data Scientist
1 month ago
We are seeking a highly skilled Data Scientist to join our team at People Tech Group Inc. As a key member of our data science team, you will be responsible for developing and implementing analytical models, performing deep analyses, and deriving actionable insights from complex data sets.
Key Responsibilities:
- Design, build, and deploy machine learning and deep learning models to address business challenges.
- Apply advanced NLP techniques using libraries such as SpaCy, NLTK, and Transformers for tasks like text classification, sentiment analysis, and named entity recognition.
- Implement computer vision solutions to analyze and interpret visual data.
- Create visualizations and dashboards to effectively communicate insights using tools like Matplotlib, Seaborn, or similar.
- Develop and manage MLOps pipelines for model deployment and monitoring using AWS, Docker, and FastAPI.
- Work on generative AI models and retrieval-augmented generation (RAG) techniques, leveraging frameworks such as LangChain and Hugging Face.
- Utilize vector databases and multi-vector methods to enhance retrieval and similarity tasks.
- Incorporate knowledge graphs and advanced RAG strategies for improved data retrieval and information extraction.
- Collaborate with product managers, engineers, and other stakeholders to convert business requirements into technical solutions.
Requirements:
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 3-6 years of professional experience in data science or a similar role.
- Proficiency in Python and SQL.
- Solid experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with NLP techniques and tools (e.g., SpaCy, NLTK).
- Hands-on experience in data visualization and interpretation.
- Basic understanding of MLOps practices and tools (e.g., AWS, Docker).
- Familiarity with generative AI models and RAG techniques.
- Knowledge of vector databases and multi-vector approaches.
- Ability to work effectively in a collaborative team environment.
Interested candidates can share their resume at kratika.rojade@peopletech.com
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