Data Scientist
Location : Chennai / Bangalore, India
Experience : 3-10 Years
Notice Period : Immediate to 30 Days
Job Type : Full-time
Job Overview :
We are seeking a highly skilled and passionate Data Scientist with 3-10 years of experience to join our team. The ideal candidate will possess a strong foundation in AI / ML, practical expertise in frameworks like TensorFlow and PyTorch, and hands-on experience with NLP, Image Processing, Generative AI, and Large Language Models (LLMs). You will be responsible for translating complex business problems into data-driven solutions, from designing and deploying AI / ML models to optimizing data retrieval and visualization.
Responsibilities :
- Model Design & Development : Design and implement cutting-edge AI / profound learning models and advanced statistical / ML / DL models to effectively address complex business issues.
- Framework Proficiency : Apply practical knowledge and working experience with key tools and frameworks such as Flask, PySpark, PyTorch, TensorFlow, Keras, Databricks, OpenCV, Pillow / PIL, Streamlit, d3.js, Dash Plotly, and Neo4j for various data science tasks.
- Predictive & Machine Learning : Demonstrate a good understanding and ability to apply a wide range of predictive and machine learning techniques, including regression models, XGBoost, random forest, GBM, Neural Nets, and SVM.
- Natural Language Processing (NLP) : Possess proficiency with NLP techniques like RNN, LSTM, and Attention-based models, and effectively handle readily available models from platforms such as Stanford, IBM, Azure, and OpenAI.
- Image Processing : Apply expertise in Image Processing techniques, leveraging tools like OpenCV for practical applications.
- Generative AI & LLMs : Work with Generative AI techniques and Large Language Models (LLMs) to create innovative solutions.
- Data Retrieval & Optimization : Possess a strong understanding of SQL from the perspective of writing efficient queries for pulling data from various databases.
- MLOps & Deployment : Gain hands-on experience with version control tools (e.g., GitHub, Bitbucket) and successfully deploy ML models into production environments (MLOps) on cloud platforms like Azure or AWS.
- Business Acumen : Comprehend diverse business issues thoroughly and propose valuable, data-backed business solutions.
- Data Sourcing & Augmentation : Formulate strategies for identifying what information is accessible from where and how to effectively augment it to enrich datasets.
- Data Visualization : Develop innovative graphs and interactive dashboards for enhanced data comprehension using tools like d3.js, Dash Plotly, and Neo4j.
Required Skills :
AI / ML : Strong practical knowledge and working experience in AI / ML concepts and applications.Deep Learning Frameworks : Hands-on expertise with TensorFlow and PyTorch.Web Frameworks : Experience with Django (primary) and Flask.Natural Language Processing (NLP) : Proficiency in NLP techniques (RNN, LSTM, Attention models) and experience utilizing pre-trained NLP models.Image Processing : Practical experience in Image Processing with tools like OpenCV.Generative AI & LLMs : Working knowledge and experience with Generative AI techniques and Large Language Models (LLMs).Machine Learning Algorithms : Good understanding and application of regression models, XGBoost, random forest, GBM, Neural Nets, SVM.Statistics & Operations Research : Practical knowledge and working experience on Statistics and Operation Research methods.Database & Querying : Proficient in SQL for writing efficient data retrieval queries.MLOps & Cloud Platforms : Hands-on experience with deploying ML models into production environments (MLOps) on Azure or AWS.Version Control : Hands-on experience with GitHub or Bitbucket.Data Visualization Tools : Experience with d3.js, Dash Plotly, and Neo4j.ref : hirist.tech)