Job Summary :
We are seeking a highly skilled and experienced Data Scientist with a minimum of 4 years of experience to join our team. The ideal candidate will have a strong background in AI / ML, with hands-on expertise in building and deploying predictive models in a production environment. This role requires a blend of technical proficiency in frameworks like TensorFlow and PyTorch and a solid understanding of statistical and machine learning techniques. You will be responsible for designing and deploying innovative models, providing valuable business solutions, and working with cutting-edge technologies like Generative AI and LLMs.
Key Responsibilities Design and Deployment :
- Design and deploy statistical, Machine Learning (ML), and Deep Learning (DL) models to address complex business issues.
- Gain practical experience working with tools and frameworks like Flask, PySpark, PyTorch, TensorFlow, Keras, and Databricks.
- Formulate strategies for data accessibility and augmentation.
- Deploy ML models into production environments (MLOps) on cloud platforms like Azure or AWS.
Data Analysis and Insights :
Apply predictive and ML techniques such as regression models, XGBoost, random forest, and neuralnetworks.
Utilize NLP techniques like RNN, LSTM, and Attention-based models, and work with pre-trained models from platforms like Azure and OpenAI.Proficiently write efficient SQL queries to pull and manipulate data from databases.Develop innovative data visualizations using tools like d3js, dash-plotly, and neo4j to enhance data and Business Collaboration :Comprehend business issues and propose valuable, data-driven solutions.Collaborate with cross-functional teams to integrate AI / ML models into existing systems.Use version control tools (GitHub, Bitbucket) for code management and Skills Experience :4+ years of experience as a Data Scientist.Practical knowledge of statistics and operations research Proficiency :Strong hands-on experience in AI / ML, NLP, Deep Learning, and Generative AI / LLMs.Expertise in frameworks such as TensorFlow and PyTorch.Experience with Image Processing using libraries like OpenCV and Pillow.Proficiency in deploying ML models into a production environment & Platforms :Primary : AI / ML, TensorFlow, PyTorch, NLP, Image Processing, Gen AI, LLM.Secondary : Keras, OpenCV, Azure or AWS.Experience with various tools like Flask, PySpark, Databricks, and Streamlit.(ref : hirist.tech)