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Shadowfax Technologies

2 months ago

Bengaluru, India Shadowfax Technologies Pvt Ltd Full time

ROLE : Senior Data Scientist/Data Scientist-II

WHAT YOU WILL DO :

- Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions.

- Write high-quality production code as you build and maintain robust, scalable machine learning systems.

- Develop, validate and deploy ML models, optimization solutions, inference techniques to solve complex problems and communicate ideas to stakeholders.

- Clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums.

- You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modelling, machine learning, or data mining techniques.

- Design and implement infrastructure for orchestrating end-to-end machine learning lifecycles

- Explore and evaluate novel algorithms for assessment and forecasting signals.

- Continuously improving and refining models and algorithms to ensure their relevance and accuracy in changing market conditions.

- Collaborate with cross-functional teams to integrate AI model improvements based on insights from production data.

WHAT YOU WILL NEED :

- 2+ years of professional experience as a Data Scientist.

- Strong Python coding skills including using ML frameworks like TensorFlow & Pytorch and strong working knowledge of MySQL.

- Experience working in cloud technologies GCP, GCS, Big Querry, Vertex AI Workbench and Pipelines and Vector Search.

- Experience working in large scale text data for semantic similarity and various NLP-based solutions is highly appreciated

- Experience in using Github/Bitbucket for code version controls and collaboration

- Should have worked on AI-based projects end-to-end.

- Worked on creating Model end to end pipelines [processing - training - benchmarking - deployment]

- Should have worked on unstructured data algorithms like clustering, dimensionality reduction etc.

- Good hold of fundamentals in Deep Learning and Machine Learning.

- Excellent problem-solving and analytical skills.

- Excellent communication abilities to work with stakeholders and researchers successfully.

GOOD TO HAVE :

- Model GPU training and GPU optimisations through Tensor-rt, onxx etc.

- Workflow orchestration/Experiment tracking platforms like Prefect,MLlflow, kubeflow pipelines etc.

- Computer Vision algorithms like object detection, Image Classification, Image segmentation etc.

- LLM is good to have.

- Knowledge of Docker files is good to have

(ref:hirist.tech)