About the role
Walk in Mumbai
Date 25 July 26
Job Description
+ yrs.
Implement machine learning and deep learning models. Well versed with various ML/DL algorithms, statistical algorithms, and packages. Working knowledge of Generative AI. Nice to have manufacturing domain knowledge.
Skills:
- Experience using Python to manipulate data and draw insights from large data sets.
- Experience in various ML algorithms for regression, classification, clustering, Association, and Dimensionality Reduction.
- Experience in various DL NN architecture such as CNN, RNN, Transformers
- Well versed with frameworks such as TensorFlow, Keras, Caffe and Torch.
- Experience in building end to end data science pipeline (Experimentation, Model Training, Model Evaluation, Model Deployment, Model Monitoring)
- Experience developing ML applications on one or more of the following cloud environments – Azure, AWS, GCP
- Demonstrated ability to work in a collaborative, data-driven, start-up environment.
- Master’s/PhD in Statistics, Mathematics, Computer Science, or another quantitative field OR Equivalent Demonstrable Experience
Preferred:
- Experience using Redshift, S3, ADLS, Databricks, Jupyter, SageMaker, Azure ML etc.
- Experience with distributed data/computing tools: Spark, Map/Reduce, Hadoop, Hive etc.
- Experience in visualizing and presenting data for stakeholders using: Plotly Dash, Amazon Athena, D3.js etc.
- Experience utilizing OpenAI and other LLMs