Develop predictive models and machine learning solutions using Python and data science techniques. Analyze terabyte-scale datasets, identify patterns, clean and visualize data, write SQL, and use GPUs for model development. Apply NLP, computer vision, deep learning, statistical learning, and graph-based methods. Build interpretable results in collaboration with domain experts, leaders, and engineers, and develop AI chatbots using Amazon Lex and cloud platforms.
This is a remote position.
Exp- 4-6 Years
Budget- 23 LPA
Its remote working
Key skill- Python +data science+algorithm+data analyst
Required Skills and Technical Experience:
- 5+ years of industry experience in predictive modeling, data science, and analysis
- Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory
- Excellent pattern recognition and predictive modeling skills
- Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j
- Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory
- Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models
- Work with NoSQL databases such as MongoDB, Couch DB, Redis, Cassandra
- Experience with data mining and data cleaning
- Experience with data visualization and reporting techniques
- Leverage cutting edge big data technologies on AWS, Google Cloud and Microsoft Azure
- Engage with domain experts as well as senior leaders and engineers to effectively deliver interpretable results
- Leverage Amazon LEX Services to develop AI chatbots
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