Mphasis
Location
Pune | India
Job description
Job Description: Data science Analyst
Who are we looking for
Looking for individuals with 10+ years of experience implementing and managing Data science projects . Working knowledge of Machine and Deep learning based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, tensorflow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc. and have a working knowledge of SQL and no-SQL databases and microservices. Should be adapt at Python Scripting. Experience on NLP and Text Analytics is preferred
Skillsets:
. Knowledge of Natural Language Processing(NLP)techniques and frameworks like Spacy, NLTK, etc. and good knowledge of Text Analytics
. Should have strong understanding & hands on experience with machine learning frameworks like scikit-learn, tensorflow, keras and deep learning architectures like RNNs and LSTM , BERT
. Adept at Python Scripting
. Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases.
. Should exhibit diligence and meticulousness in working with data
. Ability to Translate complex machine learning problem statements into specific deliverables and requirements
. Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles
. Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization
. Strong understanding of evaluation and monitoring metrics for machine learning projects
. Strong understanding of containerization using docker and Kubernetes to get the models into production
. Knowledge of distributed computing frameworks and cloud ML frameworks including AWS, Azure, and GCP
Experience
. 10+ years of Software Development experience
. 4+ years of experience in the Data Science and Machine Learning techniques
. Proven track record of getting ML models into production
. Hands-on experience with writing ML models with Python.
. Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. would be a plus
Job tags
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