Job Location: Bangalore
Diversity Candidates Only, Full Time
Manager – Data Scientist/ML Lead Engineer
Bangalore
Skills and Experience:
Demonstrates extensive knowledge and/or a proven record of success in data analytics, including the following areas:
- Ideally 10 to 13 years of relevant experience.
- Bachelor’s Degree in Computer Science, Engineering or other technical discipline (BE, BTech, MCA).
- Performing in development language environments–e.g. Python, Java, Scala, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages
- Must have Experience in machine learning, natural language processing, deep learning.
- Understanding of NoSQL (Graph, Document, Columnar) database models, XML, relational and other database models and associated SQL
- Understanding of ETL tools and techniques, such as tools like Talend, Map force, how to map transformation and flow of data from a source to a target system.
- Demonstrates extensive abilities and/or a proven record of success in the application of statistical modelling, algorithms, data mining and machine learning algorithms problem solving.
- A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing change.
- Leading, training and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets.
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Proven ability with NLP and text-based extraction techniques.
- Understanding of not only how to develop data science analytic models but how to operationalize these models so they can run in an automated context
- Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests.
Demonstrates extensive abilities and/or a proven record of success in the application of statistical or numerical methods, data mining or data-driven problem solving, including the following areas:
- Utilizing and applying knowledge commonly used data science packages including Spark, Pandas, SciPy, and Numpy
- Familiarity with deep learning architectures used for text analysis, computer vision and signal processing
- Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large-scale system.
- Utilizing and applying knowledge of technologies such as H20.ai, Google Machine Learning and Deep learning.
- Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained.
- Developing end to end deep learning solutions for structured and unstructured data problems.
- Developing and deploying A.I. solutions as part of a larger automation pipeline.
- Using common cloud computing platforms including AWS and GCP in addition to their respective utilities for managing and manipulating large data sources, model, development, and deployment.
- Visualizing and communicating analytical results, using technologies such as HTML, JavaScript, D3, Tableau, and PowerBI
- Job Number
VVI027
- Location
Bangalore
- EXPERIENCE NEED
10-13 Years
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