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Business Analyst Cld

Location Bengaluru, India
Posted 30-August-2021

Roles and Responsibilities

Face customer to quickly assess the use-case, understand the requirements and the scope of work

Lead the AI/ML team from concept, solution design to execution/launch and ensure solution fully serves the need for customer.

Provide technical leadership to different projects and work as an SME in multiple projects.

Prepare technical implementation plans, migration plans, and coordinate with different teams on execution.

Continually research, test, investigate new technologies, methods, and integration of emerging technologies into projects.

Responding to RFP/RFI, providing technical solution, developing POC, providing estimation, statement of work, risks.


Excellent written and verbal communication skills for coordinating across teams.

A drive to learn and master new technologies and techniques.

Strong problem-solving skills with an emphasis on product development

Hands-on programming and architecture capabilities in Python, Java, or SCALA

Architectural Experience in big data stores (in order of importance): Elastic, Cassandra, Hbase, Hive, HDFS,Map Reduce etc.

Experience product engineering using big data processing and streaming platforms Apache Spark and Apache Kafka or Apache Flink. Other platforms will be helpful.

Experience deploying production-grade machine learning solutions on publiccloudplatforms

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Essential Skillset:

Coding knowledge and experience with several languages: C, C, Java, JavaScript, etc.

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Experience querying databases and using statistical computer languages: R, Python, SQL, etc.

Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.

Experience analysing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Working Knowledge or experience of using modelling tools like Knime, Rapidminer, H2O or SAS preferred.

Experience in Machine Learning Libraries and Notebooks: Spark ML/MLib, TensorFlow, R Server, Zeppelin, Jupyter etc.
Min 3 to 8 Years.

Awards & Accolades for MyTechLogy
Winner of
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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