Machine Learning Architect - Enterprise @ Peopleplus

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Machine Learning Architect - Enterprise

Peopleplus
10 to 16 Yrs
Bengaluru
4 years ago
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Job Description

Machine Learning Architect - Enterprise Application

Exp: 12-16yrs

Location: Bangalore

Job Descriptions

Architecture design, total solution design from requirements analysis, design and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions.
Hands-on programming and architecture capabilities in Python, Java, R, or SCALA
Minimum 6+ years of Experience in Enterprise applications development (Java, .Net)
Experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)
Strong hands-on experience with statistical packages and ML libraries (e.g. R, Python scikit learn, Spark MLlib, etc.)
Experience in effective data exploration and visualization (e.g. Excel, Power BI, Tableau, Qlik, etc.)
Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra, Hbase, Hive, HDFS
Work experience as Solution Architect/Software Architect/Technical Lead roles
Experience with open source software.
Excellent problem-solving skills and ability to break down complexity.
Ability to see multiple solutions to problems and choose the right one for the situation.
Excellent written and oral communication skills.
Defining, designing and delivering ML architecture patterns operable in native and hybrid cloud architectures.
Research, analyze, recommend and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications.
Perform research activities to identify emerging technologies and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio.

Skills and Expertise:

Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and related technologies.
Developing AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications.
In-depth experience in AI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solution and their interdependencies.
Specializes in at least one of the AI/ML stack (Frameworks and tools like MxNET and Tensorflow, ML platform such as Amazon SageMaker for data scientists, API-driven AI Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call).
Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning.

Qualification and Experience

Qualification: B.E. (Computer Science)
Experience: 12 16 Years

Employement Category:

Employement Type: Full time
Industry: IT - Software
Role Category: Application Programming / Maintenance
Functional Area: Not Applicable
Role/Responsibilies: Machine Learning Architect - Enterprise

Contact Details:

Company: Peopleplus
Location(s): Bengaluru

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Peopleplus

PEOPLEplus Professional Services Pvt Ltd is a Bangalore based Staffing and HR & Operations Solutions Provider for domestic and international companies and an acknowledged leader, especially in the R&D and High Technology domains, supporting some of the worldâ€™s best companies in identifying so...

Machine Learning Architect - Enterprise @ Peopleplus

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