Machine Learning Expert
Apply NowCompany: Tephra Inc.
Location: New York, NY 10001
Description:
Description:
Machine Learning Expert will work as a key member of practice team and support multiple client engagements across industries. Play a key role in understanding end to end data sources, data requirements covering structured and unstructured data and envisioning and building solutions in the conversational AI space for improving customer experience, engagement, providing better personalization, context understanding and monetization
Responsibilities:
Understand end to end data requirements covering structured and unstructured data and design solutions which can be used for building superior conversational experiences and next best action
Work closely and seamlessly with multiple stakeholders and cross functional teams
Lead customer discussions related to data usage for Conversational AI and how the data can be organized and real-time insights can be captured for continuous action
Choosing, extending and innovating ML solutions for various problem and opportunity areas
Design solutions covering end to end data lifecycle from data ingestion, extraction, enrichment, building and applying models, learning, inferences and continuous training
Define solution architecture for given business context and requirements, review solution architecture, evaluate solution options (build, buy, reuse, re-engineer, migrate), evaluate technologies and define implementation plan
Building re-usable ML models, frameworks, assets, Industry solutions, reference architecture, design, development and QA best practices
Travel on short notice to customer meetings and engagements (average 50%)
Qualifications:
Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline
Hands on experience in dealing with structured and unstructured data from multiple sources and applying machine learning techniques and algorithms to discover patterns, intents and build knowledge repositories and graphs to solve enterprise problems
Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB
Hands experience implementing and deploying machine learning solutions using various machine larning algorithms like Naive Bayes, Logistic Regression, K nearest neighbors, Support Vector Machines, Hidden Markov Models, Topic modeling
Experience in using cloud based APIs and specialty processors like GPUs and TPUs
Should have strong analytics and strategic thinking skills and have demonstrated ability to communicate complex ideas through pointed analysis and data visualization
Should have good understanding of Conversational technologies involving text, voice, vision, AR/VR, Gestures and NLP platforms and APIs from Apple, Google, Amazon, Microsoft, IBM and other niche enterprise vendors
Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark
Proven development to production track record of implementing various ML solutions
Self-starter who wants to get involved, make a difference, and deliver
Ability and willingness to multi-task and learn new technologies quickly
Years of experience required for position
8 to 14 Yrs
Location for the position
NJ/NY
Machine Learning Expert will work as a key member of practice team and support multiple client engagements across industries. Play a key role in understanding end to end data sources, data requirements covering structured and unstructured data and envisioning and building solutions in the conversational AI space for improving customer experience, engagement, providing better personalization, context understanding and monetization
Responsibilities:
Understand end to end data requirements covering structured and unstructured data and design solutions which can be used for building superior conversational experiences and next best action
Work closely and seamlessly with multiple stakeholders and cross functional teams
Lead customer discussions related to data usage for Conversational AI and how the data can be organized and real-time insights can be captured for continuous action
Choosing, extending and innovating ML solutions for various problem and opportunity areas
Design solutions covering end to end data lifecycle from data ingestion, extraction, enrichment, building and applying models, learning, inferences and continuous training
Define solution architecture for given business context and requirements, review solution architecture, evaluate solution options (build, buy, reuse, re-engineer, migrate), evaluate technologies and define implementation plan
Building re-usable ML models, frameworks, assets, Industry solutions, reference architecture, design, development and QA best practices
Travel on short notice to customer meetings and engagements (average 50%)
Qualifications:
Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline
Hands on experience in dealing with structured and unstructured data from multiple sources and applying machine learning techniques and algorithms to discover patterns, intents and build knowledge repositories and graphs to solve enterprise problems
Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB
Hands experience implementing and deploying machine learning solutions using various machine larning algorithms like Naive Bayes, Logistic Regression, K nearest neighbors, Support Vector Machines, Hidden Markov Models, Topic modeling
Experience in using cloud based APIs and specialty processors like GPUs and TPUs
Should have strong analytics and strategic thinking skills and have demonstrated ability to communicate complex ideas through pointed analysis and data visualization
Should have good understanding of Conversational technologies involving text, voice, vision, AR/VR, Gestures and NLP platforms and APIs from Apple, Google, Amazon, Microsoft, IBM and other niche enterprise vendors
Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark
Proven development to production track record of implementing various ML solutions
Self-starter who wants to get involved, make a difference, and deliver
Ability and willingness to multi-task and learn new technologies quickly
Years of experience required for position
8 to 14 Yrs
Location for the position
NJ/NY