Machine Learning Engineer :: Newyork - MLE26

New York, NY New York NY 10286

Date : Jan-23-18

Machine Learning Engineer :: Newyork - MLE26

New York, NY

Jan-23-18

Work Authorization

US Citizen
GC
H1B
GC EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

Market

Duration

:

Long Term

Sp. Area

:

AI, ML, NLP, Data Science

Sp. Skills

:

Data Scientist

Consulting / Contract

Required Skills :

"Machine Learning", "Data scientist"

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
GC EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

Market

Duration

:

Long Term

Sp. Area

:

AI, ML, NLP, Data Science

Sp. Skills

:

Data Scientist

Consulting / Contract

Required Skills :

"Machine Learning", "Data scientist"

Preferred Skills :

Domain :

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innova solutions Inc
Wilmington, DE
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Job Description :

Role Name: Machine Learning Engineer
Location: Newyork
Essential Skills:
5+ years of software engineering/data science experience with 2+ years in data engineering plus a Master’s degree in Computer Science (or related field) or equivalent professional experience combined with a Bachelor’s degree
Extensive experience with Python and libraries (e.g. NLTK, gensim, spaCy, and pandas)
Experience with Apache Spark (especially SparkML) and/or Apache Hadoop
Strong experience in NLP, specifically topic modeling and text classification
Experience with build and dependency management tools (Gradle, sbt, Maven, npm)
Understanding of TF-IDF and tools like Apache Solr
Ability to build cloud native apps on Amazon Web Services
Good experience with agile development processes like Scrum and Kanban
Insist on automating everything (testing, Continuous Integration, Continuous Delivery)
Experience in working on the command line in a Unix/Linux environment
JD:
Building, maintaining, and optimizing data pipelines and ETL jobs
Working with a text, video, and images to extract useful metadata
Collaborating across the team to shape the Data Platform technology stack
Writing technical documentation
Improving automation and test coverage (unit/integration/user acceptance tests, etc
Keeping up to date with modern data engineering technologies
Desirable Skills:
Experience with one or more NoSQL databases such as Cassandra, DynamoDB, MongoDB, Neo4J, or RDF triple stores
Experience with data pipeline tools such as Apache Airflow, Luigi, AWS Data Pipeline
Experience scaling machine learning pipelines and SparkML specifically

Client : XXX

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