Machine Learning Architect #1791

Type: Full Time

Location: San Diego, CA

Pay: per client, call us

Position ID: 1791

An excellent position with a marketing partner for industry-leading businesses

* Machine Learning Architect *

Please apply ONLY if you have 5+ years direct experience in machine learning and big data and 10+ years SDLC experience

We can ONLY consider your application if you have:

1: Master Degree in Machine Learning, Data Mining, Computer Science, Statistical Inference, Mathematical modeling or similar fields

2: 10+ years of strong, demonstrable SDLC experience

3: 5+ years direct experience in the machine learning, big data space.

4: Experience implementing at least two to three Machine Learning pipelines in production.

5: Deep hands-on Technical ability. Excellent understanding of machine learning techniques and algorithms. Deep understanding of statistics and probability.

6: Experience with Hortonworks or Cloudera distributions.

7: Very strong written and oral communication skills - must able to present complex ideas in an understandable way.

8: Prior experience working with the ELK stack including Elasticsearch

9: Proficiency with one or more of Python, Java, Scala preferably in a Linux Environment.

10: Experience with deep learning frameworks such as MxNet, Caffe/2, SparkML, Gluon, TensorFlow, Theano, Keras, Pandas, NumPy, scikit-learn.

11: Experience with distributed computing frameworks, containers and microservices (Yarn, Kubernetes, AWS ECS, Mesos).

12: Experience with at least two noSQL variants - Hive, Mongodb, Cassandra, Impala, and expertise with Kafka, MLLib

13: Excellent understanding of algorithms and data structures for optimization.

14: Prior experience with traditional RDBMS (Oracle, SQL Server, etc.) and/or large scale traditional data warehousing is a must (4-5 years preferred)

15: Degree requirement may be relaxed if candidate possesses the equivalent applied machine learning experience and expertise.

We are looking for an outstanding Machine Learning Architect who will be leading the organizational transformation from traditional transactional databases and warehousing to cloud data platforms, deep learning and advance analytics domains. This position reports to the Senior VP of Engineering.

Duties and Responsibilities

== Define the strategies, roadmaps and solutions in the analytics and deep learning space and evangelize the vision to the organization.

== Primarily responsible for design, execution and delivery of exploratory concepts, rapid prototypes, and pilot solutions designed to test hypothesis and incubate transformative new capabilities by applying Machine Learning, data mining techniques, doing statistical analysis, and building high quality prediction systems.

== Implement and deploy these as an Enterprise-grade technology stack, and be responsible for all aspects of the solution - data pipelines, model generation, and training and inference engines.

== Solutions would encompass the gamut of highly-available data lakes to highly-performant-compute clusters, from storage and networking infrastructure to platforms and micro services.

== Help build an internal team, including recruiting new members and coaching and mentoring existing ones.

No interview, relocation or living expenses provided

Please send resume as a Microsoft Word attachment to

Amarx Search, Inc. amarx.com