Sr. Big Data Machine Learning Developer
Company: Leidos Inc
Location: Reston
Posted on: January 19, 2023
Job Description:
Description Job Description:Are you interested in making an
immediate impact by improving and shaping the consumer
fraud-protection industry? Would you like to play a critical role
in protecting consumers from deceptive and unfair practices in the
marketplace? Leidos, a Fortune 500 information technology,
engineering and science solutions leader is seeking a Sr. Big Data
Machine Learning Developer to join the team.Leidos is looking for a
strong Sr. Big Data Machine Learning developer, who can design and
develop complex machine learning models, Web API to consume the
models, and deploy the solutions in distributed and/or cloud
environment. The candidate should perform in a demanding,
high-energy position requiring flexibility and innovative technical
solutions to the challenges of processing, interpreting, and
analyzing large volumes of data, including text.We are seeking
individuals with a unique blend of research and operational
experience, to apply machine learning models and deep learning
approaches to the problem of recognition in complex environments
given sparse or limited training data. The candidate should be able
to quickly understand existing deployed machine learning models,
big-data applications, performance tuning, optimize, log analysis,
issue resolution and continuous improvement to current operations.
The candidate should possess strong scripting skills in Java and
Python programming in Linux and Windows environments. The candidate
should be able to adopt to client needs, must be able to work
independently and with other teams, guide the business team, must
possess strong written & oral communication and collaboration
skills.Job Requirements:
- BS Degree and 8+ years experience or MS Degree and 6+ years
experience
- Experience in designing and building full stack solutions
utilizing distributed computing using Python, Scala or Java
including distributed file systems or multi-node databases.
- Strong experience in one or more areas of machine learning /
artificial intelligence such as classifications, pattern
recognition, NLP, Anomaly Detection, Recommender Systems, Sentiment
Analysis, Clustering, Decision Trees, SVM, Topic Models and Neural
Networks
- Strong experience in text analytics working with unstructured
data
- Deep knowledge and experience in supervised and unsupervised
algorithms to effectively address business problems
- Excellent understanding of common families of models, feature
engineering, feature selection and other practical machine learning
issues, such as overfitting
- Programming experience using Python (iPython notebooks),
Matlab, R (R notebook and R-Studio), Scala, Java
- Experience in Databricks and Apache Spark or other cloud native
analytics platform like Azure Synapse, Azure Data Factory
- Experience with distributed or No-SQL databases such as
DynamoDB, CosmosDB, etc., and strong skills in relational databases
such as MS-SQL with T-SQL, SSIS, SSAS or Oracle with PL/SQL,
etc.,
- Experience in cloud native ML technologies like AWS SageMaker,
AutoML or similar ML/DS platform.
- Excellent communication skills to communicate with wide
technical and business users
- Experience in building interactive visual dashboards using
Tableau or PowerBI
- Demonstrate ability to build full stack systems architected for
speed and distributed computing and MLOps
- Demonstrate ability to quickly learn new tools and paradigms to
deploy cutting edge solutions
- Adept at simultaneously working on multiple projects, meeting
deadlines, and managing expectations
Preferred Skills
- Good exposure to cloud technologies such as AWS S3, Lambda
functions, or Azure Functions etc.,
- Good knowledge of search engine technologies such as Apache
Solr, or Elastic Search and able to define schema, create
collections, ingest data into search engine and retrieve data using
streaming APIs and graph queries.
- Experience of using Deep Learning frameworks (such as
Tensorflow, Torch and Caffe)
- Knowledge of parallel computing approaches such as use of GPU
parallelization is highly desirable
- Develop both deployment architecture and scripts for automated
system deployment in AWS or on-premise systems.
- Create compelling data visualizations using Tableau, Power BI,
or Hue to communicate insights to a wide audience
- Application development experience with REST API, workflows
Oozie, crontabs, and data integration with Sqoop with various data
formats Parquet, Avro, Json, etc.,Pay Range:Pay Range $97,500.00 -
$150,000.00 - $202,500.00The Leidos pay range for this job level is
a general guideline onlyand not a guarantee of compensation or
salary. Additional factors considered in extending an offer include
(but are not limited to) responsibilities of the job, education,
experience, knowledge, skills, and abilities, as well as internal
equity, alignment with market data, applicable bargaining agreement
(if any), or other law.#Remote
Keywords: Leidos Inc, Reston , Sr. Big Data Machine Learning Developer, IT / Software / Systems , Reston, Virginia
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