Big Data M/L Engineer

3 weeks ago

Chicago, United States Cedent Consulting Full time

Title: Big Data Machine Learning Engineer @ Chicago ,  IL
Terms of Hire: Full Time.
Salary: $Open + Benefits.

The candidate can also work from any of these locations:

  • Chicago , IL, US
  • Cleveland,OH,US
  • Washington,DC,US
Job description

Part of the Enterprise Payments and Analytics organization. Its mission is to lead Client’s journey to become an innovative, data driven enterprise by building advanced analytics solutions for solving business problems. Our experienced team of AI/ML and Data Science practitioners focuses on engaging, enabling, and empowering decision-makers across the enterprise by developing, managing and supporting advanced analytics products and scalable digital solutions, such as real time and on demand predictive models and prescriptive analytics, and continuously researching, specifying, and deploying next-generation analytics capabilities. We are an internal consulting and services organization that works directly with users across the firm, including Lines of Businesses and partners in Enterprise Strategy, Marketing, Data Analytics, and Enterprise Architecture, to facilitate the development of innovative solutions that help Client compete and win with analytics.

The Big Data ML Engineer fills a critical data, analytics, technology support, and innovation role for the business analytics and advanced analytics functions within the organization. The Engineer is primarily responsible for end-user product development, deployment in production framework, data analytics technical support as well as leveraging best tools and techniques, and end-user training of new emerging analytics open source technologies. S/he is also the primary conduit for identifying, researching, and evaluating new and innovative technologies that enhance the organization’s enterprise analytics and advanced analytics capabilities.

ESSENTIAL JOB FUNCTIONS

The ML Engineer works both independently and in collaboration with a cross-functional team of Data scientists and solution system architects to effectively develop, deploy, monitor, manage, and support AI/ML models and advanced analytics technology, data infrastructures, and underlying analytics use cases—primarily focused around open source technologies including cloud infrastructures. This individual evaluates short/long-term business needs required to support Client business goals and priorities and works to ensure Advanced analytics solutions are built and deployed in an effective and efficient manner on Client Enterprise systems. Under the guidance of the Group’s Director and in cooperation with partners in decision science, technology, and data the Engineer will coordinate the development of on-premise and cloud-based analytical non-production and production infrastructure and tools providing computational and statistical capabilities to enhance business results and monetize on Client data assets for business decision management solutions. The Engineer will be working closely with data scientists, data mining experts, and business partner supporting the design of experiments and analytics, data sampling and mining, verification of data quality and information integrity, and best practices around the development and deployment of predictive/prescriptive models, DevOps operational systems and practices, and data visualization solutions. The Engineer has responsibility for advising data scientists, Agile project teams, and solution architects in the integration of analytical models/methods into decision management solutions. The Engineer will assist peers in best practices and in the selection and integration of appropriate tools to support required analytic products in close coordination with the organization’s AI/AutoML analytics, digital intelligence engineers, solution/data architects, data integration developers, and data science community ensuring tight integration of functionality and toolsets.

REQUIRED QUALIFICATIONS
  • Bachelor's degree in computer science, electrical/electronic engineering or other engineering or technical discipline is required.
  • Minimum of 8 years of experience in IT and Big data software development is required
  • Minimum 3+ Predictive Analytics model implementation experience in production environments using ML/DL libraries like TensorFlow, H20, Pytorch, Sci-kit Learn.
  • Experience in using NLP, Bi/Visual analytics, Graph Databases like Neo4j/Tiger Graph is preferred,
  • Experiences in designing, developing, optimizing and troubleshooting complex data analytic pipelines and ML model applications using Spark, HDFS and other big data related technologies
  • Programming in Python, R or Scala using distributed frameworks like PySpark, Spark, SparkR
  • Working Knowledge in IDE environment/Tools like Jupyter, R Studio, GitHub, Docker, Jenkins
  • Solid knowledge of data warehousing such as Hadoop, MapReduce, HIVE, Apache Spark, as well as cloud base data storage: Google Cloud Storage with various formats (Parquet, JSON, ORC, Avro, delimited)
  • Solid understanding of databases such as DB2, Oracle, Teradata, MySQL, PostgreSQL
  • Extensive Experience with R and Python including language-specific and data science-oriented packages required.
  • Experience with Hadoop and Spark cluster, SparkSQL, Spark ML, and other third-party machine learning algorithms using Scala, PySpark and/or SparkR
  • Experience with Linux/Unix required
  • Exposure to Google Cloud services- GCP or any cloud environment.
  • Working experience on Apache Airflow
  • Experience in enterprise scale analytic solutions development and deployment with high performance, scalability, availability & reliability.
  • Certified Professional Google Data Engineer preferred
  • Candidate must be a self-starter and creative problem-solver with an innovative and curious mindset.
  • Must have a working knowledge of advanced technology uses cases in financial services including machine learning, interactive data visualization, cloud computing, and streaming analytics.
  • Strong communication skills and the ability to interact and collaborate with all levels of the organization.
  • A broad, enterprise-wide view of the business and varying degrees of appreciation for strategy, processes and capabilities, enabling technologies, and governance
  • The ability to recognize pain points within the organization, functional interdependencies and cross-silo redundancies. Those issues may exist in role alignment, process gaps and overlaps, and business capability maturity gaps
  • The ability to apply architectural principles, methods, and tools to business challenges
  • The ability to create capability portfolios and technical roadmaps addressing gaps
  • The ability to understand and recognize the economics of technology and the business goals
  • The ability to perform industry analysis and identify business and technology trends specific to the portfolio
  • The ability to visualize and create high-level models that can be used in future analysis to extend and mature the business architecture
  • The ability to assist business case creation and realization by aligning business goals to organizational capabilities
  • Strong situational analysis and decision-making abilities
  • Financial and/or Banking background preferred.
What are the 3-4 non-negotiable requirements on this position?
  • 1. Experience in open source technologies (Python, Hadoop, Spark, etc.) 2. Experience in Cloud environment, Google Cloud platform preferred 3. Machine learning expertise
What are the nice-to-have skills?
  • Finance/banking background
You Will Enjoy:
  • An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way
  • Apply today to learn more and be part of our Growth story.
All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.

 

Department: Scout
This is a full time position

Personal Information * First name
* Last name
* Email
Address
City
State
Zip code
* Phone number
Attachments * Attach your Resume Attach Dropbox Paste Attach a Cover letter Attach Dropbox Other Information How did you hear about this position? * Your Legal Work Authorization in the US? * Are you currently employed? * if Hired when will you be able to start? * What is your desired salary/hourly rate? * If on valid work authorization visa, are you associated with any employer for your new assignment? If yes, please give employer details? * What is your motivation for Change/New Job Opportunity? * If Currently working, what is your Notice period? #J-18808-Ljbffr

  • Big Data Engineer

    3 weeks ago

    Chicago, United States Tiger Analytics Full time

    Job DescriptionJob DescriptionTiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by...

  • Big Data Engineer

    1 month ago

    Chicago, United States Tiger Analytics Full time

    Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research...

  • Data Engineer

    2 weeks ago

    Chicago, United States The LaSalle Group Full time

    Want to grow your career with one of the fastest growing industries? LaSalle Network is partnered with a top Chicago-based client looking to hire a Data Engineer their team. The Data Engineer will be responsible for delivering strategic and tangible solutions through data. We are looking for self-starters that have the ability to work cross-functionally...

  • Big Data Developer

    3 days ago

    Chicago, United States NEXT GEN IT INC Full time

    **Top Skills - Must Haves** - Hadoop - Sql - Spark - rest api - PHP (must have) - Python - Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL. Experience working with SPARK Structured steaming is ideal. - Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json,...

  • Big Data Architect

    4 days ago

    Chicago, United States NavitsPartners Full time

    Job Description Job Description Position: Big Data Architect Location: Chicago, IL Duration: 1 Year Job Description: We are seeking a highly skilled Principal Consultant-Senior Data Engineer SRE (Site Reliability Engineer) to join our team in Chicago, IL. In this role, you will be responsible for designing, building, securing, and maintaining data...

  • Big Data Architect

    2 weeks ago

    Chicago, United States NavitsPartners Full time

    Job DescriptionJob DescriptionPosition: Big Data Architect Location: Chicago, ILDuration: 1 YearJob Description:We are seeking a highly skilled Principal Consultant-Senior Data Engineer SRE (Site Reliability Engineer) to join our team in Chicago, IL. In this role, you will be responsible for designing, building, securing, and maintaining data infrastructure...

  • Senior Data Reliability Engineer

    1 day ago

    Chicago, United States CME Group Full time

    Senior Data Reliability Engineer (Data SRE) CME Group is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than that, here you can impact markets worldwide, transform industries and build a career shaping tomorrow. We invest in your success and you own it, all the while working alongside a team of leading experts who...

  • Application Consultant

    7 days ago

    Chicago, United States Ampcus Full time

    Role: Application Consultant - Big Data Work Location: RemoteJob Description: "• Work with the BA's and Business to understand the requirements • Create the source to target mapping that documents the business name, definitions, business and data quality rules, RDM, Source and target and transformation logic. • Ability to create and update models,...

  • Data Engineer

    3 weeks ago

    Chicago, United States Optomi Full time

    Optomi, is in partnership with an Enterprise Automotive Repair Company, is seeking a Mid-Senior Level Data Engineer to join and grow the Data/BI Team in the Chicago Area.What The Right Professional Will Enjoy!The ability to work with emerging technologies in the data engineering and cloud spaceA company that harbors internal growth and leadership...

  • Data Engineer

    3 weeks ago

    Chicago, United States Optomi Full time

    Optomi, is in partnership with an Enterprise Automotive Repair Company, is seeking a Mid-Senior Level Data Engineer to join and grow the Data/BI Team in the Chicago Area.What The Right Professional Will Enjoy!The ability to work with emerging technologies in the data engineering and cloud spaceA company that harbors internal growth and leadership...

  • Data Engineer

    3 weeks ago

    Chicago, United States Optomi Full time

    Optomi, is in partnership with an Enterprise Automotive Repair Company, is seeking a Mid-Senior Level Data Engineer to join and grow the Data/BI Team in the Chicago Area.What The Right Professional Will Enjoy!The ability to work with emerging technologies in the data engineering and cloud spaceA company that harbors internal growth and leadership...

  • Senior Data Reliability Engineer

    5 days ago

    Chicago, United States Chicago Mercantile Exchange Inc. Full time

    Description Position Overview: Data System Reliability Engineer (dSRE) CME Group: Where Futures Are Made CME Group is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than that, here you can impact markets worldwide, transform industries and build a career shaping tomorrow. We invest in your success and you own it, all...

  • Senior Data Reliability Engineer

    4 weeks ago

    Chicago, United States CME Group Full time

    Description Position Overview: Data System Reliability Engineer (dSRE) CME Group: Where Futures Are Made CME Group is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than that, here you can impact markets worldwide, transform industries and build a career shaping tomorrow. We invest in your success and you own...

  • Senior Data Reliability Engineer

    3 weeks ago

    Chicago, United States CME Group Full time

    Description Position Overview: Data System Reliability Engineer (dSRE) CME Group: Where Futures Are Made CME Group is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than that, here you can impact markets worldwide, transform industries and build a career shaping tomorrow. We invest in your success and you own...

  • Senior Data Reliability Engineer

    1 day ago

    Chicago, United States CME Group Full time

    Description This role is hybrid requires to be 2 days on site in our Chicago office. This role does not allow to work outside of Illinois state. Position Overview: Data System Reliability Engineer (dSRE) CME Group: Where Futures Are Made CME Group is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than...

  • Data Engineer

    2 weeks ago

    Chicago, United States Ci Software Full time

    *Data Engineer* *Location: Chicago, IL (Hybrid- 3 days Onsite) * *PR: $80-85/hr on W2**JOB DESCRIPTION* * Develops and troubleshoots data integration solutions with complex data transformations and provides guidance to other team members * Influences other team members to achieve commitments per guidance from Chapter Leads and actively contributes to agile...

  • Director of Data Engineering and Analytics

    6 days ago

    Chicago, United States INISGHT2PROFIT Full time

    Overview INSIGHT2PROFIT is looking for a Director of Data Engineering & Analytics that can drive tactical execution in a fast-paced client service environment and be a strategic thought leader for how we invest in this critical capability area.  In this role you will oversee a growing team of experienced data and analytics professionals that play a...

  • Senior Software Engineer

    4 days ago

    Chicago, United States Balyasny Asset Management Full time

    ROLE OVERVIEW The Senior Software Engineer will be a key member of a small, focused product team working to create the core data platform that BAM’s data analysts, data scientists, quantitative investors, and researchers can rely on for sourcing investment data sets. The platform’s cloud-native ecosystem includes Dockerized ingestion pipelines running in...

  • Data Engineer Intern

    3 weeks ago

    Chicago, United States CME Group Full time

    Description CME Group is currently looking for a Data Science summer intern. This candidate will assist the Data Science team on day-to-day activities in support of Data Engineering such as building python and bigquery based ETL applications, build bigquery SQLs to enhance business users experience with GCP datasets. Principal Accountabilities: Create...

  • Test Engineers/Developers with Control M

    2 days ago

    Chicago, United States Donato Technologies, Inc Full time

    Job DescriptionJob DescriptionSenior Test Engineers/Developers with Control MLocation Chicago, IL (Should work from Office three times a week)Details given below. Skills needed Senior Test Engineers/Developers who have hands-on experience in Control M migration from Zena.They should also have experience supporting technologies like Datastage, Teradata and...