High-priority various c2c requirements: Data sceintist(Machine Learning engineer) and Datastage developer

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Md Imtiaz

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Aug 4, 2021, 2:26:01 PM8/4/21
to md.i...@my3tech.com
Hope this email finds you well!!!  

This is Imtiaz from My3tech  

I have an urgent job opportunity with my client 

Please find Job Description mentioned below and let me know if you are interested and available for below position  


Position-1- Machine Learning/ML Engineer – 02 Positions

Position-2-MLOPS Engieer OR ML Engineer with DevOps

Position-3- Datastage developer



 Position-1

Machine Learning/ML Engineer – 02 Positions


Location: Remote, Can be Anywhere, Preferably in West Coast or someone who can work in PST


 

  • 5+ years of industry experience or a PhD + 2 years industry experience in applied Machine learning.
  • Strong coding skills in Python/Java/Scala or equivalent
  • Experience with distributed data processing tools like Hive, Spark, Airflow and popular ML frameworks like Tensorflow or Pytorch is preferred
  • Solid understanding of engineering best practices and complexities of models in production
  • Experience developing and productionizing machine learning models is a plus
  • Experience with Docker, Kubernetes, Spark is a plus
  • Experience with distributed data processing tools like Hive, Spark, Airflow is a plus
  • Industry experience building end-to-end Machine Learning Infrastructure a bigplus
 

Position-2

MLOPS Engieer OR ML Engineer with DevOps

East Hanover, NJ

                                                                                                                                                                    

 

Job Description:

1.     8 to 10 years of industry experience working in Software Engineering, DevOps or Data Engineering with Data Science and MLOps experience.

2.     Strong DevOps, Data Engineering and Client background with AWS Experience with one or more of MLOps tools: DataIKU, ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC) etc. Experience in Distributed computing, Data pipelines, and AI/Client.

3.     Experience in DataIKU, Data Bricks, and Azure Kubernetes service.

4.     Extensive experience with Unix/AIX/Linux environments

5.     Experience with automation servers such as Jenkins, CloudBees, Travis, Gitlab actions

6.     Experience with logging tools such as Splunk, ElasticSearch, Kibana, Logstash

7.     Familiarity with setting up Hyperparameter Tuning tools like DataIKU/ kubeflow/AWS Sagemaker or similar

8.     Familiarity with setting up model and experiment Versioning technologies like MLFLow/Kubeflow/AWS Sagemaker or similar

9.     Familiarity with JIRA and SNOW process.

Skills:

Preferred: DataIKU, Data Bricks, DevOps Tools like Jenkins, Gitlab

Good to have: Azure Kubernetes service, AWS Sagemaker/MLFlow

 

 

Roles & Responsibilities:

1.     Ensure reliability and cost saving. Scale the proof of concept product to enterprise grade application with all the required components for reliability, scalability, monitoring and security.

2.     Suggest and implement the best practices from Software engineering to ML workflow to ensure CI/CD, reproducibility and quick delivery cycle.

3.     Suggest and implement best governance process and user access management

4.     Lead and drive the deployment of ML models, life cycle management and monitoring of Machine Learning(ML) and Deep Learning (DL) models in in all stages leading to production

5.     Be a subject matter expert on DevOps practices, CI/CD and Configuration Management with assigned engineering team

6.     Automate and streamline ML operations and processes.

7.     Build and maintain tools for deployment, monitoring, and operations. Also troubleshoot and resolve issues in development, testing, and production environments

8.     Operate and maintain systems supporting the provisioning of new clients, applications, and features

9.     Work to improve Data scientist and Data engineer productivity and delivery speed by enabling them to be more self-sufficient with automated operational processes.

10.  Successfully devise and implement strategies to ensure ML heavy systems operate with high accuracy in Production and adapt to discovered needs.

11.  Collaborate with Data Scientists, Data Engineers, ML Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML/DL model life cycle

12.  Consumer ticket triage and assignment(SNOW support)

13.  Co-ordinate with required teams for ticket resolution, exploration and automation


Position-3

Datastage developer

Dearborn, MI


 

Responsibilities:

  • Provide technical expertise in designing, documenting and coding new business initiatives
  • Ability to translate complex business requirements to optimal technical solutions
  • Trouble-shoot and identify root cause of problems when process fails
  • Develop code to automate the existing manual processes
  • Work independently and in collaboration with offshore & onsite developers, lead projects
  • Develop technical and functional test plans and scripts to validate the successful design, development and implementation of system and reporting deliverable
  • Contribute to prioritization and stewardship of projects, goals and expectations

Qualifications:

  • Proficient in Relational Database Management Systems (RDBMS) such as Oracle or SQL Server
  • Proficient in data transformation (ETL) tools such as DataStage, IBM Infosphere
  • Working knowledge of scheduling software, XML files
  • Experience in writing complex SQL statements, batch files
  • Experience in developing and/or supporting Accounting, Finance or Investments systems
  • Ability to deliver effectively in a fast paced environment
  • Strong communication and organizational skills

Preferred Qualifications:

  • More than 5 years of software development experience in an agile.
  • Experience in PL/SQL (Oracle) , ETL, IBM InfoSphere, DataStage, UNIX shell scripting framework components


 




 





Please Email me a copy of your updated resume along with the details mentioned below.   

Applicant Details 

Full Legal Name: 

 

Mobile and Home Phone No: 


Email ID Mandatory: 

 

LinkedIn ID Mandatory: 

 

Current Location: 

 

US work authorization/ Visa validity: 

 

Passport Number Mandatory: 

 

Willing to Relocate (Yes/No): 


Total Experience: 


Best Time for Evaluation: 

 

Best time to reach you: 


Availability for Project in weeks: 


Masters / University Name / Year Of passing 


Bachelors / University Name / Year of passing 

Rate/Salary: 






If this project does not match your exact skills perhaps you know of someone with the necessary experience and availability; if so, please feel free to forward this e-mail at your discretion or pass on their references to me. 



Thanks & regards,

Md Imtiaz

1601 N Harrison Ave, STE # 2B, Pierre, SD 57501

Phone: 605-220-5981 ext 116| Direct: 214-758-7404| md.i...@my3tech.com

F: (605) 609-2010  | W: www.my3tech.com

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