Machine Learning Engineer

Experis
Durham, NC Full Time
POSTED ON 2/8/2023 CLOSED ON 2/14/2023

What are the responsibilities and job description for the Machine Learning Engineer position at Experis?

Job Description

Hello,
Greetings from Experis!!!
Hope this finds you well!
Location: Westlake, TX and Durham, NC, Jersey City, NJ, Boston, MA
Contract: 6-12 Months
I am Kamlesh, Technical Recruiter at Experis Group.
We are currently looking to hire Machine Learning Engineer and we believe your skills and expertise are a better match for this role. This is Hybrid role so if you are interested reply to me and send your updated resume in my mail ID.
Would you be available for a quick call to talk about our new position? I would also be happy to coordinate via email if you prefer.
If you are interested, please help me with your updated resume.

The Expertise and Skills You Bring
  • Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.)
  • 8 years of proven experience in implementing Big data solutions in data analytics space
  • 2 years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker
  • Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required
  • Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)
  • Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks
  • Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies
  • Strong knowledge of developing highly scalable distributed systems using Open-source technologies
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)
  • Solid experience in Agile methodologies (Kanban and SCRUM)
  • Strong technical design and analysis skills
  • Ability to deal with ambiguity and work in fast paced environment
  • Experience supporting critical applications
  • Familiarity with applied data science methods, feature engineering and machine learning algorithms
  • Data wrangling experience with structured, semi-structured and unstructured data
  • Experience building ML infrastructure, with an eye towards software engineering
  • Excellent communication skills, both through written and verbal channels
  • Excellent collaboration skills to work with multiple teams in the organization
  • Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.
What are the top skills candidates must have coming in the door?
10 year of programming (3 years in Python - people who can write in Python) / Fast API or Flask
2 years of AWS experience in the Engineering space (need to know the Ecosystem)
Clear communication skills.
PandoLogic. Keywords: Machine Learning Engineer, Location: Durham, NC - 27701
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