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Machine Learning / Operations Architect (AWS) IRC115315
| Job: | IRC115315 |
| Location: | Germany | Remote |
| Designation: | Consultant |
| Experience: | 10-15 years |
| Function: | Engineering |
| Skills: | Amazon Machine Learning, Apache Spark, EC2, Hadoop, Hive, Tensorflow |
| Remote | Yes |
Description:
Our Client
Our Client is world-leading manufacture of premium quality “smart” beds designed to help answer questions around not being able to sleep at night through innovative technologies and digitilized solutions.
Our client is a fast moving, highly technical team of people with the ambitious goal of bringing people better health and well-being through the best possible sleep experience, aimed to be the leader in sleep. The product combines established expertise in creating comfortable, adjustable beds with the latest in sleep science, cutting-edge sensor technology, and data processing algorithms.
The Role:
We are seeking a highly skilled and energetic MLOps Architect to design and implement an enterprise Machine Learning and Artificial Intelligence (ML/AI) capability (process/governance) with Algorithmia as the deployment platform and AWS as our Cloud Infrastructure.
The selected candidate will initially focus on establishing model deployment practices, Algorithmia configuration (worker/reservations & model specific monitoring, etc.), production support (facilitate model deployment, etc.) and model development support (data pipelines, code and data storage, model tuning, etc.) while working across leadership, data engineering, architecture, security, and the broader data scientist community to elevate MLOps best practices across the enterprise.
Requirements:
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Total 5+ years of experience in Bigdata domain with last 12-18 months focused on ML Ops
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Experience on establishing and maintaining listed ML models such
1. Model hyperparameter optimization
2. Model evaluation and explainability
3. Model Training
4. model management, version tracking & storage
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Hands-on experience with hosting of production ML models considering aspects of Observability, Deployment, Serving, Validation, Compliance and Audit of models
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Experience on supporting model builds by developing ML platforms offering capabilities of hosted notebooks (e.g. JupyterHub or Databricks), experiment tracking (ML Flow, or Comet), model management, version tracking & storage (eg. Google AI), model training (e.g. Dataiku or KubeFlow), model hyperparameter optimization (Comet or AWS Sagemaker) and model evaluation and explainability (Tensorflow or Streamlit)
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Experience with maintaining Data Quality frameworks such as OwlDQ, or Great Expectations and Data Catalogs such as Alation, Apache Hive, AWS Glue, Apache Atlas (Any one of them is good enough)
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Experience with distributed systems like big data processing/streaming/storage engines (e.g., Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive), different Cloud environments (e.g., AWS or GCP) or resource management systems (e.g., Apache Mesos or Kubernetes)
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Extensive programming experience in any of these language Java, Scala, Python or Go (Any one of them is good enough)
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Experience administering Hadoop applications such as HDFS, MapReduce, YARN, Hive, Pig, Oozie, Slider, Sqoop, Airflow, Ranger, Griffin, Atlas, DatalQ
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Experience with AWS Services such as Elastic Compute Cloud (EC2), Auto Scaling, Elastic Load Balancing (ELB), CloudFormation (CF), Identity and Access Management (IAM), CloudTrail, CloudWatch (CW),Simple Storage Service (S3), Elastic Block Store (EBS), Elastic File System (EFS)
Job Responsibilities:
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Design architecture and implement ML platform built over the AWS platform
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Work with Data Science Research team to deeply understand their business and technical needs and design solutions that make the best use of the AWS services.
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Develop proof of concepts to evaluate and validate design or solution
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Communicate and present to the senior leadership team
What We Offer
Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off on your birthday.
Professional Development:We provide continuing education classes, professinal certification and training (technical, soft skills, language, and communication skills) to help you realize your professinal goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
Excellent Benefits:We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.
Fun Perks:We want you to love where you work, which is why we cater breakfast daily and offer discounts for popular stores and restaurants!
About GlobalLogic
GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.
Headquartered in Silicon Valley, GlobalLogic employs over 18,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.
At GlobalLogic, we make amazing products — and careers.
