687 machine learning engineer jobs found

Are you ready to see your future like never before? If so, Alcon is the place for you! A career at Alcon is like no other. We are innovative. We are impactful. We are the largest eye care medical device company helping restore sight and allowing millions of people worldwide to see brilliantly. We have a long history of industry firsts and a diverse hardworking team that keeps us on the cutting edge. Alcon R&D is currently hiring a Machine Learning Engineer (MLE) to join our Medical Device Data Team to help design, develop and operationalize machine learning systems to augment its digital product portfolio with AI/ML enabled technology. This role involves creating and executing ML pipelines for data loading, preprocessing, hyper-parameter tuning, training jobs, model registration, deployment, and monitoring models. The MLE’s responsibilities also include leveraging CI/CD to automate the retraining and rebuilding of ML models on Alcon’s Cloud platform. Additional...

Junior Machine Learning Engineer – £55,000plus benefits & share scheme – London A growing AI start-up that focuses on solving increasing data challenges created by the continued growth of private markets is looking to hire a junior machine learning engineer with a strong background in Python to support their talented data science team. Key Benefits for Junior Machine Learning Engineer Working alongside a data science team whilst having the opportunity develop your data science skill set if you would like to move in that direction A greenfield AI project where you can have substantial impact upon the product and company direction £55k plus a shares and benefits The company was founded by an experienced team of financial software and capital markets professionals. They now have offices in London, New York and Paris, and use a variety of machine learning techniques to automate the understanding of unstructured and semi-structured documents, simplifying the demanding workflows of...

Hybrid Role - 3 Days Onsite/2 Days Remote   Position: Machine Learning Engineer with ML model development experience in AWS sagemaker   Terms: All candidates must be fully vaccinated. 3 Days a week onsite to help team stay are track Must Haves: Experience in deploying machine learning models into production. Good understanding of end-to-end ML workflow from data collection to deployment/monitoring/maintenance. Able to assist data scientists with EDA, developing algorithms, model development, execution on models and optimization methods. Able to ensure that ML models are deployed in a consistent way and without impacting performance of the production system. Experience in ML model development, EDA process and AWS infrastructure and services as it related to data sciences. Understanding of ML model process Knowledge of tools like AWS Sagemaker, Jupyter notebook & python libraries Able to setup pre-processing data for EDA Able to code &...

What You Will Do As a Senior or Lead Machine Learning Engineer, you will create optimized, state of the art 3D graphical user interfaces and build physics simulation engines that scale across millions of assets. As part of this, you will: Develop approaches to generate accurate models from imperfect data using deep learning and classical algorithms Develop approaches for intelligent network scale insights Develop and optimize training pipelines Develop data structures that can perform in real-time with user interaction on large underlying data sets Work with a variety of data sources, including LiDAR, aerial photography & photogrammetry, and structured data. Put your software engineering skills to the test in organizing functionality for many use cases in a complex domain (this is not an "on click button, send RPC" kind of application) Mentor other engineers in best practices Who You Are You are a Senior / Lead Machine Learning Engineer with a strong...

About the company This startup company has received backing from a well recognised multinational brand, so it now has the perks of both a small, intimate business and the security of a mature global brand. Combining your knowledge of Python and passion for Machine Learning, put yourself in the position to help countless people protect themselves and their families. The Gig We are looking for a Junior Machine Learning Engineer who will be responsible for executing the full software development lifecycle (from analysing needs through to testing the new software to ensure it meets the identified needs). This position works closely with product, operations and data science teams to deliver new features. You'll Need: 3-4 years+ engineering experience 2yrs Python experience Extensive experience building API's Integration experience AWS C++ is a bonus Advocate of engineering best practices eg unit testing Benefits Above market salary package...

About the company This startup company has received backing from a well recognised multinational brand, so it now has the perks of both a small, intimate business and the security of a mature global brand. Combining your knowledge of Python and passion for Machine Learning, put yourself in the position to help countless people protect themselves and their families. The Gig We are looking for a Junior Machine Learning Engineer who will be responsible for executing the full software development lifecycle (from analysing needs through to testing the new software to ensure it meets the identified needs). This position works closely with product, operations and data science teams to deliver new features. You'll Need: 3-4 years+ engineering experience 2yrs Python experience Extensive experience building API's Integration experience AWS C++ is a bonus Advocate of engineering best practices eg unit testing Benefits Above market salary package...

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. Job Description Summary: PayPal is looking for an individual contributor with strong ML engineering background in the Global Analytics and Data Science (GADS) Organization to design and develop a suite of machine learning solutions driving large-scale personalization of financial services, merchant products and action recommendations for millions of PayPal customers across the world. Job Description: Meet our team PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. In a high-impact and high-visibility...

Hi, Hope you are doing well! This is Yugandhar from Mind Quest software Solutions, (Technical Recruiter) We do have a requirement on  Machine Learning Engineer Role: Machine Learning Engineer Location: Atlanta, GA – Onsite Rate: Market rate Must Have Skills (Most Important) Candidates must possess 8+ years of overall software development experience. Must have 7+ years of relevant work experience in data ingestion on streaming / real-time platforms. Must have 7+ years of recent experience as a developer using Java/C++/Python Must have 7+ years of recent experience working with data stream processing technologies like DataFlow, IBM Streams, Apache Flink, or Spark Streaming Must have 7+ years’ experience operationalizing AI/ML pipelines in a real-time environment Must have 7+ years’ experience building input streaming data pipelines for AI/ML use cases Must have experience implementing NLP models in real-time...

Role: Machine Learning Engineer with Python and AWS : (5 Days onsite in month) *   8+ years of proven experience in implementing Big data solutions in data analytics space *   3+ 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...

Role: Machine Learning Engineer Location: Atlanta, GA Onsite role USC's are Encouraged for this position ***Candidates with the skill set listed but maybe with fewer years of experience is also fine, but has to be genuine. Must Have Skills (Most Important) Candidates must possess 8+ years of overall software development experience. Must have 7+ years of relevant work experience in data ingestion on streaming / real-time platforms. Must have 7+ years of recent experience as a developer using Java/C++/Python Must have 7+ years of recent experience working with data stream processing technologies like DataFlow, IBM Streams, Apache Flink, or Spark Streaming Must have 7+ years' experience operationalizing AI/ML pipelines in a real-time environment Must have 7+ years' experience building input streaming data pipelines for AI/ML use cases Must have experience implementing NLP models in real-time environment Must have 7+ years...

Machine Learning Engineer Location: Alpharetta-GA-USA Hybrid (three days a week) Duration 12 months   MUST HAVE SKILLS (Most Important): Candidates must possess 7+ years of overall software development experience. Must have 7+ years of relevant work experience in data ingestion on streaming / real-time platforms. Must have 7+ years of recent experience as a developer using Java/C++/Python Must have 7+ years of recent experience working with data stream processing technologies like DataFlow, IBM Streams, Apache Flink, or Spark Streaming Must have 7+ years’ experience operationalizing AI/ML pipelines in a real-time environment Must have 7+ years’ experience building input streaming data pipelines for AI/ML use cases Must have experience implementing NLP models in real-time environment Must have 7+ years of recent experience working with streaming data stores like Cassandra or Redis Must have experience of handling Large volume of data in...

Job Title: Machine Learning Engineer Location: Alpharetta, GA(onsite) Duration: 12+ Months Experience:7+ years   MUST HAVE SKILLS (Most Important): Candidates must possess 7+ years of overall software development experience. Must have 7+ years of relevant work experience in data ingestion on streaming / real-time platforms. Must have 7+ years of recent experience as a developer using Java/C++/Python Must have 7+ years of recent experience working with data stream processing technologies like DataFlow, IBM Streams, Apache Flink, or Spark Streaming Must have 7+ years’ experience operationalizing AI/ML pipelines in a real-time environment Must have 7+ years’ experience building input streaming data pipelines for AI/ML use cases Must have experience implementing NLP models in real-time environment Must have 7+ years of recent experience working with streaming data stores like Cassandra or Redis Must have experience of handling Large volume...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.    What you’ll do in the role:  The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

We are looking for Machine Learning Engineer-Hybrid Role in Alpharetta-GA Please share your resumes at pkumar@radiansys.com Job Title: Machine Learning Engineer-Hybrid Role Location: Alpharetta-GA (Hybrid – 2-3 days a week at office) Duration 12+ Months Contract-C2C/W2 Must Have Skills (Most Important): • Candidates must possess 7+ years of overall software development experience. • Must have 7+ years of relevant work experience in data ingestion on streaming / real-time platforms. • Must have 7+ years of recent experience as a developer using Java/C++/Python • Must have 7+ years of recent experience working with data stream processing technologies like DataFlow, IBM Streams, Apache Flink, or Spark Streaming • Must have 7+ years' experience operationalizing AI/Client pipelines in a real-time environment • Must have 7+ years' experience building input streaming data pipelines for AI/Client use cases • Must have experience...

Job Title: Machine Learning Engineer Location: Alpharetta-GA-USA (Hybrid / need to go two / three days office in a week) Duration 12 months Years of experience: 6-10 Years Visa: and 1099 Preferred MUST - HAVE SKILLS : Candidates must possess 7+ years of overall software development experience. Must have 7+ years of relevant work experience in data ingestion on streaming / real-time platforms. Must have 7+ years of recent experience as a developer using Java/C++/Python Must have 7+ years of recent experience working with data stream processing technologies like DataFlow, IBM Streams, Apache Flink, or Spark Streaming Must have 7+ years’ experience operationalizing AI/ML pipelines in a real-time environment Must have 7+ years’ experience building input streaming data pipelines for AI/ML use cases Must have experience implementing NLP models in real-time environment  Must have 7+ years of recent experience working with streaming data stores like...