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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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4+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., 2+ years of experience in building solutions for AI/ML cognitive services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment.
$74,800 - $178,200ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on Experience in using cloud-based technologies throughout data and machine learning product development. The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine-learning pipelines in production.
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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Python, and Tableau.
$128,000 - $240,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Streaming frameworks like Kafka , RabbitMQ Hands on experience with Cloud Platforms (AWS, GCP, or Azure) Experience in designing and implementing large-scale event-driven architectures Understanding of data warehousing and data modeling techniques Experience building and optimizing 'big data' data pipelines, architectures and data sets.
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Hands on business intelligence (BI) developer/engineer who will be working on designing various analytical reports and data models based on NU Facilities data and delivering them to management and other interested parties.
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Hands-on experience in designing, developing and the implementation of architectural and data deliverables in an enterprise cloud environment for a large-scale Federal government agency.
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Proficient with Application Lifecycle Management (ALM)Understanding of public cloud environments (AWS, Azure, GCP, etc)Job Description *A large financial enterprise is looking for a Senior level AI/Machine Learning Engineer to join their Global Services team to help with AI roll outs in the customer portal.
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This is an opportunity to lead the Enterprise Tech Data Management while heavily influencing the Enterprise Machine Learning Platform and Enterprise Real-Time Event Processing & Analytics Platform to support the end-to-end development and execution of Amex's data management initiative.
Starting at $85,000 - $150,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive hands-on experience with Snowflake, AWS services, dbt and Airflow. As a Senior Software Engineer, you will work alongside our experienced team of data engineers and product managers to develop and maintain our cutting-edge data handling platform using Snowflake, dbt, Sagemaker, AWS, Tableau and Airflow.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with Machine Learning services like Sagemaker, Snowflake ML. Minimum of 4 years of experience as a Software Engineer, with a focus on Software/data engineering and data platform development.
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Experience building applications on AWS, Spring Boot and Cloud native foundations. Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Hands-on experience with cloud computing using AWS, GCP or Azure. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
$132,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (GCP/AWS/Azure) and Kubernetes is a plus. Experience or knowledge in LLM and hands on fine tune experience is a big plus. Have a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etc.
$146,900 - $237,600 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands-on expertise with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data modeling, database design, and SQL. Experience with containerization (e.g., Docker, Kubernetes) and microservices architecture.
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machine learning hands on aws cloud jobs Title: data engineer
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