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3 jobs found

Today

AI & Machine Learning Engineer

OneBlood Saint Petersburg, FL

Saint Petersburg, FL

Today

Full time Agentic Ai Systems Ai Ml Artificial Intelligence

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Job Description

OneBlood builds practical AI and Machine Learning capabilities that help teams find insights, optimize operations, and improve decision-making across the organization. In this onsite role in Saint Petersburg, FL, you will lead the end-to-end delivery of data pipelines, ML systems, AI agents, and Retrieval-Augmented Generation (RAG) applications, with evaluation and safety guardrails.

What you’ll do

Design, build, and maintain robust data pipelines to collect, clean, and transform data from multiple sources for analysis, modeling, and operational deployments.
Develop and implement ML models and algorithms through the full life cycle, including problem framing, data collection, preparation, feature engineering, model selection, training, evaluation, deployment, retraining, and ongoing advancement.
Design and build AI agents that execute workflows inside enterprise systems such as databases, CRMs, ticketing, and knowledge bases, deployed with reliable and safety guardrails.
Build end-to-end agent orchestration including prompting, memory/state, tool-calling, retries and fallbacks, and create evaluation frameworks using test suites, simulations, and human-in-the-loop review to improve accuracy and reduce errors.
Develop RAG GPT applications by integrating enterprise knowledge sources (documents and databases) with embeddings, vector search, and prompt orchestration for grounded responses, supported by evaluation and safety guardrails.
Analyze large datasets to identify trends, patterns, and actionable insights, and create visualizations and reports for stakeholders.
Monitor and evaluate model and system performance, then make adjustments to optimize accuracy and efficiency.
Document processes, methodologies, and model development for transparency and reproducibility.
Provide training and support to other team members or departments on data tools, techniques, and best practices.
Collaborate with internal IT teams to ensure infrastructure supports stable, highly available, and well-maintained Data Science and AI applications.
Stay current with emerging technologies and industry trends to continually improve data engineering practices and contribute to cutting-edge solutions.
Ensure data accuracy, consistency, and security, implementing and enforcing data governance policies and best practices.

What you bring

5+ years of experience in data engineering, data science, or a related role, including hands-on experience building and deploying machine learning models.
A Bachelor’s degree in Computer Science, Analytics, or a related field from an accredited college or university; Master of Science preferred.
Advanced proficiency in Python and common ML/data libraries including scikit-learn, TensorFlow, Keras, PyTorch, Pandas, and NumPy.
Strong knowledge of machine learning methodologies, including supervised learning (regression, classification) and unsupervised learning (clustering, dimensionality reduction, anomaly detection).
Strong SQL skills, including designing and querying relational databases and supporting data warehousing; familiarity with ETL/ELT workflows and tools such as SSIS or equivalent.
Working knowledge of medallion architectures.
Experience with cloud-based ML development and deployment on AWS, Azure, or Google Cloud.
Proficiency with version control and collaborative workflows including Git, branching strategies, code review, and basic CI/CD concepts.
Expertise in probability and statistics, including experimental design, hypothesis testing, uncertainty modeling, performance measurement, and evaluation metric selection.
Experience building AI model-powered applications using model APIs, including prompt design, tool/function calling, structured outputs (JSON), and response validation/guardrails.
Strong understanding of RAG architectures including ingestion pipelines, chunking strategies, metadata design, embeddings, and retrieval methods.
Hands-on experience with vector databases/search systems, including tuning for relevance, latency, and cost.

Environment & physical requirements

Work involves periodic moderately physically demanding tasks, including lifting, carrying, pushing, and/or pulling moderately heavy objects and materials (up to 25 pounds), with assistance/equipment for heavier moves.
May involve climbing, stooping, kneeling, crouching, or crawling; must be able to safely operate assigned vehicles, possibly long distances.
Regularly performed inside and/or outside with potential exposure to adverse conditions such as inclement weather, atmospheric elements, and pathogenic substances.
Noise level in the work environment is usually moderate.

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Today

Software Development Engineer - AWS Cloud

Kingfisher Company Inc. Lowell, MA

Lowell, MA

Today

$70k - $90k/yr Full time Backend Developer Amazon Web Services API

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Job Description

The Software Development Engineer - AWS Cloud role will help build and support an AWS-powered platform used to process and manage emergency communications for Lowell, MA. The position also includes development and maintenance of supporting performance and programming applications across iOS and Android.

Location and Work Mode

Work location: In person
Site: Lowell, MA 01854 (Required)
Ability to commute: Lowell, MA 01854 (Required)

Compensation

Salary: USD 70,000 - 90,000 per year

Responsibilities

Define and support the design and development of AWS Cloud-based applications for intelligent emergency reporting systems and connected devices.
Implement and follow software development methodologies.
Implement and maintain software versioning and revision control.
Analyze system design trade-offs to meet defined requirements.
Own and drive end-to-end execution while maintaining schedule compliance.
Stay current on industry changes in software engineering technologies, processes, and disciplines.
Translate design specifications into system designs and implementation, and participate in design and code reviews.

Requirements

Hands-on AWS experience, including:
- AWS Lambda
- DynamoDB
- CloudWatch
- AWS IoT Core
- API Gateway
- S3 (preferred)
Experience building and maintaining serverless and event-driven architectures.
Strong proficiency in Node.js.
Solid working knowledge of JavaScript and TypeScript.
Experience designing, deploying, and supporting production AWS environments.
Familiarity with IAM, security best practices, and least-privilege access.
Experience with monitoring, logging, and troubleshooting cloud applications.
Understanding of CI/CD pipelines and automated deployments.
Education: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related field is required. A Master’s degree in related fields would be a plus.
Experience: 1+ years of software development experience in a product-oriented environment.

Technologies

AWS (including AWS Lambda, DynamoDB, CloudWatch, AWS IoT Core)
API Gateway, S3
Node.js, JavaScript, TypeScript
IAM
CI/CD pipelines
iOS app development (Swift, Xcode)
Android development (Kotlin, Java, Android Studio)
Authentication and mobile integration technologies including Cognito and AppSync
GraphQL, RESTful APIs
Infrastructure as code (CloudFormation, CDK, Terraform)
MQTT and MQTT-driven systems, MQTT-based real-time messaging
AWS IoT

Preferred / Nice-to-Have Skills

Experience with mobile application backends supporting iOS and Android clients.
Familiarity with iOS app development (Swift, Xcode) and/or Android app development (Kotlin/Java, Android Studio).
Experience integrating mobile apps with AWS services (API Gateway, Cognito, IoT, AppSync, etc.).
Knowledge of RESTful APIs and/or GraphQL.
Experience with infrastructure as code using CloudFormation, CDK, or Terraform.
Exposure to real-time messaging, MQTT, or IoT-driven systems.
Understanding of mobile authentication flows and device provisioning.
Experience working in cross-functional teams with hardware, firmware, or mobile developers.

Benefits

Competitive salary
Comprehensive benefits package
Opportunity to work on cutting-edge technology in a collaborative, small-team environment
401(k) and 401(k) matching
Dental insurance, Health insurance, Vision insurance
Life insurance
Flexible schedule
Paid time off

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Today

Lead AI Engineer

Capital One New York, NY

New York, NY

Today

$215k - $246k/yr Full time Manager AI Ai Guardrails

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Job Description

Lead AI Engineer to build and deploy responsible, scalable AI systems as part of Capital One’s Intelligent Foundations and Experiences (IFX) team.

Responsibilities

Collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associate workflows and customer experiences
Design, develop, test, deploy, and support AI software components including:
- Foundation model training
- Large language model (LLM) inference
- Similarity search
- Guardrails
- Model evaluation
- Experimentation
- Governance
- Observability
Use a mix of Open Source and SaaS AI tooling such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and related technologies
Develop and introduce LLM optimization techniques to improve production performance across scalability, cost, latency, and throughput
Help shape technical vision and the long-term roadmap for foundational AI systems at Capital One

Requirements

Education plus experience:
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with at least 4 years of experience developing AI/ML algorithms or technologies, or
- Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with at least 2 years of experience developing AI/ML algorithms or technologies
At least 4 years of programming experience with Python, Go, Scala, or Java

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
AWS, Google Cloud, Azure
Python, Go, Scala, Java
C++, C#, Golang
Large language model inference
Similarity search
Guardrails
Model evaluation
Experimentation
Governance
Observability
Foundation model training
LLM optimization
Memory

Team Description

IFX (Intelligent Foundations and Experiences) is central to bringing Capital One’s AI vision to life
Partners across the company to advance the state of the art in science and AI engineering
Builds and deploys proprietary solutions that support the business and deliver value to millions of customers
Enables teams across Capital One to enhance products with responsible, scalable AI for high-leverage impact

Ideal Candidate

Enjoys building systems and taking ownership of quality work
Interested in staying current with the latest research and translating scientific publications into production-ready solutions
Comfortable with large, undefined problems; asks questions, digs for root causes, and communicates findings clearly
Willing to propose new ideas even when they are not yet fully proven
Deeply technical with strong foundations in engineering and mathematics; can identify and pursue optimization opportunities across hardware, software, and AI
Resilient and able to create new paths to meet business goals when the route is unclear

Preferred Qualifications

6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting AI services
Experience developing AI/ML algorithms or technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques to optimize training and inference software for improved hardware utilization, latency, throughput, and cost
Passion for AI research and AI systems; applies novel techniques judiciously in production

Benefits

Performance-based incentive compensation, potentially including cash bonus(es) and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being

Location: New York, NY (onsite)

Compensation: USD 215,200 - 245,600 per year

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AWS Engineer Jobs

AI & Machine Learning Engineer

Software Development Engineer - AWS Cloud

Lead AI Engineer

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