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Today

Machine Learning Engineer - Document Digitization (LLMs)-Vice President

JPMorganChase Jersey City, NJ

Jersey City, NJ

Today

$164k - $260k/yr Full time Ai Ml Amazon Eks Artificial Intelligence

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Job Description

Senior Vice President level Machine Learning Engineer at JPMorgan Chase, focusing on designing, building, and deploying AI powered document digitization solutions with LLMs in Jersey City, NJ (onsite).

Responsibilities

Lead the design, development, and integration of AI powered document digitization solutions to extract information from diverse document types.
Oversee the end-to-end AI/ML lifecycle: training, validation, deployment, monitoring, and production grade continuous improvement.
Apply generative AI and large language models to automate and optimize document workflows.
Build and maintain scalable digitization pipelines using Python, AI frameworks, and cloud technologies.
Provision and manage cloud resources with infrastructure as code tools (Terraform) and AWS services such as SageMaker and Bedrock.
Ensure scalability, reliability, security, and governance compliance of AI/ML solutions.
Collaborate with cross functional teams to reimagine legacy document processing using generative AI and LLMs.
Develop dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.
Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.
Conduct model validation, human in the loop reviews, and implement continuous improvement strategies for digitization accuracy.
Contribute to communities of practice and explore new and emerging technologies.

Requirements

Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or a related field with relevant industry experience.
Strong proficiency in Python for building production grade AI services and data/document pipelines.
Strong working proficiency in Java, including API and microservice development with Spring Boot; familiarity with front end technologies (React.js, AngularJS) is a plus.
Hands-on experience delivering LLM powered or GenAI applications in production (document understanding, retrieval augmented generation, workflow automation) including evaluation, observability, guardrails, and continuous improvement.
Experience with MLOps / LLMOps practices in production environments (CI/CD, automated testing, deployment strategies, monitoring, incident response).
Working knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning) focused on integrating models and services into scalable systems.
Experience with AWS and cloud native delivery, including SageMaker and/or Bedrock, containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
Familiarity with NoSQL / search / graph technologies (MongoDB Atlas, Elasticsearch/OpenSearch, Neo4j) and their use in document search and knowledge retrieval.
Experience with agentic coding approaches, autonomous/assisted code agents, orchestration patterns, and tool-use/agent frameworks to accelerate digitization workflows.
Strong understanding of SDLC, CI/CD, resiliency, and security practices; proven problem solving, communication, and collaboration skills.
Demonstrated ability to accelerate development using AI technologies while maintaining engineering rigor (testing, code quality, governance).

Technologies

Python
Terraform
AWS SageMaker
AWS Bedrock
Docker
Kubernetes
Amazon EKS
Java
Spring Boot
React.js
AngularJS
TensorFlow
PyTorch
Scikit-learn
PyTorch Lightning
MongoDB Atlas
Elasticsearch/OpenSearch
Neo4j
LLMs

Benefits

Equity/stock-based compensation
Competitive base salary
Commission-based pay and/or discretionary incentive compensation
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

About JPMorganChase

JPMorganChase is a long standing financial services institution serving consumers, small businesses, and large organizations worldwide under the J.P. Morgan and Chase brands. With a history spanning more than 200 years, the firm leads in investment banking, consumer and small business banking, commercial banking, payments processing, and asset management.

About the Team

Corporate Functions teams cover a broad range of areas from finance and risk to human resources and marketing. These professional groups play a key role in enabling business success for clients, customers, and employees across the organization.

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Today

Data Scientist

Agile Defense Tampa, FL

Tampa, FL

Today

Full time Analytics Artificial Intelligence Big Data

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Job Description

Agile Defense is seeking a Data Scientist to design, develop, and deploy scalable AI-enabled data solutions for the DoD CDAO ADA IR program. The role operates within a multidisciplinary team in secure containerized environments, turning complex data into decision-ready insights for mission-critical applications.

You will collaborate across product management, software engineering, platform teams, and mission stakeholders to transform raw data into actionable analytics and decision-support tools.

Responsibilities

Support the design, development, and deployment of scalable, AI-powered data solutions within the DoD CDAO ADA IR program.
Join a multidisciplinary team that integrates advanced analytics, machine learning, and engineering practices into mission-critical environments across Combatant Commands.
Design and implement data pipelines, preprocessing workflows, feature engineering strategies, and ML services inside secure, containerized environments.
Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to convert raw data into meaningful insights and decision-support tools.

Requirements

4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, or PySpark.

Technologies

Databricks
Palantir
AWS
Python
SQL
Spark
PySpark
scikit-learn
TensorFlow
XGBoost
MLflow
Tableau
Plotly
Matplotlib
Palantir Foundry

Requisition

1590

Location

Falls Church, VA
Ft. Meade, MD
Stuttgart, Baden-Württemberg, Germany
Tampa, FL
Honolulu, HI (Camp H.M. Smith)
Colorado Springs, CO
Doral, FL
Omaha, NE
Scott Air Force Base, IL

Clearance

Top Secret with the ability to obtain an SCI. Must have clearance to start.

Education and Background

Bachelor's degree plus 3 years of recent specialized experience
Associate's degree plus 7 years of recent specialized experience
Major certification plus 7 years of recent specialized experience
11 years of recent specialized experience

Preferred Skills

Experience developing ML models from training to deployment using industry-standard tools and libraries (eg, scikit-learn, TensorFlow, XGBoost, MLflow).
Familiarity with MLOps, API development, and secure cloud-based environments (AWS, Azure, Palantir Foundry).
Strong understanding of data validation, model testing, and performance evaluation techniques.
Experience with data visualization and storytelling using Tableau, Plotly, or Matplotlib.
Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.

Working Conditions

Requires work onsite in a SCIF.

Core Values

Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

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Today

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Ai Ml Amazon Bedrock

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Job Description

Hudson Manpower is seeking a GenAI / Machine Learning AI / Data Scientist for a remote, W2-only engagement. The role targets professionals with 10+ years of hands-on experience who will focus on developing prototypes, PoCs, and MVPs using AI and GenAI capabilities.

Location

Sunnyvale, CA (remote)

Responsibilities

Ability to develop prototypes, PoCs, MVPs using one or more of the following,

Requirements

Fully remote position
H1B sponsorship is not available; all other candidates may apply
Engagements on a W2 basis only
Minimum 10 years of experience in AI/ML
Solid foundation in AI, deep learning, and machine learning principles
Proficiency in Python and tools such as Hugging Face, Langchain, and the OpenAI API
Hands-on experience with TensorFlow, Keras, and PyTorch
Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Experience with multi-modal data and intelligent agent-based tools
Self-motivated with a collaborative and innovative mindset and a passion for solving hard AI/GenAI problems

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

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Today

Lead Applied AI Engineer II

Deloitte Washington, DC

Washington, DC

Today

$119k - $244k/yr Full time Artificial Intelligence AWS Aws Bedrock

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Job Description

Deloitte is seeking a Lead Applied AI Engineer II in Washington, DC, onsite, to drive hands-on engineering across multiple high-visibility initiatives with a clear emphasis on customer outcomes and business value. The role models leadership, mentoring cross-functional teams to design, develop, and deploy advanced software solutions.

Responsibilities

Outcome driven accountability for customer and business results; develop engineering solutions that address complex problems and deliver tangible value with high quality, lean designs and implementations.
Technical leadership and advocacy for products, ensuring code integrity, feasibility, and alignment with business and customer goals; lead requirements analysis, architecture and component design, development, testing, integrations, and support.
Engineering craftsmanship with enterprise standards in mind; manage dependencies, code design, implementation quality, data, and ongoing maintenance and operations; stay hands-on, continuously learn new languages and frameworks; produce technical specifications, write maintainable code, review peers, and mentor engineers to ensure quality.
Customer centric engineering through lean, accelerated experimentation to address customer needs; engage with customers and product teams before, during, and after delivery to ensure timely and appropriate solutions.
Incremental and iterative delivery that favors action and evidence over extensive planning; navigate complexity and deliver lean, supportable, and maintainable solutions.
Cross-functional collaboration and integration with product management, experience, and delivery; synthesize diverse perspectives to balance feasibility, viability, usability, and value; foster a collaborative environment that drives innovation.
Advanced technical proficiency across modern software engineering practices, including AI and agentic SDLC; enable daily product deployments with full automation from discovery to production and operations, with quality checks through the SSDLC lifecycle; model these techniques to optimize delivery and continuous improvement.
Domain expertise with rapid acquisition of relevant knowledge; translate business needs, architectures, and UX/UI designs into technical specifications and code; contribute as a flexible, quality-focused team member.
Effective communication and influence to articulate complex technical concepts clearly; shape decisions with evidence-based trade-offs and coherent narratives aligning technical solutions with business objectives.
Engagement and collaborative co-creation with product engineering teams at all levels, including customers as needed; build constructive relationships and drive consensus to deliver feasible solutions.

Requirements

Bachelor's degree in computer science, software engineering, data science, machine learning, or a related discipline.
6+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
3+ years building AI/ML applications with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, and vector databases.
3+ years of cloud native engineering using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
1+ years establishing engineering standards, including actively leading, mentoring, and guiding team members in adoption and continuous improvement.
Prior software engineering experience with Business Context Diagrams, sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and AI augmented spec driven development.
Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (LangFuse, LangSmith, or equivalent) to deliver high quality products rapidly.

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL/NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
OpenAI
Anthropic
LangFuse
LangSmith
Azure
AWS
GCP
Azure OpenAI
AWS Bedrock
Vertex AI
FaaS
PaaS
MLflow
ADO
GitHub
SonarQube

The Successful Candidate Will Possess

Excellent interpersonal and organizational skills, with the ability to manage diverse situations, complex projects, and shifting priorities, demonstrated with empathy and professional courtesy.

Other Information

Travel: Ability to travel approximately 10 percent, depending on project and workload.
Immigration sponsorship: Limited sponsorship may be available.
Compensation note: The salary range reflects a broad set of factors, including skills, experience, training, and certifications, and has not been adjusted for geographic location.
Incentive program: Eligibility may exist for a discretionary annual incentive program, subject to program rules and individual and organizational performance.

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1d ago

AWS AI Engineer

Hudson Manpower San Jose, CA 🇺🇸 Remote

San Jose, CA

1d ago

Full time AI Ai Workflows Artificial Intelligence

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Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to lead the hands-on development of AI and ML applications within AWS, with a focus on retrieval-augmented generation, fine-tuning LLMs, and enterprise-grade microservices for automation and governance.

Responsibilities

Hands-on practitioner leveraging AWS core services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Owns the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Develops LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Builds cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborates with internal stakeholders to translate business goals into secure, scalable AI systems.
Owns the software release lifecycle, including CI/CD pipelines, GitHub based SDLC, and infrastructure as code with Terraform.
Supports the development and evolution of reusable platform components for AI/ML operations.
Creates and maintains technical documentation for the team and internal customers.
Excellent verbal and written communication in English.

Requirements

Minimum seven years of hands-on software engineering experience with strong Python expertise.
Proficiency with AWS services, notably Bedrock and SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails such as SCPs and AWS Config.
Strong background in RAG architectures and LangChain.
Proven infrastructure as code practices and Terraform module development for AWS.
Solid Git-based version control, code reviews, and DevOps workflows.
Track record of delivering production-ready software with integrated release pipelines.

Technologies

Python
Bedrock
SageMaker
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
GitHub
Hugging Face
Node.js
Golang
AWS
SCP
AWS Config

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance offering
Eligible for referral bonuses

Supervisory Responsibilities

None

Nice-to-Haves

AWS or relevant cloud certifications
Policy as Code development experience such as Terraform Sentinel
Experience with Hugging Face, Golang, or Node.js
Exposure to FinOps and cloud cost optimization
Data science background or experience with structured and unstructured data
Awareness of data privacy and compliance best practices including PII handling and secure model deployment

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1d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Sacramento, CA 🇺🇸 Remote

Sacramento, CA

1d ago

Full time AI Ai Ml Amazon Bedrock

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Job Description

Senior GenAI Engineer / ML AI/Data Scientist role with 100% remote work and 10+ years of experience.

Responsibilities

Develop prototypes, PoCs, and MVPs for GenAI initiatives using Python and modern AI/ML tools, emphasizing multi-modal data and rapid validation of concepts.

Requirements

Location: Sacramento, CA (remote; 100% remote)
No H1B candidates: all other applicants may apply
Work status: Only W2 candidates
Experience: 10+ years
Technical proficiency: Python and tools including Hugging Face, Langchain, and OpenAI API
ML frameworks: TensorFlow, Keras, PyTorch
Platform familiarity: Google Model Garden, Amazon Bedrock, Nvidia Nim
Data and tooling: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative; passionate about solving hard AI and GenAI problems

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2d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Malvern, PA 🇺🇸 Remote

Malvern, PA

2d ago

Full time AI Ai Ml Amazon Bedrock

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Job Description

Hudson Manpower seeks a GenAI Engineer / ML AI / Data Scientist for a remote-capable role based in Malvern, PA. The position requires 10 or more years of hands-on experience in artificial intelligence, deep learning, and data science.

Requirements

Remote work: 100% remote
Eligibility: No H1B candidates; rest may apply
Employment type: Only W2 candidates
Experience: 10+ years
AI/ML knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming: Expertise in Python and tools such as Hugging Face, Langchain, and the OpenAI API
Deep learning frameworks: Experience with TensorFlow, Keras, and PyTorch
Cloud platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-modal data and AI tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative, with a passion for solving hard problems using AI and GenAI