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ai enablement engineer

Perry Homes

<div>
 
 About The Role
 
 
 
 The AI Enablement Engineer serves as a force multiplier for the Software Development organization and, over time, IT as a whole. Using discretion and independent judgment, this engineer builds AI development frameworks, infrastructure-as-code practices, and CI/CD pipelines that make the development team faster and more consistent&mdash;then extends that capability into internal AI-powered tools and workflows for business stakeholders
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build and maintain Cursor workspace configurations, rules files, prompt templates, and context pipelines for the team's .NET and React/JS codebases.
 </li>
 <li>
 Create structured LLM workflows (Claude, Gemini) for BSAs to generate PRDs, ERDs, and API contracts that feed directly into Cursor as development context
 </li>
 <li>
 Design and implement IaC frameworks (Terraform, Pulumi, or OpenTofu) to manage Azure App Services, Azure SQL, Azure Functions, and supporting infrastructure.
 </li>
 <li>
 Improve CI/CD pipelines (Azure DevOps or GitHub Actions) with automated testing, quality gates, security scanning, and zero-downtime deployment patterns.
 </li>
 <li>
 Build environment provisioning automation for dev, staging, and production without manual Azure portal configuration.
 </li>
 <li>
 Support Microsoft Fabric data platform through IaC patterns, CI/CD for data pipelines, and developer environment connectivity.
 </li>
 <li>
 Conduct hands-on developer training and monthly AI office hours on Cursor usage, prompt patterns, and AI-assisted workflows.
 </li>
 <li>
 Define and instrument AI adoption metrics: Cursor usage rates, AI-assisted PRD completion, pipeline health, and context quality scores
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, Software Engineering, IT, or related field. Equivalent experience considered.
 </li>
 <li>
 5+ years in software engineering, DevOps, or platform engineering.
 </li>
 <li>
 Hands-on experience with open-source IaC tools (Terraform, Pulumi, or OpenTofu) managing Azure resources
 </li>
 <li>
 Strong CI/CD pipeline experience in Azure DevOps or GitHub Actions with automated testing, quality gates, and deployment automation.
 </li>
 <li>
 Power-user experience with AI-assisted dev tools (Cursor, GitHub Copilot, or equivalent) with team-level enablement beyond personal use.
 </li>
 <li>
 Strong communication skills with ability to create technical documentation and training materials.
 </li>
 <li>
 Experience with scripting and automation (PowerShell, Bash, Python, or similar).
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why You Will Love Working Here
 
 
 
 <ul>
 <li>
 Competitive compensation and benefits package:
 </li>
 <li>
 Medical, dental, vision coverage
 </li>
 <li>
 Financial Planning
 </li>
 <li>
 Time Off &amp; Life Balance
 </li>
 <li>
 Family &amp; Lifestyle
 </li>
 <li>
 Opportunities for growth and development
 </li>
 <li>
 Culture that is collaborative, inclusive, fast-paced, people-first
 </li>
 <li>
 Stable company with strong reputation in the market
 
 
 
 </li>
 </ul>
 
 Why Join Perry Homes?
 
 
 
 At Perry Homes, we're committed to integrity, excellence, and service&mdash;values that guide every customer interaction. Join a team where your work directly contributes to an exceptional homebuying experience and a trusted brand. We're committed to creating an inclusive workplace where people can do their best work.
 
 
 <ul>
 <li>
 Note to job seekers: Your resume will be reviewed as the best qualified candidates will be contacted in the event that there is potential match***
 
 
 </li>
 </ul>
 
 Perry Homes is an Equal Opportunity Employer
 
 
 
 
 Disclaimer:
 
 
 Recruitment Fraud
 
 - Any communication regarding job opportunities from our organization will be initiated through official channels only, including our company email domain, @perryhomes.com and verified social media accounts. We advise candidates to exercise caution and refrain from sharing personal or sensitive information with any party claiming to represent our company outside of these channels. We do not at any early stage of recruitment process solicit personal information (e.g., passport and bank account info), financial details, or any form of payment (e.g., application fee). If you receive suspicious communications, encounter job postings that appear fraudulent, or want to confirm any employment postings, please contact hrinfo@perryhomes.com.
</div>

AI Enablement Engineer

Fragomen

<div>Job Description
The Treasury Manager will play a critical role in modernizing and scaling our Treasury and Financial Planning &amp; Analysis (FP&amp;A) capabilities. This role blends core treasury leadership with finance transformation and strategic planning responsibilities.
As we implement a new ERP system and redesign key finance processes, this leader will help engineer scalable treasury operations, enhance cash visibility and forecasting accuracy, document and standardize processes, and drive meaningful improvements in the company&rsquo;s planning and budgeting framework.
This position requires a hands-on leader who can operate effectively in both execution and design - managing day-to-day treasury functions while building future-ready systems, processes, and analytical capabilities.
Key Responsibilities
Treasury Leadership &amp; Operations
<ul><li>Lead global cash management operations, including liquidity planning, cash positioning, and banking relationships.
</li><li>Develop and enhance short-term and long-term cash flow forecasting models, improving forecast accuracy and visibility.
</li><li>Optimize working capital through improved forecasting, reporting, and cross-functional collaboration.
</li><li>Manage debt, credit facilities, intercompany funding, and treasury compliance activities.
</li><li>Strengthen internal controls and governance across treasury processes.
</li></ul>Treasury Transformation &amp; ERP Enablement
<ul><li>Serve as treasury lead for ERP implementation, ensuring treasury requirements are properly designed, tested, and deployed.
</li><li>Redesign and document treasury processes to align with future-state ERP capabilities and automation opportunities.
</li><li>Partner with Finance Excellence, IT, and external vendors to engineer scalable, efficient workflows and reporting solutions.
</li><li>Identify opportunities to automate manual processes and enhance system integrations (e.g., banking platforms, forecasting tools).
</li><li>Develop training materials and support change management efforts across impacted teams.
</li></ul>FP&amp;A &amp; Strategic Finance Partnership
<ul><li>Partner with FP&amp;A leadership to optimize the annual budgeting and rolling forecast processes.
</li><li>Improve forecasting methodologies by integrating cash flow planning, scenario modeling, and operational drivers.
</li><li>Deliver actionable insights on liquidity, capital allocation, and financial performance to senior leadership.
</li><li>Support long-range planning by modeling capital structure scenarios and funding strategies.
</li><li>Develop executive-ready reporting and dashboards that connect treasury metrics with broader financial performance.
</li></ul>Qualifications
<ul><li>Bachelor&rsquo;s degree in Finance, Accounting, Economics, or related field; MBA or CPA/CFA preferred.
</li><li>8&ndash;12+ years of progressive experience in Treasury, FP&amp;A, or Corporate Finance roles.
</li><li>Direct experience with cash forecasting, liquidity management, and banking operations.
</li><li>Experience supporting or leading ERP implementations or major finance system transformations.
</li><li>Strong financial modeling and analytical capabilities.
</li><li>Demonstrated ability to build, document, and improve finance processes.
</li><li>Experience working cross-functionally with Accounting, IT, Operations, and senior leadership.
</li><li>Strong communication skills with the ability to translate complex financial data into actionable insights.
</li><li>High level of ownership, adaptability, and comfort operating in evolving environments.
</li><li>Proven ability to adapt, learn, and thrive through cross-functional rotations and continuous skill development.
</li></ul>Success in this Role Looks Like
<ul><li>Improved cash visibility and forecasting accuracy across short- and long-term horizons.
</li><li>Seamless integration of treasury processes into the new ERP environment with enhanced controls and automation.
</li><li>Standardized, well-documented treasury processes that reduce key-person dependency and operational risk.
</li><li>More efficient, data-driven budgeting and forecasting processes.
</li><li>Clear, actionable insights provided to leadership that influence liquidity strategy and capital allocation decisions.
</li><li>Strong cross-functional alignment between Treasury, Accounting, FP&amp;A, and IT.
</li></ul>All offers and/or employment contracts are contingent upon the successful completion of the Firm&rsquo;s pre-employment screening process. This process may include verifying the candidate&rsquo;s identity, confirming legal authorization to work in the offered position&rsquo;s location, and conducting a comprehensive background check, where permitted by local regulations. We use limited AI‑assisted tools for administrative screening purposes only - never for decision‑making. All hiring decisions are made by people. Applicants may have rights to information and explanations regarding the use of such tools, or request human review, as required by applicable regional laws.</div>

Treasury Manager

Bot Auto

<div>
 
 Company Introduction
 
 
 
 At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
 
 
 
 About The Role
 
 
 
 We are seeking a highly motivated
 
 Software Engineer Intern
 
 to join our AI Agents team. This team explores, prototypes, and productionizes cutting-edge AI agent technologies to accelerate productivity, automate workflows, and enhance knowledge sharing across the organization. You will work on building and improving AI-powered agents that support a wide range of functions, including software development, fleet operations, and business processes. This is a unique opportunity to experiment with the latest advancements in large language models (LLMs), agent frameworks, and autonomous workflows, while delivering practical impact in a real-world environment.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, build, and iterate on AI agents that automate engineering, operational, and business workflows
 </li>
 <li>
 Develop integrations between LLMs and internal systems, tools, and data sources
 </li>
 <li>
 Implement agent workflows involving planning, tool usage, memory, and multi-step reasoning
 </li>
 <li>
 Experiment with prompt engineering, evaluation techniques, and model optimization strategies
 </li>
 <li>
 Build backend services and APIs to support scalable deployment of AI agents
 </li>
 <li>
 Collaborate with engineers and cross-functional teams to identify high-impact automation opportunities
 </li>
 <li>
 Evaluate and benchmark emerging AI agent frameworks, models, and tools
 </li>
 <li>
 Contribute to internal platforms that enable rapid development and deployment of AI-powered solutions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field
 </li>
 <li>
 Strong programming skills in Python (preferred) or other languages such as Go, Java, or JavaScript/TypeScript
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software engineering fundamentals
 </li>
 <li>
 Familiarity with machine learning or large language models (through coursework, projects, or internships)
 </li>
 <li>
 Strong curiosity about AI systems and eagerness to explore new technologies
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Hands-on experience with LLM APIs (e.g., OpenAI, open-source models) or agent frameworks (LangChain, AutoGen, etc.)
 </li>
 <li>
 Experience building backend systems, APIs, or distributed systems
 </li>
 <li>
 Familiarity with prompt engineering, RAG (retrieval-augmented generation), or vector databases
 </li>
 <li>
 Exposure to evaluation methods for AI systems (benchmarks, metrics, human-in-the-loop feedback)
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP, Azure) or containerization (Docker, Kubernetes)
 </li>
 <li>
 Interest in applying AI to real-world problems such as automation, productivity, and decision-making
 </li>
 </ul>
</div>

Intern, Software Engineer-AI Agents

Tyndale Company, Inc.

<div>
 The Tyndale Company is seeking a
 
 Machine Learning Engineer
 
 to join our growing AI organization. This role will play a critical part in our mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, data engineers and business stakeholders to own the full lifecycle of our ML models and Generative AI applications. This is an exciting opportunity to shape the foundation of our AI and Machine Learning efforts, driving impactful insights and innovations.
 
 
 
 HYBRID/REMOTE:
 
 Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely.
 
 To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).
 
 
 
 The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector &ndash; including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We&rsquo;re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We&rsquo;re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the Full Lifecyle: Own the full lifecycle of classical ML and GenAI features from prototypes to production. This includes rapid POCs, automated tests, containerisation, and production deployment through our AWS pipeline.
 </li>
 <li>
 RAG &amp; LLM work: Build retrieval-augmented generation services using vector stores (OpenSearch, Pinecone, PGVector, etc.), prompt-orchestration frameworks (LangChain / LlamaIndex), and fine-tuning or supervised-RL when off-the-shelf LLMs fall short.
 </li>
 <li>
 Create and maintain inference APIs: Design, implement, and document REST / GraphQL / SSE endpoints (FastAPI or AWS Lambda) so other teams and external partners can consume models with zero guess-work.
 </li>
 <li>
 Infrastructure-as-Code: Write and maintain Terraform / AWS CDK modules that one-click deploy training jobs, inference services, monitoring, and alerting.
 </li>
 <li>
 Feature engineering &amp; inference services: Design reusable feature pipelines in PySpark / Pandas on top of the lakehouse; expose real-time inference via FastAPI or AWS Lambda.
 </li>
 <li>
 Evaluation &amp; guardrails: Define offline and online evaluation matrices, set up hallucination/bias checks, and wire metrics into Grafana/DataDog.
 </li>
 <li>
 Cross-functional collaboration: Pair with the Senior Data Scientist on modelling strategy, the Data Engineer on schema evolution, and our CloudOps team on infrastructure tweaks&mdash;then demo real impact to business stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 </li>
 <li>
 Minimum of 4 years in ML Engineering, with at least 1 year building LLM or generative AI products in production.
 </li>
 <li>
 Pro-level Python; hands-on with PyTorch or TensorFlow/Keras; comfortable writing optimized SQL code.
 </li>
 <li>
 Familiar with LangChain/LlamaIndex, vector databases, and prompt-engineering strategies.
 </li>
 <li>
 Production experience on AWS (SageMaker, Bedrock, Lambda, Step Functions, ECS/EKS).
 </li>
 <li>
 Infrastructure-as-Code &ndash; hands-on with Terraform to codify everything: training pipelines, SageMaker endpoints, Lambda/Fargate deploys, monitoring alerts.
 </li>
 <li>
 API design &amp; implementation &ndash; proven experience exposing ML models through FastAPI, Flask, or equivalent REST/GraphQL/SSE frameworks, including auth, versioning, and OpenAPI docs.
 </li>
 <li>
 Solid software-engineering habits&mdash;CI/CD (GitHub Actions), code reviews, unit/integration testing.
 </li>
 <li>
 Ability to translate model metrics into plain-English business value.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Health &amp; Wellness : Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
 </li>
 <li>
 Work-Life Balance : Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
 </li>
 <li>
 Financial Compensation : Competitive salary, 401(k) with matching, and bonus opportunities.
 </li>
 <li>
 Career Growth &amp; Development : Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
 </li>
 <li>
 Culture &amp; Perks : Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.
 </li>
 </ul>
</div>

Machine Learning Engineer

<div>Senior Associate, Business Technology Liaison

At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We&rsquo;re seeking a future team member for the role of Senior Associate, Business Technology Liaison to join our Loans Enablement Operations team. This role is located in Houston, TX.

In this role, you&rsquo;ll make an impact in the following ways:
<ul>
<li>Analyze and define business requirements and functional or operational specifications for small to moderate sized projects of limited complexity.</li>
<li>Formulate and define system scope and objectives, interfacing with all areas of IT on behalf of the business to resolve IT matters and improve business processes.</li>
<li>Collect and translate business or functional requirements into functional design, test planning, and user documentation processes.</li>
<li>Support testing and training efforts for new or enhanced applications and systems, while identifying areas for improvement and collaborating with technology teams to enhance business applications.</li>
</ul>
To be successful in this role, we&rsquo;re seeking the following:
<ul>
<li>Bachelor&rsquo;s degree or the equivalent combination of education and experience.</li>
<li>3-5 years of total work experience preferred.</li>
<li>Technical experience preferred.</li>
<li>Ability to use general knowledge of regulatory and legal requirements and BNY Mellon corporate policies involving risk and control to support improved business processes through technology.</li>
<li>No direct reports; may provide guidance to less experienced colleagues.</li>
</ul>
At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here&rsquo;s a few of our recent awards:
<ul>
<li>America&rsquo;s Most Innovative Companies, Fortune, 2025</li>
<li>World&rsquo;s Most Admired Companies, Fortune 2025</li>
<li>&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025</li>
</ul>
Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.</div>

Senior Associate, Business Technology Liaison

Persona AI

<div>Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona&rsquo;s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
Our Teleoperation Team bridges the gap between human intelligence and machine body &mdash; and the quality of that bridge is determined by data: how fast it moves, how reliably it arrives, and how accurately it represents what the robot is actually experiencing.
As our Real-Time Systems &amp; Robotics Integration Engineer, you own the machine side. You'll build the data transport infrastructure, hardware integration layers, and fleet monitoring systems that make real-time human-robot operation possible over imperfect, real-world networks. Latency isn't just a number to you &mdash; you understand that every added millisecond costs operator trust.
What You&rsquo;ll Build<ul><li>Low-latency, fault-tolerant data streaming pipelines over unreliable real-world transports &mdash; WiFi, cellular, and everything messy in between</li><li>Software that interfaces directly with hardware SDKs for robot sensing and control</li><li>Real-time pipelines integrating motion capture and hardware prototypes for human demonstration and training data capture</li><li>Monitoring, metrics, and alerting infrastructure that scales with a growing robot fleet</li><li>Web APIs and backend services for data collection, remote operation, and operational analytics</li><li>Embedded Linux software at the firmware boundary &mdash; going as deep into the stack as the latency problem requires</li></ul>
What We&rsquo;re Looking For<ul><li>5+ years in software engineering with a strong focus on systems, embedded, or robotics work</li><li>Strong Rust / C++ and solid Python for tooling, harnesses, and performance-critical systems code</li><li>Deep Linux experience, including embedded and firmware-level environments</li><li>Good networking fundamentals: TCP/IP, WiFi, cellular, BLE &mdash; and the debugging instincts to go with them</li><li>Familiarity with robotic control concepts: kinematics, 3D geometry, sensor integration</li><li>Solid open source chops: navigating complex dependencies, modifying codebases, contributing upstream</li><li>Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field</li><li>Strong ownership and communication skills; comfortable working at the hardware/software boundary</li></ul> 
Bonus Points<ul><li>Prior experience with Zenoh or comparable robotics middleware</li><li>Experience building telemetry or observability systems for physical hardware fleets</li><li>Familiarity with modern build systems like Nix or Bazel</li><li>Prior open source contributions, especially in systems or robotics tooling</li><li>Experience with motion capture systems or wearable sensor integration</li></ul> 
Why This Role
The hardest part of human-robot teleoperation isn't the robot or the interface &mdash; it's the invisible infrastructure that connects them. You'll own that layer end-to-end, with full access to the hardware stack and a tight partnership with the rendering engineer on the other side of the seam. The problems here are novel, the constraints are real, and the impact is direct.
Why join Persona AI?<ul><li>
You'll shape technology that's redefining the possibilities of robotics and human interaction.</li><li>
Work alongside passionate teammates who value diversity, creativity, and continuous learning.</li><li>
Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.</li><li>
We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.</li></ul><h3 class="jobSectionHeader">
Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.</h3></div>

Senior Systems & Robotics Engineer (Teleoperation)

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

Explore 79+ Ai enablement engineer in Houston this April. Find roles across top companies and apply now to boost your career.