applied ai engineer

Social Discovery Group

<div>(https://socialdiscoverygroup.com/about-us/) (https://socialdiscoverygroup.com/about-us)
Social Discovery Group (https://socialdiscoverygroup.com/about-us) (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. We solve the problems of loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. Our portfolio includes online communication platforms focusing on AI, game mechanics, and video streaming - Dating.com, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others.
SDG invests in IT startups around the world. Our investments include Open AI, Patreon, Flo, Clubhouse, Woebot, Flure, Astry, Coursera, Academia.edu, and many others.
We bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products. Our international team of 1200 professionals and digital nomads works all over the world.
Our teams of digital nomads work remotely from Cyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations.
In August 2024, we achieved Great Place to Work US Certification&trade;! This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie&mdash;not just great perks.
We are looking for a Applied AI Engineer who wants to build real AI systems used by hundreds of thousands of users.
This is not a research-only role. You will work on shipping AI capabilities to production, building systems around LLMs, generative models, and multimodal AI, and turning cutting-edge AI technology into real product functionality.
We're looking for someone who enjoys solving hard engineering problems, experimenting with modern AI systems, and quickly turning ideas into working features.
If you like working close to the product, moving fast, and seeing your AI systems used by real users at scale, this role is for you.
 Your main tasks will be:
<ul><li>Build and ship AI-powered product features using LLMs and generative models</li><li>
Develop and maintain services and APIs around ML models</li>
<li>Work with prompt engineering and model behavior tuning
</li><li>Integrate AI models into production systems and user-facing applications
</li><li>Work with multimodal systems (text and image generation)
</li><li>Improve AI quality, safety, and reliability in production
</li><li>Collaborate closely with engineering, product, and design teams
</li><li>Run experiments and iterate quickly based on real user feedback and metrics
</li><li>Optimize performance, latency, and scalability of AI systems</li></ul>
We expect from you:
<ul><li>Strong Python development skills 
</li><li>Experience working with LLMs or generative AI systems in production 
</li><li>Experience building APIs, services, or infrastructure around ML models 
</li><li>Solid understanding of machine learning fundamentals 
</li><li>Experience integrating AI into real products, not just experiments 
</li><li>Familiarity with fine-tuning approaches (LoRA / SFT) is a plus 
</li><li>Experience with multimodal or diffusion models is a plus 
</li><li>Ability to take end-to-end ownership of solutions 
</li><li>Strong problem-solving skills and ability to operate in a fast-paced environment 
</li><li>Ability to communicate effectively with both engineers and product teams 
</li></ul>What do we offer: 
<ul><li>REMOTE OPPORTUNITY to work full time;</li><li>
Vacation 28 calendar days per year;</li><li>
7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;</li><li>
Bonuses up to $5000 for recommending successful applicants for positions in the company;</li><li>
50% payment for professional training, international conferences and meetings;</li><li>
Corporate discount for English lessons;</li><li>
Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor's fees for yourself and close relatives (spouse, children);</li><li>
Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;</li><li>
Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.</li></ul>
Sounds good? Join us now!</div>

Applied AI Engineer

Fortinet

<div>We&rsquo;re a cybersecurity company building a next-generation AI-driven operations platform, designed to power complex, high-stakes workflows. The product integrates generative AI deeply into real-time operational environments&mdash;combining reasoning, retrieval, and automation into scalable, trustworthy systems.
We&rsquo;re looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You&rsquo;ll work closely with product, AI/ML, and design teams to deliver capabilities that drive investigation speed, streamline operations, and unlock new modes of human-AI collaboration.
KEY RESPONSIBILITIES
 Development
<ul><li>Architect and implement scalable AI agent and backend systems for high-volume, real-time operational workloads.
</li><li>Integrate LLMs and GenAI components into production workflows, including fine-tuning, prompt orchestration, retrieval pipelines, and evaluation loops.
</li><li>Design and implement robust data flows (e.g., event streams, message queues, job orchestration) to support next-gen SOC/NOC capabilities.
</li><li>Define clear contracts between AI services, backend APIs, and frontend clients.
</li><li>Contribute to trustworthy AI delivery: streaming responses with structured outputs, redaction/guardrails, and human-in-the-loop review.
</li></ul>Collaboration
<ul><li>Partner with backend team to build data pipeline.
</li><li>Collaborate with design and frontend engineers to translate complex backend/AI systems into intuitive UIs.
</li><li>Lead technical reviews, and help shape coding standards and architectural patterns.
</li><li>Communicate clearly with both technical and non-technical stakeholders about trade-offs, performance, and reliability.
</li></ul>REQUIRED QUALIFICATIONS
 Experience
 <ul><li>Proven track record shipping data-intensive and AI-enhanced applications.
</li></ul>Technical Skills
Core Backend &amp; Platform
<ul><li>Proficiency with at least one modern backend runtime/language (e.g., Python, Go) and associated frameworks.
</li><li>Strong background in designing APIs (REST/WebSocket/GraphQL) and integrating with real-time/event-driven systems.
</li><li>Deep understanding of databases and storage paradigms (e.g., Postgres, graph DBs, time-series stores).
</li><li>Experience with authentication/authorization, session management, and enterprise integrations.
</li><li>Familiarity with distributed systems, scalability, and observability best practices.
</li></ul>AI/ML Integration
<ul><li>Hands-on experience building or integrating AI systems in production.
</li><li>Familiarity with multi-agent, retrieval-augmented generation (RAG), prompt engineering, evaluation, and guardrails.
</li><li>Exposure to model fine-tuning workflows or orchestration frameworks for multi-tool AI agents.
</li></ul>Communication &amp; Soft Skills
<ul><li>Strong problem-solving skills and attention to detail.
</li><li>Excellent written and verbal communication.
</li><li>Comfortable operating in fast-moving, ambiguous contexts.
</li><li>Experience working with distributed teams.
</li></ul>WHAT WE OFFER
<ul><li>Opportunity to shape the future of AI-assisted cybersecurity and operations at scale.
</li><li>End-to-end ownership of high-impact product surfaces used daily by enterprise customers.
</li><li>Collaborative environment with experienced engineers, researchers, and designers.
</li><li>Continuous learning in AI/ML, distributed systems, and modern web technologies.
</li><li>Terrific benefits and competitive compensation.
</li></ul>The US Hourly Pay Range for this temporary position (Summer Internship) is $35-45 USD. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.
Why Join Us:
 
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.</div>

Applied AI Engineer (Internship)

almentor

<div>
 
 
 About almentor
 
 : almentor is a cutting-edge online video marketplace for e-learning and professional business development throughout the Middle East and Africa. Offering video courses in Arabic and English, we curate top-rated training programs of expert-created content and guided curriculum with interactive delivery.
 
 
 
 
 
 
 Our Mission:
 
 🚀 almentor is on a mission to increase accessibility to affordable quality education for Arabic-speaking communities and a Goal to serve 10 million learners in MENA
 
 
 
 
 
 
 Job Overview:
 
 
 
 Reporting to the Head of Engineering, your role is to design, build, and operate the data and applied AI foundations that power intelligent learning experiences and business workflows. You will ship production- grade pipelines, retrieval/search systems, and LLM-enabled features that are measurable, secure, and reliable.
 
 
 
 
 
 We are committed to building software that is not only functional and reliable, but also beautiful and intuitive. Our engineers and designers work together to create products that are a joy to use, and that solve real-world problems in innovative ways. We believe in the Agile and XP methodologies, and we prioritize collaboration, communication, and continuous improvement in everything we do.
 
 
 
 
 
 We are embarking on an exciting journey of rebuilding our product and engineering organization to drive innovation and growth. Our goal is to create a world-class platform that delivers the best possible learning experiences to our users.
 
 
 Share the journey along with engineers, product managers, and leaders from the most successful organizations in the region.
 
 
 
 
 
 
 As a Senior Data / AI Engineer, your'll spend your time on:
 
 
 <ul>
 <li>
 Blending data engineering, applied AI implementation, and operational ownership.
 </li>
 <li>
 Architect, implement, and maintain pipelines that ingest, transform, and serve data for product features, analytics, and AI workflows.
 </li>
 <li>
 Build indexing and retrieval layers (structured + unstructured) to power search, recommendations, and AI assistants (RAG).
 </li>
 <li>
 Implement LLM-powered features: prompt orchestration, tool/function calling, RAG patterns, structured extraction, summarization.
 </li>
 <li>
 Add guardrails: policy checks, rate limits, cost controls, and safe handling of sensitive data.
 </li>
 <li>
 Create evaluation harnesses and regression tests for retrieval of quality and AI outputs (offline datasets + automated checks).
 </li>
 <li>
 Instrument pipelines/services with logging, tracing, metrics, and data quality monitoring.
 </li>
 <li>
 Partner closely with product managers, designers, and engineers to translate user needs into measurable data/AI capabilities.
 </li>
 <li>
 Participate in sprint planning, refinement, and cross-team alignment to keep execution predictable.
 </li>
 <li>
 Own your pipelines and services in production &mdash; incident response, post-mortems, runbooks, and continuous improvement.
 </li>
 <li>
 Optimize latency, cost, and throughput across data processing, indexing, and AI inference usage.
 </li>
 <li>
 A typical day might look like: checking pipeline freshness and alerts in the morning, tuning chunking/index mappings for a new course search mid-day, pairing with product on evaluation metrics for an AI study
 </li>
 <li>
 Assistant in the afternoon, and ending the day by shipping a monitored RAG endpoint with cost budgets and regression tests.
 </li>
 </ul>
 
 
 Role Objectives
 
 
 <ul>
 <li>
 Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.
 </li>
 <li>
 Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.
 </li>
 <li>
 Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.
 </li>
 <li>
 Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.
 </li>
 <li>
 Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.
 </li>
 <li>
 Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.
 </li>
 <li>
 Contributing to sprint planning, technical documentation, and cross-team initiatives as a senior voice in the engineering org.
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate will have:
 
 
 <ul>
 <li>
 4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.
 </li>
 <li>
 Strong SQL and data modeling skills; experience designing schemas and data contracts.
 </li>
 <li>
 Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.
 </li>
 <li>
 Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).
 </li>
 <li>
 Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) &mdash; no deep ML required.
 </li>
 <li>
 Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).
 </li>
 <li>
 Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field is preferred but not required
 </li>
 </ul>
</div>

Senior Data & Applied AI Engineer

Almentor

<div>About almentor: almentor is a cutting-edge online video marketplace for e-learning and professional business development throughout the Middle East and Africa. Offering video courses in Arabic and English, we curate top-rated training programs of expert-created content and guided curriculum with interactive delivery.
Our Mission: almentor is on a mission to increase accessibility to affordable quality education for Arabic-speaking communities and a Goal to serve 10 million learners in MENA
Job Overview:
Reporting to the Head of Engineering, your role is to design, build, and operate the data and applied AI foundations that power intelligent learning experiences and business workflows. You will ship production- grade pipelines, retrieval/search systems, and LLM-enabled features that are measurable, secure, and reliable.
We are committed to building software that is not only functional and reliable, but also beautiful and intuitive. Our engineers and designers work together to create products that are a joy to use, and that solve real-world problems in innovative ways. We believe in the Agile and XP methodologies, and we prioritize collaboration, communication, and continuous improvement in everything we do.
We are embarking on an exciting journey of rebuilding our product and engineering organization to drive innovation and growth. Our goal is to create a world-class platform that delivers the best possible learning experiences to our users.
Share the journey along with engineers, product managers, and leaders from the most successful organizations in the region.
As a Senior Data / AI Engineer, You will: 
<ul><li>As a Senior Data / AI Engineer, your days will blend data engineering, applied AI implementation, and operational ownership. You'll spend your time on: 
</li><li>
 Architect, implement, and maintain pipelines that ingest, transform, and serve data for product features, analytics, and AI workflows.</li><li>
Build indexing and retrieval layers (structured + unstructured) to power search, recommendations, and AI assistants (RAG). 
</li><li>
Implement LLM-powered features: prompt orchestration, tool/function calling, RAG patterns, structured extraction, summarization.</li><li>
Add guardrails: policy checks, rate limits, cost controls, and safe handling of sensitive data. Quality, Evaluation, and Observability.</li><li>
Create evaluation harnesses and regression tests for retrieval of quality and AI outputs (offline datasets + automated checks).</li><li>
Instrument pipelines/services with logging, tracing, metrics, and data quality monitoring. 
</li><li>
Partner closely with product managers, designers, and engineers to translate user needs into measurable data/AI capabilities.</li><li>
Participate in sprint planning, refinement, and cross-team alignment to keep execution predictable.</li><li>
Own your pipelines and services in production &mdash; incident response, post-mortems, runbooks, and continuous improvement.</li><li>
Optimize latency, cost, and throughput across data processing, indexing, and AI inference usage.</li><li>
A typical day might look like: checking pipeline freshness and alerts in the morning, tuning chunking/index mappings for a new course search mid-day, pairing with product on evaluation metrics for an AI study Assistant in the afternoon, and ending the day by shipping a monitored RAG endpoint with cost budgets and regression tests.</li></ul>
Role Objectives
<ul><li>Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.</li><li>
Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.</li><li>
Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.</li><li>
Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.</li><li>
Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.</li><li>
Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.</li><li>
Contributing to sprint planning, technical documentation, and cross-team initiatives as a senior voice in the engineering org</li></ul>
The ideal candidate will have:
<ul><li>4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.</li><li>
Strong SQL and data modeling skills; experience designing schemas and data contracts.</li><li>
Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.</li><li>
Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).</li><li>
Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) &mdash; no deep ML required.</li><li>
Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).</li><li> 
Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.</li><li> 
Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.</li><li>
Bachelor's degree in computer science, Engineering, or a related field is preferred but not required</li></ul></div>

Kenai Defense

Applied AI Data EngineerWe are a small, mission-focused U.S. defense contractor building advanced analytical capabilities that combine AI, automation, and data-driven decision support. This role is for an Applied AI Data Engineer who can turn ambiguous questions into defensible data assets, modeling workflows, and repeatable evaluation methods. You will work closely with leadership and staff to help translate research-grade ideas into reliable capabilities.Responsibilities<ul><li>Design and build data pipelines that ingest, clean, normalize, and structure heterogeneous data for downstream modeling and analytical workflows.</li><li>Develop reusable datasets, features, labels, and representations from both structured and unstructured sources.</li><li>Create and refine methods for segmentation, cohorting, calibration, and scenario-based model evaluation.</li><li>Apply machine learning, NLP, retrieval, embeddings, and related methods to extract signal from noisy real-world data.</li><li>Design benchmarks and validation procedures that measure accuracy, stability, uncertainty, bias, and performance across cohorts and scenarios.</li><li>Prototype simulation-oriented or predictive modeling approaches and iterate based on quantitative results and error analysis.</li><li>Document assumptions, experiment design, data lineage, and model limitations clearly for technical and non-technical stakeholders.</li><li>Operationalize research and modeling outputs into secure, maintainable internal tools.</li></ul>Core Qualifications<ul><li>U.S. citizenship required.</li><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in computer science, data science, applied mathematics, statistics, engineering, or a closely related field.</li><li>Strong Python skills and sound software engineering habits.</li><li>Hands-on experience with applied machine learning, data science, NLP, information retrieval, or model evaluation work.</li><li>Experience using Python-based tools such as Pandas, PyTorch, PostgreSQL, Hugging Face, sentence transformers, or similar technologies.</li><li>Ability to work with incomplete, messy, or high-variance datasets and turn them into reliable inputs for analysis and model training.</li><li>Experience designing experiments and evaluation plans, then iterating from measured results.</li><li>Comfort working in Docker- and Git-based development environments and collaborating closely with engineers building production systems.</li><li>Strong written communication, attention to detail, and the ability to operate with autonomy in a lean team.</li></ul>Preferred Background<ul><li>Experience with modeling, simulation, probabilistic methods, forecasting, or other techniques for studying complex systems.</li><li>Experience integrating demographic, geographic, survey, event, economic, or other population-scale datasets into analytical workflows.</li><li>Familiarity with retrieval systems, vector databases, semantic search, graph-based retrieval, or graph/RAG experimentation.</li><li>Exposure to model calibration, sensitivity analysis, fairness assessment, and representativeness challenges in real-world data.</li><li>Academic, laboratory, or research experience in computer science, data science, applied statistics, computational social science, or a related quantitative field.</li></ul>To Apply:<ul><li>Send a resume to Joshua Riley, Director of Program Management at joshua@kenaidefense.com</li></ul>Job Type: Full-timePay: $70,000.00 - $120,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you a U.S. Citizen? (U.S. Citizenship is required for this position)</li><li>Do you have a criminal record</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

Applied AI Data Engineer

Andiamo

<div>
 Machine Learning Engineer, Product Innovation
 
 
 This role is designed for an early career machine learning engineer who wants to work directly on real products, not isolated research. You will help bring intelligent features to life by exploring modern AI techniques, experimenting quickly, and turning promising ideas into production ready capabilities that improve how teams work together.
 
 
 The Opportunity
 
 
 You will join a product focused engineering environment building collaborative, AI powered software for modern teams. The product space centers on reducing coordination overhead, improving alignment, and enabling better outcomes through intelligent systems that work alongside humans. Machine learning is treated as a core product capability, deeply embedded into everyday workflows.
 
 
 This is an environment that values curiosity, momentum, and learning by doing. You will have the freedom to explore new approaches while being supported by experienced engineers who care deeply about craft, impact, and growth.
 
 
 Your Role and Impact
 
 
 As a Machine Learning Engineer, you will contribute directly to user facing features powered by applied AI. You will take ownership of projects from initial problem framing through experimentation, prototyping, iteration, and production support. Your work will help shape how intelligent teammates augment planning, synthesis, and execution across teams.
 
 
 You will spend meaningful time working with real data, learning how models behave in practice, and improving outcomes based on measurable signals. This role emphasizes practical impact over academic novelty.
 
 
 What You Will Do
 
 
 You will explore and evaluate modern machine learning models and techniques, applying them to core product challenges. You will design experiments, build prototypes, and collaborate with engineers to integrate successful approaches into production systems.
 
 
 You will work closely with product managers, designers, and software engineers to translate user needs into thoughtful AI driven solutions. You will help define how success is measured and iterate based on real world feedback.
 
 
 You will stay current with emerging research and tools, sharing insights and applying what you learn to improve the product and technical stack. You will contribute to a culture of rapid experimentation, balancing scrappy exploration with disciplined iteration.
 
 
 You will learn from more senior engineers while also taking initiative to explore new ideas independently. You will bring a strong sense of ownership, pushing projects forward and unblocking yourself as you move ideas from concept to execution.
 
 
 What You Bring
 
 
 You have at least two years of experience working in machine learning, applied AI, or data science. You are comfortable using Python and have experience with common ML frameworks such as PyTorch or TensorFlow, along with basic data processing workflows.
 
 
 You are excited about applying machine learning to improve real user experiences, not just building models in isolation. Exposure to large language models or generative AI systems is a plus, but curiosity and drive matter more than any single tool.
 
 
 You take ownership seriously and enjoy following projects through to completion. You are eager to grow your independence and technical depth, especially in areas such as model deployment and AI enabled systems.
 
 
 You collaborate well with others, value feedback, and contribute to an inclusive and supportive team culture. You thrive in fast moving environments with evolving priorities and see adaptability as an opportunity to learn.
 
 
 Technical Environment
 
 
 The stack includes a modern full stack monorepo with TypeScript, contemporary frontend frameworks, and a backend built on scalable APIs and relational data stores. Infrastructure is cloud native, with strong use of managed services, developer tooling, and AI assisted workflows throughout the development process.
 
 
 Logistics
 
 
 A bachelor&rsquo;s degree in a related field or equivalent practical experience is expected. The role follows a hybrid work model, with regular in person collaboration in a California based office during the middle of the week and remote work on other days.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Machine Learning Engineer - Product & Engineering AI Building Tool

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