ai research engineer

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

Meltwater

<div>
 
 Description
 
 
 
 Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater&rsquo;s media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community.
 
 
 Our AI team is young, ambitious and focused on innovation.
 
 
 With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun.
 
 
 Read our underthehood blog to see which problems our engineers are solving.
 
 
 Meltwater&rsquo;s Consumer Intelligence AI Team is looking for a Machine Learning Engineer to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers.
 
 
 We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI.
 
 
 As a Machine Learning Engineer at Meltwater, you will own machine learning powered features from idea to production, working on systems that operate at massive scale. You should be comfortable with experimentation, collaboration, and real-world impact.
 
 
 
 What we're looking for:
 
 
 
 This role is ideal for candidates with a strong foundation in machine learning, data science, or applied research who enjoy experimentation and model-driven problem solving and who want to translate their work into real-world, production systems at scale. You are excited to grow your software engineering and production skills over time, while bringing strong foundations in experimentation, modeling, evaluation, and applied machine learning.
 
 
 Our team is organized over 3 objectives : innovation, research and production.
 
 
 
 Innovation:
 
 We leverage our AI expertise to constantly imagine new business oriented features to enhance our products.
 
 
 
 Research:
 
 To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks.
 
 
 
 Production
 
 : We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team.
 </li>
 <li>
 Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
 </li>
 <li>
 Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems
 </li>
 <li>
 Design, run, and iterate on machine learning experiments to improve model quality and product impact
 </li>
 <li>
 Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems
 </li>
 <li>
 Analyze model errors and failure modes to understand limitations, biases, and opportunities for improvement.
 
 
 </li>
 </ul>
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation &amp; prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems.
 </li>
 <li>
 Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
 </li>
 <li>
 Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems
 </li>
 <li>
 You&rsquo;ll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities
 </li>
 <li>
 Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
 </li>
 <li>
 Experience building industry-scale user-facing ML/AI/Agentic applications
 </li>
 <li>
 Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)
 </li>
 <li>
 Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, &hellip;) is a plus
 
 
 </li>
 </ul>
 
 What You'll Bring:
 
 
 
 <ul>
 <li>
 2+ years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research.
 </li>
 <li>
 Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis
 </li>
 <li>
 Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems
 </li>
 <li>
 Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems
 </li>
 <li>
 You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength.
 </li>
 <li>
 Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)
 </li>
 <li>
 Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve
 </li>
 <li>
 You are a team-player, self-learner and autonomous
 </li>
 <li>
 MS, PhD, or equivalent practical experience in machine learning, data science, or a related technical field
 
 
 </li>
 </ul>
 
 What We Offer:
 
 
 
 <ul>
 <li>
 You will work with a team of passionate people who are always willing to help and learn from others
 </li>
 <li>
 You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business
 </li>
 <li>
 As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. At Meltwater, everyone has an opportunity to make a difference
 </li>
 <li>
 Enjoy flexible paid time off that allows you to have an enhanced work-life balance.
 </li>
 <li>
 Excellent medical, dental, and vision options
 </li>
 <li>
 401(k) matching, life insurance, commuter benefits, and parental leave plans
 </li>
 <li>
 Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
 </li>
 <li>
 Energetic work environment with a hybrid work style, providing the balance you need.
 </li>
 <li>
 Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
 </li>
 <li>
 Total compensation range for this position: $150-200 per year (Depending on insurance)
 
 
 </li>
 </ul>
 
 Where You'll Work:
 
 
 
 New York
 
 
 
 When you'll join:
 
 
 
 May/June 2026
 
 
 
 Our Story
 
 
 
 At Meltwater, we believe that when you have the right people in the right environment, great things happen.
 
 
 Our best-in-class technology empowers our
 
 27,000 customers
 
 around the world to make better business decisions through data. But we can&rsquo;t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers.
 
 
 Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other&rsquo;s successes along the way.
 
 
 We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers.
 
 
 We&rsquo;re proud of our diverse team of
 
 2,200+ employees
 
 in
 
 50 locations
 
 across
 
 25 countries
 
 around the world. No matter where you are, you&rsquo;ll work with people who care about your success and get the support you need to unlock new heights in your career.
 
 
 
 We are Meltwater. Inspired by innovation, powered by people.
 
 
 
 
 Our Team
 
 
 
 Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun.
 
 
 Read our under-the-hood blog to see which problems our engineers are solving.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment.
 
 
 
 
 All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations.
 
 
 
 
 Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
 
 
 We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws
 
</div>

Machine Learning Engineer

Equifax

<div>What you&rsquo;ll do
As our Lead AI Engineer, you will be the driving force behind our technical vision and execution. Your core responsibilities include:
<ul><li>Implement Sophisticated AI Agents: Design, build, and deploy complex AI agents using LangChain and LangGraph. You will own the core logic that automates intricate decision-making within the claims lifecycle.
</li><li>Master Prompt &amp; Context Engineering: Design, test, and refine complex prompts and contextual data frameworks to ensure our AI agents perform with maximum accuracy, efficiency, and reliability.
</li><li>Lead AI Research &amp; Innovation: Stay at the bleeding edge of AI. You&rsquo;ll be responsible for identifying, prototyping, and integrating the latest foundational models, RAG techniques, and agentic frameworks to solve unique business challenges.
</li><li>Build for Production Scale on GCP: Engineer and operate our AI systems in a scalable, reliable production environment on Google Cloud Platform. Your work will directly impact millions of users.
</li><li>Champion MLOps for Agentic Systems: Establish and lead best practices for the reliability, versioning, monitoring, and observability of our AI agents, using tools like Langfuse to ensure production-grade performance.
</li><li>Collaborate to Deliver Impact: Partner closely with product leaders, data scientists, and other engineers to translate business needs into technical reality, ensuring our AI solutions are both innovative and effective.
</li><li>Champion modern software development practices by actively using AI code-assist tools (e.g., Gemini code assists, Github Copilot, Claude code) to accelerate development cycles, generate documentation, improve code quality, testing, and monitoring &amp; observability practices
</li><li>Build, manage, and mentor a cross-functional team of software, quality, and reliability engineers, fostering a culture of technical excellence and continuous improvement.
</li><li>Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations (DevSecOps, FinOps) best practices.
</li><li>Collaborate with product managers, architects, SREs and business partners to define technical strategy, create software roadmaps, and make key architectural and design decisions.
</li><li>Lead troubleshooting efforts to resolve production and customer issues, demonstrating deep technical expertise and problem-solving skills.
</li><li>Participate and lead agile team activities, including Sprint Planning and Retrospectives, to ensure efficient and predictable delivery
</li><li>Lead with a data/metrics driven mindset with a extreme focus towards optimizing and creating efficient solutions
</li><li>Drive up-to-date technical documentation including support, end user documentation and run books
</li><li>Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate
</li></ul>What You'll Bring (Experience &amp; Technical Stack)
<ul><li>Bachelor's degree or equivalent experience
</li><li>7+ years in software engineering, with a strong track record of technical leadership and shipping complex, scalable systems.
</li><li>2+ years in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems.
</li><li>1+ years of direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks.
</li><li>2+ years of in-depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.).
</li><li>3+ years of proven experience leveraging Kubernetes workloads.
</li><li>Proficiency in Python, JavaScript/TypeScript and/or Java and working knowledge of a modern front-end framework (Angular, React, or Vue) to collaborate effectively with UI teams.
</li><li>Hands-on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows
</li><li>Cloud-Native Proficiency:
<ul><li>Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
</li><li>Containerization: Mastery of Docker for containerizing applications and Kubernetes for orchestration.
</li><li>Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation to manage infrastructure programmatically.
</li><li>CI/CD Tools: Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins
</li><li>Database Knowledge: Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases.
</li><li>Cloud-Native Proficiency:
</li><li>Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
</li><li>Containerization: Mastery of Docker for containerizing applications and Kubernetes for orchestration.
</li><li>Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation to manage infrastructure programmatically.
</li><li>CI/CD Tools: Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins
</li><li>Database Knowledge: Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases. 
</li></ul></li></ul>What could set you apart
<ul><li>Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama.
</li><li>You are adept at leveraging modern development tools, including AI-powered code assistants (like GitHub Copilot), to accelerate the development lifecycle and rapidly ship high-quality features
</li><li>Experience creating and deploying AI agents to production environments.
</li><li>You have a history of tackling ambiguous, complex technical challenges and architecting elegant, effective solutions.
</li><li>You are passionate about the potential of AI, but you are grounded in the practical realities of building and shipping reliable, production-ready software.
</li><li>You thrive in a team-oriented environment, capable of mentoring other engineers and clearly communicating complex technical ideas to any audience.
</li><li>You are motivated by the opportunity to apply cutting-edge technology to solve meaningful, real-world problems at a massive scale.
</li></ul>#LI-ES1
#LI-Hybrid</div>

Lead AI Engineer

YO IT CONSULTING

<div>Job Title: AI/ML Engineer
Job Type: Full-Time
Job Summary:
Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
Key Responsibilities:
<div><ul><li>Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.</li></ul>
<ul><li>Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.</li></ul>
<ul><li>Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.</li></ul>
<ul><li>Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.</li></ul>
<ul><li>Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.</li></ul>
<ul><li>Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).</li></ul>
<ul><li>Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.</li></ul>
</div>Required Skills and Qualifications:
<div><ul><li>Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.</li></ul>
<ul><li>Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.</li></ul>
<ul><li>Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.</li></ul>
<ul><li>Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).</li></ul>
<ul><li>Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.</li></ul>
<ul><li>Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).</li></ul>
<ul><li>Exceptional written and verbal communication skills for effective collaboration and documentation.</li></ul>
</div>Preferred Qualifications:
<div><ul><li>Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.</li></ul>
<ul><li>Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.</li></ul>
<ul><li>Prior exposure to government or highly regulated cloud environments and compliance standards.</li></ul></div></div>

AI/ML Engineer - Remote

DataCamp

<div>About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction&mdash;a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We're building an AI Creator that turns learning into action&mdash;empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets&mdash;you aim to understand the &quot;why&quot; behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities
<ul>
<li>Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.</li>
<li>Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.</li>
<li>Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.</li>
<li>Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.</li>
<li>Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.</li>
<li>Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.</li>
<li>Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.</li>
</ul>
Qualifications
<h3 class="jobSectionHeader">
Technical</h3>
<ul><li>1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.</li>
<li>Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.</li>
<li>Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.</li>
<li>Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.</li>
</ul><h3 class="jobSectionHeader">Product &amp; Pedagogy</h3>
<ul><li>Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.</li>
<li>Ability to reason holistically across AI behavior, content structure, platform features, and user experience.</li>
<li>Familiarity with learning science or a desire to develop expertise.</li>
</ul><h3 class="jobSectionHeader">Character &amp; Collaboration</h3>
<ul><li>Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.</li>
<li>Preference for elegance and simplicity in system design.</li>
<li>Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.</li>
</ul>
Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:
<ul>
<li>Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.</li>
<li>Competitive compensation: We offer a competitive salary with attractive benefits.</li>
<li>Flexibility: Benefit from flexible working hours because the future is flexible!</li>
<li>Continuous learning: Access a yearly learning budget for conferences &amp; training to support your professional growth.</li>
<li>Global retreats: Participate in international company retreats, fostering a global team spirit.</li>
<li>Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.</li>
<li>Amazing team: Collaborate with a truly exceptional team&mdash;seriously, we're awesome!</li></ul></div>

Principal AI Engineer - AI Creator

LimeoX LLC

<div>
 
 
 We&rsquo;re Hiring: AI/ML Engineer On-Site (Sargodha)
 
 
 
 We are looking for a
 
 highly skilled and independent AI/ML Engineer
 
 to join our growing team. You&rsquo;ll work on cutting-edge projects involving
 
 Large Language Models (LLMs), custom weightage models, clustering &amp; classification, automation, and AI-powered workflows
 
 .
 
 
 
 
 
 This role offers technical direction and project requirements, but you&rsquo;ll have the freedom to design and implement innovative solutions from scratch. If you enjoy building and experimenting with models, researching new approaches, and turning ideas into production-ready tools, this is the place for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and fine-tune models and LLMs to solve real-world business problems.
 </li>
 <li>
 Develop custom prediction models and conduct comparative research to determine the most effective approach.
 </li>
 <li>
 Perform AI/ML research and translate innovative concepts into production-ready solutions.
 </li>
 <li>
 Design and implement AI agents and automations, including workflows integrated with Google Sheets/Docs via Apps Script.
 </li>
 <li>
 Apply clustering and classification techniques to identify patterns, generate insights, and support decision-making.
 </li>
 <li>
 Develop, optimize, and maintain data pipelines and system integrations for model training and deployment.
 </li>
 <li>
 Collect, scrape, and preprocess data for machine learning training, evaluation, and analysis.
 </li>
 <li>
 Deploy, monitor, and continuously retrain models to ensure optimal performance over time.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 1-2 years of experience as an
 
 AI/ML Engineer
 
 or similar role.
 </li>
 <li>
 Strong Python skills with hands-on experience in
 
 ML frameworks
 
 (TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Experience with
 
 Weightage-based algorithms
 
 and
 
 LLM fine-tuning
 
 .
 </li>
 <li>
 Solid understanding of
 
 clustering
 
 and
 
 classification
 
 techniques.
 </li>
 <li>
 Proficiency in
 
 automation via Google Apps Script
 
 .
 </li>
 <li>
 Knowledge of
 
 web scraping
 
 tools (e.g., Selenium, Playwright).
 </li>
 <li>
 Experience with databases (PostgreSQL, MySQL, MongoDB).
 </li>
 <li>
 Familiarity with
 
 asynchronous programming
 
 and multi-threading.
 </li>
 <li>
 Strong research skills and ability to work independently.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Degree in
 
 Computer Science, AI, Data Science, or a related field
 
 .
 </li>
 <li>
 Experience with
 
 cloud AI platforms
 
 (AWS SageMaker, Google Vertex AI, Azure ML).
 </li>
 <li>
 Contributions to
 
 open-source AI projects
 
 .
 </li>
 <li>
 Knowledge of
 
 MLOps practices
 
 .
 </li>
 </ul>
 
 
 
 
 
 Salary &amp; Perks
 
 
 <ul>
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 Starting salary:
 
 100,000 &ndash; 150,000 PKR (depending on skills &amp; experience).
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 Accommodation
 
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 Lunch
 
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 Travel Allowance
 
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 Provident Fund
 
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 Ready to innovate with AI?
 
 Apply now and help shape the future of intelligent automation at LimeoX.
 
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 Note: This is an on-site position. Please apply only if you can relocate to the job location and are not seeking remote work options.
 
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AI/ML Engineer

LimeoX

We&rsquo;re Hiring: AI/ML Engineer On-Site (Sargodha)We are looking for a highly skilled and independent AI/ML Engineer to join our growing team. You&rsquo;ll work on cutting-edge projects involving Large Language Models (LLMs), custom weightage models, clustering &amp; classification, automation, and AI-powered workflows.This role offers technical direction and project requirements, but you&rsquo;ll have the freedom to design and implement innovative solutions from scratch. If you enjoy building and experimenting with models, researching new approaches, and turning ideas into production-ready tools, this is the place for you.Key Responsibilities<ul><li>Build and fine-tune weightage models and LLMs to solve real-world business problems.</li><li>Develop custom prediction models and conduct comparative research to determine the most effective approach.</li><li>Perform AI/ML research and translate innovative concepts into production-ready solutions.</li><li>Design and implement AI agents and automations, including workflows integrated with Google Sheets/Docs via Apps Script.</li><li>Apply clustering and classification techniques to identify patterns, generate insights, and support decision-making.</li><li>Develop, optimize, and maintain data pipelines and system integrations for model training and deployment.</li><li>Collect, scrape, and preprocess data for machine learning training, evaluation, and analysis.</li><li>Deploy, monitor, and continuously retrain models to ensure optimal performance over time.</li></ul>Requirements<ul><li>Proven experience as an AI/ML Engineer or similar role.</li><li>Strong Python skills with hands-on experience in ML frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Experience with Weightage-based algorithms and LLM fine-tuning.</li><li>Solid understanding of clustering and classification techniques.</li><li>Proficiency in automation via Google Apps Script.</li><li>Knowledge of web scraping tools (e.g., Selenium, Playwright).</li><li>Experience with databases (PostgreSQL, MySQL, MongoDB).</li><li>Familiarity with asynchronous programming and multi-threading.</li><li>Strong research skills and ability to work independently.</li></ul>Preferred Qualifications<ul><li>Degree in Computer Science, AI, Data Science, or a related field.</li><li>Experience with cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure ML).</li><li>Contributions to open-source AI projects.</li><li>Knowledge of MLOps practices.</li></ul>Salary &amp; Perks<ul><li>Starting salary: 100,000 &ndash; 150,000 PKR (depending on skills &amp; experience).</li><li>Accommodation</li><li>Lunch</li><li>Travel Allowance</li><li>Provident Fund</li></ul>Ready to innovate with AI? Apply now and help shape the future of intelligent automation at LimeoX.Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthAbility to commute/relocate:<ul><li>Sargodha: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>AI/ML: 2 years (Preferred)</li><li>Automation: 1 year (Preferred)</li></ul>Work Location: In person

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