Jobs

Description

Our Customer is one of the biggest companies in the home entertainment consumer electronics devices market, striving to provide their clients with high-quality products and services.

Project goals include testing media apps on digital media players and smart TVs, providing testing results to Customers for decision-making, work with requirements.

Requirements

Good knowledge of testing theory (test types, test cases, bug reports, etc.)
Knowledge of Operating Systems and network protocols
Basic knowledge of hardware
Attention to detail, patience, and investigation skills
At least an intermediate English level
Fast learner with strong problem-solving skills
Preferred:
SQL, HTML, and CSS knowledge
Technical writing
Experience with Smart TV platforms

Job responsibilities

Manual testing of media applications on set-top boxes and smart TV.
Creating bug reports.
Creating and updating test documentation.

🔍 We’re Hiring: AI Engineer (AVM / Real Estate Focus)

We’re a venture-backed startup on a mission to reshape the real estate industry in the UAE using the power of AI. We're building a core product — an AI-powered Automated Valuation Model (AVM) — and we're looking for an AI Engineer who has hands-on experience with real estate or proptech predictive models.

If you're excited about applying AI to tangible, high-impact problems and love the idea of working on something foundational from day one — we’d love to talk.

🔧 What you’ll do:

• Build and improve an AVM tailored to the UAE real estate market
• Develop predictive models related to pricing, market dynamics, and property performance
• Collaborate with our product and data teams to shape the product roadmap
• Apply ML techniques using available market data, satellite imagery, transaction records, etc.

✅ What we’re looking for:

• Proven experience in real estate data, AVMs, or similar predictive modeling
• Strong applied ML/AI skills (we’re tech-stack agnostic)
• Ability to work autonomously and take ownership of your part of the product
• Fluent English — our team is international and fully English-speaking

• Availability to start immediately, full-time

   

💼 Why join us:

• Work on a mission-critical product for a fast-growing, funded startup
• High level of autonomy and ownership
• Potential for long-term collaboration (up to 12 months or more)
• 100% remote — work from anywhere

We are helping to find an AI Automation Engineer for our client (startup — A performance marketing and traffic arbitrage team focused on scaling marketing campaigns using AI automation)
 

Location: Remote Ukraine, Hybrid (Warsaw) | Full-time

Key Responsibilities
 

• Develop AI agents to automate tasks with browsers, Jira, Slack, and SaaS platforms.
• Automate campaign launch and management via advertising APIs (Google Ads, Meta).
• Integrate LLM models (GPT, Gemini, Llama) for instruction processing and task execution.
• Automate data processing for marketing analytics and predictive modeling.
• Optimize marketing workflows using AI and machine learning.
   

Key Technical Skills and Experience
 

• 3+ years in AI/ML, automation, or API integration.
• Strong Python (FastAPI, Flask, Pandas), SQL, API experience.
• Hands-on experience with LLMs (OpenAI API, Gemini, Llama), NLP, LangChain.
• Automation of browser workflows (Selenium, Playwright, Puppeteer, GPT Operator).
• Experience integrating advertising APIs (Google Ads, Facebook Ads).
• Marketing data analysis expertise.
• Experience with Docker, Kubernetes, CI/CD.
   

Preferred Qualifications
 

• Experience in traffic arbitrage or marketing agencies.
• RPA knowledge.
• AI-driven marketing strategy development.

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app (https://apps.apple.com/us/app/id1671843069).

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

We are looking for an AI engineer for Estonian startup Snoika - AI Search Engine Visibility and Optimization SaaS.

Snoika is the results-driven AI Marketing Engine that guarantees 5+ qualified inbound leads per week for B2B companies while making them visible in both AI and traditional search engines. Our platform fuses cutting-edge knowledge-graph analytics, large-language-model (LLM) optimization and high-quality content pipelines to out-rank expensive legacy SEO and GEO agencies at a fraction of the cost.

Why you'll love this role

As one of the first Data Scientists in our growing Data Science Guild, you'll sit at the heart of Snoika's product - building and shipping the models and agents that:

• Scan LLM memory for gaps in brand knowledge (Knowledge-Graph Gap Scan).
• Inject fresh structured signals (schema, Wikidata, press citations) into AI ecosystems at scale.
• Score synthetic Q&A prompts weekly to measure Share-of-Voice.
• Optimize a reinforcement loop that drives > 90% visibility for our customers in ChatGPT, Gemini, Claude, Perplexity, Grok and more.
• Generate high quality articles with images at scale.

Every sprint you'll see your work go live, creating measurable uplifts in traffic, leads and revenue for venture-backed SaaS brands, fintechs, deep-tech companies and Fortune 2000 enterprises.

What you'll do

• Design, build , and deploy end-to-end agentic pipelines using n8n, Python, Hugging Face plus LangChain for chain orchestration and LangSmith for debugging, testing, and live observability of LLM flows.
• Develop production-grade RAG systems with LangChain's retrieval templates and vector databases (Pinecone, Qdrant, Weaviate) to surface knowledge gaps and optimize keyword coverage.
• Run systematic prompt-engineering experiments —A/B tests on instructions, system messages, and few-shot examples—to maximize precision/recall and minimize hallucination.
• Deploy agentic frameworks (eg, LangChain Agents, autonomous task loops) that automate Knowledge-Graph Gap Scans, content generation with images, and weekly Share-of-Voice scoring.
• Integrate Anthropic's Model Context Protocol (MCP) so Claude, GPT, and Gemini can pull fresh structured data (schema.org, Wikidata, press citations) from secure endpoints.
• Architect scalable data workflows on modern cloud stacks (eg n8n, GCP/AWS, BigQuery, DuckDB, Polars, Spark).
• Partner closely with Product, Growth and Engineering in one-week Scrum sprints; demo results to the team and customers and iterate fast.
• Track and own model KPIs such as precision/recall of entity extraction, share-of-voice uplift, and lead-conversion impact.
• Contribute to our results-based culture: "If we don't hit the KPIs, we extend services at no cost - until we do."

What we're looking for

• 1+ years of hands-on experience in AI / ML engineering or data science
• Fluency in Python or NodeJS plus modern LLM tooling: LangChain / LangSmith, prompt-engineering, major LLM APIs (OpenAI, Anthropic, Gemini); experience fine-tuning or deploying models is a big plus.
• Know-how with vector embeddings and search (Pinecone, Qdrant, Weaviate) and solid data-engineering chops: SQL, data modeling, orchestration (Airflow, n8n, Prefect, dbt).
• Comfort working in an Agile/Scrum environment, shipping to production every sprint.
• Familiarity with RAG workflows, marketing analytics, SEO / GEO / AIVO, ranking or recommender systems is highly valued.
• Familiarity with Text-to-Image models is a big plus.
• Startup DNA: you bias to action, navigate ambiguity and own outcomes end-to-end.
• Good spoken English; any other language is a bonus.

What we offer

• Impact from day one - your models directly drive our customers' leads and revenue.
• Competitive salary and opportunity for career growth.
• Senior peers & advisors - work alongside PhDs who've worked with NASA, Google, Microsoft, Bosch and more.
• Fast growth - startup scaling revenue and product lines quarter-over-quarter.
• Remote autonomy & flexible hours - we care about output, not chair time.

If you're excited to push the boundaries of AI Search Engine Visibility and Optimization, and want to help shape the future of marketing technology, we want to hear from you!

About Us
We are a leading Israeli IT company with 15 years of market experience and 8 years in Ukraine. Officially registered in Ukraine, Israel, and Estonia, we employ over 100 professionals worldwide. Specializing in successful startup collaboration, we offer services across e-commerce, Fintech, logistics, and healthcare.

Our client is an Israeli biotechnology company that develops AI-driven computational models of human diseases at the cellular level. By integrating vast amounts of proprietary and public data, their platform enables pharmaceutical companies to gain molecular-level insights, facilitating data-driven decisions throughout the drug development process. 

Key Requirements:
🔹 Relevant education or practical experience in Computer Science, Machine Learning, Mathematics, Statistics, or a related field;
🔹 3+ years of experience as a Software Engineer or AI/ML Engineer with a focus on building and deploying AI systems;
🔹 Hands-on experience with machine learning algorithms and statistical modeling;
🔹 Solid understanding of data processing, model training, and evaluation techniques;
🔹 Proficiency in version control systems such as Git;
🔹 Experience with both SQL and NoSQL databases;
🔹 Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model training and deployment;
🔹 Basic knowledge of containerization tools like Docker and Kubernetes;
🔹 Understanding of scalable architectures and distributed computing for large datasets;
🔹 Proven experience working with cross-functional teams (data scientists, engineers, product managers);
🔹 Strong communication skills for articulating complex ideas to both technical and non-technical audiences;
🔹 English – Upper-Intermediate or higher.

Will be a plus:
🔹 Familiarity with MLOps tools and practices;
🔹 Experience deploying models into production environments and monitoring their performance;
🔹 Knowledge of optimization techniques for large-scale data pipelines;
🔹 Experience with workflow orchestration tools (e.g., Airflow, Prefect);
🔹 Background in deep learning frameworks and automated model tuning;
🔹 Strong communication and collaboration skills within multidisciplinary teams.

What you will do:
🔹 Participate in the design of scalable and maintainable software architectures for AI systems and data pipelines;
🔹 Take part in the development and optimization of high-scale pipelines and data infrastructure;
🔹 Contribute to technical decisions regarding tools, frameworks, and methodologies used in AI projects;
🔹 Help define technical roadmaps that align with business goals and innovation strategies;
🔹 Work closely with data scientists, ML engineers, and product managers to integrate models into complete AI workflows;
🔹 Provide mentorship and support to junior team members, promoting best practices and high-quality code standards.

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
🔹 Pro Interview;
🔹 Final Interview.

Why Join Us?
🔹 Be part of a friendly international team, working together on interesting global projects;
🔹 Enjoy many chances to grow, learn from mentors, and work on projects that make a real difference;
🔹 Join a team that loves fresh ideas and supports creativity and new solutions;
🔹 Work closely with clients, building great communication skills and learning directly from their needs;
🔹 Thrive in a workplace that values your needs, offering flexibility and a good balance between work and life.

Hi, we are looking for Data & AI engineer. 

Online platform for schools and students that allows to prepare for exams and study multiple subjects
 

• Python Development
  Design and implement scalable ETL pipelines using Python
• Proficiency in Python, with experience in backend frameworks
• LLM Integration, RAG + Agent Development
• Experience integrating LLMs into applications
• Proficiency in the RAG techniques
• Database Management
• Strong experience with PostgreSQL, including database design, optimization, and querying, GCP
• Search Technologies

• Experience working with keyword and vector search technologies, including implementation and optimization

  Про компанію Yojji Yojji is a development center, based in Lviv, Ukraine. We are a team of specialists with great experience in JavaScript, full-stack development and web design. We provide outsource and outstaff services to reliable frequent customers and startups in the USA, Europe and Israel.

About Us

We are a leading Israeli IT company with 15 years of market experience and 8 years in Ukraine. Officially registered in Ukraine, Israel, and Estonia, we employ over 100 professionals worldwide. Specializing in successful startup collaboration, we offer services across e-commerce, Fintech, logistics, and healthcare.

Requirements:

• 3+ years of experience in Machine Learning or Data Science roles
• Strong proficiency in Python and ML libraries
• Solid understanding of statistics, data preprocessing, and feature engineering
• Familiarity with cloud platforms (AWS, GCP, or Azure) and ML infrastructure tools
• Experience working with structured and unstructured data
• Knowledge of MLOps practices and tools is a big plus
• Upper-intermediate English level or higher

Responsibilities:

• Design, develop, and deploy ML models to solve real-world problems
• Collaborate with cross-functional teams to identify opportunities for machine learning solutions
• Work with large datasets to build scalable pipelines for training and inference
• Monitor model performance and retrain when necessary
• Implement best practices for reproducibility, model versioning, and automated workflows
• Contribute to research and prototyping of new algorithms and techniques
• Document your work and present results to both technical and non-technical stakeholders

Interview stages:

• HR interview;
• Pro-interview;
• Final interview;
• References;

• Offer.

   

Why Join Us?

🔹 Be part of a friendly international team, working together on interesting global projects;
🔹 Enjoy many chances to grow, learn from mentors, and work on projects that make a real difference;
🔹 Join a team that loves fresh ideas and supports creativity and new solutions;
🔹 Work closely with clients, building great communication skills and learning directly from their needs;
🔹 Thrive in a workplace that values your needs, offering flexibility and a good balance between work and life.

About Us

We are a leading Israeli IT company with 15 years of market experience and 8 years in Ukraine. Officially registered in Ukraine, Israel, and Estonia, we employ over 100 professionals worldwide. Specializing in successful startup collaboration, we offer services across e-commerce, Fintech, logistics, and healthcare.

Requirements:

• 3+ years of experience working with large language models or in related AI/NLP roles
• Deep understanding of how transformer-based models, behave and respond to different prompt structures
• Experience with prompt engineering techniques
• Ability to evaluate LLM output quality and design benchmarking strategies
• Basic Python skills for working with APIs and automating prompt testing
• Upper-intermediate English or higher

Responsibilities:

• Design and optimize prompts for various LLM-driven applications and workflows
• Test, evaluate, and iterate on prompts to improve performance and reduce hallucinations or errors
• Collaborate with AI/ML and product teams to translate business needs into effective prompt strategies
• Build prompt libraries and documentation for internal use
• Contribute to the development of prompt testing frameworks and evaluation pipelines
• Stay up to date with advancements in LLM capabilities, techniques, and tools

Interview stages:

• HR interview;
• Pro-interview;
• Home assignment;
• Final interview;
• References;
• Offer.

Why Join Us?

• Be part of a friendly international team, working together on interesting global projects;
• Enjoy many chances to grow, learn from mentors, and work on projects that make a real difference;
• Join a team that loves fresh ideas and supports creativity and new solutions;
• Work closely with clients, building great communication skills and learning directly from their needs;
• Thrive in a workplace that values your needs, offering flexibility and a good balance between work and life.

About the Project

Join a high-performing cross-functional product team composed of top-tier engineers. We’re building an enterprise-grade data platform designed to integrate, process, and analyze vast amounts of disparate data in real-time.

This platform leverages cutting-edge technologies: Big Data, cloud-native architecture, AI-driven insights, and advanced database tooling to deliver deep operational visibility and power faster, smarter business decisions. We ensure scalability, traceability, and compliance (GDPR, HIPAA) through robust data lineage and governance features.

You’ll work mainly on AI services, having tight collaboration with backend developers to ensure seamless API integration.

What You’ll Do

• Design and develop advanced AI components using LangChain, AutoGen, and other multi-agent orchestration frameworks
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using tools like Google AI Platform, Vertex AI and Pinecone.
• Engineer efficient prompts and fine-tune LLMs (e.g., GPT-4o, DeepSeek) for advanced data analytics capabilities
• Develop AI-related backend services using Python and FastAPI
• Deploy scalable solutions in Google Cloud Platform (GCP), working with services such as BigQuery, GKE, Cloud Storage, etc.

• Collaborate with backend and data engineering teams to integrate and expose AI functionality via well-structured APIs

   

Must-Have Skills

• 5+ years of experience in backend and AI system development
• Strong hands-on experience with LangChain, AutoGen, and multi-agent frameworks
• In-depth knowledge of LLMs, prompt engineering, NL2SQL, and RAG architectures
• Proficient in Python and FastAPI
• Proven experience with GCP services: Vertex AI, BigQuery, GKE, Cloud Storage
• Experience building production-grade RAG pipelines

• Excellent problem-solving and communication skills

   

Nice-to-Have

• Experience working with data engineering and DevOps tools
• Familiarity with data governance frameworks and compliance standards (GDPR, HIPAA)

• Exposure to real-time processing and scalable architecture patterns

   

Why Join Us

• Work with a world-class team on a cutting-edge AI and data platform
• High-impact role with room for innovation and growth
• Flexible schedule and remote-friendly setup
• Competitive compensation
• Collaborative, growth-oriented culture
• Engage in technically challenging, meaningful projects

NineTwoThree AI Studio, a forward-thinking product design and engineering studio, is seeking an experienced ML Engineer with a strong focus on LLM technologies. Our studio helps businesses to harness the power of AI to increase efficiency and automation. We are proud of our track record in creating impactful solutions and apps, contributing to over one billion dollars in client revenue. Recognized by Inc. and the Boston Business Journal for our rapid growth, we remain committed to pushing the boundaries of technology.

Role:

As an ML Engineer at NineTwoThree, you will be at the forefront of integrating and optimizing ML technologies into our diverse range of projects. Your role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4, and ensuring their seamless integration with our clients' applications.

Technology Stack:

• Transformer models.
• RAG (Retrieval-Augmented Generation).
• ReAct and LangChain for language model applications.
• Supervised and Unsupervised ML.
• Vector databases.
• AWS for cloud computing and machine learning services.
• Familiarity with TensorFlow, PyTorch, or similar frameworks.

Responsibilities:

• Develop and maintain advanced machine learning models, particularly focusing on natural language processing and understanding.
• Implement and optimize ML solutions for various client applications.
• Work closely with the development team to integrate AI models into existing systems.
• Experiment with new models and techniques to improve performance and capabilities.
• Participate in code reviews, maintain high coding standards, and contribute to our internal knowledge base.
• Stay abreast of the latest developments in AI and machine learning.

Requirements

• Knowledge of Machine Learning fundamentals.
• Background in integrating ML models into data-driven systems.
• Experience with Python and SQL, along with expertise in NLP and LLMs.
• Ability to quickly adapt to new technologies and problem domains.
• Familiarity with ML deployment and monitoring.
• Proven experience in machine learning and natural language processing.
• An understanding of general LLM architecture and limitations, as well as features of modern LLMs.
• Experience with cloud computing services, preferably AWS.
• Proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills and ability to collaborate in a team environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Fluent in English for effective collaboration with our international team.

We are glad to offer you:

• 100% remote job.
• Paid vacations, sick leave, and holidays.
• Flexible Working Hours: You can choose when to start your day. 10 AM? Great. 1 PM? That’s fine with us, as long as you can attend all scheduled meetings. While we don’t expect you to be available 24/7, our ML Engineers are often requested to meet and collaborate with clients in North America during East Coast business hours. Additionally, ML Engineer may be required to attend calls with clients from West Coast, where the latest call might be scheduled at 12 PM PST. We always strive to schedule meetings earlier in the day whenever possible.
• Accounting assistance.
• Well-being budget.
• Reimbursement of expenses for professional development courses/certifications.
• Hardware upon business needs.
• Collaborative and innovative work environment with continuous opportunities for learning and growth.

Hiring process:

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd technical interview with the live coding challenge, Offer.

Join NineTwoThree Studio and be a part of a team that’s shaping the future with AI.

Short term or part-time possible!
We are seeking an experienced and driven Machine Learning Engineer  to join an international team building a next-generation AI-native cybersecurity platform. The ideal candidate is passionate about machine learning and software engineering, capable of designing scalable ML pipelines and deploying real-time intelligent systems in production environments.

About project: 
Join the development of a cloud-native XDR platform that redefines threat detection and response. The system processes real-time sensor data via a scalable streaming stack using technologies like ClickHouse, Redpanda, Vector, Airflow, and Qdrant. It enables fast experimentation, semantic retrieval, and hybrid search with embedded LLMs—offering a dynamic space at the crossroads of cybersecurity, machine learning, and modern MLOps.

Your area of responsibility: 
- Designing and maintaining ML pipelines for anomaly detection, clustering, and classification;
- Developing and fine-tuning models like Isolation Forest and Latent Mixture Models;
- Leveraging Python ML libraries (scikit-learn, pandas, numpy, pyod) for preprocessing and evaluation;
- Integrating vector search and RAG systems with llama_index and vector databases (Qdrant, FAISS, Pinecone);
- Collaborating with MLOps engineers on deploying and monitoring models;
- Processing large CSV datasets in distributed environments;
- Participating in code reviews and design discussions to ensure robustness and maintainability.

Skills and requirements:
- Strong Python skills with hands-on experience in scikit-learn, pandas, numpy, and pyod;
- Skilled in unsupervised learning and anomaly detection;
- Knowledge of TCP/IP networking and feature engineering from packet and flow data;
- Experience with LLM augmentation tools and vector databases (e.g., llama_index, Qdrant, FAISS, Pinecone);
- Familiar with deploying ML models in containerized/cloud environments (Kubernetes a plus);
- Solid grasp of software engineering best practices: version control, testing, modular design, documentation;
- Background in distributed systems and cloud-based deployments.
 

Will be a plus:
- Experience with CI/CD pipelines and MLOps tools;
- Knowledge of orchestration frameworks like Apache Airflow;
- Familiarity with data versioning and large-scale data processing frameworks;
- Prior experience in contractor or remote roles.
 

We offer:

- Висококласні робочі умови: спільнота першокласних інженерів, близько 90% нашої команди це Middle та Senior; цікаві та довгострокові проєкти у різних сферах; можливість змінити проєкт в разі необхідності;

- Конкурентна ринкова компенсація в валюті (не в гривневому еквіваленті), яка виплачується без затримок;

- Власний план розвитку та регулярні перегляди компенсації;

- Оплачувані відпустки (20 днів) та лікарняні дні (5 днів);

- Всі державні свята за Українським законодавством є вихідними;

- Можливість працювати з будь-якою точки світу — ми знайдемо юридичний варіант, допоможемо легалізуватися або проконсультуємо з цього питання.

- Бухгалтерський супровід;

- Юридична підтримка в межах України;

- Повноцінна HR-підтримка та турбота.

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.
 

Locations: Poland, Croatia, Slovakia, Romania


Requirements

Required:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +4 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.

• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.
  
   

  Job responsibilities

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots
  
   

Project Description:

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.

Required:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +7 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.

• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.

   

Job Responsibilities:

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots

Company Background
PiñataFarms AI is a team that builds advanced AI products, allowing anyone to become creative by recontextualizing content to come together with others. Our products are used by millions. With a track record of major cultural and tech successes, we are using computer vision, mobile hardware, and consumer tech to create a generational phenomenon. Backed by top Silicon Valley VC's and influential strategic investors, we are at the forefront of innovation.

Role Description
We’re hiring a Backend & MLOps Engineer to own the Node.js backend and Python-based ML infrastructure that powers multiple consumer apps. You’ll operate across AWS Amplify/AppSync, Firebase, and on-prem GPUs, ensuring our services remain reliable, scalable, and cost-efficient. We are open to remote for this role and have teams in both the US and Europe.

What You’ll Be Doing:

• Develop, deploy, and maintain backend APIs on AWS Amplify & AppSync (GraphQL) or GCP (Firebase)
• Manage Docker-based Python CV/LLM inference pipelines, primarily on on-prem GPUs
• Prototype rapid fixes or features, then harden them into production-grade systems
• Collaborate with the product and the iOS team to deliver new endpoints and incremental features while meeting reliability and cost targets
• Streamline and automate routine tasks with scripts and modern AI tooling
• Maintain data pulls and pipelines – schedule and automate extracts from BigQuery, DynamoDB for analytics and reporting

What We’re Looking For:

• 5+ years in backend engineering, DevOps, or MLOps
• Strong proficiency in Python and solid Node.js/TypeScript skills
• Hands-on experience with core AWS services; comfortable with GCP/Firebase basics
• Demonstrated ability to learn quickly, prototype fast, and automate relentlessly – you default to scripting or AI-powered tools over manual work
• Solid SQL skills and familiarity with data-pipeline best practices
• Excellent written and verbal communication skills, plus a reliable on-call record

Bonus Points

• Operating GPU workloads on-prem and in AWS/GCP
• Prior use of LLM-based or AI-driven tooling to accelerate testing, data pulls, or infrastructure operations