Jobs Kyiv, ML / AI

Description
As an ML Engineer, your role will be participating in field service 
accelerator development. The Field Service Engagement Accelerator is AI-driven solution designed to enhance customer interactions and service delivery in field service operations. This  accelerator leverages the latest advancements in machine learning, data processing, and cloud infrastructure to provide a customizable, scalable platform that can be rapidly deployed across multiple customers. This is greenfield project.

Key responsibilities include:
-Template Pipeline Development: Design and implement a flexible template 
pipeline that can be customized and deployed per customer. This pipeline will manage user input, integrating with LLMs using AWS Textract, AWS Connect, and agentic workflows.
-Building Data APIs: Develop robust APIs that interface with user engagement channels, capturing and processing inputs via AWS Textract and AWS Connect.
-Ingestion Pipeline Creation: Design and implement metadata-driven template ingestion pipeline that automates the loading of public data both web and documents (word, pdfs). This pipeline will support the creation of a multimodal knowledge base, which will be critical for customer-specific deployments.
-MLOps Integration: The project includes a comprehensive MLOps framework to manage the end-to-end lifecycle of machine learning models. This includes continuous integration and delivery (CI/CD) pipelines for model training, versioning, deployment, and monitoring. Automated workflows ensure that models are kept up-to-date with the latest data and are optimized for performance in production environments.
-Real-Time Engagement: With AWS services such as API Gateway, Lambda, and WebSocket, the accelerator supports real-time updates and asynchronous streaming, enhancing user engagement and reducing the risk of abandonment during interactions.
-Advanced Monitoring and Analytics: Integrated with AWS CloudWatch, 
QuickSight, and other monitoring tools, the accelerator provides real-time insights into performance metrics, user interactions, and system health. This allows for continuous optimization of service delivery and rapid identification of any issues.
-RAG Workflows: Establish Retrieval-Augmented Generation (RAG) workflows that leverage knowledge bases built on Kendra or OpenSearch. This includes integrating various data sources, such as corporate documents, inspection checklists, and real-time external data feeds.
Scalable and Customizable Solutions: Ensure that both the template and 
ingestion pipelines are scalable, allowing for adjustments to meet specific customerneeds and environments. This involves setting up RAG workflows, knowledge bases using Kendra/OpenSearch, and seamless integration with customer data sources.
-End-to-End Workflow Automation: Automate the end-to-end process from user input to response generation, ensuring that the solution leverages AWS services likeBedrock Agents, CloudWatch, and QuickSight for real-time monitoring and analytics.
 

Skills
Must have:
-Data engineering background is a must.
-Metadata driven data processing workflows (must have for lead, nice to have for developer)
-ML engineering background is a must, experience building ML pipelines, 
packaging and optimizing models, fine-tuning, packaging, serving.
-Strong expertise in AWS data and ML services
-Strong experience building data pipelines with Python

Nice to have:
-Experience or at least non-commercial experience with LLMs and agents.
-Langchain or similar
-AWS Bedrock
-AWS Bedrock knowledge bases
-Textract experience or any OCR experience related to document processing

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).

• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

   

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.

Fine-tuning, LoRA tuning, model distillation, and quantization.

• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.

• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

   

We offer you:

• Having the capability to create something new and witness your own input.
• You can find confidence in the future here, but rest assured it won't be dull. 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Full-time employment contract.
• Multisport (light). 
• Paid vacation, sick leave.

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

Skylum allows millions of photographers to make incredible images. Our award-winning software automates photo editing with the power of AI yet leaves all the creative control in the hands of the artist.

Join us on our mission to make photo editing enjoyable, easy, and accessible to anyone. You’ll be developing products with innovative technologies, providing value and inspiration for customers, and getting inspired in return.

Thanks to our incredible team of experts, we’ve built a collaborative space where you can constantly develop and grow in a supportive way. At the same time, we believe in the freedom to be creative. Our work schedule is flexible, and we trust you to give your best while we provide you with everything you need to make work hassle-free. Skylum is proud to be a Ukrainian company, and we stand with Ukraine not only with words but with actions. We regularly donate to various organizations to help speed up the Ukrainian victory.

Role Mission: 

We are looking for a strong Machine Learning Engineer who can build and improve ML models used in our product. Most of the tasks are related to computer vision and image processing. You will work on both common tasks like segmentation, detection, and classification, as well as more complex problems involving Diffusion Models, LLMs, VLMs, and other custom tasks without ready-made solutions.

You should be able to work independently, move fast, and quickly test new ideas.

What You Will Do

• Build and improve ML models, mostly for computer vision tasks.
• Handle the full ML process: collect and prepare data, train and test models, and improve them step by step.
• Work on both standard and new types of problems.
• Create fast prototypes and help turn successful ones into real products.
• Work closely with other teams to bring your models into the product.

What We’re Looking For

• 3+ years of real-world experience with ML, including at least 2 years in computer vision.
• Good understanding of how to build ML systems from start to finish.
• Hands-on experience with one or more of these: object detection, segmentation, img2img, generative networks.
• Ability to read, understand, and implement ideas from cutting-edge research papers. You stay current with top conferences (e.g., CVPR, NeurIPS, ICCV) and can turn academic innovations into practical solutions.
• Strong skills in Python and PyTorch.
• Experience optimizing models for efficient inference on local devices (CPU, GPU, NPU), including quantization, pruning, and runtime adaptation.
• Able to work with and explore large datasets.
• Comfortable working on your own and taking full responsibility for your tasks. Experience with prototyping and working in an R&D cycle.

Nice to Have

• Experience in research (PhD, papers, or personal projects).
• Experience training or fine-tuning foundational models (LLMs, VLMs).
• Experience training or fine-tuning diffusion models for specific image generation or enhancement tasks.
• Familiarity with classical image processing techniques.
• Experience with deep learning inference frameworks like ONNX Runtime, OpenVINO, Core ML, or others.
• Strong C++ skills, close to your Python level.
• Enjoy building and testing product ideas quickly.

What we offer:

For personal growth:

• A chance to work with a strong team and a unique opportunity to make substantial contributions to our award-winning photo editing tools;
• An educational allowance to ensure that your skills stay sharp;
• English and German classes to strengthen your capabilities and widen your knowledge.

For comfort:

• A great environment where you’ll work with true professionals and amazing colleagues whom you’ll call friends quickly;
• The choice of working remotely or in our office space located on Podil, equipped with everything you might need for productive and comfortable work.

For health:

• Medical insurance;
• Twenty-one days of paid sick leave per year;
• Healthy fruit snacks full of vitamins to keep you energized.

For leisure:

• Twenty-one days of paid vacation per year;
• Fun times at our frequent team-building activities.

If you are looking forward to working with true professionals and simply amazing people & product — we are waiting for your CV!

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.
 

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance

• Research and apply state-of-the-art deep learning methods in computer vision

   

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

 Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

Quantum is a global technology partner delivering high-end software products that address real-world problems.

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Senior Data Science / LLM Engineer. The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.”

Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 4+ years of commercial experience as a Data Science Engineer
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• 2+ years of experience with LLM and Natural Language Processing-related tasks
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

About the project:

We are building a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees search, analyze, and generate internal documents. The long-term goal is to extend AI Assistant capabilities across all company departments.

To strengthen our team, we are looking for an experienced ML Architect (Azure AI / RAG) who will design and implement the machine learning architecture, integrate AI models, and ensure production-level performance and reliability.

Responsibilities:

• Design and implement AI architecture on Microsoft Azure (Azure ML, Cognitive Search, OpenAI, Databricks). 
• Build and manage RAG pipelines (Retrieval-Augmented Generation) and vector search systems. 
• Develop and optimize ML pipelines for embeddings, data preprocessing, and model evaluation. 
• Collaborate with DevOps and Data Engineer teams to ensure seamless integration and deployment. 
• Establish and maintain MLOps practices (model versioning, evaluation, monitoring). 
• Define and track AI performance metrics (latency, precision, recall, cost per request). 
• Create documentation (ADR, architecture diagrams, experiment tracking).

Requirements:

• 3+ years of experience in Machine Learning / AI / Data Engineering. 
• Strong background with Microsoft Azure ML / Cognitive Search / Databricks / OpenAI. 
• Proficiency in Python, FastAPI, LangChain / LlamaIndex, MLflow, Airflow. 
• Hands-on experience with vector databases (FAISS, Pinecone, pgvector, Cognitive Search). 
• Understanding of RAG, embeddings, prompt optimization, LLM orchestration. 
• Experience building MLOps / CI-CD for ML models in production. 
• English — Upper-Intermediate+ (for documentation and collaboration).

Will be a plus:

• Experience with Azure OpenAI Service, Azure Document Intelligence. 
• Knowledge of data governance, PII protection, cost optimization. 
• Background in AI-driven enterprise automation or corporate assistants.

We offer:

• Opportunity to design a core AI architecture from scratch and influence all key technical decisions. 
• Participation in a high-impact AI transformation project that scales across multiple departments. 
• Remote or hybrid work format, flexible schedule. 
• Transparent B2B / contract cooperation. 
• Supportive and technically strong team (DevOps, Data, Product).

How to apply:

Send your CV.
We will contact you shortly.

Job Description:

• 4+ years of experience as an AI/ML Engineer or in a similar data-intensive role
• Hands-on expertise in AI/ML pipelines and model lifecycle management
• Strong experience in data curation, feature engineering, and preparing datasets for ML
• Proven track record integrating ML solutions into CI/CD pipelines
• Experience training, fine-tuning, evaluating, and deploying ML models in production environments
• Proficiency in Python for ML integration and automation
• Knowledge of Jira or other issue tracking systems
• Upper-intermediate English proficiency (spoken and written)

Job Responsibilities

• Lead AI-driven initiatives to integrate smart automation into CI/CD pipelines, accelerating development and reducing manual overhead
• Curate, annotate, and optimize datasets to train models that improve engineering processes
• Build recommendation systems and fine-tune models to enhance team decision-making and workflow efficiency
• Implement AI-based Jira issue triaging to streamline task management
• Collaborate closely with developers and product teams to embed ML solutions that deliver measurable impact

Department/Project Description

We are seeking a highly skilled AI/ML Engineer to lead the digital transformation of our software development and testing workflows.

Our client is a leading American multinational information technology corporation, headquartered in California, USA, recognized as one of the world's largest companies in the IT sector. The company specializes in developing and manufacturing computing, data storage, and networking hardware, alongside designing software and delivering services. Their major product lines include personal computing devices, enterprise servers, and a diverse range of printers and imaging products.

The project involves the development of a comprehensive software package for a large OEM vendor. This software is designed for both enterprise and consumer environments and is installed on endpoint devices. It integrates various cutting-edge services, such as AI companion tools, workplace management solutions, and Smart Office integration.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set, working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

About the job Lead ML/AI Engineer

For our client, we are looking for a Senior AI/ML Engineer to join an AI project and drive the design, development, and optimization of cutting-edge retrieval-augmented generation (RAG) solutions.
 

About the Role

This role is ideal for a highly skilled engineer passionate about AI/ML systems, distributed architectures, and vector search technologies. You will play a key role in designing scalable inference stacks, optimizing retrieval pipelines, and integrating modern frameworks into production-grade applications.
 

Requirements

• 5+ years of experience in software engineering, preferably with AI/ML or distributed systems.
• Proven hands-on experience with retrieval-augmented generation (RAG) systems.
• Deep knowledge of OpenSearch, Elasticsearch or similar search engines.
• Strong coding skills in Python.
• Experience with LlamaIndex, LangChain.
• Familiarity with vector databases (Pinecone, Qdrant, FAISS).
• Exposure to LLM fine-tuning, embeddings, semantic search, prompt engineering.
• Background in high-scale systems handling millions of users/queries daily.
• Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
• Experience with vector search, embedding pipelines, dense retrieval techniques.
• Strong optimization skills for latency, reliability, and scalability.
• Excellent problem-solving, analytical, and debugging skills.
• Proactive self-starter with ownership mindset.
• Passion for impactful technology aligned with Geniusees mission.
• Bachelors degree in Computer Science or equivalent practical experience.
• English: Upper-Intermediate+.
   

Responsibilities

• Design, build, and scale production-grade inference stacks for RAG-based applications.
• Develop efficient retrieval pipelines with OpenSearch/vector DBs ensuring high recall & relevance.
• Optimize performance and latency for real-time and batch queries.
• Identify and fix bottlenecks to improve system efficiency and response times.
• Ensure observability, monitoring, and reliability of deployed systems.
• Collaborate with teams to integrate LLMs and retrieval components into applications.
• Evaluate and integrate modern RAG frameworks and tools.
• Mentor team members, support architectural decisions, and uphold engineering excellence.
• Contribute to pre-sales activities (NFR elicitation, solution architecture, risk definition).
• Conduct discovery phases and recommend tools/libraries.
• Lead/support code reviews, POCs, and R&D.
• Interview external candidates and provide ad hoc troubleshooting.

What You Will Get

• Competitive compensation & performance-based bonus - 5000 -7000 USD
• Exciting AI startup projects with a modern stack.
• Career development opportunities (regular reviews).
• Professional study support, certifications, and corporate English.
• VIP medical insurance or sports coverage.
• Paid vacation (18 days) and sick leave.
• Flexible working hours (start 8:00 - 11:30).
• Unlimited remote work worldwide + cozy offices in Kyiv & Lviv with Starlink & generator.
• Compensation for coworking (outside Kyiv & Lviv).
• Corporate lunch, team buildings, soft skills clubs.
• Informal and friendly work culture, no micromanagement.
• Own charity fund.

We are seeking an AI Engineer with a strong software engineering background, proficient in Python and modern cloud-native technologies. The ideal candidate has hands-on experience with Snowflake, BigQuery, or AWS data platforms and solid expertise in data engineering, including ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, and medallion architecture and design.

Experience with machine learning best practices such as model training, evaluation, and weighting is essential.

Responsibilities

• Design, develop, and deploy scalable AI and machine learning models.
• Build and maintain data pipelines and ETL processes using Spark, Spark Streaming, and related tools.
• Ensure high data quality and implement medallion architecture design principles.
• Collaborate with data scientists, engineers, and product teams to translate requirements into technical solutions.
• Implement best practices for model training, evaluation, and performance tuning.
• Develop, integrate, and maintain AI agents and conversational AI solutions where applicable.

Requirements

• Strong software engineering skills (Python, cloud-native stacks)
• Hands-on experience with Snowflake, BigQuery, or AWS data platforms
• Solid data engineering experience (ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, medallion architecture)
• Knowledge of machine learning best practices (model training, evaluation, weighting)

Nice to have

• Experience building AI agents (Langchain, Langgraph, OpenAI Agents, PydanticAI)
• Experience building conversational AI agents (AI chats, Evaluation-Driven Development)

About the Role:

We are looking for a Machine Learning Intern passionate about robotics, robot arms, and applying machine learning to control and perception. In this role, you’ll work on the foundations of our robot learning stack and have the opportunity to influence fundamental technical decisions. You’ll also get hands-on experience with cutting-edge robotic systems, building and demonstrating impressive robot manipulation capabilities using various hardware platforms.

What You’ll Do:

• Collaborate with the team during daily check-ins to align on goals and progress.
• Contribute to the development of the machine learning stack: implementing new features, debugging, and optimization.
• Collect, curate, and filter data (automatically or manually, depending on the task).
• Train neural network policies for robotic arms.
• Work on computer vision components within the robot learning framework.
• Document, schedule, and evaluate experiments.

What We’re Looking For:

• Programming experience (preferably in Python)
• Projects or work experience
• Basics of: linear algebra, calculus (derivatives), probability, and statistics.

What Makes You Stand Out:

• Practical experience with deep learning frameworks (PyTorch, JAX).
• Familiarity with robot arms (inverse kinematics, control fundamentals).
• Background in data analysis, computer vision, statistics, or optimal control.

Who You Are:

• Enthusiastic about robotics and machine learning.
• A proactive problem solver, willing to raise a hand when stuck, ask questions, and offer help.
• A team player with strong communication skills and openness to feedback.
• Flexible and adaptable to changing priorities and technical directions.

Department/Project Description

Client is a leading medtech company building AI-enabled products; as an AI Engineer you will design, develop, and deploy advanced AI applications focused on LLMs, API-driven architectures, and AI-powered local apps, collaborating with cross-functional teams to deliver scalable, secure, high-performing solutions that enhance user experience and operational efficiency.



Job Description

• Bachelor’s/Master’s in Computer Science, AI/ML, or related field
• 2+ years of experience in AI/ML engineering with hands-on work in LLMs and generative AI
• Strong Python skills; experience with LangChain, Hugging Face Transformers, and/or OpenAI API
• Proven experience designing and building APIs (REST/GraphQL, FastAPI) and microservices
• Experience building RAG pipelines and working with vector databases
• Hands-on with cloud platforms (Azure/AWS/GCP) and containerization (Docker, Kubernetes)
• Ability to design, fine-tune, and evaluate LLMs; strong prompt engineering practices
• Familiarity with AI deployment/inference pipelines (on-prem and cloud)
• Understanding of data privacy, security, and compliance in AI systems
• Clear, concise communication and documentation skills; ability to collaborate across functions
• English: fluent (B2+) spoken and written
   

Job Responsibilities

• Design, develop, and deploy AI applications leveraging LLMs for real-world use cases
• Build retrieval-augmented generation (RAG) solutions integrating external knowledge bases
• Design and implement secure, scalable APIs for AI services and platform integration
• Fine-tune LLMs for domain-specific tasks; define prompts, evaluation, and guardrails
• Implement AI inference pipelines across on-prem and cloud environments (Azure/AWS/GCP)
• Integrate AI features into local and enterprise applications in partnership with product/engineering
• Monitor and optimize model accuracy, latency, reliability, and cost in production
• Document approaches, experiments, and decisions; communicate findings to technical/non-technical stakeholders
• Track emerging AI technologies and recommend best practices for adoption

Trinetix is looking for a skilled AI-Native Engineer.

We are building an AI-native ecosystem that will power both our internal SDLC and the next generation of AI-driven solutions for our clients. Our R&D organization is developing context-aware AI agents, intelligent engineering tools, and graph-based knowledge systems that integrate directly into real development workflows. 

This initiative will reshape how software is planned, built, tested, and evolved—unlocking entirely new capabilities for our teams and our clients’ product engineering organizations. 

Requirements 

• Hands-on experience building RAG systems, vector search, or semantic pipelines. 
• Familiarity with knowledge graphs (Neo4j, RDF, property graphs, graph DBs). 
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini, Llama, etc.). 
• Understanding of embeddings, text processing, chunking strategies, and retrieval optimization. 
• Experience building developer tooling, internal tools, plugins, or automation. 
• Ability to design and prototype systems independently. 

Nice-to-Have 

• Experience building agentic systems (AutoGen, LangGraph, crewAI, smolagents, function-calling agents, etc.). 
• Experience implementing GraphRAG or similar graph-structured retrieval approaches. 
• Familiarity with AI-powered SDLC tools (copilots, code intelligence, static analysis via LLM). 
• Understanding of software architecture and system design. 
• Experience with CI/CD pipelines, DevOps tooling, or platform engineering. 
• Ability to create ontologies or domain data models. 
• Experience working in R&D would be preferable. 

Core Responsibilities 

• Designing the core models and abstractions that will underpin our AI-native engineering ecosystem. 
• Developing intelligent mechanisms to surface the right information at the right time. 
• Creating assistive capabilities that streamline engineering tasks and workflows. 
• Driving innovation in how software teams interact with knowledge, context, and automation. 

• Collaborating across the organization to embed AI into the end-to-end delivery process. 

   

What We Offer 

• Opportunity to build a first-of-its-kind AI-native SDLC environment 
• Chance to influence engineering workflows across the entire company 
• Work within a high-impact, exploratory R&D team 
• Competitive compensation and growth opportunities 
• Full autonomy to prototype, test, and implement ideas 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture 

About WPP Media & Choreograph, GlobalLogic customer for this position. 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About Choreograph: A Leading WPP Media Brand
Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact
 

You will lead the development of Advanced Analytics Platforms, starting with Marketing Mix Modelling (MMM). This role involves creating robust system that enable data acquisition, modelling frameworks integration and displaying of MMM Outputs.

Additionally, you will oversee the addition of AI into the system and the incorporation into the platform. The focus of this role is to direct the team to accomplish the business goals and assist the team hands-on when needed.

What you will do: 

• Lead the creation and implementation of Advanced Analytics systems for effective incorporation of Advanced analytics, including but not limited to MMM and Measurement methodologies.
• Design a robust architecture and system that supports the integration with other areas, like the Measure platform for data acquisition.
• Oversee the development of the reporting output layer to standardize the Platform results and make them easily accessible and usable for analytics purposes.
• Understand the integration points with modelling frameworks and how to better provide a user experience that caters from analysts to data scientists.
• Work closely with other teams in the client ecosystem like TechOps, DevOps, QA, MLOps and Data Scientists, to fulfil the needs of the Platform within the client standards.
• Identify, evaluate, and integrate AI technologies in the process of QA and data preparation.
• Help with hands-on coding in a full-stack capacity.
• Ensure all the advanced analytics processes comply with organizational data governance standards and regulatory requirements.

Requirements: 

Our client believes in the power of their culture and people. It’s what elevates them to deliver exceptional experiences for both their clients and each other. In this role, it will be critical to embrace their shared core values:

• Be Extraordinary by Leading Collectively to Inspire Transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Hard skills: 

• Extensive experience in application development, preferably as a full-stack development member, particularly in systems that required framework integration, data integration, and reporting areas.
• Demonstrated experience in leading the development and implementation of systems and system architecture in a large enterprise.
• Extensive experience in designing enterprise architecture, especially in creating systems comprised of independent components.
• Skilled in adopting cutting-edge technologies and methodologies, especially with an AI focus, to improve data prep, QA and reporting outputs.
• Full-stack knowledge of software development in Front-End and Back-End technologies. Preferably, REACT for Front-End and Python for Back-End. API integration with other frameworks is key in this position.
• Knowledge of Marketing Mix Modelling (MMM) and/or similar data science methodologies is a plus.

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Trinetix is looking for a skilled AI-Native Engineer (Context Engineering & SDLC Intelligence)

We are building an AI-native ecosystem that will power both our internal SDLC and the next generation of AI-driven solutions for our clients. Our R&D organization is developing context-aware AI agents, intelligent engineering tools, and graph-based knowledge systems that integrate directly into real development workflows.

This initiative will reshape how software is planned, built, tested, and evolved—unlocking entirely new capabilities for our teams and our clients’ product engineering organizations.

Requirements

· Hands-on experience building RAG systems, vector search, or semantic pipelines.

· Familiarity with knowledge graphs (Neo4j, RDF, property graphs, graph DBs).

· Experience working with LLM APIs (OpenAI, Anthropic, Gemini, Llama, etc.).

· Understanding of embeddings, text processing, chunking strategies, and retrieval optimization.

· Experience building developer tooling, internal tools, plugins, or automation.

· Ability to design and prototype systems independently.

Nice-to-Have

· Experience building agentic systems (AutoGen, LangGraph, crewAI, smolagents, function-calling agents, etc.).

· Experience implementing GraphRAG or similar graph-structured retrieval approaches.

· Familiarity with AI-powered SDLC tools (copilots, code intelligence, static analysis via LLM).

· Understanding of software architecture and system design.

· Experience with CI/CD pipelines, DevOps tooling, or platform engineering.

· Ability to create ontologies or domain data models.

· Experience working in R&D would be preferable.

Core Responsibilities

· Designing the core models and abstractions that will underpin our AI-native engineering ecosystem.

· Developing intelligent mechanisms to surface the right information at the right time.

· Creating assistive capabilities that streamline engineering tasks and workflows.

· Driving innovation in how software teams interact with knowledge, context, and automation.

· Collaborating across the organization to embed AI into the end-to-end delivery process.

What We Offer

· Opportunity to build a first-of-its-kind AI-native SDLC environment

· Chance to influence engineering workflows across the entire company

· Work within a high-impact, exploratory R&D team

· Competitive compensation and growth opportunities

· Full autonomy to prototype, test, and implement ideas

· Professional training and English/Spanish language classes

· Comprehensive medical insurance

· Mental health support

· Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more

· Flexible working hours

· Inclusive and supportive culture

About Us

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world.

Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.

Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.

To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice

We are looking for an AI/ML Engineer to own and evolve our AI core: tuning local LLM models, designing and optimizing RAG pipelines, improving answer quality, and boosting performance across different hardware profiles (from powerful servers to more constrained environments).

Experience in cybersecurity will be a strong advantage.

Key Responsibilities

• LLM tuning and adaptation
  • Fine-tune / LoRA / PEFT local models for our domain (cybersecurity, log data, detection rules, flows).
  • Design and improve prompt engineering, system instructions, and configurations for stable, predictable answers.
  • Analyze and reduce hallucinations, implement guardrails and safety mechanisms.
• RAG and knowledge workflows
  • Design and implement RAG pipelines: chunking strategies, embeddings, indexing, reranking, and multi-step retrieval.
  • Integrate vector databases.
  • Build and track quality metrics for RAG (precision/recall on Q&A sets, domain-specific qualitative evaluation).
• Performance & latency optimization
  • Profile and optimize model inference for different hardware setups (CPU/GPU, various memory/compute limits).
  • Apply quantization, pruning, distillation (e.g., 4-bit/8-bit quantization, GPTQ, AWQ) to speed up inference.
  • Implement caching strategies, batching, and efficient query patterns for vector DBs and LLM gateways.
• Product integration
  • Work closely with the backend team to deploy models to production (REST/gRPC services, microservices).
  • Set up MLOps pipelines: automated deployment, monitoring, A/B testing of models and configurations.
  • Participate in the design of new AI features for SOC analysts, detection engineers, and threat researchers.
• Evaluation & experimentation
  • Run experiments to compare models, architectures, and configurations.
  • Build and maintain datasets (including synthetic data) for training, fine-tuning, and benchmarking.
  • Maintain clear technical documentation for models, pipelines, and evaluation frameworks.

Requirements

• 3+ years of experience as an ML Engineer / AI Engineer / Data Scientist working with production ML systems.
• Strong Python skills; experience with PyTorch / TensorFlow / JAX (preferably PyTorch).
• Practical experience with LLMs / NLP:
• working with open-source models (OSS, Llama, Mistral, Gemma, Qwen, etc.);
• adapting, fine-tuning, or instruction-tuning models.
• Experience building RAG solutions:
• embeddings (OpenAI, SentenceTransformers, or local embedding models);
• vector databases search.
• Solid understanding of core ML concepts: optimization, regularization, evaluation, and handling noisy real-world data.
• Experience with Docker, databases, Git, and CI/CD.
• Ability to read and write technical documentation in English (Intermediate+ level).

Strong Pluses

• Background in cybersecurity, for example:
• hands-on work with SIEM / SOAR / XDR platforms;
• understanding of log sources (Windows Event Logs, Sysmon, EDR), MITRE ATT&CK, detection rules (Sigma, YARA, etc.).
• Experience building AI solutions that:
• generate or transform code, queries, or detection rules;
• process large volumes of technical documentation and reports.
• Hands-on model optimization:
• distillation, quantization, mixed-precision inference, and GPU profiling.
• Contributions to open-source projects or notable personal projects in LLM/AI.
  
  Soft Skills:
   
• Ability to work independently, strong analytical thinking
• Team player with a sense of responsibility

• Willingness to participate in code reviews, refactoring, and writing technical documentation

   

   

  What We Offer:
   

• Competitive salary
• Paid annual leave
• Medical insurance
• Minimum bureaucracy
• Remote work
• Work in a product company
• Team of strong IT professionals working in a vibrant product environment.
  
  Working conditions:
   
• 5-day work week
• 8-hour working day (flexible schedule).