Jobs ML / AI

OTAKOYI is looking for a smart and eager Senior AI Engineer to join our project team. We like challenges and self-development. If you like it too, don’t hesitate, join us!

Our Partner has an advanced, enterprise-grade agentic AI platform that centralizes intelligence, knowledge, and task automation across ecosystem. Built to enhance productivity, orchestrate complex workflows, and provide proactive insights, it is more than a chatbot—it’s an AI-powered front-end for the company's digital transformation. The platform also underpins another application known as Studio AI, for which this role will also be responsible.

This is a pivotal role, responsible for defining and executing the long-term AI strategy, owning system architecture, and providing strong technical direction to evolve the platform. If you have a passion for building transformative AI solutions, excel in strategic thinking, and thrive in taking architectural ownership — this role offers the opportunity to make a lasting impact.
The ideal candidate will bring a unique mix of visionary thinking, deep technical expertise, and hands-on experience, capable of driving Navigator and Studio AI’s next phase of innovation through technical leadership and architectural excellence.
 

Required Skills 

• Deep AI Expertise: Deep knowledge of machine learning techniques, NLP, LLMs, and data-driven AI architectures, with hands-on experience designing and deploying complex AI systems;
• AI Tech Stack: Proficiency with AI development tools and frameworks such as Azure ML, PyTorch, TensorFlow, LangChain, and transformer-based models;
• Cloud Infrastructure: Advanced experience with Azure-based cloud ecosystems and Kubernetes-based orchestration for scalable AI workloads;
• Production-Grade AI Systems: Experience with vector search (e.g., Milvus), real-time APIs, embedded analytics, and third-party integrations (e.g., MS Graph API, Copilot Studio);
• System Design and Architecture: Expertise in designing scalable, secure, and fault-tolerant AI systems, including familiarity with microservices, API management, and real-time data processing;
• Technical Communication: Ability to clearly articulate architectural decisions, technical trade-offs, and AI roadmaps to cross-functional stakeholders;
• Strategic Mindset: Strong analytical and strategic thinking skills, with the foresight to anticipate future AI trends and an understanding of how to apply them to a multi-functional platform like Navigator;
• Upper-Intermediate level of English is mandatory.

Preferred Skills 

• Industry Experience: Experience within a large, matrixed organization,
preferably in technology or a related industry;
• Experience with AI-driven Multi-Modal Systems: Knowledge of systems integrating chat, voice, visual data, and embedded dashboards is a plus;
• Enterprise AI Context: Familiarity with compliance, governance, and scalability considerations in deploying AI in enterprise environments;
• Project Management: Experience with prioritization and execution in agile settings (without direct team ownership).

Responsibilities 

• Vision & Strategy: Develop and continuously refine the long-term vision , driving innovation, user-centricity, and strategic alignment with Company's broader business goals;
• AI & System Architecture: Lead the design and development of AI-driven architecture, ensuring scalability, robustness, and cutting-edge technology integration across ML, NLP, data pipelines, and automation components;
• Cross-Functional Collaboration: Partner closely with stakeholders from product, design, engineering, and business units to ensure Navigator’s roadmap aligns with business needs and delivers tangible value across Company;
• Platform Innovation: Keep Navigator at the forefront of technology by
incorporating emerging trends in agentic AI, multi-modal interfaces, generative AI, and autonomous orchestration;
• Quality & Performance Optimization: Establish benchmarks for platform performance, reliability, and security. Regularly review and refine Navigator’s core systems to ensure peak performance and user satisfaction;
• User Experience Focus: Drive a user-first approach, ensuring that Navigator’s functionality and interface support intuitive and seamless interactions for Company's employees, partners, and customers;
• Vendor & Technology Management: Evaluate and manage strategic relationships with third-party vendors, especially in areas like NLP, Microsoft integrations (e.g., Copilot), and cloud infrastructure (Azure), to leverage the best available technology.

Recruitment process 

1. Pre-screening Interview with Recruiter (up to 45 minutes)
2. Tech Interview (up to 1,5 hour)
3. Client Interview (up to 45 minutes)

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior ML Engineer to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
 

Responsibilities:

• Build, maintain, and optimize end-to-end MLOps pipelines for machine learning workflows.
• Deploy, monitor, and scale machine learning models in production environments.
• Implement CI/CD pipelines for ML workflows and model lifecycle management.
• Manage and optimize ML infrastructure using Docker, Kubernetes, and cloud platforms.
• Collaborate closely with Data Scientists and Engineering teams to productionize ML models.
• Ensure reliability, monitoring, and performance of ML systems in production.
• Maintain best practices for model versioning, experiment tracking, and reproducibility.

Job requirements

Must-Have:

• Senior-level experience in Machine Learning / MLOps engineering
• Strong programming skills in Python
• Hands-on experience with ML frameworks such as:
  • TensorFlow
  • PyTorch
  • scikit-learn
• Experience with MLOps platforms/tools such as:
  • MLflow
  • Kubeflow
  • TFX or similar
• Experience implementing CI/CD pipelines using tools such as:
  • Jenkins
  • GitLab CI
  • CircleCI
• Strong experience with containerization and orchestration:
  • Docker
  • Kubernetes
• Experience deploying and managing ML solutions on cloud platforms (AWS, GCP, or Azure)
   

Nice to Have:

• Experience with big data technologies such as:
  • Apache Spark
  • Hadoop
  • Kafka
• Experience with data visualization tools:
  • Tableau
  • Power BI

About

EdSpan is an innovative company in the EdTech space, building cutting-edge learning experiences for the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. We are currently working on three major projects:

AI tutoring experience — an innovative project that brings real-time interaction with a 3D animated assistant powered by LLM technology. This virtual tutor helps students navigate challenges, provides guidance, and enhances the learning journey in a playful and engaging way.

Tutorpeers – a peer-to-peer tutoring platform with a young teachers marketplace, event booking features and Zoom-like online sessions with additional interactive learning tools.

Spark Incubator – LMS-like system designed to teach kids entrepreneurship.

We have well-defined processes, trying to automate routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other Scrum artifacts. We keep the number of meetings to a minimum so that engineers can focus on writing high-quality code and delivering cool features.

Who you are

We’re hiring our first AI/ML Engineer to lead the development of our AI agents, including prompting, the RAG and evaluation pipelines, potential fine-tuning. So, you’ll play a key role in shaping the technical direction. We’re seeking someone with a strong understanding of machine learning and NLP fundamentals, capable of tackling complex challenges in agentic workflows and optimizing model performance across the stack.

Requirements

• At least 4 years of experience in the field of Machine Learning, working as a Data Engineer, Data Scientist, Machine Learning Engineer, or in a similar role.
• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience;
• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn);
• In-depth knowledge of machine learning principles, understanding of LLM architectures, prompt optimization, and fine-tuning strategies;
• Skilled in designing and optimizing RAG pipelines, including embedding generation, sparse and dense retrieval, and hybrid search techniques;
• Familiar with LLM evaluation metrics and tools (BLEU, RAGAS, DeepEval, and other);

• Upper-Intermediate level of English (B2) or above.

   

Highly desireable

• Proven experience building AI-driven workflows using frameworks such as LangGraph, AutoGen, or similar orchestration tools;

• Knowledge of AWS cloud and MLOps.

   

Responsibilities

• Design, implement, and optimize LLM prompts to ensure reliable outputs;
• Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
• Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
• Leverage agent orchestration tools to improve and automate AI workflows;
• Collaborate with the product team to ensure AI capabilities power usable product features.

We are looking for an AI Ethics Specialist to help ensure that our AI systems are designed, developed, and deployed responsibly. In this role, you will evaluate AI models and processes to identify potential ethical risks, bias, and compliance concerns. You will collaborate with engineering, legal, and product teams to implement frameworks that ensure ethical, transparent, and trustworthy AI solutions.

Details

Location: Remote (Europe)
Employment Type: Full-time / Contract
Start Date: ASAP
Language Requirements: English – Upper-Intermediate or higher

Key Responsibilities

Develop and implement ethical AI frameworks and governance policies.

Evaluate AI systems for bias, fairness, transparency, and accountability.

Collaborate with engineering teams to ensure responsible AI practices during model development.

Conduct risk assessments for machine learning models and AI products.

Monitor regulatory developments related to AI governance and compliance.

Design processes for ethical review and auditing of AI systems.

Provide training and guidance on responsible AI principles across the organization.

Requirements

3+ years of experience in AI governance, ethics, compliance, or policy.

Strong understanding of machine learning systems and AI technologies.

Knowledge of AI risk management, bias detection, and model transparency techniques.

Familiarity with emerging regulations such as the EU AI Act and global AI governance frameworks.

Strong analytical and communication skills.

Nice to Have

Experience working with AI research teams or data science teams.

Background in law, public policy, computer science, or data ethics.

Familiarity with model auditing tools and fairness metrics.

Experience implementing Responsible AI policies in production environments.

We are seeking an experienced AI Platform Engineer to design and maintain the infrastructure that powers machine learning and AI systems at scale. You will build the internal platforms and tools that enable data scientists and engineers to train, deploy, and monitor models efficiently. This role focuses on building reliable, scalable, and secure AI infrastructure.

Details

Location: Remote (Europe)
Employment Type: Full-time / Contract
Start Date: ASAP
Language Requirements: English – Upper-Intermediate or higher

Key Responsibilities

Design and maintain AI/ML platforms and infrastructure for model development and deployment.

Build scalable pipelines for training, serving, and monitoring machine learning models.

Implement MLOps best practices including CI/CD pipelines for AI systems.

Optimize compute infrastructure for model training and inference workloads.

Ensure reliability, scalability, and observability of AI services.

Work closely with data scientists and AI engineers to improve productivity and platform usability.

Maintain security and compliance standards for AI infrastructure.

Requirements

4+ years of experience in software engineering or DevOps.

Strong experience with Python, Go, or similar backend languages.

Experience with containerization and orchestration (Docker, Kubernetes).

Familiarity with MLOps frameworks and tools.

Experience building data pipelines and distributed systems.

Knowledge of cloud platforms (AWS, GCP, Azure).

Strong understanding of system scalability and performance.

Nice to Have

Experience with Kubeflow, MLflow, Airflow, or similar platforms.

Familiarity with GPU workloads and distributed training systems.

Experience working with vector databases or LLM infrastructure.

Knowledge of observability tools such as Prometheus and Grafana.

Background supporting data science teams.

We are looking for a talented AI Engineer to join our growing engineering team and help build intelligent systems powered by modern machine learning and generative AI technologies. You will design, develop, and deploy AI-powered features that enhance products, automate workflows, and deliver data-driven insights. This role is ideal for engineers who enjoy working at the intersection of software engineering, machine learning, and scalable cloud infrastructure.

Details

Location: Remote (Europe)
Employment Type: Full-time / Contract
Start Date: ASAP
Language Requirements: English – Upper-Intermediate or higher

Key Responsibilities

Design and implement AI-powered applications and services.

Develop and deploy machine learning and generative AI models.

Integrate LLM APIs (OpenAI, Anthropic, open-source models) into products and internal tools.

Build data pipelines and systems to support model training and inference workflows.

Optimize model performance, latency, and cost efficiency.

Collaborate with product, engineering, and data teams to translate business needs into AI solutions.

Monitor and maintain AI systems in production environments.

Requirements

3+ years of software engineering experience.

Strong proficiency in Python.

Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.

Experience integrating LLMs or generative AI solutions.

Knowledge of data processing and model deployment workflows.

Familiarity with cloud platforms (AWS, GCP, or Azure).

Strong understanding of software architecture and APIs.

Nice to Have

Experience with LangChain, LlamaIndex, or AI orchestration frameworks.

Knowledge of vector databases (Pinecone, Weaviate, FAISS).

Experience with RAG architectures.

Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).

Experience building AI agents or automation systems.

Requirements

Overall:
Strong knowledge of Python, TensorFlow or PyTorch.
Bachelor's degree in Computer Science (or related field).
Experience with Machine Learning, Gen AI and Computer Vision.
Experience with python web services.
Experience with cloud ML deployment.
Strong understanding of model training, evaluation, and optimization.
Experience with AWS or GCP or Azure

LLM:
Experience with LLAVA or ChatGPT or LLAMA or Gemini.
Fine-tuning open-source LLMs.
Deploying open-source LLMs.
Familiar with agents.

Computer Vision:
Expertise with tracking, keypoint/pose estimation, action recognition, and depth estimation.
Experience in image and video processing using OpenCV.
Hands-on experience with YOLO and Transformer-based architectures for vision tasks.

Will be a plus:
Data Version Control for Big Datasets.
Optimizing models for edge devices.
C++, Java knowledge a plus

Other:
Ability to multi-task, organize, and prioritize work effectively.
Upper Intermediate or higher level of English proficiency.

What We Offer:
- Competitive salary based on experience and skills.
- Flexible working hours and the possibility to work remotely.
- Opportunities for professional growth and career advancement.
- Friendly and collaborative team environment.
- Access to the latest technologies and tools.

 

We are an international developer of IT products for medicine and related services. Our products are used by more than 5,000 doctors and more than 1,000 clinics in Europe.

The goal is to attract the largest possible audience to the main projects - clinics and doctors up to 3 million. As well as expanding unique traffic to 10 million per day until 2025. We are looking for AI Engineer / AI Architect with deep knowledge of Fundamental Mathematics, Probability Theory and Bayesian Statistics, Graph Algorithms, Mathematics of Transformers, Hybrid AI Approaches, Uncertainty Assessment.

Must-have skills are:
1. ML and Data Science (Core):
- Expert in NLP & LLM: Deep understanding of Transformers architecture (BERT, RoBERTa, GPT, T5, Llama/Mistral). Experience with Large Language Models (LLM) – not prompt engineering, but fine-tuning (PEFT, LoRA) of open-source models on specific datasets.
- RAG (Retrieval-Augmented Generation): Experience building RAG systems is required. The AI ​​must be able to search for information in different data sources.
- Named Entity Recognition (NER) & Information Extraction: Ability to extract specific entities from unstructured text.
- Tabular Data & Classic ML: Confident use of classical algorithms (XGBoost, CatBoost, LightGBM) for analyzing structured data and building probability scoring models.
- Frameworks: PyTorch (preferred) or TensorFlow/Keras. Proficiency in HuggingFace, Scikit-learn, Pandas, and NumPy.

2. MLOps:
- Experience wrapping models in APIs (FastAPI, Flask) with minimal latency. 

- Docker knowledge and experience working with local GPU instances are required.
- Experience working with vector databases (Pinecone, Milvus, Qdrant, ChromaDB) for quickly searching for similar cases or working with knowledge bases.

- ML Pipelines: Experience building model training and retraining pipelines (Airflow, MLflow, DVC).

3. MedTech and Security:
- Practical working experience with sensitive personal data and GDPR/DSGVO requirements.

- It is important to be able to deploy and optimize local models (Llama 3, Mistral, Mixtral) within a closed company environment to ensure data privacy.
- Skills in quantization and distillation of models to speed up work without significant loss of quality.

Nice-to-have skills:
- Experience working specifically with medical data (EHR, EMR; HL7, FHIR, ICD-10/11 standards). 

- Knowledge of Interpretability/Explainable AI (XAI) methods. The end user should understand why the AI ​​suggested a particular option (SHAP, LIME).

- Experience with multimodal models.

What we offer:
- Paid holiday for 28 working days.
- Transparent incentive system.

Working with us means:
- Unique technological and innovative projects.
- Gaining experience in modern western world practices in security, scalable architecture, etc.
- In-depth knowledge of telemedicine.
- Working with Big data, high load, distributed computing and data buses.
- Socially important projects.
- Opportunity to influence both technology and product solutions.
- Profitability and stability of a large European company.

About the Role

We are looking for an experienced Voice AI Agents Engineer who will be responsible for building, testing, and improving AI voice agents used in our products and internal tools.

This role focuses specifically on the development of Voice AI agents — systems that can understand speech, process user intent, and respond naturally using modern AI models.

You will work closely with the product and engineering teams to design reliable and scalable voice interactions, experiment with new technologies, and continuously improve the performance of our AI agents.

Responsibilities

• Design, build and maintain Voice AI agents
• Develop pipelines for speech-to-text, LLM processing, and text-to-speech
• Test and improve conversation flows and voice interaction quality
• Integrate voice agents with internal systems, APIs, and business tools
• Monitor performance and optimize response quality, latency, and reliability
• Experiment with new AI models and voice technologies
• Work closely with product managers and developers to ship AI-driven features

Requirements

• 1.5+ years of hands-on experience building Voice AI agents
• Strong experience with LLMs and AI agent architectures
• Experience working with speech-to-text and text-to-speech systems
• Solid programming skills (Python or Node.js)
• Experience integrating AI systems with APIs and external services
• Understanding of conversational AI design and dialogue systems
• Ability to independently design and implement AI-driven solutions

Nice to Have

• Experience with telephony or real-time voice systems
• Experience with frameworks for building AI agents
• Experience with prompt engineering and evaluation pipelines
• Experience with cloud platforms (AWS, GCP, or similar)

What we offer

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us here: www.rounds.com.

THE ROLE

We’re looking for a passionate AI engineer to join our dynamic AI Innovation Team, which is the driving force behind technological advancement in our company. Here, you will use cutting-edge AI technologies to boost productivity and make extraordinary ideas a reality.

We're excited to meet someone who is AI-obsessed, has a strong sense of product ownership, is ready to take initiative and who is full of creative ideas. If this sounds like you, we want you to join our team!

Hiring manager: Alik Hochner - CTO, Ori Nahum - AI Innovation Team Lead 

KEY RESPONSIBILITIES

• Develop and maintain high-quality AI solutions for both internal teams and external users.
• Architect sophisticated AI agents, including multi-agent systems.
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Collaborate across diverse teams to boost developer productivity.
• Continuously explore the evolving AI landscape and identify impactful tools for company growth.
• Shape the company’s best practices and guidelines for AI usage.

WHAT ARE WE LOOKING FOR?

Must-have:

• 5+ years experience in software development (preferably in Python or TypeScript).
• Skilled in prompt engineering and have a strong understanding of how LLMs work internally.
• Proven track record in developing AI agents from scratch and implementing effective AI solutions for businesses.
• Basic DevOps proficiency (CI/CD, Cloud).
• Quick learner who adapts effortlessly to new tools and approaches.
• Passionate and knowledgeable about current AI trends and best practices.
• Excellent English communication skills.

HOW DO WE WORK?

We are a distributed team of more than 150 people, all working remotely and communicating partially synchronously (we usually overlap with our teams for 5 hours daily and are free to work on some of the tasks whenever it suits us best). We value open communication, proactivity and work/life balance and we measure our freelancers on performance, rather than on the time spent on the job.

WHAT’S IN IT FOR YOU? 

• 100% remote work model
• Flexible full-time working hours 

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview and Take-home challenge presentation with CTO and AI Engineer Tech Lead: 1 hour

We are seeking a highly technical Machine Learning Engineer to work onsite with a client team in Kyiv, supporting multiple customers and delivering production-grade ML solutions.

This role has a strong emphasis on ML Ops, model deployment, and computer vision, with additional exposure to Palantir Foundry (pipelines and UI). The successful candidate will be comfortable working independently in environments with uncertain or evolving requirements, while collaborating closely with both onsite and remote teams.

Key Responsibilities:
 

• Design, develop, train, fine-tune, and deploy machine learning models into production environments.
• Build and maintain ML Ops pipelines, including model versioning, deployment, monitoring, and retraining.
• Develop and support computer vision solutions for real-world business use cases.
• Work with structured and unstructured data to deliver scalable ML solutions from PoC → MVP → Production.
• Use Docker to containerize ML workloads and ensure portability and reproducibility.
• Contribute to and maintain Palantir Foundry pipelines and UI components (prior experience strongly preferred; training can be provided).
• Collaborate with cross-functional teams (engineering, product, client stakeholders) both onsite and remotely.
• Clearly communicate technical approaches, trade-offs, and results to non-technical stakeholders.
• Proactively drive progress and decision-making, even when requirements are ambiguous.
• Analyze data to find patterns and create machine learning solutions for challenging business issues
• Understand the AI/ML program journey to formulate relevant high impact business questions that can be answered through data analysis.
   

Required Skills & Experience:
 

• 3+ years of hands-on experience in Machine Learning, including model training, fine-tuning, and deployment, production ML systems
• Strong experience with Docker for ML workloads.
• Proficient with ML Ops concepts (CI/CD for ML, model lifecycle management, monitoring).
• Hands-on experience with PyTorch, TensorFlow, Keras, advanced Python skills (NumPy, Pandas, Scikit-learn, etc.).
• Experience working with cloud platforms (AWS, Azure, or similar).
• Familiarity with SQL for data analysis.
• Ability to work independently and take ownership of delivery.
• Fluency in English (spoken and written).
• Strong interpersonal skills with the ability to translate client requests into technical solutions and explain complex ML topics succinctly to technical and non-technical audiences

Strongly Preferred / Nice to Have:
 

• Prior experience with Palantir Foundry:Data pipelines, Foundry applications / UI
• Experience with computer vision use cases.
• Experience working in agile delivery environments.

We are looking for an experienced AI Solution Architect to lead the design and delivery of scalable AI solutions built on Microsoft Azure. In this role, you will work closely with business stakeholders, customers, and engineering teams to transform complex requirements into robust AI architectures and production-ready solutions.

You will play a key role in defining architecture standards, guiding delivery teams, and supporting pre-sales initiatives in a consulting-driven environment.
 

Key Responsibilities

AI Solution Architecture

• Lead the end-to-end design of AI solutions based on Microsoft Azure
• Translate business and functional requirements into scalable and secure technical architectures
• Design and validate AI architectures including Retrieval-Augmented Generation (RAG) solutions
• Define and enforce architecture standards, best practices, and governance
   

Technical Leadership

• Act as a trusted technical advisor for customers, internal stakeholders, and delivery teams
• Provide technical leadership and quality oversight throughout the delivery lifecycle
• Support pre-sales activities, including solution design, estimations, and technical proposals
   

Solution Design & Delivery

• Design integrations with Azure AI services and enterprise systems
• Create architecture diagrams, solution blueprints, and technical documentation
• Lead development and validation of PoCs and pilot implementations
• Contribute hands-on to coding, testing, and CI/CD pipeline configuration
   

Required Experience & Skills

• Strong experience designing end-to-end AI solutions on Microsoft Azure in a consulting environment
• Proven background in AI solution architecture, including Generative AI and RAG-based architectures
• Hands-on experience with Azure AI services, including:
  • Azure OpenAI
  • Azure AI Search
  • Azure Cognitive Services
• Solid understanding of Azure PaaS services and cloud architecture principles
• Experience creating architecture diagrams, technical blueprints, and solution estimates
• Experience building PoCs and pilot solutions
• Hands-on experience with coding, testing, and CI/CD pipelines
• Strong communication skills and ability to work as a technical advisor for customers and delivery teams
   

Nice to Have

• Experience in a Tech Lead role
• Experience working in factory-mode delivery environments
• Background in enterprise AI transformation projects

Numerical Technologies, a leading provider of software development and consultancy services for financial institutions, is looking for talented people experienced in Math and Python who will be responsible for development, testing, implementation, debugging and support of sophisticated financial applications.

Joining Numerical Technologies is a unique chance that provides the opportunity to work alongside experienced professionals on impactful, quantitative projects across North and South America, Europe, the Middle East, Africa, CIS and South Asia. This position is a chance to work hand-in-hand with expert quantitative researchers and quantitative engineers to create and implement research and simulation tools that leverage existing automated trading software and sophisticated statistical techniques and technologies.

Do you enjoy the process of problem solving, a process where you recognize areas of improvement and iterate and innovate to improve? Does your curiosity and desire to learn drive you? If this sounds like you, don't miss this opportunity to gain valuable experience in a highly competitive and demanding fintech industry.

What are we looking for?

◼️ Deep understanding of Applied Mathematics: Probability Theory and Statistics, Numerical Methods, Linear Algebra, Optimization

◼️ Bachelors, Masters or Phd in Physics, Mathematics, Statistics; or equivalent experience (we also welcome students)

◼️ At least 0.5 year of commercial experience as a Python Developer

◼️ Practical experience with AI technologies, particularly in applying them to solve real-world business problems
◼️ Basic understanding of NLP concepts
◼️ Familiarity with LLMs, embeddings, vector databases, and RAG architectures

◼️ Willingness to learn together with a team of professionals
◼️ Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)

◼️ Knowledge with Git, Jira, and Confluence

◼️ Excellent communication skills

◼️ Intermediate and higher level of English.

Please mention in your application any participation or awards in mathematics, physics, or programming Olympiads.

What will you be doing?

◼️ Collaborating with cross-functional teams to develop AI-driven solutions that address specific business challenges.

◼️ Continuously learning and staying updated on the latest AI technologies and best practices, applying this knowledge to improve existing projects.  

What additional skills will help you stand out?

◼️ Experience in Machine Learning

◼️ Participation in Kaggle competitions

◼️ Experience working at a financial institution

◼️ Experience working with cloud platforms (AWS, Azure)

We offer:

◼️ Competitive compensation depending on experience and skills

◼️ Regular assessments and salary reviews

◼️ Compensation for sick lists and regular vacations

◼️ Health insurance

◼️ English classes with certified English teachers

◼️ Flexible working schedule

◼️ Friendly team and enjoyable working environment

◼️ Comfortable, spacious office within 10 min from all three Metro lines.

◼️ Corporate and social events.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's platform is designed to work with sales representatives and automate as much of their work as possible, in order to allow them to connect with their clients and make their communications faster. The company also provides intelligence to team managers with performance insights, allowing them to coach their sales reps more effectively.

About the role:
As a Machine Learning Engineer in the Conversational Intelligence Team you will be responsible for building systems that process real-time audio and text streams from Knowledge AI Assistant. You will build scalable machine learning platforms and systems to handle large quantities of data. Engineer low-latency and high-throughput ML systems that must scale for growing business.

Responsibilities:
- Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights for customers
- Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs
- Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control
- Working with stakeholders to make sure our customers have the tools they need to be successful on our platform
- Finding quick ways to prototype and test possible solutions to large problems
- Looking across the stack for the best return on investment for any given pain point.

Requirements:
- 4+ experience in Machine Learning sphere
- 2+ years of experience working with Natural Language Processing.
- Experience with cloud-based data platforms and continuous-deployment projects
- Experience with implementing machine learning pipelines
- Willing to go above and beyond to help other team members
- Ability to prioritize details along a path of iterative delivery
- Ability to quickly ramp up new technologies and start contributing.

Desirable:
- Experience with Go
- Experience building platforms from scratch

We offer:
- Competitive salary and perks; annual satisfaction survey and performance review
- Paid vacation and 100% paid sick leaves
- Work in a creative friendly environment using cutting-edge technologies
- Technical and product leadership opportunities