Жұмыс орындары

• Formulate AI strategy and roadmap for the business direction
• Identify the most promising applications of AI
• Independently launch initial prototypes and AI pilots
• Quickly test hypotheses and demonstrate measurable results
• Create AI agents, RAG solutions, and AI automation
• Form and prioritize a portfolio of AI initiatives
• Collaborate with FDE and AI team to bring successful pilots to production and scaling
• Reimagine business processes considering AI capabilities
• Work with business leaders to advocate for AI initiatives
• Stay updated on AI technology developments and apply new approaches in real business cases.

• 7+ years of professional experience in AI/ML technologies, product development, or digital transformation
• Practical experience in launching AI/ML or technology products
• Strong understanding of LLM, Generative AI, AI Agents, and RAG
• Ability to independently assemble a working AI prototype
• Product mindset and focus on quick results
• Strategic thinking and ability to form AI roadmap
• Ability to connect technologies with specific business effects
• Experience working with executives and top management
• High independence and responsibility for results
• Practical experience with OpenAI, Claude, Gemini, Llama, Qwen, or similar LLM
• Experience with LLM API, Prompt Engineering, Tool/Function Calling
• Experience creating AI agents using LangChain, LangGraph, LlamaIndex, or similar
• Practical understanding of RAG, embeddings, vector databases
• Use of AI coding tools: Codex, Cursor, Claude Code, or similar
• Proficiency in Python, REST API, SQL for prototype development
• Expe

• Conduct meetings with potential and existing clients
• Build relationships with senior stakeholders and key decision-makers
• Identify client needs and potential use cases for QData solutions
• Gather, structure, and maintain business and project requirements
• Prepare presentations, proposals, and project-specific materials
• Develop project concepts together with Product and Technical teams
• Analyze client business processes and identify relevant solution scenarios
• Prepare initial project descriptions, requirements, and documentation
• Document agreements, next steps, deadlines, and responsibilities
• Maintain up-to-date statuses across potential and ongoing projects
• Coordinate communication between clients and internal teams during the project development stage
• Support pilot projects, commercial proposals, and tender-related materials
• Guide projects through to handover for implementation

• 3+ years of experience in Project Management, Business Development, Pre-sales, Consulting, or a related field
• Experience working directly and independently with clients
• Strong ability to conduct meetings, identify needs, and structure business requests
• Strong negotiation, presentation, and communication skills
• Ability to gather and formalize requirements
• Ability to manage multiple projects and requests simultaneously
• Strong analytical skills and the ability to quickly understand new business domains
• Proactive, responsible, and results-oriented mindset
• Higher education

• Experience working with government, quasi-government organizations, national companies, or large enterprise clients
• Experience preparing technical requirements, co

• Lead architecture and hands-on implementation of a production RAG / knowledge platform
• Build document ingestion for Google Workspace, PDFs, scans, tables, and images
• Implement permission-aware retrieval with ACL enforcement at query time
• Build hybrid search, embeddings, reranking, and citation-backed generation
• Deploy and benchmark open-weight models using vLLM or similar infrastructure
• Build evaluation/regression systems for retrieval, answer quality, security, and model upgrades
• Own production deployment, observability, CI/CD, documentation, and handoff
• Work directly with Eventum’s senior team and client technical leadership

• 6+ years of professional software/ML engineering experience
• Strong experience building production LLM/RAG systems
• Excellent Python/backend engineering skills
• Hands-on experience with embeddings, vector search, reranking, and document pipelines
• Experience serving open-weight LLMs with vLLM, SGLang, Triton, TGI, or similar
• Strong cloud/infrastructure skills; Azure, Docker, Terraform/Kubernetes, and CI/CD are especially relevant
• Experience with LLM evaluation and production reliability
• Comfortable owning ML, backend, data, and infrastructure rather than working in a narrow specialty

• Google Workspace APIs and permissions
• pgvector/Qdrant
• BM25 + dense retrieval
• OCR/document AI
• multimodal models
• Prometheus/Grafana
• no-egress or security-sensitive environments

• Develop and maintain interactive dashboards in Apache Superset
• Write and optimize complex SQL queries, create data marts
• Customize dashboards (Jinja, CSS, Python)
• Implement AI/ML solutions for analytics and forecasting
• Interact with clients, gather requirements, and present results

• Higher technical/IT education
• At least 2 years of experience as a BI developer
• At least 1 year of experience with Apache Superset
• Advanced SQL skills
• Experience with PostgreSQL/ClickHouse/MS SQL
• Knowledge of Python (Pandas, SQLAlchemy)
• Understanding of DWH and data modeling

Optional requirements:
• Experience in AI/ML analytics
• Power BI/Tableau
• Airflow
• Experience in pharmaceuticals or public sector

• Design and build multi-agent systems
• Integrate LLMs with internal tools and services
• Develop backend services and APIs for agent workflows
• Implement RAG pipelines and tool/function calling
• Build CLI-based agent workflows and automation tools
• Build computer vision pipelines: object detection, multi-object tracking, person re-identification
• Develop multi-camera multi-person tracking across camera networks
• Work with real-time video streams and GPU inference optimization

• Node.js ecosystem (Express.js)
• Python
• Experience with LLM APIs and prompt engineering
• Experience with RAG, tool calling, or agent frameworks
• Familiarity with Docker, Linux, and Git
• PyTorch and OpenCV
• Object detection and multi-object tracking (YOLO, ByteTrack / BoT-SORT or similar)
• Person re-identification and vector search (Milvus / FAISS)
• Video processing: ffmpeg / GStreamer, RTSP, hardware decoding

• NLP, ML experience
• Open-source LLM deployment or inference optimization
• Vision-language models (VLM)
• TensorRT / ONNX Runtime

• Design, train, fine-tune, evaluate, and implement generative models for applications with images, video, text, and multimodal data
• Improve visual quality of image and video generation: prompt adherence, spatial alignment, character and object consistency, temporal consistency
• Research and implement methods for controlling LLM: instruction tuning, structured generation, constrained decoding, tool usage, safety mechanisms, preference optimization
• Create evaluation systems for LLM: instruction execution, reliability, factual accuracy, tool usage accuracy, robustness against adversarial prompts
• Optimize training and inference pipelines for latency, throughput, memory usage, and infrastructure costs
• Build scalable data processing, training, fine-tuning, and real-time inference pipelines
• Integrate generative models into production systems in collaboration with engineers
• MLOps: automate testing, deployment, monitoring, rollback, and model retraining
• Analyze recent research in generative AI and assess its practical value

• At least 3 years of experience in machine learning and software development
• Extensive hands-on experience in developing/deploying generative AI models
• Deep understanding of diffusion models and image/video generation architectures
• Experience with LLM: prompting, fine-tuning, evaluation, structured outputs, tool invocation
• Hands-on experience with PyTorch or TensorFlow
• Experience transitioning models from prototype to production, operating inference services
• Experience deploying models on GPU servers and cloud platforms
• Strong Python skills and software development: testing, monitoring, debugging, optimization

• Experience with RLHF, DPO, reinforcement learning, instruction tuning
• Experience with constrained decoding, function call

• Oversee the full order assembly cycle including processes, staffing, operational quality, training, and onboarding
• Manage e-commerce assortment representation and content to ensure customer visibility of available products
• Scale operations by connecting existing stores and launching e-commerce in new locations
• Define requirements for the order assembly app and collaborate with IT and product teams for its development
• Manage the P&L of the operations department, overseeing order cost and unit economics
• Analyze reporting, dashboards, and operational metrics for e-commerce
• Lead a team of regional and operational managers (10+ people)
• Facilitate cross-functional collaboration with retail, logistics, commerce, and IT departments

• 3+ years of experience in operations management in e-grocery, e-commerce retail, or express delivery
• Experience managing a team of at least 10 people, including second-level managers
• Practical knowledge of order cost management and unit economics
• Experience with dark stores or in-store assembly at a scale of thousands of orders per day
• Understanding of courier logistics including slots, promises, routing, batching, and working with 3PL/aggregators
• Proficient in data analysis and BI systems
• Experience in setting tasks for IT/product teams

• Identify and attract new clients in local and international markets
• Conduct negotiations with banks, fintech companies, crypto platforms, telecoms, and government organizations
• Deliver product presentations and solution demonstrations
• Identify client needs and select appropriate technological solutions
• Manage the entire sales cycle from initial contact to contract signing
• Prepare commercial proposals and participate in tenders
• Utilize CRM and manage personal sales funnel
• Achieve sales plans and KPIs
• Participate in industry conferences and international events

• 1-3 years of B2B sales experience
• Fluent English (minimum B2) for negotiations and presentations
• Experience in selling IT, SaaS, FinTech, AI, or Enterprise solutions
• Higher education
• Strong communication skills and result orientation
• Ability to organize work independently
• Analytical thinking and high level of business communication
• AI-first approach with experience using AI tools like Claude AI, ChatGPT, GitHub Copilot, and others

Optional requirements:
• Technical education in IT, Computer Science, Data Science, Mathematics, Telecommunications, Engineering
• Experience in biometrics, Digital Identity, eKYC, AML, Fraud Prevention
• Understanding of Face Recognition, Liveness Detection, OCR, Anti-Spoofing, KYC, and AML principles
• Network of c