Вакансии epam kazakhstan (эпам казахстан),тоо: работа в IT и digital

Вакансии компании epam kazakhstan (эпам казахстан),тоо в IT и digital за последние 30 дней. Направления найма, города и форматы работы. Дубли объединены. HireSeeker — независимый агрегатор вакансий.

Найдено: 5. Обновлено .

Города с вакансиями

  • Астана3
  • Алматы2
  • Ташкент1

Страны с вакансиями

  • Казахстан4
  • Узбекистан1

Форматы работы

  • Удалённая работа3
  • Гибрид1
  • Офис1
hh.ru
epam kazakhstan (эпам казахстан),тоо
Зарплата не указанаКазахстанАлматыАстанаУдалёнка
Локации (удалёнка):АлматыАстана

Удалённая работа — географически не привязана. Щёлкни по любой из локаций, чтобы открыть оригинальную карточку.

We are searching for a skilled, innovation-driven Lead AI Engineer to join our team and spearhead the development of cutting-edge Generative AI solutions. If you're passionate about artificial intelligence and adept at building systems that deliver measurable business impact, this opportunity is ideal for you. You will work with a dynamic group of professionals to create and deploy AI-driven technologies that tackle real-world challenges — all within a highly collaborative, supportive, and forward-focused environment.

As a technical leader, you won't just write code; you will shape our AI technical roadmap, architect complex enterprise-grade systems, act as a trusted advisor to our clients, and mentor and grow a high-performing engineering team.

If you love Python, Natural Language Processing (NLP), and driving innovation at the intersection of AI strategy and software craftsmanship, we want to hear from you!

Responsibilities:

  • Drive technical vision and architecture by leading the design and implementation of highly scalable, robust enterprise AI applications, including complex multi-agent workflows, custom search engines, and end-to-end AI systems

  • Partner closely with clients and business stakeholders to translate business goals into technical roadmaps and recommend high-impact, feasible LLM-driven solutions

  • Establish engineering standards by setting the benchmark for code quality, architectural patterns, robust data pipelines, smart prompt management, and automated evaluation frameworks

  • Foster a culture of learning and high performance through design reviews, development best practices, and active mentorship of junior and senior developers

  • Direct R&D and innovation by guiding research on emerging models, framing prototyping strategies (PoCs), and standardizing the tools and frameworks used to stay on the bleeding edge of Generative AI

Requirements:
  • 5+ years of experience in a Lead, Principal, or Senior AI/Software Engineering role, with a track record of architecting and shipping complex, production-grade AI or ML-based solutions

  • At least 1 year of relevant leadership experience

  • Master-level proficiency in Python (specifically FastAPI or equivalent web frameworks) and a strong foundation in core NLP concepts (semantic similarity, tokenization, NER, text classification)

  • Expertise in modern Generative AI design patterns, particularly RAG (Retrieval-Augmented Generation), autonomous multi-agent networks, and tool integration

  • Production experience with major LLM APIs (OpenAI, Anthropic, Bedrock, Gemini) and framework orchestration tools such as LangGraph or LlamaIndex

  • Background in optimizing AI applications for performance, security (prompt injection mitigation, data privacy), cloud costs, and system evaluation using programmatic or LLM-as-a-judge approaches

  • Capability to quickly direct and build intuitive UI/UX prototypes using Streamlit, Gradio, or equivalent

  • Outstanding leadership and communication skills to lead engineering discussions, bridge the gap between technical and non-technical audiences, and present technical architectures to executives and clients

  • Strong English communication skills (B2 level or higher)

Conditions:​​​​​​​
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home 
  • Opportunity to work abroad for up to two months per year 
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events   
  • Leadership development, career advising, soft skills and well-being programs 
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers 
  • Discounts in local language schools, including online courses for the Kazakh language
  • Medical & family care package   
  • Six trust days per year (sick leave without a medical certificate)   
  • Benefits package (sports activities, a variety of stores and services)
  • Housing support program: preferential mortgage access via Otbasy Bank partnership
hh.ru
epam kazakhstan (эпам казахстан),тоо

Senior Data Integration Engineer

epam kazakhstan (эпам казахстан),тооАвтоподнятие
Зарплата не указанаКазахстанАлматыГибрид

We are seeking a Senior Data Integration Engineer with expertise in data management, integration, and cloud-based technologies.

This role requires a solution-oriented professional passionate about creating and delivering advanced data systems. If you excel in cloud infrastructures and value precision, we encourage you to apply!

This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.

Responsibilities

  • Design Data Integration solutions leveraging classic, modern, or hybrid cloud data tools
  • Collaborate with product and engineering teams to define requirements, evaluate new features, and make architectural decisions
  • Address business challenges by developing technical solutions aligned with quality and technical standards
  • Perform code reviews and execute testing processes to ensure alignment with technical specifications
  • Deliver comprehensive documentation for architectural designs and technical implementations

Requirements

  • Advanced knowledge of Data Integration tools such as Azure Data Factory, AWS Glue, and GCP Dataflow
  • Background in working with relational databases and programming tools including SQL, Python, PySpark
  • Proficiency in managing cloud platforms like AWS, Azure, or GCP to build scalable data environments
  • Understanding of Data Security principles, modern Data Management practices, and CI/CD workflows
  • Expertise in methodologies for data modeling, including OLAP, OLTP, ETL, and Data Warehousing
  • Capability to articulate complex ideas effectively with proficiency in English

We offer

  • We connect like-minded people: :
    • Delivering innovative solutions to industry leaders, making a global impact
    • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
    • Opportunity to work abroad for up to two months per year
    • Relocation opportunities within our offices in 55+ countries
    • Corporate and social events
  • We invest in your growth:  :
    • Leadership development, career advising, soft skills and well-being programs
    • Certifications, including GCP, Azure and AWS
    • Unlimited access to LinkedIn Learning and Get Abstract
    • Free English classes with certified teachers
    • Discounts in local language schools, including online courses for the Kazakh language
  • We cover it all: :
    • Participation in the Employee Stock Purchase Plan
    • Monetary bonuses for engaging in the referral program
    • Medical & family care package
    • Six trust days per year (sick leave without a medical certificate)
    • Coverage of psychology sessions of your choice
    • Benefits package (sports activities, a variety of stores and services)

EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.

hh.ru
epam kazakhstan (эпам казахстан),тоо

Senior AI Engineer

epam kazakhstan (эпам казахстан),тооАвтоподнятие
Зарплата не указанаКазахстанАстанаУдалёнка

We are looking for a forward-thinking Senior GenAI Developer passionate about cutting-edge AI technologies and skilled at creating transformative generative AI solutions.

This role offers the rare opportunity to design and deploy state-of-the-art AI systems that redefine industry standards, fostering significant business impact while contributing to innovation in a dynamic environment.

This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.

Responsibilities

  • Translate complex business challenges into generative AI solutions, steering workflows through phases like PoC, MVP, and production readiness
  • Design and build robust pipelines for data processing, including tokenization, text normalization, and document structuring tailored to generative AI systems
  • Select and fine-tune large language models or other generative AI models, leveraging APIs, open-source tools, and tailored methodologies for specific use cases
  • Develop compelling RAG pipelines, agent-centric workflows, and multi-model systems that address intricate business requirements
  • Craft effective prompt engineering strategies with techniques such as zero-shot, few-shot, and chain-of-thought prompting for reliable outputs
  • Create modular evaluation frameworks for AI solutions, including metrics focused on accuracy, latency, groundedness, and cost-efficiency
  • Integrate generative AI into scalable production systems in collaboration with engineers, product managers, and other stakeholders
  • Optimize trade-offs between cost, performance, and scalability for AI systems deployed in cloud-native or on-premises environments
  • Ensure compliance with ethical AI guidelines by incorporating explainability, security, and privacy practices into solutions
  • Educate cross-functional teams and clients on leveraging generative AI to maximize business impact

Requirements

  • 3+ years of experience in data science roles with end-to-end delivery of machine learning solutions, knowledge of CRISP-DM workflow, and distinctions between data science and software engineering approaches
  • Proficiency in Python and frameworks/libraries including NumPy, pandas, PyTorch or TensorFlow, Hugging Face Transformers, and LangChain
  • Understanding of generative AI concepts with hands-on experience in LLMs, RAG pipelines, and relevant APIs for services like Azure OpenAI or AWS Bedrock
  • Practical knowledge of NLP techniques and decision-making to determine when to use classical or generative AI methods
  • Demonstrated success in backend application development using tools such as FastAPI or Flask and interactive demo creation with Streamlit or Gradio
  • Background in deploying AI models using Docker, MLflow, and integrating vector databases such as Qdrant, FAISS, or Chroma into workflows
  • Familiarity with LLM-specific security risks like prompt injection and knowledge of appropriate mitigation strategies
  • Clear communication skills to bridge the gap between technical and non-technical audiences
  • Proactivity in continuous learning to stay ahead in the fast-evolving generative AI landscape
  • Collaborative mindset with strong ability to guide and inspire cross-functional teams

Nice to have

  • Familiarity with advanced methods like RLHF, multi-modal AI, or fine-tuning on large datasets
  • Experience applying techniques such as knowledge distillation or quantization for latency optimization
  • Background in human evaluation processes, including annotation workflows or integrating LLMs as evaluators
  • Competency in onboarding enterprise clients onto generative AI platforms and systems

We offer

  • We connect like-minded people: :
    • Delivering innovative solutions to industry leaders, making a global impact
    • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
    • Opportunity to work abroad for up to two months per year
    • Relocation opportunities within our offices in 55+ countries
    • Corporate and social events
  • We invest in your growth:  :
    • Leadership development, career advising, soft skills and well-being programs
    • Certifications, including GCP, Azure and AWS
    • Unlimited access to LinkedIn Learning and Get Abstract
    • Free English classes with certified teachers
    • Discounts in local language schools, including online courses for the Kazakh language
  • We cover it all: :
    • Participation in the Employee Stock Purchase Plan
    • Monetary bonuses for engaging in the referral program
    • Medical & family care package
    • Six trust days per year (sick leave without a medical certificate)
    • Coverage of psychology sessions of your choice
    • Benefits package (sports activities, a variety of stores and services)

EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.

hh.ru
epam kazakhstan (эпам казахстан),тоо

Senior Data Software Engineer (Big Data Engineer)

epam kazakhstan (эпам казахстан),тооАвтоподнятие
Зарплата не указанаКазахстанАстанаУдалёнка

We are seeking an open-minded Senior Data Software Engineer to drive the development and maintenance of our data-driven architecture.

In this role, you will work on developing pipelines to build business-related data products and designing cloud-based platform solutions to support DataHub functionality. If you’re passionate about shaping the future of data engineering and thrive in an environment where innovation and collaboration are key, we invite you to join us.

This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.

Responsibilities

  • Design and implement data pipelines

  • Perform data ingestion processes to integrate existing data sources into the new platform

  • Participate in platform engineering, including cloud-based solutions to support the architecture, such as ingestion frameworks, platform orchestrators and exploratory environments

  • Conduct MLOps activities to build production-ready cloud-based solutions to support existing ML pipelines

  • Take part in the design of on-premises to cloud migration activities

Requirements

  • Strong production experience in Java, Python or Scala

  • Proficiency in SQL

  • Understanding of common Big Data challenges (splitability, massive parallel processing, load-balancing, data locality, streaming, etc.) and relevant technologies (Apache Spark, Kafka, NoSQL databases)

  • Familiarity with data modeling concepts such as relational/dimensional data, SCD and snowflaking

  • Hands-on production experience with any major cloud provider: Azure, AWS or GCP

  • B2 English level, both verbal and written

  • Hands-on production experience with any major cloud provider: Azure, AWS or GCP

Nice to have

  • Competency in common data-related architectures such as Data Hub or Data Lake

  • Knowledge of Databricks

We offer/Benefits

We connect like-minded people:

  • Delivering innovative solutions to industry leaders, making a global impact 
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home 
  • Opportunity to work abroad for up to two months per year 
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events   

We invest in your growth: 

  • Leadership development, career advising, soft skills and well-being programs 
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Udemy
  • Free English classes with certified teachers 
  • Discounts in local language schools, including online courses for the Kazakh language

We cover it all:

  • Participation in the Employee Stock Purchase Plan 
  • Monetary bonuses for engaging in the referral program 
  • Medical & family care package   
  • Six trust days per year (sick leave without a medical certificate)   
  • Coverage of psychology sessions of your choice
  • Benefits package (sports activities, a variety of stores and services)

EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.

hh.ru
Зарплата не указанаУзбекистанТашкентОфис

EPAM is looking for an experienced Senior AI Python Engineer to join our Python Department in Uzbekistan.

Responsibilities

  • Design AI-driven applications with Python frameworks such as Django, Flask, or FastAPI

  • Architect scalable cloud-based infrastructures for AI solutions

  • Deploy optimized Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Generative AI features into production-level systems

  • Translate business needs into robust AI solutions through collaboration with cross-functional teams

  • Solve complex problems across technical, infrastructural, and production environments

  • Write well-documented, high-quality code compliant with industry standards

  • Adopt emerging technologies in Python, cloud platforms, and AI practices to advance innovation in development

Requirements

  • Expertise in software development with Senior- to Architect-level experience, ensuring hands-on coding and implementation proficiency

  • Background in Python frameworks like Django, Flask, and FastAPI, as well as practical integration of AI functionalities

  • Competency in Generative AI with proven production experience in prompt engineering and fine-tuning models

  • Understanding of Large Language Models and Retrieval Augmented Generation

  • Proficiency in AWS, Azure, or Google Cloud Platform with hands-on implementation of cloud solutions

  • Strong problem-solving capabilities paired with collaborative teamwork experience

  • Excellent communication ability to articulate technical ideas effectively to diverse audiences

  • Passion for advancing in Generative AI and contributing to organizational and client AI projects

Nice to have

  • Experience with Kubernetes, Docker, and microservices in Cloud Native architectures

We offer/Benefits

We connect like-minded people:

  • Delivering innovative solutions to industry leaders, making a global impact
  • Opportunity to work abroad for up to two months per year

We invest in your growth:

  • Leadership development, career advising, soft skills and well-being programs
  • Unlimited access to LinkedIn Learning and Get Abstract
  • Free English classes with certified teachers

We cover it all:

  • Comprehensive medical & family care package
  • Seven trust days per year (sick leave without a medical certificate)
  • Discounts from 800+ partners (sports activities, restaurants, stores and services)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here, you will collaborate with multi-national teams, contribute to numerous innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. No matter where you are located, you will join a dedicated, creative, diverse community to help you discover your fullest potential.

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Показываем активные предложения IT и digital, опубликованные за последние 30 дней. Дубли объединяем. Условия и наличие вакансии могут измениться после обновления: проверяйте их перед откликом.