Senior AI Engineer

Epam Kazakhstan (Эпам Казахстан),ТОО·Астана·30 авг.

Senior AI Engineer

Ориентир по рынку≈ 3 600 – 4 700 $наша приблизительная оценка по 9 вакансиям этой роли и грейда, у работодателя вилка не указана

🌍 УдалённоMiddleПолная занятость

≈ 3 600 – 4 700 $наша приблизительная оценка

Стоит ли откликаться

Стоит откликнуться, но спросите про деньги

Сумму в объявлении не указали. Сколько платят за похожую работу, видно в разборе. Вакансия живая, задачи расписаны.

3 из 4 в норме

Зарплата не указана: ваша цель, нижняя граница и фраза для первого созвона

Деньги

Зарплату в объявлении не раскрыли. Ориентир на созвон: столько платят в 9 похожих вакансиях ML Engineer уровня Middle.

платят меньше3 600 – 4 700 $ у половины таких вакансийплатят больше

Вилки нет

Живость

Висит 52 дня, признаков фиктивного найма нет. Повторных публикаций не было.

Живая

Описание

Расписано подробно: обязанностей 10, требований 14. Картина ясна до первого созвона.

Обещают: уроки английского
Не сказано: как оформят, из каких стран можно работать и часовой пояс команды

Подробно

Что требуют

ОбязательноAIMLPythonNumPyPandasPyTorchTensorFlowHugging FaceLangChainLLM

Надбавка к зарплате на этом уровне: Python +43%.

Ясно

Полный разбор в Pro

Это короткий разбор. В Pro полный: под эту вакансию и ваше резюме

Сколько просить

Не продешевите: сумма под ваше резюме, нижняя граница и готовые фразы для торга

Ваше резюме против требований

Пройдёт ли ваше резюме фильтр: что совпало с требованиями и что дописать до отклика

Спросить у работодателя

10 вопросов именно к этой вакансии: что спросить на первом созвоне

Когда откликаться

Стоит ли спешить: за сколько дней Epam Kazakhstan (Эпам Казахстан),ТОО обычно закрывает вакансии

30 дней Pro: полный разбор каждой вакансииЧто ещё входит в Pro

Вакансия на английскомПереведёт заголовок и описание вакансии на русский

Наша компания

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.

О роли

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.

Чем предстоит заниматься

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

Наши требования

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

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

Мы предлагаем

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