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AI/ML Developer

  • Senior
  • Hybrid, 
  • Office
  • Bangalore
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AI/ML Developer

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  • Bangalore
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Technologies & tools

Must have
Generative AI / LLMs Python AI/ML Frameworks PyTorch TensorFlow Langchain MLOps AWS Docker Kubernetes CI/CD

The project involves designing and deploying advanced AI systems leveraging deep learning, NLP, and generative AI technologies. It includes building production-grade LLMs, agentic AI pipelines, and intelligent automation workflows using frameworks like PyTorch, TensorFlow, LangChain, and AutoGen. The role requires developing scalable microservices and distributed architectures, integrating AI models into enterprise systems, and implementing secure, compliant data pipelines.

The project also focuses on creating end-to-end ML workflows, including feature engineering, ETL, model training, evaluation, and monitoring. Responsibilities include deploying AI solutions on AWS, Azure, or GCP with containerization using Docker and Kubernetes. The project emphasises strong MLOps practices such as model versioning, CI/CD, experiment tracking, and performance benchmarking. Additionally, it requires innovating with agentic AI, multi-step reasoning, and tool-integrated AI systems to deliver high-impact business outcomes.

Your tasks

  • Designing and deploying advanced AI and LLM-based systems for production use
  • Building and training large-scale machine learning and generative AI models
  • Developing and integrating microservices, data pipelines, and enterprise AI components
  • Implementing and managing MLOps workflows, including CI/CD, versioning, and monitoring
  • Researching and innovating with agentic AI, modern frameworks, and new model architectures

Requirements

  • Advanced expertise in LLMs, generative AI, and modern AI frameworks
  • Strong programming proficiency in Python and experience with production-grade ML systems
  • Hands-on experience with TensorFlow, PyTorch, LangChain, or similar AI toolkits
  • Cloud and containerization knowledge (AWS, Docker, Kubernetes)
  • Solid understanding of data engineering, pipelines, and MLOps practices

Job no. 251203-LTP59

Технології

Необхідні навички
Generative AI / LLMs Python AI/ML Frameworks PyTorch TensorFlow Langchain MLOps AWS Docker Kubernetes CI/CD

Проект передбачає розробку та розгортання передових систем штучного інтелекту з використанням технологій глибокого навчання, NLP та генеративного ШІ. Він включає створення LLM виробничого рівня, агентних конвеєрів ШІ та інтелектуальних робочих процесів автоматизації з використанням таких фреймворків, як PyTorch, TensorFlow, LangChain та AutoGen. Ця роль вимагає розробки масштабованих мікросервісів і розподілених архітектур, інтеграції моделей ШІ в корпоративні системи та впровадження безпечних, сумісних конвеєрів даних.

Проект також фокусується на створенні наскрізних робочих процесів ML, включаючи функціональну інженерію, ETL, навчання моделей, оцінку та моніторинг. До обов'язків входить розгортання рішень ШІ на AWS, Azure або GCP з контейнеризацією за допомогою Docker і Kubernetes. Проєкт підкреслює сильні практики MLOps, такі як версіонування моделей, CI/CD, відстеження експериментів та бенчмаркінг продуктивності. Крім того, для досягнення високоефективних бізнес-результатів необхідні інновації з використанням агентного ШІ, багатокрокових міркувань та інтегрованих з інструментами систем ШІ.

Завдання

  • Проектування та розгортання передових систем на основі ШІ та LLM для виробничого використання
  • Створення та навчання великомасштабних моделей машинного навчання та генеративного ШІ
  • Розробка та інтеграція мікросервісів, конвеєрів даних і корпоративних компонентів ШІ
  • Впровадження та управління робочими процесами MLOps, включаючи CI/CD, версіонування та моніторинг
  • Дослідження та інновації з агентним ШІ, сучасними фреймворками та новими архітектурами моделей

Наші очікування

  • Поглиблена експертиза в галузі LLM, генеративного ШІ та сучасних фреймворків ШІ
  • Впевнене володіння мовою програмування Python та досвід роботи з системами ML виробничого рівня
  • Практичний досвід роботи з TensorFlow, PyTorch, LangChain або подібними інструментами ШІ
  • Знання хмарних технологій та контейнеризації (AWS, Docker, Kubernetes)
  • Глибоке розуміння інженерії даних, конвеєрів та практик MLOps

Вакансія № 251203-LTP59

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Benefits for you

Diverse portfolio of clients
Wide portfolio of technologies
Employment stability
Remote work opportunities
Contracts with the biggest brands
Great Place to Work Europe
Many experts you can learn from
Open and accessible management team
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Diverse portfolio of clients

Cooperation with international players across sectors, including automotive, banking, finance, hi-tech, medical, retail, logistics, and public services. The diversity of industries ensures the stability of the company and gives employees the opportunity to develop in various directions.

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Wide portfolio of technologies

We deliver projects in many technologies and areas, from software development, through testing, engineering, IT infrastructure, cloud solutions, cybersecurity. We have partnerships with key tech solution providers, like: Microsoft, SAP, Adobe, Salesforce, AWS, Google Cloud, Atlassian.

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Employment stability

We began as a one-person start-up in 2006 and grew into a 7 300+ workers company in 2024, generating revenue of of PLN 2.1BN, having no debts.

 

 

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Remote work opportunities

We offer the possibility of working completely remotely, if the position allows it.

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Contracts with the biggest brands

We are a key partner for many prestigious global companies from different sectors i.a: BNP Paribas, KUKA, ING or Bombardier with whom we have contracts that guarantee continuity of employment for our workers.  

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Great Place to Work Europe

Since 2018, we have been recognized with the Great Place to Work Europe title, a prestigious award based on employees feedback. According to the study, over 90% of people working at Sii consider it a fantastic place to work.

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Many experts you can learn from

At Sii we have a lot of knowledge sharing initiatives – our workers can join technology Communities, participate in a mentoring program or benefit from in-house trainings, blog and e-learning platforms.

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Open and accessible management team

No matter our title, we address each other by first names. Transparency and dialogue are important for us, that’s why we periodically organize local CEO meetups, online CEO live sessions and departmental Inspiration Days. During them everyone has the opportunity to meet with people managing the company, ask questions, report problems and discuss troubling issues.

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