Назад
Company hidden
10 дней назад

Machine Learning Developer (Generative AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Machine Learning Developer (Generative AI) (Python/SQL): Building and optimizing machine learning, deep learning, LLM, and RAG solutions that improve customer experiences and deliver measurable business outcomes with an accent on model development, feature engineering, experimentation, and predictive analytics. Focus on designing AI-powered personalization, translating business problems into deployable solutions, and improving model performance through continuous evaluation.

Location: GBS Chennai, India

Company

hirify.global is an AI-native, platform-enabled B2B digital agency combining data, technology, creativity, advanced analytics, and artificial intelligence to build customer experiences and integrated digital, media, and technology solutions.

What you will do

  • Build, train, optimize, and deploy machine learning and deep learning models for complex business problems.
  • Develop LLM-based applications, retrieval-augmented generation systems, and AI-powered personalization solutions.
  • Prepare large datasets, perform feature engineering, and create high-quality training data.
  • Run model testing, performance evaluation, and experimentation to improve prediction accuracy and business impact.
  • Collaborate with Marketing, Sales, Product, and Engineering to translate business requirements into AI-driven solutions.
  • Track emerging AI and machine learning techniques and identify opportunities for organizational adoption.

Requirements

  • 3+ years of hands-on experience developing, implementing, and optimizing machine learning and deep learning models.
  • Strong knowledge of supervised and unsupervised learning, including classification, regression, clustering, forecasting, recommendation systems, neural networks, and deep learning.
  • Experience across the data science lifecycle, including feature engineering, statistical modeling, experimentation, model evaluation, performance tuning, and optimization.
  • Proficiency in Python and SQL, with experience using Scikit-learn, TensorFlow, and/or PyTorch.
  • Experience with LLMs, RAG, LangChain, and LlamaIndex is highly preferred; cloud and MLOps experience is a plus.
  • Experience creating dashboards, visualizations, and executive reporting with Power BI or similar tools, plus a degree in a quantitative field such as Computer Science, Data Science, Artificial Intelligence, or Statistics.

Nice to have

  • Experience in integrated marketing, digital agencies, marketing services, or consulting.

Culture & Benefits

  • Medical insurance.
  • Provident Fund and gratuity.
  • Paid holidays.
  • Equal-opportunity workplace committed to diverse perspectives and freedom from discrimination and intolerance.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →