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3 часа назад

Software Engineer II (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Software Engineer II (AI/ML): Designing, developing, and deploying machine learning models and Generative AI solutions for a technology platform accelerating life and annuities growth with an accent on end-to-end ML pipelines, API development, and data optimization. Focus on integrating innovative AI approaches and solving complex problems using data and intelligent algorithms.

Location: Onsite in Hyderabad, India

Company

hirify.global is a leading technology platform dedicated to accelerating life and annuities growth through innovative enterprise solutions and data insights for insurance products.

What you will do

  • Design, develop, and deploy machine learning models and Generative AI solutions.
  • Work on end-to-end ML pipelines, from data ingestion and preprocessing to model deployment and monitoring.
  • Collaborate with cross-functional teams to understand requirements and deliver AI-driven features.
  • Build robust, scalable, and well-documented Python-based APIs for ML services.
  • Optimize database interactions and ensure efficient data storage and retrieval for AI applications.
  • Stay updated with the latest trends in AI/ML and integrate innovative approaches into projects.

Requirements

  • Minimum 3 years of experience into ML/AI engineering.
  • Strong hands-on experience with Python.
  • Practical knowledge of supervised, unsupervised, and deep learning techniques.
  • Experience working with LLMs or similar Generative AI technologies.
  • Experience with RESTful APIs and integration of ML models into production services.
  • Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.).

Nice to have

  • Familiarity with AWS, Azure, or Google Cloud Platform (GCP).
  • Frontend or full-stack exposure for ML product interfaces (TypeScript/JavaScript).
  • Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, etc.).
  • Exposure to containerization (Docker) and orchestration (Kubernetes).

Culture & Benefits

  • Collaborate with smart, creative professionals dedicated to delivering cutting-edge technologies.
  • Work on deeper data insights and enhanced services to transform how insurance is done.
  • Commitment to three core values: be bold, team up, deliver value.
  • Opportunity to work for an Equal Opportunity employer committed to a diverse workforce.
  • Contribute to a platform accelerating life and annuities growth.

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