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2 дня назад

Data Scientist (AI/GenAI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
Data Scientist (AI/GenAI) (Machine Learning and Generative AI): Building rapid prototypes, MVPs, ML models, LLM and RAG solutions, and GenAI chatbots with an accent on model development, data preprocessing, and enterprise integration. Focus on evaluating and optimizing model performance, monitoring bias and hallucinations, and implementing feedback loops for continuous improvement.

Location: Pune, India

Company

hirify.global is hiring for its AI team and offers an employee benefits package for eligible employees.

What you will do

  • Execute proofs of concept and MVPs for machine learning and Generative AI projects.
  • Develop, refine, and deploy supervised and unsupervised ML models.
  • Build LLM, RAG, and chatbot solutions and collaborate with AI Engineers on enterprise integration.
  • Collect, clean, preprocess, and analyze data while working with Data Engineers on data pipelines.
  • Evaluate and optimize models, monitor GenAI outputs for bias, hallucinations, and accuracy, and implement feedback loops.
  • Document model development, code, findings, and best practices for reproducible AI and ML delivery.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
  • 1–3 years of experience in data science, machine learning, or AI-related roles.
  • Hands-on experience developing and deploying ML models.
  • Proficiency in Python and SQL for data manipulation and model development.
  • Familiarity with scikit-learn, TensorFlow, or PyTorch, along with data visualization and exploratory data analysis techniques.
  • Strong analytical, problem-solving, learning, and attention-to-detail skills.

Nice to have

  • Exposure to Generative AI, LLMs, and chatbot development.
  • Basic knowledge of MLOps tools such as MLflow or Airflow.
  • Experience with Azure, AWS, or GCP for AI/ML model deployment.

Culture & Benefits

  • Access to health insurance, life and disability insurance, 401(k) contributions, and paid time off for eligible employees working 30 or more hours per week on average.
  • Employees working fewer than 30 hours per week receive 401(k) contributions and access to the Employee Assistance Program, Employee Resource Groups, and Employee Service Corp.
  • Opportunities for knowledge sharing, training, and ongoing learning in AI, ML, and GenAI.
  • Inclusive workplace focused on belonging, diversity, and career growth.

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