Chief Analytics Engineer

14 hours ago

Aligarh, Uttar Pradesh, India beBeeDataScientist Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Overview

We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will have a strong understanding of machine learning concepts, with a focus on natural language processing.

The successful candidate will be responsible for analyzing complex data sets to identify trends and patterns that drive business decisions. They will also design and develop predictive models and algorithms to improve the accuracy and efficiency of analytics solutions.

  • Analyzing complex data sets to identify trends and patterns that drive business decisions.
  • Designing and developing predictive models and algorithms to improve the accuracy and efficiency of analytics solutions.
  • Collaborating with cross-functional teams to ensure accurate, relevant, and up-to-date data is used for analytics purposes.
  • Contributing to hands-on development of data and analytics solutions.
  • Delivering products and solutions in a timely, proactive, and entrepreneurial manner.
  • Accelerating solution delivery using re-usable frameworks, prototypes, and hackathons.
  • Following MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
  • Developing and maintaining detailed technical documentation.
  • Staying up-to-date on industry trends and new technologies in data science and analytics, and applying this knowledge to improve firm's analytics capabilities.
Required Skills and Qualifications

The ideal candidate will possess:

  • 0-5 years of relevant experience in AI/analytics product and solution delivery.
  • Bachelor's/Master's degree in information technology/computer science/Statistics/Economics or equivalent fields experience.
  • Strong understanding of machine learning and deep learning concepts, with a focus on natural language processing.
  • Proficiency in Python programming language, with experience using libraries like PyTorch for deep learning tasks.
  • Familiarity with Elastic stack (Elasticsearch, Logstash, Kibana) for data management and analysis.
  • Experience in optimizing algorithms and time series forecasts.
  • Knowledge of prompt engineering techniques to improve model performance.
  • Ability to prototype applications using Streamlit or similar tools.
  • Experience working with large and complex internal, external, structured, and unstructured datasets.
  • Model development and deployment in cloud; Familiarity with Github, CI/CD process, Docker, Containerization & Kubernetes.
  • Strong conceptual and creative problem-solving skills.
  • Good written, verbal communication skills, and presentation skills to engage with a variety of audiences.
Benefits

The successful candidate will enjoy:

  • A competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and dynamic work environment.
  • Access to cutting-edge technologies and tools.
Others

Preferred candidates will have:

  • Familiarity with new-age AI and ML techniques such as GenAI, foundational models, large language models (LLMs), and applications.
  • Certifications in AI space such as ML Ops, AI Ops, Generative AI, Ethical AI, AI deployment in cloud.
  • Familiarity with agile methodologies and tools.
  • Prior experience in P&C Insurance Analytics.
  • Prior experience in Analytics consulting and services.

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