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Senior AI ML Engnieer

Hanker Analytics

5 - 10 years

Gurugram

Posted: 08/01/2026

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Job Description

Company Description

Hanker Analytics is a leading provider of data analytics and business consulting for the life sciences and pharmaceutical industry. The company is committed to enabling data-driven decision-making by offering AI/ML and Natural Language Processing (NLP) solutions powered by cloud infrastructure. With a team of seasoned data scientists, technologists, and pharma experts, Hanker Analytics delivers tailored consulting and technology solutions. Noted for its innovative and collaborative approach, the company specializes in crafting impactful and sustainable solutions for clients in the highly regulated pharmaceutical space. Hanker Analytics is dedicated to excellence and leveraging cutting-edge technology to drive growth and optimize operational efficiency.
Role Description

This is a full-time, remote role for an AI/ML Engineer. The AI/ML Engineer will be responsible for developing machine learning algorithms, implementing neural networks, conducting pattern recognition analyses, and applying advanced statistical and computational methods to solve real-world challenges in the pharmaceutical and life sciences domains. The role involves a hands-on approach to designing, optimizing, and deploying AI/ML-driven solutions to maximize impact and address industry-specific challenges for our clients. Collaboration with cross-functional teams and stakeholders will be a significant part of the day-to-day responsibilities.
Qualifications

  • Proficiency in Pattern Recognition and Neural Networks to design and improve intelligent systems.
  • Strong foundation in Computer Science and familiarity with Algorithms essential for solving complex problems.
  • In-depth understanding of Statistics and Mathematical models for data interpretation and solution building.
  • Adept in implementing and optimizing machine learning models for practical applications.
  • Experience with relevant programming languages such as Python, R, or Java.
  • Familiarity with cloud-based AI/ML platforms and tools is a plus.
  • Strong analytical skills and the ability to work collaboratively with cross-functional teams.
  • Master's or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field preferred.

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