Manager - Machine Learning Research

1 week ago


Pune, India NorthStar HR Consultants Full time

Job Title - Manager - Machine Learning Research

Job Location - Pune, Maharashtra (offers Remote friendly work option)


Company Description

Our client is a product engineering company working with innovative startups and enterprises. They have provided core product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS & Machine Learning space. Their team of 400+ elite software & DevOps engineers solve hard technical problems while transforming customer ideas into successful products.


Position Overview:

Our client is seeking a highly skilled and experienced Machine Learning Research Manager specializing in security to join our team in Pune, India. The ideal candidate will have a strong background in Data Science and AI/ML research, with a specific focus on fraud detection and prevention. This role requires a seasoned professional with proven leadership abilities and a commitment to advancing the field of machine learning in the context of cybersecurity.


Key Responsibilities:

  • Lead and manage a team of data scientists and machine learning researchers focused on developing advanced models for fraud detection and prevention.
  • Design, develop, and implement machine learning strategies to combat account takeover (ATO) and various forms of online fraud.
  • Collaborate with cross-functional teams to integrate ML solutions into our client's security products and services.
  • Conduct in-depth analysis of fraud activities, including bots, phishing, and ATOs, to inform the development of robust ML models.
  • Stay abreast of the latest research and trends in AI, ML, deep learning, natural language processing, cybersecurity, large language models, and multi-agent systems.
  • Utilize programming languages such as Python, R, Java, or similar to develop and deploy ML solutions, emphasizing strong engineering principles.
  • Ensure the effective use of big data technologies and tools in the development and deployment of ML models.
  • Foster a culture of continuous learning and improvement within the team, encouraging innovation and excellence in problem-solving.


Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Minimum of 10 years of experience in Data Science, with substantial experience in AI/ML engineering.
  • At least 5 years of experience as a people manager, with a proven track record of leading and mentoring teams.
  • Minimum of 3 years of hands-on experience in developing machine learning models with a focus on fraud detection and prevention.
  • Proven track record of successful implementation of ML-based strategies to combat ATO and fraud.
  • In-depth understanding of online or software fraud activities, including bots, ATOs, phishing, etc.
  • Proficiency in programming languages such as Python, R, Java, or similar, with a strong emphasis on engineering principles.
  • Exceptional problem-solving skills and the ability to think critically and innovatively.
  • Excellent communication and partnership skills for effective multi-functional collaboration. Commitment to staying updated with the latest research and trends in AI, ML, DL, NLP, cybersecurity, LLMs, and multi-agent systems.
  • Experience with big data technologies and tools is a plus. Excellent analytical and leadership skills.


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