Manager AI ML

CRISIL is seeking a highly motivated Manager for our AI and Machine Learning team. The ideal candidate will lead and manage AI/ML projects, driving initiatives that leverage advanced analytics to improve decision-making processes. You will collaborate with cross-functional teams to develop innovative solutions that meet client needs and enhance CRISILs product offerings. This role demands a strong blend of technical expertise in AI/ML, strategic thinking, and excellent communication skills.

Responsibilities:

- Lead and manage end-to-end AI/ML project lifecycle, from ideation to deployment.
- Collaborate with various stakeholders, including data scientists, software engineers, and business analysts, to define project goals and deliverables.
- Develop and implement machine learning algorithms for predictive modeling, risk assessment, and data analytics.
- Analyze complex datasets to extract actionable insights and present findings to clients and internal teams.
- Stay updated on industry trends, emerging technologies, and best practices in AI/ML.
- Mentor and guide junior team members in their professional development.

Skills and Tools Required:

- Strong expertise in machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of data processing tools such as SQL, Pandas, and Spark.
- Ability to visualize data and insights using tools like Tableau or Power BI.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying ML models.
- Excellent problem-solving skills and ability to work under pressure in a fast-paced environment.
- Strong communication and presentation skills to convey technical concepts to non-technical stakeholders.

Qualifications:

- A masters degree in Data Science, Statistics, or a related field.
- 6+ years of relevant experience in AI/ML or data analytics roles, preferably in a financial services context.
- Proven experience in managing projects and leading teams is highly desirable.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.