Lead Engineer

• Lead Engineer - Data Engineering, with Insurance domain having 5-10 years of experience will possess a robust set of skills aligned with the advanced requirements of the role, particularly in Machine Learning Operations (ML Ops), Digital Analytics, Data Science, and analytics modeling.
• Proficiency in ML Ops involves implementing and managing ML models in a production environment, ensuring that they are scalable and maintainable.
• Candidates should have an in-depth understanding of deploying machine learning models and automating the workflow to streamline operations, which is critical for efficiency and performance in a corporate setting like MetLife Insurance K.K.
• The candidate should demonstrate advanced capabilities in interpreting vast datasets to derive actionable insights, informing strategic business decisions.
• This requires a strong command over both quantitative and qualitative analysis techniques, facilitating the optimization of digital marketing strategies and customer engagement initiatives.
• As a Data Scientist specializing in AI and Machine Learning, the candidate will need to exhibit extensive knowledge in algorithm selection, model training, and validation processes.
• The ability to apply machine learning techniques to real-world problems, alongside proficiency in Python programming for data manipulation and analysis, is essential.
• The candidate will also be expected to design and implement innovative data models that can predict trends and behaviors effectively.
• Experience in Data Analytics and Modelling is paramount, as the candidate must assess data quality and integrity, employing statistical methods to enhance data-driven decision-making processes.
• A solid grasp of machine learning methodologies, including supervised and unsupervised learning techniques, will be necessary to drive impactful results.
• Candidates should hold an M.Tech in Data Science or an MBA with a specialization in Business Analytics.
• Additionally, certifications such as Microsoft Certified: Azure Data Scientist Associate and Certified Machine Learning Professional (CMLP) are preferred, reinforcing the candidate's expertise in the latest tools and technologies relevant to data science and analytics.

Technical Skills

• ML Ops, Digital Analytics, Data Scientist/ AI ML, Data Analytics and Modelling, Machine Learning, Python + Data Science, Azure Synapse ML

Pay: ₹657,000.00 - ₹2,040,000.00 per year

Work Location: In person