Engineer - Applications Development
Gurugram - DLF Building, India
Marsh McLennan
Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...Company:
MercerDescription:
Application Management Services
AMS’s mission is to maximize the contributions of MMC Technology as a business-driven, future-ready and competitive function by reducing the time and cost spent managing applications
AMS, Business unit of Marsh McLennan is seeking candidates for the following position based in the Gurgaon/Noida office:
Engineer - Applications Development
What can you expect?
AMS is looking to hire an individual having expertise in essential libraries for machine learning and Python framework to design implement machine learning systems and self-running AI software to automate predictive modeling processes.
What is in it for you?
· Holidays (As Per the location)
· Medical & Insurance benefits (As Per the location)
· Shared Transport (Provided the address falls in service zone)
· Hybrid way of working
· Diversify your experience and learn new skills
· Opportunity to work with stakeholders globally to learn and grow
We will count on you to:
· Design and implement machine learning systems and self-running AI software to automate predictive modeling processes.
· Understand business objectives and develop machine learning models that align with these goals, including metrics to track progress.
· Streamline processes using MLOps practices to enhance deployment and monitoring of machine learning models.
· Convert AI/ML models into APIs for seamless integration by other developers.
· Perform statistical analysis and fine-tuning based on test results to optimize model performance.
· Train and retrain machine learning systems as necessary to adapt to new data and requirements.
· Leverage deep learning frameworks such as TensorFlow or Keras and apply advanced neural network architectures, including BERT models.
· Collaborate with cross-functional teams to gather and define application requirements.
· Ensure appropriate documentation and adherence to development, support, and change management processes.
· Investigate, diagnose, and resolve issues, providing support until tickets are resolved, while communicating regularly with stakeholders on progress.
· Support business-critical applications by monitoring service issues and proposing resolutions or improvements.
· Participate in process improvement initiatives for assigned applications/projects.
· Stay up to date with industry best practices and techniques related to application development.
What you need to have:
· Demonstrated expertise in essential libraries for machine learning, such as scikit-learn and pandas.
· Experience in processing, cleansing, and validating data integrity for analysis.
· Proficient in at least one popular Python framework (e.g., Django, Flask, or Pyramid) for web application development.
· Good aptitude with Logical, analytical and problem-solving skills
· Good communication and email etiquette skills.
· Good stakeholder management
Marsh McLennan (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s 85,000 colleagues advise clients in 130 countries. With annual revenue of over $20 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and wellbeing for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit marshmclennan.com, or follow us on LinkedIn and Twitter
Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, caste, gender identity or any other characteristic protected by applicable law.
Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture BERT Deep Learning Django Flask Keras Machine Learning ML models MLOps Pandas Predictive modeling Python Scikit-learn Statistics TensorFlow
Perks/benefits: Career development Flex hours Health care Insurance
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