Applications Development Analyst

Company:

Mercer

Description:

About the Role:

We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you.

Role: Senior Computer Vision Engineer
Functional Area: AI
Educational Qualification:BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent.
Should have worked in an academic or professional setting in the field of computer vision/signal processing.
Experience: 2-5 years
Location: Gurgaon

Key Responsibilities:

•Develop and optimize advanced computer vision algorithms for image and video analysis tasks.
•Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks.
•Test and refine models and systems based on real-world data and feedback.
•Evaluate project requirements, plan and manage the roadmap of a project.
•Present findings and insights in a clear and concise manner to stakeholders.
•Collaborate and help to integrate and deploy computer vision systems into broader product architecture.
•Conduct research to stay updated on emerging computer vision technologies and trends.
•Automate data preprocessing and annotation processes to streamline workflow efficiency.
•Maintain comprehensive documentation for algorithms, implementations, and evaluations.
•Mentor junior engineers and provide strategic guidance on project development.

Requirements and skills:

•Proficiency in Python and knowledge of C++, Java and JS is plus.
•Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNN’s and vision transformers.
•Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras.
•Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation.
•Experience in evaluating computer vision models using relevant metrics and performance indicators.
•Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc.
•Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc.
•Basic knowledge of linear algebra, calculus, and statistics.
•Strong critical thinking, analytical, and problem-solving skills
•Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan 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 mercer.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.