Data Scientist
Posted 4 weeks ago
We are a Digital Airport Company, and we transform Airports and its related experiences through Digital Interventions and with a strong service culture. As a leader in this space, we deliver world-class Airport Services focused on Airports and their related domains enabled through Technology Solutions, IT Operations, and Digital services. We provide end-to-end IT Concession at airports through which we have built significant experience in this sector over the past few years.
We have a strong and stable client portfolio which we aim to leverage and grow the Services portfolio and Services Business. We are building digital and transformation capabilities to complement the IT Managed service to create value for our customers. The current leadership of the company has both domestic and global experience in building and running high performance Digital First, Service organizations and over 20+ years in the ITES sector.
As we embark on taking company to the next level and we focus on - larger revenue, a larger customer base (Growth Engine), enhanced portfolio (Managed Services, New Digital Services/Products, Airport Services Platform etc.) and building a strong Digital Team backed by a strong Engineering DNA of the Organization (People, System Engineering). Current revenues are at approx. US $50 million, largely secured by long-term contracts. Vision is to scale it up to $500 Mn in the next 5 years with a client portfolio of both domestic and global airports and related adjacencies.
Job Description
Position Brief:
The Data Scientist will be responsible for developing, optimizing, and implementing deep learning models to solve real-world problems and applications specifically related to aviation and other domains. The role will drive the application of analytical, statistical, and programming skills to collect, analyze, and interpret large datasets, developing solutions to enhance airport operations.
The role is responsible for:
Utilizing machine learning and computer vision techniques to deliver solutions for object classification, detection, recognition, and segmentation, and managing the development and deployment of neural networks and machine learning models to solve real-world problems.
Location: Hyderabad
Primary Role s Responsibilities:
The primary role of the candidate will be:
- Apply machine learning and computer vision techniques for object classification, detection, recognition, and segmentation.
- Design, develop, train, validate, and deploy neural networks and machine learning models for computer vision applications.
- Utilize tools such as Python, R, Flask, NumPy, Pandas, NLTK, SciPy, TensorFlow, Keras, PyTorch, and OpenCV for model development.
- Build and fine-tune deep learning, machine learning, and reinforcement learning models for various tasks.
- Develop models on image, video, and audio data for classification, detection, recognition, and segmentation using transformers and algorithms.
- Evaluate model performance using metrics such as accuracy, precision, recall, F1-score, and AUC, addressing overfitting/underfitting issues.
- Build APIs for AI-ML models, implement MLOps, and automate processes. • Stay updated with new AI/ML technologies and innovations.
- Utilize software development and agile methodologies.
- Develop Python solutions in a Linux environment.
- Work with databases such as MySQL/PostgreSQL and cloud-native databases.
- Implement data warehouse solutions on cloud platforms.
Skills
Candidate Profile
Required Soft Skills:
- Strong analytical and problem-solving skills.
- Ability to collaborate with innovation and research teams.
- Excellent communication skills and the ability to lead projects from concept to deployment.
Working Experience and Qualification:
Education: Master’s degree in computer science/Information Technology with demonstrated experience in AI-ML.
Experience:
- 5-9 years of work experience in AI-ML.
- Proven experience in object detection and video analytics, preferably using YOLO or similar frameworks.
- Experience in deploying models using ML frameworks like YOLO, TensorFlow, and PyTorch.
Skills:
- Expertise in Python, R programming, and AI-ML tools.
- Hands-on experience with platforms like OpenAI and Azure.
- Knowledge of microservices deployment using Linux/Kubernetes (Azure Kubernetes Service).
- Experience with NLP/Transformers-based models for data analytics and optimization.
Job Summary
