Data Scienist

We are actively seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data science, computer vision, statistical analysis, and object detection, with a focus on developing impactful solutions for complex business problems.

Responsibilities

• Data Analysis and Modeling:

○ Utilize advanced statistical methods and deep learning/machine learning techniques to analyse large datasets and extract valuable insights.

○ Develop predictive models and algorithms to support business decision making.

• Domain Expertise:

○ Demonstrate expertise in the Biometrics domain or similar industry, understanding the nuances of data and business requirements.

○ Apply data science techniques to address specific challenges within the domain.

• Feature Engineering and Data Preprocessing:

• ○ Conduct effective feature engineering and data preprocessing to ensure high quality input for machine learning models
• ○ Good Knowledge of object detection and computer vision is required.
• ○ Work with real-world data to derive meaningful features for analysis.

• Coding Proficiency:

• ○ Exhibit strong programming skills in languages such as Python, R, or similar.
• ○ Should have working knowledge of developing REST API’s and frameworks like Flask/FastAPI.
• ○ Implement and deploy machine learning models, and contribute to codebase maintenance.
• ○ Must have knowledge of deep learning model training, evaluation and understanding of model inferencing.

• Collaboration:

○ Collaborate with cross-functional teams to define data requirements and deliver solutions that meet business objectives.

○ Communicate findings and insights to both technical and non-technical stakeholders.

• Model Evaluation and Optimization:

○ Evaluate model performance using appropriate metrics and iterate models for continuous improvement.

○ Optimise/quantize models for scalability and efficiency in real-world applications eg. edge devices.

• Cloud and Big Data Technologies:

○ Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies for efficient data processing and analysis.

• Version Control:

a. Utilize version control systems (e.g., Git/Gitlab) to manage and track changesin code and models.

Qualifications

• Bachelors/Master’s or Ph.D. in a relevant quantitative field such as Computer Science, Statistics, or Data Science.
• Overall 3+ years of industry work experience in computer vision, object detection, pattern recognition, artificial intelligence, automation, and/or vision processing.
• 3+ years of relevant experience as a CV Engineer, Data Scientist, Machine Learning Engineer, or related role. ● Experience with common languages (e.g., Python, SQL) and tools (e.g., TensorFlow, PyTorch, distributed training / inference) on premise or cloud.
• Knowledge of CUDA, OpenCV, Model Training on multiple GPUs.
• Proficient in at least one of: PyTorch (Preferable), TensorFlow and Keras
• Coding experience in programming Languages: Python (must), C++
• Knowledge of text detection & OCR, human / face detection, generative models, video analytics, model compression / optimization.
• Very good understanding and knowledge of Statistical and ML/DL

Concepts

○ Statistics

○ Computer Vision

• ○ Regression/ Classification and Unsupervised Approaches
• ○ Model Training, Deployment and Evaluation
• ○ Ensemble approaches
• ○ Evaluation techniques

• Familiarity with various operating systems (e.g. Windows, UNIX) and databases (e.g. MySQL,NoSQL)
• Good team player and excellent written and verbal technical communication skills
• Experience with cloud platforms(AWS,GCP,Azure) and big data technologies is a plus.
• Experience with Docker, Kubernetes, Airflow/MLFlow is good to have