Biocube - Data Scientist - Machine Learning/Computer Vision (4-6 yrs)

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, statistical analysis, computer vision, and machine learning, with a focus on developing impactful solutions for complex business problems.

Responsibilities :

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

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

- 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.

- 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.

Requirements :

- 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.

- 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.

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

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

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

- 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.

- 2+ 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, and 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 and OCR, human/face detection, generative models, video analytics, and

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, and Airflow/ML Flow is good to have.

Version Control :

- Utilize version control systems (e. g., Git/Gitlab) to manage and track changes in code and models.