Data Science

Job Title: Data Scientist Experience- 4-7 years Location- Noida
About Biocube:
Biocube is a leading innovator in biometrics and Identity Platforms, dedicated to leveraging cutting-edge AI technologies to drive business growth and enhance operational efficiency. We are seeking a talented AI Software Developer to join our dynamic team and contribute to the development of innovative AI solutions that will shape the future.
For more details visit our website: www.bioqube.ai

Job Description:

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

Responsibilities:

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.

6. 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.

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

7. Version Control:
   a. Utilize version control systems (e.g., Git/Gitlab) to manage and track changes in 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.
● 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, 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.