Data Science

2 months ago

Noida, India Biocube Full time

Job Title : Data Scientist

Experience : 4-7 years

Location : Noida

About Bioqube :

Bioqube 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.

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.

8. 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.

(ref:hirist.tech)

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