Data Science

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)

Location: noida, IN

Posted Date: 11/23/2024