Biocube Data Science Expert

1 week ago

Noida, Uttar Pradesh, India Biocube Full time

Data Science Opportunities at Biocube

We are seeking a highly skilled and experienced Data Scientist to join our team at Biocube. As a key member of our organization, you will play a crucial role in developing impactful solutions for complex business problems.

Responsibilities:
  • Data Analysis and Modeling:
    • 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.
  • 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 APIs 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.
    • Optimize/quantize models for scalability and efficiency in real-world applications (e.g., 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:
    • Utilize version control systems (e.g., Git/Gitlab) to manage and track changes in code and models.
Qualifications:
  • Bachelor's/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.

Salary: $150,000 - $200,000 per year

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