Click here to apply: https://forms.office.com/r/EVECXfaez1
Key Responsibilities:
Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction.
Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling.
Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production.
Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs.
Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively.
Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments.
Required Skills and Qualifications:
Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field.
Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling.
Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy).
Generative AI: Experience with generative models such as GANs, VAEs or Transformers.
Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines.
Strong Analytical Skills: Ability to translate complex data into actionable insights.
Communication: Excellent written and verbal communication skills.
Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage.
Location: