
AI Innovator
5 days ago
About our Data Science and AI Competency Center:
Our data science and AI competency center harnesses the power of data, analytics, and artificial intelligence to extract valuable insights, build predictive models, and develop AI-powered solutions. We utilize Exploratory Data Analysis, Statistical Modeling, MACHINE LEARNING, Model Deployment, and Integration, as well as Model Monitoring and Maintenance.
We deliver business-driven solutions using multiple AI techniques and tools. Our team focuses on leveraging data to drive business value through innovative solutions.
Main Responsibilities:
- Lead end-to-end initiatives (business understanding, data preparation, modeling, evaluation, and deployment)
- Analyze and interpret findings to draw conclusions and recommendations, including expected benefits and measuring ROI for enhancing business processes
- Support pre-sales activities and initiatives
Key Requirements:
- Familiarity with machine learning concepts and methodologies
- Experience with machine learning, especially Generative AI (LLM/LMM) with a focus on Natural Language Processing (NLP) or multi-modal models
- Business requirements gathering, transforming them into technical plans, data processing, feature engineering, model evaluation, hypothesis testing, and model deployment
- Fluency in Python, working knowledge of SQL, and vector database
- Knowledge of specific DS/ML/CV/GenAI/NLP libraries like NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs i.e., OpenAI/Gemini
Nice to Have:
- Experience working with big data and distributed environments
- Commercial experience proven by multiple successful projects in Generative AI, NLP, or Computer Vision
General Skills:
- Good computer programming skills and object-oriented programming concepts familiarity
- Expertise in Azure cloud resources, Databricks
- Hands-on experience with Docker for containerization
- Strong business acumen
- Ability to come up with creative solutions to address customer problems
- Ability to lead small technical teams on projects
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