
Data Insights Specialist
1 day ago
About the Role
We're seeking a skilled Data Science professional to join our team.
As a Data Scientist, you'll play a key role in leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI-powered solutions.
You'll work with a range of tools, including exploratory data analysis, statistical modeling, machine learning, model deployment, integration, monitoring, and maintenance.
The ideal candidate will have experience with machine learning concepts, a strong programming background, and fluency in Python. Familiarity with specific libraries like NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs is a plus.
Key Responsibilities:
- Run end-to-end initiatives, including business understanding, data preparation, modeling, evaluation, and deployment.
- Analyze and interpret findings.
- Draw conclusions and recommendations, including expected benefits and measuring ROI for enhancing business processes.
- Support pre-sales activities and initiatives.
Requirements:
- Familiarity with machine learning concepts.
- Experience with Machine Learning (ML), especially Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multi-modal models.
- Business requirements gathering, transforming them into technical plans, data processing, feature engineering, models evaluation, hypothesis testing, and model deployment.
- Fluency in Python, working knowledge of SQL and vector databases.
- Knowledge of specific DS/ML/CVGenAI/NLP libraries like NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs (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 programming skills and familiarity with object-oriented programming concepts.
- Expertise in Azure cloud resources and 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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