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We are looking for an experienced Senior Data Scientist with strong expertise in Artificial Intelligence, Machine Learning, and advanced data analytics. The ideal candidate will be responsible for developing, implementing, and optimizing AI-driven solutions, transforming complex datasets into actionable insights, and contributing to the development of intelligent products and services.
The role requires a combination of strong analytical skills, hands-on programming experience, and practical knowledge of modern AI technologies, including Generative AI and Large Language Models (LLMs).
Responsibilities
* Design, develop, and deploy advanced machine learning and AI models to solve complex business problems.
* Build and optimize predictive models, statistical algorithms, and data-driven solutions.
* Work with large and complex datasets to identify patterns, trends, and actionable insights.
* Develop and implement Generative AI solutions using Large Language Models (LLMs).
* Design and implement Retrieval-Augmented Generation (RAG) architectures and AI-powered applications.
* Experiment with different machine learning algorithms, model architectures, and AI frameworks.
* Fine-tune, evaluate, and optimize machine learning and deep learning models.
* Collaborate with Data Engineers, Software Developers, and business stakeholders to integrate AI solutions into production environments.
* Monitor model performance, accuracy, and reliability, ensuring continuous improvement.
* Communicate technical findings and recommendations to both technical and non-technical stakeholders.
* Stay up to date with emerging AI technologies, research, and industry best practices.
Requirements
* 5+ years of experience in Data Science, Machine Learning, or a related field.
* Strong programming skills in Python.
* Solid knowledge of statistics, mathematics, and machine learning algorithms.
* Hands-on experience with Machine Learning and Deep Learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
* Experience with Generative AI, Large Language Models (LLMs), and prompt engineering.
* Knowledge of RAG architectures, embeddings, and vector databases.
* Experience with data processing, feature engineering, and model evaluation.
* Strong SQL skills and experience working with large datasets.
* Understanding of MLOps practices and deploying machine learning models into production.
* Experience with cloud platforms such as AWS, Azure, or Google Cloud.
* Strong analytical, problem-solving, and communication skills.
* Ability to work independently and collaborate with cross-functional teams.
Nice to Have
* Experience with AI agent frameworks such as LangChain, LangGraph, or Semantic Kernel.
* Knowledge of Agentic AI and multi-agent architectures.
* Experience with NLP and Large Language Model fine-tuning.
* Familiarity with vector databases such as Pinecone, Weaviate, or FAISS.
* Experience with Docker, Kubernetes, and CI/CD pipelines.
* Knowledge of MLflow, Kubeflow, or other MLOps tools.
* Experience with AI evaluation, model monitoring, and responsible AI practices.