Senior Data Scientist (Aİ,LLM)

• Lead the end-to-end design, development, and deployment of sophisticated machine learning models, including Deep Learning architectures (CNN, RNN, LSTM, Transformers) and advanced statistical models.
• Architect and implement robust MLOps pipelines ensuring scalability, reliability, and continuous integration/continuous deployment (CI/CD) using tools like GitHub Actions, Kubernetes (K8s), and AWS ECR.
• Drive the research and application of cutting-edge techniques, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG) systems, and agentic AI patterns to solve complex Fintech problems.
• Design and optimize model serving solutions for high-throughput, low-latency environments using frameworks like Triton Inference Server, Ray Serve, vLLM, or FastAPI.
• Oversee and contribute to rigorous experiment tracking and versioning using platforms such as MLflow, AWS SageMaker, Kubeflow, or ClearML.
• Design and manage online/offline feature stores (e.g., Redis, Elasticsearch, Hopsworks, Feast, BigQuery) and vector databases (e.g., Qdrant, Milvus) for efficient model training and inference.
• Champion Model-Centric AI Principles (MCP) and MLOps best practices within the team and wider organization.
• Mentor junior and middle-level data scientists, conduct code reviews, and foster a culture of technical excellence and innovation.
• Collaborate with product managers, engineers, and stakeholders to define project requirements, translate business needs into technical solutions, and make key architectural decisions.
• Lead Proof-of-Concept (PoC) initiatives for new technologies and methodologies.
• Ensure models are robust, fair, and interpretable, adhering to regulatory requirements in the Fintech space.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 5+ years of experience in data science and machine learning, with a proven track record of deploying models into production.
• Expert proficiency in Python and extensive experience with ML/DL frameworks (PyTorch, TensorFlow, Keras, Scikit-Learn).
• Strong expertise in SQL and experience with various database technologies (e.g., PostgreSQL, NoSQL databases like DynamoDB, BigQuery).
• Deep understanding and practical experience with MLOps tools and methodologies, including containerization (Docker), orchestration (Kubernetes e.g., EKS, ECS), and CI/CD.
• Demonstrated experience in developing and deploying LLMs, RAG systems, and an understanding of agentic AI patterns
• Expertise with model serving technologies and feature store design.
• Excellent problem-solving, analytical, and strategic thinking skills.
• Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications:

• Experience with data processing frameworks like Apache Spark or Apache Flink.
• Knowledge of messaging systems like Kafka or RabbitMQ.

• One of the best business centers of Baku with spectacular sea view;
• Career growth and professional development in a dynamically developing company;
• Decent payment based on industry standards
• An exciting opportunity to shape the product, with leadership committed to open dialogue and a team of purpose-driven colleagues;
• Unlimited Learning options : Access an array of learning opportunities to support your professional growth;
• Medical Insurance: Full medical coverage from day one;
• Corporate Mobile Number: Stay connected with a company-provided mobile number;
• Exclusive Discounts: Access the DəyərliSən app for discounts across various services and products within the PASHA Group;
• Sports & Wellness Programs: Enjoy discounted access to Push30 fitness and sports activities.