Data Science Engineer

Ciklum

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4, 000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Data Science Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

The prospective team you will be working with is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The team focuses onthe ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.

• Collaborate with engineers, data scientists, and business analysts to understand requirements, refine models, and integrate LLMs into AI solutions


• Incorporate RLHF and advanced techniques for tax-specific AI outputs


• Embed generative AI solutions into consolidation, reconciliation, and reporting processes


• Leverage LLMs to interpret unstructured tax documentation


• Development and implementation of Deep learning algorithms for AI solutions


• Stay updated with recent trends in GENAI and apply the latest research and techniques to projects


• Preprocess raw data, including text normalization, tokenization, and other techniques, to make it suitable for use with NLP models


• Setup and train large language models and other state-of-the-art neural networks


• Conduct thorough testing and validation to ensure accuracy and reliability of model implementations


• Perform statistical analysis of results and optimize model performance for various computational environments, including cloud and edge computing platforms


• Explore and propose innovative AI use cases to enhance tax functions


• Partner with tax, finance, and IT teams to integrate AI workflows


• Collaborate with legal teams to meet regulatory standards for tax data


• Perform model audits to identify and mitigate risks


• Monitor and optimize generative models for performance and scalability

• Solid understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI and GenAI model deployment


• Strong programming skills in Python, PyTorch, TensorFlow, and related libraries


• Proficiency in RegEx, Spacy, NLTK, and NLP techniques for text representation and semantic extraction


• Hands-on experience in developing, training, and fine-tuning LLMs and AI models


• Practical understanding and experience in implementing techniques like CNN, RNN, GANs, RAG, Langchain, and Transformers


• Expertise in Prompt Engineering techniques and various vector databases


• Familiarity with Azure Cloud Computing Platform


• Experience with Docker, Kubernetes, CI/CD pipelines


• Experience with Deep learning, Computer Vision, CNN, RNN, LSTM


• Experience with Vector Databases (Milvus, Postgres)

• Strong community: Work alongside top professionals in a friendly, open-door environment


• Growth focus: Take on large-scale projects with a global impact and expand your expertise


• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications


• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies


• Care: We ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations