Senior Data Science Engineer

November 7

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Ciklum

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Artificial Intelligence • B2B • Enterprise

Ciklum is a global digital engineering and AI-enabled product and platform services company that helps enterprises design, build, and scale AI-infused software, cloud, data, and automation solutions. It combines UX and product design with engineering, DevOps, data engineering, responsible AI, and edge/IoT capabilities to move pilots into production and deliver enterprise-ready outcomes across industries such as banking, retail, healthcare, hi-tech, automotive, and travel. Ciklum emphasizes platform-agnostic, scalable solutions—covering AI incubators, conversational AI, agentic automation, cloud and edge services, XR/AR/VR, and digital assurance—focused on transforming workflows and customer experiences for B2B enterprise clients.

1001 - 5000 employees

Founded 2002

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• You will generate innovative ideas for conversational AI strategy, craft compelling business cases, and skillfully pitch them to key stakeholders. You'll dive deep into conversation data to unearth valuable insights, translating them into actionable recommendations and strategic direction for the product • You will be in charge of architecting, developing, and maturing our chatbot solutions as they scale from a successful pilot to a global, multi-market product • You will leverage pre-trained language models and AI-as-a-Service platforms while owning the fine-tuning and optimization process through your deep expertise in Natural Language Processing (NLP) and Machine Learning (ML). A key challenge will be to design and implement novel frameworks to evaluate the agent's performance at scale, moving beyond standard metrics to ensure true resolution quality and safety • You'll collaborate closely with Machine Learning Engineers to deploy, maintain, and enhance these models, ensuring they meet our high standards for performance and are seamlessly integrated into our operational frameworks • Finally, you will play a pivotal role in our team by fostering collaboration among peers. You'll work closely with fellow data scientists to establish and implement best practices for NLP and conversational AI projects. Your expertise will be instrumental as you mentor junior team members, guiding them through their projects and helping them develop their skills

🎯 Requirements

• Advanced proficiency in data science and machine learning methodologies, with extensive experience applying these techniques in production environments, particularly for NLP tasks • Proven experience designing and building novel evaluation frameworks for generative AI systems (e.g., using an "LLM-as-a-Judge" approach) to assess quality, safety, and factual grounding beyond standard classification metrics • Proven experience with LLM agents, RAG, automated pipelines, and tool usage • Strong understanding of Deep Learning fundamentals and transformer models • Advanced proficiency in Python (scikit-learn, pandas, NLTK, spaCy, etc.) in notebooks and production-ready code, and strong proficiency in SQL • Proven experience in getting models to production, scaling, and maintaining them for long-term success • Strong understanding of software development best practices, including testing, git, code reviews, model lifecycle management, and integrating with third-party APIs • Experience with Docker containers to support reproducible and scalable environments • English - upper-intermediate

🏖️ Benefits

• 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 • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies • Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice