Senior Data Scientist with 8-11 years of experience in Data Science and Machine Learning, specializing in NLP, Generative AI, LLMs, MLOps, and AI solution architecture, responsible for designing, implementing, and optimizing AI solutions for enterprise use cases.
Responsibilities
Contribute to the design and implementation of state-of-the-art AI solutions
Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI
Collaborate with stakeholders to identify business opportunities and define AI project goals
Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges
Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Architect large language models that can process and generate natural language, design neural network parameters, and work with extensive datasets to ensure effective training.
Responsibilities
Design neural network parameters for LLMs
Collaborate with multiple teams to refine model performance
Monitor and evaluate performance of language models
Fine‑tunes Large Language Models with emphasis on instruction fine‑tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Responsibilities
Refine and adapt advanced language models to better suit specific domains and instructions
Evaluate model outputs continuously
Collaborate with cross‑functional teams to integrate model improvements into broader applications
Document model development processes and maintain clear records of experiments and outcomes
Support junior team members by sharing knowledge and providing guidance on best practices
Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Responsibilities
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Expected to provide solutions to problems that apply across multiple teams.
Develop and maintain AI and computer vision components for embedded ADAS systems in automotive platforms.
Locations (4)
Cluj-Napoca, Cluj County, Romania
Jucu, Romania
Bucharest, Bucharest, Romania
Sibiu, Sibiu County, Romania
Responsibilities
Develop / update / maintain various AI / Computer vision component runnables and associated logic, with synchronous / asynchronous behavior and serial / parallel (multi) threading logic
Develop / update / maintain various AI “glue” code for inference / post-processing of AI models / CV algos, as well as (inter)dependencies to other parts of the bigger system (incl. non-ML parts)
Strong hands‑on experience in Python development, building data‑driven applications, creating APIs, debugging, testing, and deploying production‑ready solutions.
Must have experience in developing data‑based chatbots using Large Language Models, Retrieval‑Augmented Generation, and structured/unstructured data sources.
Must have hands‑on experience with LLM workflows including prompt engineering, fine‑tuning, model evaluation, response quality analysis, and performance optimization.
Should have strong experience in data processing and preprocessing using Python libraries such as Pandas, NumPy, and other relevant data‑handling frameworks.
Must have experience in FastAPI and REST API development, including creating, consuming, testing, and maintaining scalable APIs.
Lead technology strategy and program management for Verizon’s Enterprise Architecture team, driving AI and generative solutions across the organization.
Responsibilities
Develop and maintain technology roadmaps aligned with strategic goals
Engage with stakeholders and senior leadership to define product roadmaps
Collaborate with architects and cross-functional teams to ensure architecture alignment
Research emerging technologies and propose innovative solutions
Manage vendor and partner relationships
Requirements
Master’s degree from an accredited college or university
Generate and analyze performance of various AI models / CV algos in terms of semantic KPIs using various metrics, on various datasets
Test and analyze performance of various AI models / CV algos in terms of HW efficiency KPIs (e.g. runtime / bandwidth / overall load), both in the form of individual components as well as full system
Integrate model binaries in different production environments, ranging from C++ SW resimulation / target HW to Azure cloud pipelines
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