ML/GenAI Engineer IRC269413 Offline

We are developing a sophisticated data platform designed to collect information from various sources, normalize it according to predefined flows, and present it to end-users via analytical dashboards. This processed data empowers users to make informed decisions regarding a company’s business state and predict its future performance.

Our client, a major investor, provides high-value analysis and support to its portfolio companies to mitigate emerging business challenges. Currently, this process is highly manual and fragmented.

The project’s goal is to define and build a digital platform that automatically connects client employees with relevant and meaningful information about their portfolio holdings, enabling actionable insights at scale.

We are looking for an AI/ML Engineer to drive the predictive capabilities of this platform and transform raw data into critical investment intelligence.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

Requirements

Must-Have Skills
– 3+ years of experience in Machine Learning, Generative AI, and/or NLP.
– Strong expertise with LLMs (e.g., GPT-4, T5, Claude, LLaMA) and generative AI techniques.
– Proficient in Python; hands-on experience with ML frameworks such as PyTorch and LangChain, and LangGraph.
– Experience with using prompt engineering techniques to adapt LLMs effectively and/or fine-tuning LLMs using APIs like OpenAI and HuggingFace.
– Strong grasp of data structures and data transformation processes.
– Experience serving ML models as API services in production environments.
– Strong knowledge of different types of databases (SQL, noSQL, Vector, etc).
– Upper-Intermediate English (comprehensive written and verbal communication).
– Fluent Ukrainian (comprehensive written and verbal communication).
– Be familiar with Agile methodologies and Scrum.

Nice-to-Have Skills
– Experience developing AI agents with external tool integration.
– Experience with natural language-to-SQL or natural language-to-code generation systems.
– Familiarity with AWS and its computing services.
– Background in HCI, data storytelling, or user-centric AI systems.

Job responsibilities

– Use and fine-tune large language models (e.g., GPT, LLaMA, T5).
– Engineer and optimize prompts for LLM-based workflows.
– Implement and integrate retrieval-augmented generation (RAG) and tool-augmented agents.
– Build components of an agentic system capable of multi-step reasoning.
– Stay current with advancements in LLMs, agent frameworks, and RAG techniques.
– Research and propose improvements to model performance, usability, and tuning.
– Prototype ideas for intent recognition, query synthesis, analysis, and reasoning.
– Collaborate closely with developers and other stakeholders to ensure system alignment with product and business goals.