Middle ML/GenAI Engineer IRC269413
GlobalLogic
Description
Working with a data platform that gathers information about the appropriate company from various sources, normalizes it
according to the predefined flow, and shows it to the user as analytical dashboards. The gathered and processed information
lets the end-user decide regarding the investigated company’s business state. Analytical information helps to predict the
future state of the appropriate company.
As an investor, the client provides high-value analysis and support to partner companies to identify and mitigate emerging
business challenges. Today, the process is highly manual and fragmented.
The project aims to define and bring to life a digital platform that connects client employees with relevant and meaningful
information about their portfolio holdings, enabling insights and action.
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.
What we offer
Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Working with a data platform that gathers information about the appropriate company from various sources, normalizes it
according to the predefined flow, and shows it to the user as analytical dashboards. The gathered and processed information
lets the end-user decide regarding the investigated company’s business state. Analytical information helps to predict the
future state of the appropriate company.
As an investor, the client provides high-value analysis and support to partner companies to identify and mitigate emerging
business challenges. Today, the process is highly manual and fragmented.
The project aims to define and bring to life a digital platform that connects client employees with relevant and meaningful
information about their portfolio holdings, enabling insights and action.
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.
What we offer
Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
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