AI/NLP Data Science Engineer IRC257798
GlobalLogic

Description
Our Client is a Fortune 500 company and is one of the biggest global manufacturing companies operating in the fields of industrial systems, worker safety, health care, and consumer goods. The company is dedicated to creating the technology and products that advance every business, improve every home and enhance every life.
As an AI and NLP Data Engineer, you will be responsible for developing and implementing data pipelines to power AI, LLM, and NLP algorithms. You will work closely with cross-functional teams to design, build, and optimize information retrieval solutions that deliver relevant and accurate results to our users.
Requirements
Requirements:
Key Responsibilities:
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.
Our Client is a Fortune 500 company and is one of the biggest global manufacturing companies operating in the fields of industrial systems, worker safety, health care, and consumer goods. The company is dedicated to creating the technology and products that advance every business, improve every home and enhance every life.
As an AI and NLP Data Engineer, you will be responsible for developing and implementing data pipelines to power AI, LLM, and NLP algorithms. You will work closely with cross-functional teams to design, build, and optimize information retrieval solutions that deliver relevant and accurate results to our users.
Requirements
Requirements:
- Proven experience developing and deploying data pipelines for AI and NLP-based search systems, including for Retrieval Augmented
- Generation (RAG) systems Strong programming skills in languages such as Python, Java, or C++
- Strong data engineering skills and experience deploying data engineering pipelines on Azure cloud platforms (3+ years experience).
- Experience with NLP information retrieval processes, including indexing, tokenizing, and hybrid search strategies.
- Proficiency in natural language processing techniques and tools (e.g., NLTK, spaCy, BERT).
- Familiarity with search technologies and platforms (e.g., Elasticsearch, Solr, Lucene).
- Ability to flex between using off-the-shelf design patterns and building custom pipelines, idepending on the given use case. Strong problem-solving skills and the ability to work both independently and as part of a team.
- Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- Familiarity with Agile and Scrum methodologies, including working with Azure DevOps and Jira for project management.
- Knowledge of DevOps methodologies and practices, including continuous integration and continuous deployment (CI/CD).
- Experience with Azure Data Factory or similar data integration tools for orchestrating and automating data pipelines.
Key Responsibilities:
- Design, develop, and deploy data engineering pipelines to power AI and NLP-based algorithms and systems, including Large Language Model (LLM) systems
- Collaborate with data scientists, software engineers, and product managers to understand requirements and deliver high-quality search solutions.
- Optimize search performance and scalability to handle large datasets and high query volumes.
- Stay up to date with the latest advancements in AI, NLP, and search technologies
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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