Machine Learning Engineer (with LLM experience) IRC291167

Description

The Machine Learning Engineer will join a team focused on developing and integrating ML driven solutions across various projects. The role involves working with both traditional ML models and modern LLM based components, turning technical or machine-generated data into clear, meaningful outcomes. The engineer will collaborate closely with project teams, contribute to solution design, and support client facing initiatives. #LI-TK1

Skills

• AI

• Deep Learning

• Generative AI - LLMs

• LLM Fine-Tuning (RLHF SFT)

• Machine Learning

• Machine Learning Tools

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.

What we offer

• Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

• Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

• DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

• Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

• Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

• Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

Experience

• 10-15 years

Requirements

• Strong practical experience with machine learning algorithms, model training, evaluation, and optimization.

• Hands on skills with ML frameworks such as PyTorch or TensorFlow for building and deploying models.

• Familiarity with large language models.

• Knowledge of LLM frameworks and libraries, including Hugging Face, Transformers, LangChain, and other modern toolkits used for building and integrating language model applications.

• Experience designing or maintaining data pipelines for model input/output handling.

• Understanding of edge or resource constrained environments, including model compression, quantization, or on device inference.

• Ability to collaborate within a technical team, contribute to solution design, and support the offering/presales process when needed.

Job responsibilities

• Develop, train, and optimize ML models using established frameworks and best practices.

• Integrate LLM based components into existing workflows using available APIs, SDKs, or libraries.

• Build and maintain data pipelines that connect ML models with downstream systems or reasoning modules.

• Evaluate model performance with respect to accuracy, efficiency, and resource usage, proposing improvements where needed.

• Support department projects by contributing ML/LLM expertise and assisting in designing client solutions.

• Provide technical input during the offering process, helping shape proposals and solution architectures.