Senior ML Engineer

Essential functions

• Work with technical and non-technical stakeholders to align LLMs for specific use cases.
• Collect requirements from data engineering, product feature, research and evaluation teams to develop modeling, prompting and data transformation techniques

Qualifications

• Strong foundation in machine learning fundamentals with the ability to tackle complex ML challenges.

• Experience or proven interest in designing and implementing AI-driven approaches to evaluation (e.g. LLM-as-a-judge, automated evaluation, etc).

• Demonstrated ability to develop high-impact language model systems for real-world applications.

• Expertise in GenAI, LLM, and/or NLP/NLU evaluation.

• Demonstrated ability to identify research directions, rapidly prototype solutions, and drive them to practical impact.

• Proficient in software engineering best practices (e.g., modular software design, testing).

• Strong proficiency in Python.

• Strong proficiency PyTorch, TensorFlow, or Jax.

• Excellent communication skills with a proven ability to engage diverse stakeholders.

• Experience with MLOps standards, including containerization, orchestration (e.g., Kubernetes), and CI/CD.

• Proven experience developing and owning high-impact, developer-facing systems and tools.

• Experience developing and evaluating complex agentic systems using LLMs.

• Experience adapting and aligning LLMs through various training strategies, e.g. continued pre-training, supervised fine-tuning, and reinforcement learning.

• Expertise in uncertainty estimation and calibration, active learning, or related problem spaces.

• Experience with ML platform design or ownership

• Hands-on experience with large-scale data processing frameworks, e.g. Spark, PySpark, Dask, or Ray.

• Track record of contributions to open-source ML projects or publications in top-tier ML conferences (e.g., NeurIPS, ICML, ACL).

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.