Senior Machine Learning Engineer

What You Will Do

• Design and implement scalable ML and deep learning models using PyTorch, TensorFlow, Scikit-learn, and other modern frameworks.
• Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems.
• Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.).
• Leverage GPU-based computing resources and CUDA/Nvidia for performance optimization in training and inference.
• Collaborate with data engineers, software developers, and product teams to deliver AI/ML capabilities in production.
• Conduct rigorous model evaluations, A/B testing, error analysis, and performance tuning.
• Implement responsible AI principles and ensure model fairness, interpretability, and compliance.
• Explore and integrate open-source LLM models and fine-tuning strategies for specialized domain applications.
• Drive innovation in prompt engineering and generation pipelines for AI-assisted systems.

Skills and Experience You Will Need

Required:

• 5+ years of hands-on experience in machine learning, with at least 2 years focused on deep learning and LLM applications.
• Strong programming experience in Python and hands-on development of ML pipelines.
• Solid knowledge of machine learning algorithms, statistics, and deep learning.
• Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models.
• Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture.
• Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks.
• Working knowledge of CUDA, Nvidia GPUs, and distributed training.
• Experience with AWS services (S3, Lambda, EC2, SageMaker, Bedrock, etc.).

Desired:

• Experience deploying models as APIs/microservices in cloud-native environments.
• Familiarity with prompt tuning, embedding generation, vector search, and knowledge retrieval frameworks.
• Understanding of MLOps best practices, version control, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Prior experience working with GenAI tools and response-augmented generation workflows.

Education:

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

Who We Are

GalaxE, now Endava, is a professional IT services firm that specializes in platform-driven solutions and the use of automation to achieve enterprise business transformation and mission-critical change for some of the largest companies in the world. Using our proprietary solution set,GxFource,we apply machine learning techniques and predictive analytics tools as part of a broad artificial intelligence strategy that provides effective impact and data-driven business transformation.

Since its founding, GalaxE has been dedicated to advancing the benefits of technology. Recently, we have joined forces with Endava, to offer our employees global exposure and enhanced opportunities. As we continue that legacy and look to the future, a focus on business enablement through agile, cost-efficient, and effective integration of people, process, and technology anchors our success. We revolutionize change in the costs of doing business that transform companies and their ability to leap beyond the competition.

We value people and are committed to diversity and inclusion where our employees are made to feel comfortable and are encouraged to be authentic.

We are always looking for passionate, entrepreneurial-minded innovators and disrupters; game-changers that take ownership of the work they produce and bring it each and every day. Working with like-minded team members you will get a chance to discover, develop, and use cutting-edge technologies to transform the way we deliver creative business solutions.

Sound like you? Join us and find out for yourself what it means for you, and your career, to be part of the GalaxE team. Let’s build something, together.

*Equal Opportunity Employer/Veterans/Disabled

** Pay is based on several factors including market location and may vary depending on actual job-related knowledge, skills, and experience.

Physical Requirements:

• Prolonged periods of remaining stationary at a desk and working on a computer
• Must be able to lift to 15 lbs., as needed
• Must be able to work on-site (corporate/client offices), as needed (not applicable for 100% remote roles)
• Occasionally required to bend, kneel, crouch, and reach overhead.
• Hand-eye coordination necessary to operate computers and various pieces of office equipment.
• Specific vision abilities required include close vision, the ability to tolerate fluorescent lighting, and the ability to adjust focus.

Employees must be able to perform the physical requirements of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship.

For more information, please visithttps://info.endava.com/galaxe-has-joined-endava

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