Senior Machine Learning Engineer - AI

About You – Experience, Education, Skills, And Accomplishments

Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) experience as a Machine Learning Engineer or similar position  and knowledge of math, probability, statistics and algorithms

Understanding of data structures, data modeling and software architecture

Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch)

Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas  and has good knowledge in Prompt engineering .

Working experience for managing ML workload in production

Implement and/ or practicing MLOps or LLMOps concepts

Additionally, It Would Be Advantageous If You Have

Experience in Terraform or similar, and IAC in general.

Familiarity with AWS Bedrock.

Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision.

Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes.

Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases.

Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL.

What will you be doing in this role

Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices.

Designing and developing machine learning systems

Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability

Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary

Implement monitoring and alerting systems to track the performance and health of ML models in production.

Optimize infrastructure for performance, scalability, and cost efficiency.

Develop and maintain CI/CD pipelines for automated model training, testing, and deployment.

Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows.

About The Team

Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area. Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.