The role involves designing and developing machine learning systems, implementing algorithms, running tests, optimizing infrastructure, and maintaining CI/CD pipelines.
About You – experience, education, skills, and accomplishments
- Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with minimum 3 years experience as a Machine Learning Engineer 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 and 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.
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.
Top Skills
AWS
Google Cloud Vision
Keras
MySQL
Pandas
Postgres
Python
PyTorch
Scikit-Learn
TensorFlow
Terraform
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