1 year ago
Bengaluru, IndiaSenior
Responsibilities
- Conceptualize, develop, and deploy machine learning models for NLP, retrieval, ranking, reasoning, dialogue, and code-generation systems.
- Implement transformer-based models, reinforcement learning, ensemble learning, and agent-based systems.
- Process and analyze large structured, semi-structured, and unstructured datasets to inform model development.
- Manage the full ML lifecycle, including problem definition, data exploration, feature engineering, training, validation, and deployment.
- Use A/B testing and statistical methods to evaluate model effectiveness.
- Develop automated testing and validation processes to ensure ML solution integrity and robustness.
- Communicate ML model functionality and benefits to technical and non-technical stakeholders.
Requirements
- Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of industry experience building and deploying production-level machine learning models.
- Practical expertise in NLP, including training and inference of large language models.
- Deep understanding of retrieval, ranking, reinforcement learning, or agent-based systems for large-scale applications.
- Proficiency in Python and experience with TensorFlow or PyTorch.
- Experience with SQL, ETL, data warehousing, and large-scale data systems.
- Experience with machine learning model lifecycle management tools and MLOps principles.
- Familiarity with GCP or Azure.
- Knowledge of current machine learning and AI research and industry trends, with the ability to apply them practically.
- Understanding of software development principles, data structures, and algorithms.
- Strong problem-solving, logical thinking, attention to detail, and collaboration skills.
Benefits
- Hybrid work arrangement with employees expected to work from the office three days per week.
- Equal opportunity employer committed to nondiscrimination.
Tech Stack
Categories
About Ema
Ema builds an agentic AI platform that delivers AI employees to automate HR, IT, and Finance workflows across existing enterprise systems. It sells to large organizations via enterprise software and implementation services, offering on-prem and air-gapped deployments and 1,000+ prebuilt integrations. Founded in 2023, it has deployments with Wipro and Hitachi.