3 days ago
Remote, IndiaSenior
Responsibilities
- Design, develop, and deploy scalable machine-learning models and AI applications for complex business problems.
- Build search and chat applications using agentic AI.
- Design AI paved paths for the engineering organization.
- Evaluate application and model performance through experiments and analyze results to improve outcomes.
- Evaluate, fine-tune, and deploy LLMs and foundation models using RAG, guardrails, and prompt-engineering practices.
- Write production-quality Python code for feature engineering, model evaluation, and interface services.
- Build MCPs and tools using Spring AI.
- Build high-performance data-ingestion pipelines.
- Apply LLM security practices including secure model deployment, input validation, and data verification.
- Collaborate with cross-functional stakeholders and mentor engineers on ML best practices without direct people management.
- Work with CI/CD pipelines and contribute to a global, cross-functional engineering team.
Requirements
- 8–10 years of overall experience in data engineering, ingestion, AI/ML, or GenAI projects.
- At least 5 years of experience in AI, GenAI, or ML projects.
- Master’s degree, preferably in Computer Science, Data Science, Mathematics, Actuarial Science, Engineering, or a related field.
- Experience with Python or Spark, including Scala Spark or PySpark.
- Experience with machine-learning libraries such as TensorFlow, Keras, and PyTorch.
- Conversance with Java, Spring AI, and Spring Boot services.
- Experience with data preparation and engineering tasks such as data cleaning, feature engineering, and data transformation.
- Knowledge of deep-learning architectures and techniques including convolutional neural networks, recurrent neural networks, and reinforcement learning.
- Familiarity with AWS data and data-science tools including SageMaker, Glue, and Lambda.
- Experience with Agile and DevOps development processes.
- Strong hands-on coding ability and the ability to explain complex technical concepts to nontechnical audiences.
Benefits
- Health benefits begin on Day One.
- Benefits include wellbeing programs, retirement plans, continuing education and training, and career-growth opportunities.
- The role is an individual-contributor position with no direct people-management focus.
- Virtual interviews are conducted by video in a camera-on culture, and occasional travel to a physical office may be required.
- Employment is contingent on successfully completing a background check, which may include identity, education, employment, criminal, sanctions, credit, or drug screening checks.
Tech Stack
Categories
About Alight
Alight provides cloud-based benefits administration and human capital solutions to large employers, combining its Alight Worklife platform with outsourced services for health, wealth, leave, and wellbeing programs. It earns revenue through SaaS subscriptions and long-term managed services and consulting. Headquartered in Deerfield, Illinois, Alight was carved out of Aon’s benefits outsourcing business by Blackstone in 2017 and is now publicly traded on the NYSE (ticker: ALIT).