AI/ML Engineering Lead
The Toro Company20 days ago
Pune, IndiaStaff+
Responsibilities
- Design, develop, test, deploy, validate, optimize, and continuously improve AI and machine learning solutions for predictive analytics and other business use cases.
- Build generative AI, RAG, and agentic AI solutions including conversational assistants, intelligent search, and multi-step intelligent workflows.
- Develop models, prompts, embeddings, retrieval strategies, and AI architectures while optimizing accuracy, quality, latency, cost, security, explainability, scalability, and business value.
- Design scalable AI services, APIs, data and feature pipelines, and enterprise integrations using software engineering practices.
- Implement MLOps and GenAIOps practices including versioning, experiment tracking, automated deployment, rollback, and lifecycle management.
- Establish production monitoring and evaluation for model performance, drift, groundedness, bias, data quality, reliability, safety, usage, cost, and operational health.
- Implement responsible AI, security, governance, risk assessment, human oversight, access control, data protection, traceability, and safeguards against AI risks.
- Troubleshoot production AI solutions, perform root-cause analysis, and improve reliability, scalability, performance, and operational supportability.
- Translate business opportunities into AI problem statements, success measures, solution designs, and delivery plans while collaborating across technical, business, legal, compliance, and governance teams.
Requirements
- Bachelor's degree in Data Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics, Engineering, or another quantitative or technical discipline.
- At least 6 years of hands-on experience in machine learning, data science, AI engineering, and/or advanced analytics.
- Hands-on experience developing and deploying machine learning solutions, including model development, validation, evaluation, optimization, and production monitoring.
- Experience building generative AI or agentic AI applications using RAG, vector search, embeddings, tool calling, structured outputs, and AI evaluation frameworks.
- Proficiency in one or more of Python, R, Spark, Scala, and SQL.
- Strong understanding of supervised and unsupervised machine learning techniques, including neural networks, XGBoost, support vector machines, gradient boosting, and random forests.
- Experience with structured and unstructured data, feature engineering, information retrieval, dimensionality reduction, and feature extraction.
- Demonstrated problem-solving ability and capacity to work independently and collaborate across technical and business teams.
- Preferred: master's or PhD in a quantitative or technical discipline.
- Preferred: experience with advanced analytics, predictive modeling, statistical techniques, data visualization, MLOps, GenAIOps, and agentic AI workflows.
- Preferred: experience with Snowflake Cortex, Microsoft Foundry, Azure ML, Azure AI Search, OpenAI Agents SDK, Claude Agents SDK, Databricks, Snowflake, Microsoft Fabric, dbt, Azure DevOps, MLflow, Docker, or Kubernetes.
- Preferred: knowledge of identity and access management, privacy, data governance, model risk management, security, responsible AI controls, observability, service-level monitoring, cost controls, incident management, usage telemetry, and continuous performance improvement.
Tech Stack
Categories
About The Toro Company
The Toro Company designs and manufactures equipment for turf maintenance, irrigation, snow and ice management, and underground construction, serving residential users, landscape pros, municipalities, and golf/sports facilities. Founded in 1914 and headquartered in Minnesota, it operates global brands including Toro, Exmark, Ditch Witch, BOSS, and Spartan. The company sells through dealers and distributors and is publicly traded on the NYSE under the ticker TTC.