AI/ML Engineering Lead New

NetVerks Inc.; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Toro Technology Center India seeks an AI/ML Engineering Lead to design, develop, test, and deploy advanced AI/ML solutions, driving predictive analytics, classification, and recommendations. You will supervise cross-functional efforts and align AI initiatives with business goals in a fast-paced environment.

You will implement MLOps and GenAIOps, ensure production readiness, monitor models, and uphold Responsible AI, security, and governance while translating business opportunities into concrete

Qualifications

• Bachelor’s degree in Data Science, ML, Statistics, CS, Data Mining, Applied Mathematics, Engineering or related field.
• 6+ years of hands-on experience in ML, DS, AI Engineering or advanced analytics.
• Hands-on experience developing and deploying ML solutions including model development, validation, evaluation, optimization, and production monitoring.
• Experience building Generative AI or agentic AI apps using RAG, vector search, embeddings, tool calling, structured outputs and AI evaluation frameworks.
• Proficiency in Python, R, Spark, Scala, and SQL.
• Strong understanding of supervised and unsupervised ML techniques (NNs, XGBoost, SVM, gradient boosting, RF, etc.).
• Experience with structured and unstructured data, feature engineering, information retrieval, dimensionality reduction, feature extraction.
• Demonstrated problem-solving skills and ability to work independently with cross-functional teams.

Responsibilities

• Design, develop, test, and deploy AI and ML solutions for predictive analytics, classification, recommendation, anomaly detection, forecasting, and other business use cases.
• Validate, optimize, and improve models with feature engineering, experimentation, performance analysis, tuning, and evaluation for production readiness.
• Build Generative AI, RAG, and agentic AI solutions including conversational assistants, ML models, intelligent search, and multi-step workflows.
• Develop and optimize models, prompts, embeddings, retrieval strategies, and AI architecture based on accuracy, latency, cost, security, explainability, and business value.
• Design scalable, secure AI services, APIs, data and feature pipelines, and enterprise integrations using strong software engineering practices.
• Implement MLOps and GenAIOps with CI/CD, versioning, experiment tracking, automated deployment, rollback, and lifecycle management.
• Establish production monitoring and evaluation for drift, groundedness, bias, data quality, reliability, safety, cost, and health.
• Implement Responsible AI controls with risk assessments, human-in-the-loop oversight, access controls, data protection, traceability.
• Troubleshoot production AI solutions and perform root-cause analysis to improve reliability and performance.
• Translate business opportunities into AI problem statements, success measures, solution designs, and delivery plans with cross-functional teams.

Skills

Python

R

Spark

Scala

SQL

Education

Bachelor's degree in Data Science/ML/CS/Engineering

Master's or PhD in Data Science/ML/Statistics/CS

Tools

Docker

Kubernetes

Databricks

Snowflake Cortex

Azure ML

OpenAI Agents SDK

Job description

Job Title: AI/ML Engineering Lead Company: Toro Technology Center India

Job Title: AI/ML Engineering Lead Company: Toro Technology Center India

Who Are We?

The Toro Company is a homegrown, Minnesota-based company that has been in business since 1914. We pride ourselves on providing world-class equipment to help maintain the environment that we love, while putting an emphasis on giving back to the communities that surround us. From residential lawns and gardens to Golf Clubs and sports grounds we are a company with a global footprint and a passion for helping people beautify whatever landscape they may be in. With 100+ years of operation under our belt and an average employee tenure of 15 years, come find out what makes The Toro Company the best place to build a career.

What Will You Do?

In order to grow and build a successful career with The Toro Company, you will be responsible for:

• Design, develop, test, and deploy AI and machine learning solutions for predictive analytics, classification, recommendation, anomaly detection, forecasting, and other business use cases.
• Validate, optimize, and continuously improve models through feature engineering, experimentation, performance analysis, tuning, and evaluation to support production readiness and business outcomes.
• Build Generative AI, RAG, and agentic AI solutions, including conversational assistants, ML models, intelligent search, and multi-step intelligent workflows.
• Develop and optimize models, prompts, embeddings, retrieval strategies, and AI architecture based on accuracy, quality, latency, cost, security, explainability, scalability, and business value.
• Design scalable, secure, and maintainable AI services, APIs, data and feature pipelines, and enterprise application integrations using strong software engineering practices, including source control, code review, automated testing, and technical documentation.
• Implement MLOps and GenAIOps practices, including CI/CD, model and prompt versioning, experiment tracking, automated deployment, rollback, and lifecycle management.
• Establish production monitoring and evaluation to track model performance, data and prediction drift, groundedness, bias, data quality, reliability, safety, usage, cost, and operational health, with appropriate alerting and retraining or remediation workflows.
• Implement Responsible AI, security, and governance controls, including risk assessments, human-in-the-loop oversight, access controls, data protection, traceability, and safeguards against hallucination, prompt injection, and data leakage.
• Troubleshoot production AI solutions, perform root-cause analysis, and continuously improve reliability, scalability, performance, and operational supportability.
• Translate business opportunities into well-defined AI problem statements, success measures, solution designs, and delivery plans, collaborating with Business, Data Science and Engineering, Architecture, Security, Legal, Compliance, and Governance teams to deliver production-ready solutions aligned with enterprise standards.

What Do You Need?

To be considered for this role, an individual should meet the following minimal requirements:

• Bachelor’s degree in Data Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics, Engineering, or another quantitative or technical discipline.
• 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 technologies and patterns such as RAG, vector search, embeddings, tool calling, structured outputs, and AI evaluation frameworks.
• Proficiency in one or more programming and analytical technologies such as Python, R, Spark, Scala, and SQL.
• Strong understanding of supervised and unsupervised machine learning techniques, including neural networks, XGBoost, support vector machines, gradient boosting, random forests, and related algorithms.
• Experience working with both structured and unstructured data, including feature engineering, information retrieval, dimensionality reduction, and feature extraction.
• Demonstrated problem-solving skills with the ability to work independently while collaborating effectively across technical and business teams.

Preferred Qualifications

• Master’s or PhD in Data Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics, Engineering, or another quantitative discipline.
• Experience with advanced analytics, predictive modeling, machine learning, statistical techniques, and data visualization.
• Advanced proficiency with Python/R, Spark, SQL, MLOps, GenAIOps, and agentic AI workflows.
• Experience designing and operating production Generative AI solutions utilizing RAG, embeddings, vector and semantic search, tool calling, orchestration, structured outputs, and AI evaluation frameworks.
• Experience with Snowflake Cortex, Microsoft Foundry, Azure ML, Azure AI Search, OpenAI Agents SDK, Claude Agents SDK, Databricks, or comparable AI/ML platforms.
• Experience with Snowflake, Microsoft Fabric, dbt, Azure DevOps, or comparable enterprise platforms.
• Experience with MLflow or comparable experiment tracking and model registry capabilities, containerization technologies such as Docker/Kubernetes, and infrastructure-as-code practices.
• Knowledge of enterprise identity and access management, privacy, data governance, model risk management, security, and Responsible AI controls.
• Experience operating production AI/ML solutions with model observability, service-level monitoring, cost controls, incident management, usage telemetry, and continuous performance improvement.