Process Integration Engineer ensuring successful introduction of new photomask products from development through manufacturing. Lead integration across all fabrication modules and optimize process flows for efficiency and quality.
About the role
- ML Solution Architect at AGDATA designing and implementing AI/ML solutions for agriculture industry clients. Leading engineering teams and ensuring compliance across ML deployments in a fast-paced environment.
Responsibilities
- Architect end-to-end AI/ML solutions including data pipelines, model deployment, cloud-native integrations, and enterprise-grade infrastructure.
- Lead technical design reviews, mentor engineering teams, and evaluate new AI/ML technologies (LLMs, RAG, AutoML).
- Drive POCs and convert prototypes into production-grade models using TensorFlow, PyTorch, LangChain, and modern cloud platforms (AWS, GCP, Azure).
- Develop APIs and microservices enabling seamless integration of AI capabilities into products.
- Implement strong MLOps practices—CI/CD for ML, automated retraining, model performance monitoring, and governance.
- Partner with data engineering to ensure robust pipelines, high-quality data, lineage, and feature engineering standards.
- Collaborate with product, engineering, consulting partners, and business stakeholders to align solutions with strategic goals.
- Advocate for responsible AI practices, explainability, ethical deployment, and build reusable frameworks/architectures.
Requirements
- 15+ years of development experience, with at least 7+ years in AI/ML and 4+ Years in ML solution architecture.
- Strong experience with enterprise architecture frameworks, design patterns, cloud‑native architectures, and modern integration approaches.
- Proven ability to design, build, and deploy systems using diverse model types (language, vision, traditional ML) and the supporting infrastructure.
- Skilled across multiple programming languages, major cloud platforms (AWS/GCP/Azure), and architectural modelling tools.
- Background in consulting or prior roles with cloud providers (AWS/GCP), or a senior ML engineer/solution architect who has grown into a broader architectural role.
- AI/ML Tools: TensorFlow, PyTorch, Scikit-Learn, Keras, H2O, LLMs, RAG.
- Cloud Platforms: AWS, Azure, GCP with strong knowledge of cloud-native ML services.
- MLOps: CI/CD for ML, Docker, Kubernetes, MLflow, Kubeflow.
- Data Engineering: ETL pipelines, big data frameworks (Spark, Hadoop).
- Programming: Python, SQL; familiarity with API development and microservices.
Benefits
- Comprehensive medical coverage – up to INR 7.5 lakh for employee and dependents, including parents.
- OPD benefit – coverage of up to INR 15 thousand covering expenses across specialties.
- Paternity leaves up to 14 working days with the option to split leave.
- Flexible hybrid work policy
- Free snacks and top-class facilities in the office.
Job title
Job type
Experience level
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Not specified
Degree requirement
No Education Requirement
Tech skills
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