Hybrid Machine Learning Solutions Architect

at AGDATA, LP

• Job title: Machine Learning Solutions Architect
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Azure, Cloud, Docker, ETL, Google Cloud Platform, Hadoop, Keras, Kubernetes, Microservices, Python, PyTorch, Scikit-Learn, Spark, SQL, Tensorflow
• Location requirements: Hybrid, Pune, India

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.