Full-Time
AI Automation Engineer
Vinmar International
501-1,000 employees
Global plastics, chemicals marketing and distribution
No salary listed
Mumbai, Maharashtra, India
In Person
Bachelor's
 AI & Machine Learning (1) |
|---|
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- A bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field is required.
- At least 5 years of experience in data engineering, AI development, analytics, or cloud platform engineering is required.
- Experience designing and deploying enterprise AI and automation solutions in Microsoft Azure environments is required.
- Advanced proficiency in Python, PySpark, SQL, and Kusto Query Language is required.
- Strong experience with Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Fabric Notebooks, Power BI, Azure Data Factory, and Delta Lake is required.
- Experience building scalable ETL/ELT pipelines and modern data lake architectures is required.
- Hands-on experience with Large Language Models, Microsoft Copilot, prompt engineering, Retrieval-Augmented Generation pipelines, AI agent development and orchestration, vector databases, tokenization strategies, AI APIs, and workflow automation is required.
- Knowledge of enterprise AI architecture, model integration, and responsible AI practices is required.
- Design, develop, and deploy AI-powered applications and automation solutions that improve operational efficiency and business outcomes.
- Implement Microsoft Copilot solutions and integrate AI models to deliver intelligent insights, natural language querying, and enhanced user experiences.
- Integrate Large Language Models and Generative AI services into business applications using APIs, connectors, and workflow orchestration tools.
- Develop prompt engineering strategies, Retrieval-Augmented Generation pipelines, AI agents, vector databases, and tokenization workflows for enterprise AI initiatives.
- Evaluate emerging AI technologies and recommend solutions aligned with business objectives.
- Design and maintain scalable Medallion Architecture data lakes within Microsoft Fabric.
- Develop ETL/ELT pipelines using Dataflows Gen2, Fabric Notebooks, PySpark, Python, and Azure Data Factory.
- Build enterprise-grade Power BI semantic models using Direct Lake, DAX, and Kusto Query Language for high-performance analytics.
- Optimize data models, pipelines, and query performance for large-scale reporting and AI workloads.
- Collaborate with business stakeholders to translate data requirements into scalable AI and analytics solutions.
- Implement governance, security, and compliance standards across Microsoft Fabric and Azure environments.
- Configure Row-Level Security, workspace governance, access controls, and data protection policies.
- Ensure solutions follow best practices for scalability, reliability, performance, and cost optimization.
- Partner with IT, business leaders, and development teams to establish AI governance and responsible AI practices.
- Microsoft certifications such as Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft Certified: Fabric Data Engineer Associate, or Azure AI Engineer Associate.
- Experience with Azure AI Foundry, Azure OpenAI Service, Microsoft Copilot Studio, or similar enterprise AI platforms.
- Familiarity with DevOps, continuous integration and continuous delivery pipelines, Git, and Infrastructure as Code.
- Excellent analytical, problem-solving, and communication skills with the ability to collaborate across technical and business teams.
Vinmar International specializes in global marketing, distribution, and project development for plastics and chemicals. It helps leading producers and customers connect by providing tailored business solutions, including sales, logistics, and project management across a network of more than 50 offices serving over 100 countries. How it works: Vinmar coordinates between suppliers and buyers, leveraging its experienced sales teams, logistics capabilities, and project development services to move products from creation to end-use. How it differs: with 40+ years in the industry and a wide geographic footprint, Vinmar emphasizes customized, end-to-end solutions rather than manufacturing its own products, enabling efficient market access and supply chain management for clients. Its goal is to create value for both producers and users by delivering reliable market access, optimized logistics, and practical project support globally.
Company Size
501-1,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Houston, Texas
Founded
1978
Get referred to Vinmar International
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Simplify's Take
What believers are saying
- TA’ZIZ will export over 300,000 tonnes yearly of EDC and PVC to Vinmar.
- Vinmar acquired controlling stake in Syncot Plastics in March 2026, adding recycling capacity.
- Arisan Kimya joined Vinmar in 2026, expanding distribution reach across life sciences and industrial chemicals.
What critics are saying
- TA’ZIZ volumes begin only in 2028, delaying revenue while tying Vinmar to one project.
- Vinmar’s core business depends on volatile petrochemical spreads and shipping lanes across the Middle East.
- Plastic regulation and resin substitution can crush PVC and polypropylene demand, threatening Vinmar’s model.
What makes Vinmar International unique
- Vinmar sells polymers and chemicals in 110 countries through 58 offices worldwide.
- TA’ZIZ signed seven-year Vinmar supply deals worth up to $1.79 billion in March 2026.
- Premier Product Marketing and Citroniq signed a 15-year carbon-negative polypropylene offtake with Vinmar in 2026.
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Benefits
Health Insurance
Health Savings Account/Flexible Spending Account
Dental Insurance
Vision Insurance
Life Insurance
401(k) Retirement Plan
401(k) Company Match
Disability Insurance