AI / ML Architect

Position : AI / ML Architect

Experience Required : 8+ years

Company Description

ZenYData Technologies is committed to harnessing the power of data and automation to elevate businesses to new levels of efficiency and insight. Our vision is to be the forefront of data-driven transformation, driving business success through innovative data analytics and automation solutions. We aim to streamline business processes and enable informed decision-making through cutting-edge data solutions.

About the Role

ZenYData Technologies is looking for an experienced AI / ML Architect to design and deliver scalable, enterprise-grade AI and Machine Learning solutions.

We’re seeking someone who can combine strong technical expertise with architectural vision to turn business goals into intelligent, data-driven systems. You’ll play a key role in shaping our AI strategy, building robust ML pipelines, and leading the adoption of modern cloud-based AI technologies.

Key Responsibilities

Design end-to-end AI / ML solutions including data ingestion, feature engineering, model training, deployment, and monitoring using Azure ML, Databricks, Synapse, ADF, and Snowflake (Snowpark, Streams, Tasks).

Leverage AI Foundry for enterprise-grade workflows, model orchestration, and automation.

Define and implement frameworks for model versioning, retraining pipelines, CI / CD, and monitoring using MLflow, Azure ML Pipelines, Docker, Kubernetes, and GitHub Actions .

Evaluate and recommend optimal ML algorithms, frameworks, and cloud services.

Collaborate with business and data teams to drive AI strategy and align initiatives with measurable outcomes.

Ensure compliance with standards for data privacy, fairness, explainability, and performance.

Mentor and guide data science and engineering teams on design best practices and reusable accelerators.

Preferred Qualifications

Bachelor’s or Master’s in Computer Science, Data Science, or related field .

8+ years of experience in Data Science, ML, or AI Engineering, including 2+ years in an architectural role .

Strong hands-on expertise in Python, SQL , and ML frameworks ( TensorFlow, PyTorch, Scikit-learn ).

Experience with MLOps tools like MLflow, Azure ML Pipelines, Docker, and Kubernetes.

Proven experience deploying and optimizing ML models in Azure Cloud and integrating with Snowflake .

Strong understanding of data pipelines, feature stores, cloud-native ML architectures, and ETL workflows.

Why Join Us?

At ZenYData Technologies , we don’t just build AI systems — we build intelligent ecosystems that power business transformation.

Here’s why you’ll love working with us :

✨ Innovative Work – Be part of cutting-edge AI and automation projects shaping the future of enterprises.

Collaborative Culture – Work with passionate technologists, data scientists, and innovators who value learning and teamwork.

Endless Growth – Opportunity to lead impactful projects, influence strategic decisions, and grow into senior leadership roles.

☁️ Modern Tech Stack – Access to the latest cloud-native AI / ML tools (Azure ML, Databricks, Snowflake, AI Foundry).

Meaningful Impact – Your work directly drives data-driven decision-making and operational excellence for global clients.

Application Process

Interested candidates are invited to send their resumes and a brief cover letter highlighting their experience and interest in the role to :

hr@zenydata.com / subhojit.ghosh@zenydata.com