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 :