Senior Data & AI/ML Engineer – GCP Specialization Lead

What makes Techjays an inspiring place to work:

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change.

Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.

Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI.

 We are seeking a Senior Data & AI/ML Engineer with deep expertise in GCP, who will not only build intelligent and scalable data solutions but also champion our internal capability building and partner-level excellence.

This is a high-impact role for a seasoned engineer who thrives in designing GCP-native AI/ML-enabled data platforms. You’ll play a dual role as a hands-on technical lead and a strategic enabler, helping drive our Google Cloud Data & AI/ML specialization track forward through successful implementations, reusable assets, and internal skill development.

Prefferred Qualifications:

• GCP Professional Certifications

  : Data Engineer or Machine Learning Engineer.
• Experience contributing to a

  GCP Partner specialization

  journey.
• Familiarity with

  Looker, Data Catalog, Dataform

  , or other GCP data ecosystem tools.

data privacy, model explainability

Primary Skills (Must-Have):

• GCP Services:

  BigQuery, Dataflow, Pub/Sub, Vertex AI

• ML Engineering:

  End-to-end ML pipelines using Vertex AI / Kubeflow

• Programming

  : Python & SQL

• MLOps:

  CI/CD for ML, Model deployment & monitoring

• Infrastructure-as-Code:

  Terraform

• Data Engineering:

  ETL/ELT, real-time & batch pipelines

• AI/ML Tools:

  TensorFlow, scikit-learn, XGBoos

Secondary Skills (Good-to-Have):

• GCP Certifications:

  Professional Data Engineer or ML Engineer

• Data Tools

  : Looker, Dataform, Data Catalog

• AI Governance:

  Model explainability, privacy, compliance (e.g., GDPR, fairness)

• GCP Partner Experience

  : Prior involvement in specialization journey or partner enablement

Work Location: Coimbatore

Key Responsibilities

Data & AI/ML Architecture

• Design and implement data architectures for

  real-time and batch pipelines

  , leveraging GCP services such as

  BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI

  , and

  Cloud Storage

  .
• Lead the development of

  ML pipelines

  , from

  feature engineering

  to

  model training and deployment

  using

  Vertex AI

  ,

  AI Platform

  , and

  Kubeflow Pipelines

  .
• Collaborate with data scientists to

  operationalize ML models

  and support

  MLOps

  practices using

  Cloud Functions

  ,

  CI/CD

  , and

  Model Registry

  .
• Define and implement

  data governance, lineage, monitoring

  , and

  quality frameworks

  .

Google Cloud Partner Enablement

• Build and document

  GCP-native solutions and architectures

  that can be used for

  case studies

  and

  specialization submissions

  .
• Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP.
• Contribute to building

  repeatable solution accelerators

  in Data & AI/ML.
• Work with the leadership team to align with

  Google Cloud Partner Program metrics

  .

Team Development

• Mentor engineers and data scientists toward achieving

  GCP certifications

  , especially in

  Data Engineering

  and

  Machine Learning

  .
• Organize and lead

  internal GCP AI/ML enablement sessions

  .
• Represent the company in

  Google partner ecosystem events

  , tech talks, and joint GTM engagements.

What we offer

• Best-in-class packages.
• Paid holidays and flexible time-off policies.
• Casual dress code and a flexible working environment.
• Opportunities for professional development in an engaging, fast-paced environment.
• Medical insurance covering self and family up to 4 lakhs per person.
• Diverse and multicultural work environment.
• Be part of an innovation-driven culture with ample support and resources to succeed.