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Why You’ll be Excited to Work at Techjays
We are on a bold mission to create the best software services offering in the world to work on startups in nascent industries and greenfield projects to large scale enterprises. As a growth stage company, we combine a depth of capabilities and resources of our leadership with the ambition, culture and agility of a startup.
Our multinational team of veterans of Google, Vivint SmartHome, NetApp and many other established and startup companies. We have engineering teams based out of the US, India and Bangladesh.
Must Have Skills
- 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, XGBoost
Roles and 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.
We Take Care of Our Own
- Best in class packages
- Paid holidays and flexible paid time away
- Casual dress code & flexible working environment
- Medical Insurance covering self & family up to 4 lakhs per person.
Apply Here
Make your first move in giving your career a massive push forward.
Apply for This Position
You can also send an email to our recruiter at careers@techjays.com
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