Techjays - Senior Data & AI/ML Engineer - Google Cloud Platform

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 thats pushing the boundaries of digital transformation. At Techjays, youll 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. oull 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. Preferred Qualification : - 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. - Knowledge of data privacy, model explainability, and AI governance is a plus. Experience Range : 10 years. 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 (i.e., GDPR, fairness). - GCP Partner Experience : Prior involvement in specialization journey or partner enablement. Work Location : Remote. 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 : - BuSenior Data & AI/ML Engineer ild 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. (ref:hirist.tech)

Location: in, IN

Posted Date: 5/1/2025