Evonence India - Google Cloud AI Practice Lead

EvonencePune

30+ days ago

Job description

Job Description

Position : Google Cloud AI Practice Lead

Location : Pune (Hybrid flexibility for remote work)

Experience : 8 - 11 Years

Company Description :

Evonence is a Google Cloud partner company specializing in providing Google Cloud solutions to mid-market businesses in North America. Founded in 2014, we are one of the fastest-growing partners in the Google Cloud ecosystem. We support a customer base of over 1000 and have deep technical expertise in Google Workspace, Google Cloud infra migrations, and Google Cloud app modernizations.

Role Description :

As a Google Cloud AI Practice Lead at Evonence, you will drive the AI / ML practice, lead solution design, and ensure successful delivery of AI-driven projects on Google Cloud Platform (GCP). This leadership role requires deep expertise in AI / ML technologies, cloud-native architectures, and the ability to engage with stakeholders, mentor teams, and scale the AI practice.

Key Responsibilities (KRAs) :

Lead the AI / ML practice and define the roadmap for AI initiatives on Google Cloud.
Architect and design AI / ML solutions leveraging GCP services (Vertex AI, BigQuery ML, TensorFlow, etc.).
Drive end-to-end project execution from requirement gathering, model development, deployment, and monitoring.
Collaborate with cross-functional teams to identify business problems and convert them into AI / ML use cases.
Lead customer engagements, present solutions, and ensure high-quality delivery aligned with client objectives.
Establish best practices for AI / ML development, model lifecycle management, and responsible AI.
Mentor and upskill engineers in the AI / ML practice to build strong technical competency.
Engage in pre-sales activities, proposal building, and solution demonstrations for prospective clients.
Stay updated with emerging AI technologies, trends, and Google Cloud advancements to maintain competitive advantage.
Drive thought leadership by creating reference architectures, case studies, and knowledge-sharing sessions.

Required Skillsets

Strong expertise in AI / ML algorithms, neural networks, pattern recognition, and statistical modeling.

Proven experience in building and deploying AI / ML solutions on Google Cloud Platform.

Proficiency in Python and Java for AI / ML development.

Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.

Strong understanding of cloud-native architectures, microservices, and APIs.

Expertise in data preprocessing, feature engineering, and pipeline automation.

Knowledge of GCP AI / ML services : Vertex AI, AutoML, BigQuery ML, AI Platform.

Experience in MLOps practices including CI / CD for ML, model monitoring, and retraining strategies.

Excellent problem-solving, analytical, and decision-making skills.

Strong leadership and mentoring capabilities with experience managing technical teams.

Bachelors degree in Computer Science, Data Science, or related field (Masters preferred).

Google Cloud Professional ML Engineer or Data Engineer certification is highly desirable.

(ref : hirist.tech)

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