Senior Machine Learning Engineer

Experience Level: 5-7 years

Note : Looking for Immediate Joiners and Serving Np lessthan 15 days

Mandatory Skills : Gemini or Microsoft copilot , Machine Learning , GCP, Vertex AI

AndorTech is seeking a highly skilled and experienced Senior Machine Learning

Engineer with a deep specialization in Google Cloud Platform (GCP) and its

advanced AI services. In this critical role, you will be instrumental in supporting and

optimizing our use of the Google AI ecosystem, particularly Gemini Enterprise, and

ensuring our AI solutions are robust, scalable, and performant. You will work closely

with internal teams and clients, providing expert guidance, troubleshooting complex

issues, and driving the adoption of best practices across our AI initiatives.

Key Responsibilities:

● GCP AI Ecosystem Expertise: Serve as a subject matter expert for Google

Cloud Platform's AI services, with a particular focus on Gemini Enterprise, AI

Studio, and NotebookLM.

● Solution Architecture & Optimization: Design, implement, and optimize

scalable and cost-effective ML solutions leveraging GCP managed services

such as Vertex AI, Cloud Run, Cloud Functions, and various database services

(e.g., Cloud SQL, Firestore, BigQuery).

● Gemini Enterprise & Agent Development: Provide advanced technical

support and guidance for Gemini Enterprise implementations, including

prompt engineering, model fine-tuning, and the development and

deployment of AI agents using relevant Agent Development Kits.

● Troubleshooting & Problem Solving: Diagnose and resolve complex technical

issues related to GCP AI services, ML model deployments, data pipelines, and

infrastructure.

● Customer Query Handling: Act as a primary point of contact for internal





teams and clients, addressing technical queries, providing prompt guidance,

and offering expert advice on leveraging GCP AI capabilities effectively.

● Operational Support: Manage and respond to incoming support requests via

JIRA and designated MS Teams channels (Gemini AI Support), ensuring

timely resolution and adherence to service level agreements (SLAs).● Best Practices & Governance: Advocate for and implement best practices in

MLOps, security, cost optimization, and compliance within the GCP

environment.

● Documentation & Knowledge Sharing: Create and maintain comprehensive

technical documentation, runbooks, and knowledge base articles to

empower internal teams and clients.

● Collaboration & Mentorship: Collaborate with data scientists, software

engineers, and product managers to integrate AI solutions, and mentor junior

engineers on GCP AI best practices.

● Stay Current: Continuously research and evaluate new GCP AI services,

features, and industry trends to recommend innovative solutions.

Required Skills & Experience:

● Bachelor's or Master's degree in Computer Science, Machine Learning,

Artificial Intelligence, or a related quantitative field.

● 5+ years of professional experience as a Machine Learning Engineer,

MLOps Engineer, or a similar role with a strong focus on cloud

platforms.

● Deep expertise in Google Cloud Platform (GCP)



services, including:

● Vertex AI (especially for model training, deployment, and monitoring)

● Gemini Enterprise (hands-on experience with its capabilities and

integration)

● Cloud Run and Cloud Functions for serverless ML inference and

event-driven architectures.

● GCP Database services (e.g., Cloud SQL, Firestore, BigQuery) for data

storage and retrieval.

● Networking and Security concepts within GCP.

● Proven experience with large language models (LLMs) and generative

AI, specifically with Google's Gemini family of models.

● Hands-on experience with Agent Development Kits (ADKs) or

frameworks for building conversational AI agents.

● Strong programming skills in Python, including relevant ML libraries

(e.g., TensorFlow, PyTorch, scikit-learn).● Experience with MLOps practices and tools for CI/CD, version control

(Git), and automated testing of ML pipelines.

● Excellent problem-solving, analytical, and debugging skills.

● Strong communication and interpersonal skills, with the ability to

explain complex technical concepts to both technical and

non-technical audiences.

● Ability to work independently and as part of a team in a rapid-paced,

dynamic environment.

Preferred Qualifications:

● GCP Professional Machine Learning Engineer or Cloud Architect

certification.

● Experience with other Google AI services like AI Studio, NotebookLM.

● Familiarity with containerization technologies (Docker, Kubernetes).

● Experience working in a support-oriented role, handling customer

queries and adhering to SLAs.

● Understanding of data governance, privacy, and security best

practices in an AI context.

📌 Sr MachineLearning Engineer (Bengaluru)
🏢 Andor Tech
📍 Bengaluru