Andor Tech
Website:
andortech.com
Company:
https://www.linkedin.com/company/andor-tech
Industries: IT Services and IT Consulting, Telecommunications, and Digital Accessibility Services
Job details:
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 fast-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.
Click on Apply to know more.