Ankercloud Technologies - Cloud Architect - AI/ML

About Ankercloud :

Ankercloud is a strategic cloud and technology partner specializing in data-driven digital transformation. We empower organizations with scalable, cost-effective solutions through expert consulting, implementation, and industry-specific analytics. Our core strengths lie in AI/ML platforms, rapid go-to-market enablement, data integrity, and agile methodologies. With a focus on unlocking the full potential of cloud technologies, we help businesses innovate faster and smarter.

Role Overview :

As a Cloud Architect AI/ML, you will lead the design and delivery of advanced machine learning solutions across multi-cloud environments. Youll architect scalable systems, guide engineering teams, and collaborate with stakeholders to drive impactful AI/ML initiatives across industries.

Key Responsibilities :

- Architect and lead AI/ML solutions across AWS and GCP, ensuring scalability, security, and performance.

- Design reference architectures tailored to business needs using services like SageMaker, Bedrock, Vertex AI, BigQuery ML, etc.

- Build and optimize data pipelines for ML use cases, including acquisition, processing, and feature engineering.

- Oversee cloud infrastructure provisioning, security protocols, and cost optimization strategies for ML workloads.

- Implement robust MLOps practices : CI/CD, model governance, versioning, and monitoring.

- Evaluate and integrate tools for OCR, NLP, GenAI, LLMs, MCP, Agentic AI, and other advanced ML domains.

- Mentor engineering teams, ensuring cross-cloud compatibility and architectural best practices.

- Engage with clients, data scientists, and business leaders to gather requirements and deliver solutions.

- Deliver domain-agnostic solutions across sectors such as healthcare, finance, manufacturing, and retail.

Technical Expertise :

- Deep expertise in AWS and GCP AI/ML ecosystems

- AWS : Bedrock, SageMaker, EMR, Glue, Lambda, Step Functions, IAM, Security Hub

- GCP : Vertex AI, Dataflow, AutoML, BigQuery ML, IAM, Security Command Center

- Proven experience in deploying ML architectures for OCR, NLP, GenAI, LLMs, MCP, and Agentic AI

- Hands-on with ML/DL frameworks : TensorFlow, PyTorch, Keras, Kubeflow, MLflow

- Skilled in designing resilient, cost-efficient infrastructure using VPCs, cloud networking, storage, and GPU clusters

- Proficient in containerization (Docker), orchestration (Kubernetes), and IaC tools (Terraform, CloudFormation)

- Strong command of Python and enterprise Linux environments

- Expertise in ML lifecycle management, cloud security, compliance, and data privacy

- Familiarity with open-source LLMs, Langchain, vector databases (Pinecone, FAISS), and orchestration frameworks

Preferred Qualifications :

- 8+ years of experience in cloud architecture with a focus on AI/ML solutions

- Strong communication skills for presenting technical concepts to diverse audiences

- Proven ability to mentor and lead cross-functional engineering teams

- Experience working with global clients in a services-oriented environment