Key Responsibilities-

<ul>
<li style="margin-left:0px;">Develop and build AI solutions end to end!</li>
</ul>

<ul>
<li style="margin-left:0px;">Architect, prototype, and deliver innovative AI tools and micro services that address concrete enterprise use cases, ensuring detailed integration with existing platforms and environments (e.g., config drift comparison across prod/UAT/dev, license insight services) as detailed in the CApS AI workstream.</li>
</ul>

<ul>
<li style="margin-left:0px;">Embed Responsible AI by design</li>
</ul>

<ul>
<li style="margin-left:0px;">Establish, implement, and champion standards for bias and fairness checks, data quality, inclusivity, explainability (e.g., model cards), and human centered safeguards throughout the lifecycle. Guide and influence teams on tradeoffs between performance and transparency.</li>
</ul>

<ul>
<li style="margin-left:0px;">Harden security and ensure compliance</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement, strengthen, and supervise secure identity, data protection, and governance controls for AI workloads (model endpoints, secret/key management, auditability), aligning with corporate policies and driving cloud security standard methodologies.</li>
</ul>

<ul>
<li style="margin-left:0px;">Operationalize with robust MLOps</li>
</ul>

<ul>
<li style="margin-left:0px;">Set up, automate, and optimize CI/CD pipelines for models and services, streamline evaluation and monitoring, detect configuration/model drift across environments, and establish runtime observability for reliability and scale!</li>
</ul>

<ul>
<li style="margin-left:0px;">Consult, collaborate, and drive adoption!</li>
</ul>

<ul>
<li style="margin-left:0px;">Translate business and technical requirements into actionable solutions, lead demos and proofs of value, and serve as a trusted advisor to customers and internal teamsfully aligned with Solution Consultant proficiencies.</li>
</ul>

<ul>
<li style="margin-left:0px;">DevOps / MLOps</li>
</ul>

<ul>
<li style="margin-left:0px;">CI/CD pipelines: Build and maintain automated pipelines (GitLab/GitHub Actions/Azure DevOps) for AI services and model artifacts, including unit/integration tests and quality gates.</li>
</ul>

<ul>
<li style="margin-left:0px;">Infrastructure as Code: Provision and handle cloud resources with Terraform/ARM/CloudFormation; implement environment parity across dev/test/stage/prod.</li>
</ul>

<ul>
<li style="margin-left:0px;">Observability reliability: Configure logging, metrics, and tracing and set SLOs/SLIs; drive incident response and post mortems.</li>
</ul>

Required Qualifications-

<ul>
<li style="margin-left:0px;">Bachelors or masters degree in computer science or related field.</li>
</ul>

<ul>
<li style="margin-left:0px;">2+ years of experience in AI, Cloud technologies</li>
</ul>

<ul>
<li style="margin-left:0px;">Demonstrable understanding of -</li>
</ul>

<ul>
<li style="margin-left:0px;">Generative AI: Hugging Face Transformers, OpenAI/Anthropic APIs, LangChain, Llama-Index</li>
</ul>

<ul>
<li style="margin-left:0px;">Data Handling: Pandas, NumPy</li>
</ul>

<ul>
<li style="margin-left:0px;">Visualization: Matplotlib, Seaborn</li>
</ul>

<ul>
<li style="margin-left:0px;">Clod services: AWS Bedrock, Azure OpenAI Service, GCP Vertex AI</li>
</ul>

<ul>
<li style="margin-left:0px;">Superb communication and collaborator leadership skills.</li>
</ul>

<ul>
<li style="margin-left:0px;">Good to have UI development - React, JS </li>
</ul>

Cloud Consultant

Key Responsibilities- Develop and build AI solutions end to end! Architect, prototype, and deliver innovative AI tools and micro services that address concrete enterprise use cases, ensuring detailed integration with existing platforms and environments (e.g., config drift comparison across prod/UAT/dev, license insight services) as detailed in the CApS AI workstream. Embed Responsible AI by design Establish, implement, and champion standards for bias and fairness checks, data quality, inclusivity, explainability (e.g., model cards), and human centered safeguards throughout the lifecycle. Guide and influence teams on tradeoffs between performance and transparency. Harden security and ensure compliance Implement, strengthen, and supervise secure identity, data protection, and governance controls for AI workloads (model endpoints, secret/key management, auditability), aligning with corporate policies and driving cloud security standard methodologies. Operationalize with robust MLOps Set up, automate, and optimize CI/CD pipelines for models and services, streamline evaluation and monitoring, detect configuration/model drift across environments, and establish runtime observability for reliability and scale! Consult, collaborate, and drive adoption! Translate business and technical requirements into actionable solutions, lead demos and proofs of value, and serve as a trusted advisor to customers and internal teamsfully aligned with Solution Consultant proficiencies. DevOps / MLOps CI/CD pipelines: Build and maintain automated pipelines (GitLab/GitHub Actions/Azure DevOps) for AI services and model artifacts, including unit/integration tests and quality gates. Infrastructure as Code: Provision and handle cloud resources with Terraform/ARM/CloudFormation; implement environment parity across dev/test/stage/prod. Observability reliability: Configure logging, metrics, and tracing and set SLOs/SLIs; drive incident response and post mortems. Required Qualifications- Bachelors or masters degree in computer science or related field. 2+ years of experience in AI, Cloud technologies Demonstrable understanding of - Generative AI: Hugging Face Transformers, OpenAI/Anthropic APIs, LangChain, Llama-Index Data Handling: Pandas, NumPy Visualization: Matplotlib, Seaborn Clod services: AWS Bedrock, Azure OpenAI Service, GCP Vertex AI Superb communication and collaborator leadership skills. Good to have UI development - React, JS

Cloud Consultant in Mumbai (UID-15321)

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