Senior AWS AI/ML Architect

[Project Details]:

• To Identify and Develop Automations in CloudOps area around ERP / Non-ERP Applications hosted in AWS.
• Share the voice of the customer to influence the roadmap of new features and services for the AWS platform. Proactively work within the organization to influence the evolution of the platform.
• Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.
• The job of AWS AI Architect will be a core member of a technical team for the project responsible for Operations, Design, Build and supporting of High-End Automations in loud infrastructure platform for Enterprise Cloud Services.
• Serve as a key technical member of the Solutions Architecture team through influencing decision makers across multiple domains to ensure customer success in building applications and services on the AWS platform which align to long-term business goals.
• Drive technical solutions discussions with your customers, diving deep into the details to solve complex technical problems and use your knowledge to craft scalable, flexible, and resilient cloud architectures.
• Work with the team in conducting assessments of the AI and automation market and competitor landscape.

[Technology and Sub-technology]

• AWS Cloud
• AWS AL/ML

[Base Location]

• Bangalore

[Type]:

• Hybrid (2 days work from Office per week)

[Qualifications]

• Bachelors degree in computer science / Equivalent a related technical field, or equivalent practical experience
• Minimum 3+ years of experience in AI/ML technologies and cloud operations.
• 6 10 Years
• AWS Certification

[Job Overview]:

The job of AI Architect will be a core member of a technical team that’s responsible for delivering Automations on Cloud Operations, design, building and supporting cloud infrastructure platform for Enterprise Cloud Services.

The candidate must be strong in AI/ML and AWS Core services of AI with expertise in system operations of production workloads running in cloud environments (preferably AWS). He/She should be good in any of the programming languages in AI/ML

[Primary Skills]:

• Strong programming skills in Python, Java, or similar languages.
• Proficiency in cloud platforms such as AWS, Azure.
• Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience in MLOps, CI/CD pipelines, and containerization technologies like Docker and Kubernetes.
• Familiarity with cloud monitoring tools like Prometheus, Datadog, or CloudWatch.
• Strong problem-solving and analytical abilities.
• Effective communication and collaboration skills.
• Adaptability to work in fast-paced and dynamic environments.

[Good to have Skills]:

• Experience in enterprise environments.
• AWS AI/ML
• Gitlab

[Responsibilities and Duties]:

• Two or more years of experience in applying AI to practical and comprehensive technology solutions in Cloud Operations.
• Experience in program leadership, governance, and change enablement.
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Serving as the elevated L3/L4 escalation contact for critical production issues. Adhering to change management protocols while executing service requests. Actively pursuing avenues to optimize standard operating procedures by leveraging automation techniques.
• Implement automation solutions to streamline platform operations, enhancing efficiency and reliability.
• Develop and implement AI/ML algorithms to optimize cloud resource allocation, reduce costs, and enhance system performance.
• Design models for predictive scaling, fault prediction, and workload balancing in multi-cloud or hybrid environments.
• Automate repetitive tasks like infrastructure provisioning, incident resolution, and performance tuning using AI-based workflows.
• Develop chatbots and intelligent assistants for CloudOps support.
• Deploy AI-based monitoring tools to proactively identify potential issues and anomalies in cloud environments.
• Build predictive analytics solutions to foresee outages, improve uptime, and ensure business continuity.
• Collaborate with DevOps, CloudOps, and engineering teams to integrate AI/ML solutions seamlessly into existing cloud platforms.
• Develop and maintain pipelines for AI/ML model training, validation, and deployment within the cloud infrastructure.
• Stay updated with advancements in AI, ML, and cloud technologies to evaluate their potential benefits for CloudOps.
• Apply AI technologies to enhance security, detect threats, and ensure compliance with cloud policies.
• Address challenges such as data privacy and integrity when working with cloud-based AI models.
• Recommend and implement cutting-edge tools and frameworks that align with operational and business goals.
• Work closely with a diverse, multinational team to ensure the delivery of world-class cloud services tailored specifically for SAP Applications to our global enterprise clientele.
• Participate in designing and implementing strategies to optimize the customer experience and meet service level agreements (SLAs).
• Proficiency in networking encompassing TCP/IP, IP routing, NAT, and firewalls.
• Demonstrated expertise in managing network services such as DNS, LDAP, and HTTP proxies.
• Strong comprehension of IT security practices, particularly in OS hardening techniques.
• Any Amazon Web Services (AWS) certification is must especially in AI/ML
• Good working knowledge on Amazon Sagemaker, Jupyher notebook
• Certifications in Kubernetes, DevOps is satisfactory.
• Must be hands on AWS services EC2, Backup, Lambda, CloudWatch, Config, CloudTrail, IAM, KMS, CloudFormation etc.
• Implement security policies and controls (e.g. CIS, malware, anti-virus, secret management) using aws services.
• Must have knowledge to automate aws service deployment using CloudFormation / Terraform
• Strong ability to document standards, methods and produce drawings of systems and applications.
• Strong Scripting skills with any scripting languages (Python (Lambda), Bash Shell)
• Strong skills on AWS Cli and solid understanding on JSON / Yaml
• Deploying and use of configuration management tools (Chef, Ansible etc.)
• Administration of Linux / Windows servers
• Should have experience on Patch Management, Volume Management, Linux firewall, Route tables, Kernel management, Troubleshooting OS issues, etc.,
• Good knowledge on transport layer security (SSL, TLS etc.)
• Good to have knowledge on following skills:
• Basic knowledge in web servers (Apache, NGINX, IIS, etc.)
• Basic knowledge in CI/CD – Github/ Gitlab/ Gitcli