You will develop and implement KPI’s and targets covering complete Transformer portfolio and provide visibility of activity and outcomes in the dimensions listed above, the metrics for her/his performance review might include the number of CTT’s, HIIT’s, specifications influenced.
You will contribute to and follow a structured market plan combining the technical info gathered with customers while deploying a strategic overview mindset, provide customer feedback as well as strategic marketing inputs to Global and Regional Product Managers and support the market analysis, validation, competitive landscape and heat maps.
You will be responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines....
You will design and implement the platform's identity, access and security model across AWS IAM, Kubernetes RBAC and service identities, working with the storage access and security teams.
You will build the observability, alerting, capacity planning, and incident tooling for the platform. You will contribute to the SRE practice, which includes SLOs, runbooks, on-call, and post-incident reviews. You will reduce toil and MTTR.
You will own compute cost efficiency: instance and storage strategy, spot and right-sizing, bin-packing, idle reclamation, and cost attribution back to tenants....
Conduct rigorous testing and provide ongoing maintenance for applications to uphold performance and reliability standards.
Cultivate deep insights into clients' businesses and industries, leveraging this understanding to identify and capitalize on new opportunities for innovation and improvement.
Foster strong client relationships through clear and effective communication, collaborating closely with both clients and superiors to achieve project success....
Job SummaryWe are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.Key ResponsibilitiesDesign and develop AI chatbots, copilots, and LLM-powered applications.Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.Develop AI integration services and APIs for existing systems and business workflows.Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.Collaborate with software engineers, architects, product teams, and business stakeholders.Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.RequirementsBachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.3+ years of experience in AI/ML engineering, software engineering, or a related role.Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.Strong Python programming and software engineering skills.Experience with REST APIs, system integration, databases, and cloud/on-premise environments.Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.Familiarity with Docker, Git, CI/CD, and production deployment.Preferred SkillsExperience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.Experience with AWS, Azure, or Google Cloud.Knowledge of AI security, data privacy, access control, and responsible AI.
Preparing material lists needed for service activity and ensuring that all materials, parts, and equipment are available and of appropriate quality for service activities.
Planning and executing work on a first-time right approach with customers, and ensuring the job is done on time and as per quality standards.
Identifying improvement needs and potential solutions for them in the ways of working....
Preparing material lists needed for service activity and ensuring that all materials, parts, and equipment are available and of appropriate quality for service activities.
Planning and executing work on a first-time right approach with customers, and ensuring the job is done on time and as per quality standards.
Identifying improvement needs and potential solutions for them in the ways of working....