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Platform Engineer I
Gautam Buddha Nagar, Uttar Pradesh
The graduate AI Engineer is responsible for developing innovative technical solutions, integrating generative AI technologies. This graduate role requires a basic understanding of modern technical and cloud\-native practices, AI, and DevOps. You will support a wide range of customers through the “Ideation to MVP” journey, demonstrating eagerness to learn and contribute to a dynamic and innovative team.
Key Responsibilities Technical \& Engineering Leadership • Develop solutions leveraging GenAI technologies, integrating AI capabilities into cloud\-native architectures. • Assist in the design and implementation of GenAI\-driven applications, ensuring integration with microservices and container\-based environments. • Create solutions that leverage the capabilities of modern microservice and container\-based environments running in public, private, and hybrid clouds. • Collaborate on technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery • Support the engineering of GenAI solutions from ideation to MVP, ensuring performance and reliability within cloud\-native frameworks. • Assist in optimizing AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. • Contribute to the assessment of existing solutions and recommend technical treatments to transform applications with cloud\-native/12\-factor characteristics. 1 Innovation \& Initiative • Support the adoption of GenAI technologies within cloud\-native projects, enhancing AI integration in cloud services. • Engage in technical innovation and support HCL’s position as an industry leader. • Contribute to authoring whitepapers, blogs, and speaking at industry events. • Maintain hands\-on technical credibility, stay ahead of industry trends, and contribute to team learning. Client Relationships • Assist in providing guidance to clients on incorporating GenAI and machine learning into their cloud native systems, ensuring best practices and strategic alignment with business goals. • Participate in workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust\-based relationships. • Contribute to technical projects (PoCs and MVPs) with a focus on technical excellence and on\-time delivery.
Mandatory Skills \& Experience • A newly graduated developer with experience in Java or Python. • Basic understanding of software development and exposure to AI/ML technologies. • Knowledge of GenAI frameworks: Familiarity with using GenAI frameworks and libraries such as OpenAI API. • Understanding of prompt engineering: Basic experience in designing and optimizing prompts for AI models to achieve desired outputs. • Strong verbal and written communication skills (English). • Positive and solution\-oriented mindset. • Willingness to learn and grow within an Agile and Scrum project management environment.
Desired Skills \& Experience • Basic understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. • Interest in data engineering for AI: Eagerness to learn about data preprocessing, feature engineering, and creating pipelines to feed AI models with high\-quality data. • Familiarity with AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and eager to implement strategies to mitigate bias. • Basic understanding of cloud\-native technologies and DevOps practices. 2 • Willingness to pursue cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat
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