Kodiva.ai is hiring an experienced SAP Technical Consultant for one of our GCC-based clients in pune. The selected candidate will play a key role in SAP technical development, system enhancements, and end-to-end solution delivery across multiple business functions. You will collaborate with functional teams, architects, and project managers to build scalable customisations and integrations within the SAP landscape. Role Description This is a full-time on-site role for a SAP Technical Consultant based in Pune, India. The consultant will be responsible for analysing and optimising business processes, providing expert advice on SAP products and integration strategies, and ensuring seamless implementation and support of SAP solutions. Day-to-day tasks will include configuring, troubleshooting, and customising SAP systems to meet client-specific requirements while ensuring smooth integration with other systems. Qualifications Expertise in SAP products and related functionalities, including integration processes, 5-8 years Strong consulting and problem-solving skills Proficiency in business process analysis and optimisation Experience working with IDoc and system integration methodologies Excellent communication and client management skills Ability to work collaboratively in an on-site team environment Professional experience with SAP implementations and relevant certifications are a plus Bachelor’s degree in a related field such as Computer Science, Information Technology, or equivalent Roles and Responsibilities: Develop and maintain custom SAP applications using ABAP and related technologies. Design and implement OData services for SAP Fiori and other UI integrations. Create and manage SmartForms and Adobe Forms for business document generation. Integrate SAP systems with SAP BTP services and manage cloud-based extensions. Collaborate with functional consultants to understand business requirements and translate them into technical solutions. Perform code reviews, debugging, and performance optimization. Ensure adherence to SAP best practices and coding standards. Document technical specifications and maintain solution documentation. Provide support for SAP upgrades, patches, and system enhancements. About Kodiva: Kodiva.ai leverages artificial intelligence to unify skill intelligence, data, and automation processes. Our mission is to revolutionise the hiring process by enabling organisations to make smarter recruitment decisions while helping candidates achieve better career opportunities. By integrating cutting-edge technology, we create efficient and innovative solutions that benefit both employers and job seekers.
Job Summary We are seeking a skilled Machine Learning Engineer / Researcher specializing in Speech-to-Text (STT) and Text-to-Speech (TTS) systems. The candidate will design, develop, and optimize state-of-the-art speech models, contribute to research publications or open-source projects, and deploy scalable solutions. This role offers the opportunity to work on cutting-edge AI applications with high impact, including model fine-tuning, experimentation, and evaluation of speech-based ML systems. Job Roles & Responsibilities Design, develop, and deploy Speech-to-Text (STT) and Text-to-Speech (TTS) models. Conduct research and experiments to improve accuracy, latency, and robustness of speech models. Implement state-of-the-art deep learning architectures (e.g., Transformers, RNNs, Conformer models) for speech processing. Fine-tune open-source or proprietary models for domain-specific applications. Collaborate with product and engineering teams to integrate ML models into production systems. Evaluate model performance using relevant metrics and optimize pipelines for scalability. Contribute to research publications, patents, or open-source repositories showcasing your work. Mentor junior engineers or researchers on best practices in speech ML and model deployment. Cultural Expectations Strong understanding of signal processing, NLP, and deep learning applied to speech. Proven experience building or deploying STT/TTS models in research or production environments. Familiarity with Python, PyTorch, TensorFlow, Hugging Face, or related ML frameworks. Ability to document experiments, write reproducible code, and communicate technical results clearly. Awareness of emerging trends in speech AI, including self-supervised learning, RAG, or multimodal AI. Ownership of end-to-end ML pipelines, including training, evaluation, and deployment. Willingness to contribute to ESOP-driven growth-oriented environments. Hiring Process Technical assignment tailored for the role. Interview with hiring manager to assess technical skills. Live coding task to evaluate coding proficiency. Technical interview with senior member from the technical team. Final interview with Tech Lead/CTO.