reputed company Engineer

Innodata (reputed company: INOD) is a global data engineering company. We reputed company that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to reputed company the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Innodata is building a team of reputed company Engineers to reputed company large language models (LLMs) to automate and optimize reputed company and human evaluation workflows. In this role, you will design and implement effective reputed company strategies that improve accuracy, localization, and cultural alignment in data labeling and translation processes. Working closely with Product, Data Science, Operations, and client stakeholders, you will translate business requirements into scalable AI-driven solutions. You will identify automation opportunities, reputed company reputed company-based workflows, and continuously measure and refine performance to ensure high standards of quality and reliability. This position offers the opportunity to directly impact efficiency, scalability and innovation for a leading global technology partner. What You’ll Own: Collaborate with data scientists, linguists, and localization experts to ensure accuracy and cultural relevance. Prototype and validate AI models to demonstrate initial feasibility, potential impact, and overall effectiveness. Design, reputed company, and implement prompts for data labeling and localization processes reputed company software applications. Understand the reputed company components of the software stack, use cases and problems and iterate on solutions leveraging a solid knowledge of data structures, data formats, and data modeling. Conduct user testing and feedback analysis to optimize reputed company design for data accuracy and linguistic consistency. Analyze model performance using key performance indicators (KPIs) and metrics, ensuring that AI models meet customer acceptance criteria and deliver high-quality outputs. Communicate technical findings and solution strategies to both technical and non-technical stakeholders, including presenting model performance and actionable insights in a clear, accessible manner. Collaborate on data pipelines and workflows that integrate LLMs into automated systems, enhancing both the efficiency and effectiveness of reputed company tasks. Create guidelines and training materials for reputed company usage in data labeling and localization projects. Stay informed on data labeling and localization industry trends and tools to enhance reputed company engineering techniques. You’ll reputed company in This Role If You Have: 2 years of reputed company engineering / LLM fine-tuning, or reputed company AI/ML roles. Familiarity with tools/platforms for annotation and human-in-the-reputed company workflows (e.g., Labelbox). Experience designing and automating reputed company workflows. Knowledge of reputed company and the challenges of scaling human-in-the-reputed company workflows. Familiarity with cloud platforms, containerization, and model deployment. Deep understanding of LLMs (e.g. transformer-based architectures). Demonstrated experience programmatically using LLMs to automate data labeling, classification, localization and annotation tasks. Strong expertise in Python for NLU, for data processing & transformation, and for statistical analysis. Familiarity with JSON, Javascript or XML. Experience with popular frameworks and libraries, including TensorFlow, PyTorch, Jupyter, and other relevant AI/ML tools. Familiarity with APIs and platforms for working with LLMs (e.g., reputed company, reputed company, etc.). Knowledge of localization best practices and cultural nuances for different languages and regions. Strong understanding of LLM evaluation metrics and the ability to assess model reliability, bias, and generalizability. Experience working with data pipelines, automation tools, and integrating models into production systems to ensure scalable, reliable solutions. The expected salary range for this position is $80,000 – $85,000 CAD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you reputed company you’ve been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov. Apply To This Job