Role & responsibilities Develop and maintain Laravel-based web applications, ensuring their performance, reliability, and security. Collaborate with cross-functional teams to gather requirements and contribute to technical planning. Write clean, maintainable, and efficient code following best practices. Troubleshoot and debug issues, conduct thorough testing, and optimize performance. Stay updated with the latest Laravel and PHP trends, tools, and frameworks. Preferred candidate profile Strong proficiency in Laravel framework with demonstrable experience in complex applications. Excellent knowledge of PHP and Object-Oriented Programming (OOP) concepts. Experience with front-end technologies including HTML5, CSS3, JavaScript, and jQuery. Strong experience with MySQL and efficient SQL query writing. Familiarity with Git version control system. Good understanding of SDLC and Agile methodologies. Proactive approach, strong problem-solving skills, and attention to detail. Good communication skills and a collaborative mindset. Skills Required Laravel Framework PHP Programming OOP Principles HTML5, CSS3, JavaScript, jQuery MySQL & SQL Optimization Git Version Control Debugging and Troubleshooting Agile Development Practices Collaboration and Communication Time and Task Management
Experience: 3+ years of experience in designing and developing AI solutions. Qualification: Bachelor s degree in Computer Science, Data Science, or a related field (e.g., Mathematics, Engineering) Location: Should be based out of Surat or ready to relocate to Surat Position Overview We are seeking a highly skilled and experienced Senior AI/ML Developer to lead the development and integration of advanced AI solutions within our product ecosystem. This role involves close collaboration with cross-functional teams including product managers, data scientists, and engineers to build AI models that solve real-world integration challenges. The ideal candidate will have a strong foundation in machine learning, deep learning, and software development, along with hands-on experience deploying AI models in production environments. What Youll Be Doing Collaborating with product managers, engineers and data scientists to align AI solutions with product functionalities. Designing and developing AI models for challenges like document data extraction, data transformation, pattern recognition and data mapping Applying machine learning algorithms and deep learning architectures and transformer models to build scalable AI models. Working with data engineers to prepare, clean, and transform data for AI applications. Training, evaluating, optimizing and fine-tuning AI models to ensure high performance and accuracy. Monitoring deployed AI functionalities, troubleshooting issues, and driving continuous improvement. Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. Keeping abreast of the latest AI research, trends, and innovations relevant to integration technologies. What You Bring to the Table Bachelors degree in computer science, Data Science, Mathematics, Engineering, or a related field. 3+ years of experience in designing and implementing AI/ML solutions. Demonstrated ability to integrate AI models into production software. Excellent analytical thinking, communication, and problem-solving abilities. Ability to work autonomously as well as in a collaborative team setup. Skills Required Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models. LLM and NLP Experience: Hands-o n experience working with LLMs, RAG architecture, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. Experience with LLM fine-tuning, prompt engineering, vector databases (e.g., Pinecone, FAISS) is highly desirable. Test Harness Automation for LLM Agents Familiarity with agent frameworks (e.g., Semantic Kernel, AutoGen, Lang Chain, etc.). Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc. containerization (Docker), and API frameworks (Flask, Fast API). Integration Knowledge: API development, data transformation, system integration Soft Skills: Communication, teamwork, adaptability, critical thinking