3 Genai Concepts Jobs

As a Web Developer, you will collaborate with a cross-functional team to design, develop, and implement web applications using Python, Flask/Django, SQL, Azure OpenAI, and RAG implementation - Azure Open AI. You will demonstrate expertise in GenAI concepts and ensure writing clean, maintainable, and well-documented code. By conducting code reviews, you will provide constructive feedback to other developers and troubleshoot/fix bugs in existing applications. Optimizing application performance, ensuring scalability, and collaborating with UX/UI designers to implement visual elements will be crucial to enhancing user experience. Keeping up to date with industry trends and best practices in web development is essential. Your profile should include strong experience in web development using Python, Flask/Django, SQL, along with Azure OpenAI experience in creating agentic workflow/RAG implementation/AI Search. It would be advantageous to have knowledge of frontend technologies such as HTML, CSS, JavaScript, and frameworks like React. Expertise in backend development with Python and Flask/Django frameworks, solid understanding of relational databases, and proficiency in SQL are required. Familiarity with cloud technologies and services, specifically Azure, and experience with containerization technologies like Docker are beneficial. Experience with Azure OpenAI and RAG implementation - Azure Open AI is mandatory. Furthermore, a good understanding of software development fundamentals, industry best practices, strong problem-solving and analytical skills, excellent communication and collaboration skills, familiarity with version control systems like Git, and an understanding of agile software development methodologies are essential for success in this role.,

You will be responsible for leading QA automation efforts in GenAi projects using Python and JS. As an immediate joiner, you are expected to have a Bachelor's degree in computer science or related field along with at least 2 years of experience in software testing. Your strong understanding of Agile and Waterfall methodologies, testing principles, and various testing techniques and tools will be essential for this role. Excellent communication, interpersonal, and client-facing skills are also required, along with the ability to work independently and as part of a team. Strong analytical and problem-solving skills, experience with data analysis, and proficiency in GenAI concepts and technologies are necessary for success in this position. Your main responsibilities will include collaborating with clients to understand their software development processes and testing needs, identifying relevant data for test case generation, analyzing gathered data to identify patterns and areas of risk, and working closely with engineering and delivery teams to optimize the GenAI tool for each client's specific needs. Additionally, you will contribute to the improvement of data gathering processes and best practices, and configure the BOT by answering business questions and triggering it as needed. At GlobalLogic, we prioritize a culture of caring where people come first. You will have the opportunity to build meaningful connections with teammates, managers, and leaders in an inclusive environment. Continuous learning and development are key aspects of our company culture, providing you with opportunities to grow personally and professionally. You will work on interesting and impactful projects that challenge your problem-solving skills and creativity while helping clients reimagine possibilities. We believe in balance and flexibility, offering various career areas, roles, and work arrangements to help you achieve the perfect work-life balance. Integrity and trust are core values at GlobalLogic, ensuring a safe and ethical working environment for all employees. GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to innovative companies worldwide. Since 2000, we have been at the forefront of the digital revolution, collaborating with clients to create intelligent products, platforms, and services that redefine industries. Join us to be part of a high-trust organization that values integrity, trust, and continuous innovation.,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,