Job Summary: We are looking for an enthusiastic and analytical IT Business Analyst with 1.5 to 2 years of experience to support our technology and product teams. The ideal candidate will have a foundational understanding of software development processes and will work closely with stakeholders to define business needs, translate them into technical requirements, and ensure successful project delivery. Key Responsibilities: Collaborate with product owners, developers, QA, and end-users to gather and analyze IT-related requirements. Document detailed functional and non-functional requirements. Assist in defining project scope, objectives, and deliverables aligned with business goals. Prepare user stories, use cases, and process flow diagrams for software development teams. Participate in sprint planning, reviews, and daily stand-ups (Agile/Scrum environment). Support testing efforts including writing test cases and participating in UAT. Conduct impact analysis and support change management initiatives. Provide data-driven insights through basic data analysis and reporting. Required Skills & Qualifications: Bachelor’s degree in Information Technology, Computer Science, or a related discipline. 1.5 – 2 years of hands-on experience as a Business Analyst in the IT industry. Must have timeline exposure for at least 3-12 months. Familiarity with SDLC (Software Development Life Cycle) and Agile methodologies. Experience using tools like JIRA, Confluence, and Microsoft Office Suite. Basic knowledge of SQL and ability to perform simple data queries. Strong communication and stakeholder management skills. Ability to convert business needs into clear technical specifications.
Job description We are seeking a creative and dynamic UI/UX Designer to join our team. In this role, you will be responsible for creating visually appealing and user-friendly designs for web and mobile applications. You will work closely with cross-functional teams, including developers, product managers, and marketers, to ensure that our products meet the needs of our users. Responsibilities: Collaborate with product managers and developers to understand user needs and business requirements Design user interfaces and user experiences for web and mobile applications, using industry-standard tools such as Figma, or Adobe Creative Suite Develop wireframes, prototypes, and high-fidelity designs that effectively communicate design concepts to stakeholders Conduct user research, including surveys, usability testing, and user interviews, to gain insights into user behavior and preferences Analyze data and user feedback to continually improve our products’ user experience Collaborate with developers to ensure that designs are implemented accurately and efficiently Stay up to date with design trends, tools, and best practices, and share your knowledge with the team Participate in design reviews and critiques, providing constructive feedback to your peers Requirements: A Bachelor’s degree 1.5 years of experience in UI/UX design for web and mobile applications Proficiency in industry-standard design tools such as Figma, or Adobe Creative Suite Experience with user research methods such as surveys, usability testing, and user interviews Understanding of user-centered design principles and practices Excellent communication skills and ability to collaborate effectively with cross-functional teams Strong attention to detail and ability to produce high-quality work in a fast-paced environment Portfolio demonstrating a range of design work and your design process Show more Show less
We're on the lookout for a creative Graphic Designer with 1+ year of experience to join our growing team at fxis.ai in Ahmedabad. If you're passionate about crafting stunning visuals and motion graphics, we want to hear from you! Location: Ahmedabad Experience: 1+ Year Type: Full-Time (Onsite) Join: Immediate Joiners Preferred What You’ll Work On: Social Media Posters Promotional Videos Ad Banners Bonus: Knowledge of 3D design is a great advantage! Portfolio is mandatory – Let your work speak for itself! Show more Show less
Job Overview: We are seeking an AI Engineer (Level 2 & 3) with a deep passion for exploring AI technologies, particularly Large Language Models (LLMs) and advanced NLP techniques. The ideal candidate will have a strong foundation in deep learning architectures and experience with state-of-the-art AI frameworks. In this role, you will work on developing and deploying intelligent applications that solve real-world problems for our clients, leveraging tools like LangChain, Hugging Face, and OpenAI APIs. Key Responsibilities: • Design and Develop AI Solutions: Build advanced AI and NLP solutions focusing on large language models. Experiment with state-of-the-art Transformer architectures (e.g., BERT, GPT, LLaMA) to address complex language understanding and generation tasks. • LLM Implementation: Leverage modern AI frameworks and tools (such as LangChain, Hugging Face Transformers, OpenAI APIs, PyTorch, TensorFlow) to develop, fine-tune, and integrate LLMs into applications. Ensure models are optimized and efficient for production use. • Advanced NLP Techniques: Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in our solutions. • Prompt Engineering & Fine-Tuning: Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Experiment with prompt strategies and training techniques to optimize generative models. • Production Deployment & MLOps: Deploy and scale models in production environments, ensuring reliability and low-latency performance. Implement MLOps best practices (CI/CD pipelines, model monitoring, version control) to achieve robust, repeatable model deployments. • Cloud AI Integration: Utilize AI/ML cloud services (AWS, GCP, Azure) for model training, deployment, and infrastructure management. Optimize cloud resources to handle large-scale training and inference efficiently. • Model Optimization & Scaling: Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage. • Cross-Functional Collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI capabilities into products and solutions. Collaborate in cross-functional teams to gather requirements, brainstorm ideas, and ensure AI systems meet client needs and quality standards. • Innovation and Research: Stay up-to-date with the latest AI research, papers, and trends in the industry. Proactively experiment with new algorithms, models, and techniques to keep our solutions at the cutting edge. Required Qualifications: • Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience), plus 4+ years of hands-on experience in AI/ML engineering or a similar role. • Deep Learning & LLM Expertise: Strong foundation in deep learning and NLP, with experience in transformer-based architectures and large language models (e.g., BERT, GPT series, LLaMA). • Programming & Frameworks: Proficiency in Python programming and experience with major AI/ML frameworks and libraries – e.g., PyTorch, TensorFlow, and data libraries like NumPy, Pandas, scikit-learn. Familiarity with NLP/LLM tools such as Hugging Face Transformers, LangChain, and OpenAI APIs is highly desired. • NLP & Generation: Proven experience developing NLP solutions, including working on text generation, summarization, conversational AI, or retrieval-augmented generation (RAG) systems. • Model Tuning: Hands-on skills in prompt engineering and fine-tuning LLMs or other deep learning models to adapt them for specific tasks or domains. Experience with transfer learning and hyperparameter tuning for model optimization. • Deployment & Cloud: Experience deploying machine learning models into production environments. Familiarity with deploying.
You are seeking an AI Engineer (Level 2 & 3) with a deep passion for exploring AI technologies, particularly Large Language Models (LLMs) and advanced NLP techniques. The ideal candidate will have a strong foundation in deep learning architectures and experience with state-of-the-art AI frameworks. In this role, you will work on developing and deploying intelligent applications that solve real-world problems for our clients, leveraging tools like LangChain, Hugging Face, and OpenAI APIs. Your responsibilities will include designing and developing AI solutions focusing on large language models, experimenting with state-of-the-art Transformer architectures to address complex language understanding and generation tasks. You will leverage modern AI frameworks and tools to develop, fine-tune, and integrate LLMs into applications, ensuring models are optimized and efficient for production use. Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in solutions. Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Deploy and scale models in production environments, implementing MLOps best practices for robust, repeatable model deployments. Utilize cloud services for model training, deployment, and infrastructure management, optimizing resources to handle large-scale training and inference efficiently. Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage. Collaborate with cross-functional teams to integrate AI capabilities into products, ensuring AI systems meet client needs and quality standards. Stay up-to-date with the latest AI research, papers, and trends in the industry, experimenting with new algorithms, models, and techniques to keep solutions at the cutting edge. You should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, plus 4+ years of hands-on experience in AI/ML engineering or a similar role. Strong foundation in deep learning and NLP, experience in transformer-based architectures and large language models is required. Proficiency in Python programming and experience with major AI/ML frameworks and libraries is necessary. Proven experience in developing NLP solutions, model tuning, deployment of machine learning models, and familiarity with deploying in cloud environments is highly desired.,
We are seeking an AI Engineer (Level 2 / 3) with a deep passion for exploring AI technologies, particularly Large Language Models (LLMs) and advanced NLP techniques. The ideal candidate will have a strong foundation in deep learning architectures and experience with state-of-the-art AI frameworks. In this role, you will work on developing and deploying intelligent applications that solve real-world problems for our clients, leveraging tools like LangChain, Hugging Face, and OpenAI APIs. Responsibilities Design and Develop AI Solutions: Build advanced AI and NLP solutions focusing on large language models. Experiment with state-of-the-art Transformer architectures (e. g., BERT, GPT, LLaMA) to address complex language understanding and generation tasks. LLM Implementation: Leverage modern AI frameworks and tools (such as LangChain, Hugging Face Transformers, OpenAI APIs, PyTorch, TensorFlow) to develop, fine-tune, and integrate LLMs into applications. Ensure models are optimized and efficient for production use. Advanced NLP Techniques: Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in our solutions. Prompt Engineering and Fine-Tuning: Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Experiment with prompt strategies and training techniques to optimize generative models. Production Deployment and MLOps: Deploy and scale models in production environments, ensuring reliability and low-latency performance. Implement MLOps best practices (CI/CD pipelines, model monitoring, version control) to achieve robust, repeatable model deployments. Cloud AI Integration: Utilize AI/ML cloud services (AWS, GCP, Azure) for model training, deployment, and infrastructure management. Optimize cloud resources to handle large-scale training and inference efficiently. Model Optimization and Scaling: Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage. Cross-Functional Collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI capabilities into products and solutions. Collaborate in cross-functional teams to gather requirements, brainstorm ideas, and ensure AI systems meet client needs and quality standards. Innovation and Research: Stay up-to-date with the latest AI research, papers, and trends in the industry. Proactively experiment with new algorithms, models, and techniques to keep our solutions at the cutting edge. Requirements Education and Experience: Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience), plus 4+ years of hands-on experience in AI/ML engineering or a similar role. Deep Learning and LLM Expertise: Strong foundation in deep learning and NLP, with experience in transformer-based architectures and large language models (e. g., BERT, GPT series, LLaMA). Programming and Frameworks: Proficiency in Python programming and experience with major AI/ML frameworks and libraries - e. g., PyTorch, TensorFlow, and data libraries like NumPy, Pandas, scikit-learn. Familiarity with NLP/LLM tools such as Hugging Face Transformers, LangChain, and OpenAI APIs is highly desired. NLP and Generation: Proven experience developing NLP solutions, including working on text generation, summarization, conversational AI, or retrieval-augmented generation (RAG) systems. Model Tuning: Hands-on skills in prompt engineering and fine-tuning LLMs or other deep learning models to adapt them for specific tasks or domains. Experience with transfer learning and hyperparameter tuning for model optimization. Deployment and Cloud: Experience deploying machine learning models into production environments. Familiarity with deploying. This job was posted by Bilal Khan from Fxis.
Company Description Haveto.com is a pioneering platform that integrates artificial intelligence (AI) capabilities with blockchain technology, enabling developers to execute AI tasks securely and transparently on-chain. The platform supports multiple programming languages and offers developer-friendly tools such as Docker for efficient deployment. By combining AI processing with blockchain's decentralized nature, Haveto.com offers a versatile and innovative environment for professionals looking to leverage these technologies. Role Description This is a full-time, on-site role for a Senior Data Scientist at our Ahmedabad office. The Senior Data Scientist will be responsible for leading data analysis and interpretation projects, creating data-driven models and algorithms, and developing data visualization tools to support organizational decision-making. This role involves working closely with cross-functional teams to solve complex data problems and contribute to the development of our AI-blockchain integration platform. Qualifications Proficiency in Data Science, Data Analysis, and Data Analytics Strong skills in Statistics and Data Visualization Excellent problem-solving and critical thinking abilities Experience with machine learning algorithms and predictive modeling Proficiency in programming languages such as Python, R, or similar Ability to work collaboratively in a dynamic team environment Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or related field Experience in blockchain technology and AI integration is a plus