4 Aiml Development Jobs

As an experienced Data Science Architect, you will be responsible for architecting and delivering data-driven solutions across the full project lifecycle. Your exceptional communication skills will allow you to effectively convey complex technical concepts to both business stakeholders and engineering teams, ensuring alignment and decision-making. You will excel at translating strategic business requirements into scalable and secure technical designs and roadmaps. Your expertise in Data Science, Machine Learning (ML), and GenAI will be put to use in hands-on model development, training pipelines, and integrating GenAI to transform analytics and AI proof-of-concepts into production realities. You will leverage your deep knowledge of data architecture and pipeline development to design ETL/ELT workflows, data lakes, and real-time data platforms. Proficiency in at least one major cloud ecosystem (AWS, Azure, or Google Cloud) covering compute, storage, networking, and managed data services is essential. With 6-8 years of experience in the field, your primary skillset should revolve around Data Science, supported by expertise in Python, Data Modeling, AI/ML Development, and GenAI Fundamentals. Joining Infogain, a human-centered digital platform and software engineering company, will allow you to work with Fortune 500 companies and digital natives across various industries, leveraging technologies such as cloud, microservices, automation, IoT, and artificial intelligence to drive business outcomes. Infogain, a Microsoft Gold Partner and Azure Expert Managed Services Provider, operates globally with offices and delivery centers in multiple locations.,

Join us at NextEdge Institute of Learning and be a part of our mission to shape tomorrow's tech talent! We are currently seeking full-time Instructors/Teachers who are not only skilled but also deeply passionate about imparting in-demand tech skills. If you excel in teaching across various domains such as Web Development (Frontend + Backend), DevOps Engineering, AI/ML Development, Digital Marketing, and general Computer Fundamentals, and possess a strong understanding of applying programming languages in real-world scenarios, we would like to hear from you. A bonus if you have expertise in Full Stack Development, trending AI/ML technologies, Communication & Personality Development. The working hours for this role are from 10:00 AM to 7:00 PM, and our location is in Ibrahimpur, Near Police Chowki, North Delhi - 110036. Please note that we are a growing institute with limited resources, making it an ideal opportunity for individuals looking to grow with us rather than just work for us. If you are ready to inspire the next generation of tech professionals, we are eager to have a conversation with you. To apply, please send your resume to shanwajk113@gmail.com. (Please apply only if you are comfortable with the location.),

You will be responsible for applying advanced machine learning and AI techniques to solve real-world business problems. This includes performing data analysis, feature engineering, model development, and evaluation using Python. You will be building, testing, and deploying ML models for various use cases such as classification, regression, NLP, or forecasting. Collaboration with stakeholders to define problem statements and deliver impactful data science solutions will be a key aspect of your role. It is essential to ensure scalability, performance, and reliability of data models in production environments. You are expected to continuously research and implement the latest advancements in AI/ML algorithms and tools. Your strong foundation in Data Science principles and statistical analysis will be crucial, along with deep expertise in AI/ML algorithms including supervised, unsupervised, and deep learning techniques. Hands-on programming experience in Python and common ML libraries such as scikit-learn, pandas, NumPy, TensorFlow, and PyTorch is required. Experience working with structured and unstructured data will also be beneficial. Your ability to translate business requirements into technical solutions is essential for success in this role. With 6-8 years of experience, you should possess primary skills in Data Science and additional skills in Python, AI/ML Development, and Data Science. About the Company: Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. They engineer business outcomes for Fortune 500 companies and digital natives in various industries using technologies like cloud, microservices, automation, IoT, and artificial intelligence. Infogain accelerates experience-led transformation in the delivery of digital platforms and is recognized as a Microsoft Gold Partner and Azure Expert Managed Services Provider (MSP). With offices in multiple locations worldwide, Infogain offers a dynamic and diverse work environment for professionals in the technology sector.,

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python as primary, with knowledge of JavaScript, SQL, and NodeJS being beneficial. You must have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and understanding of Generative AI models including LLMs. Expertise in designing and implementing efficient prompts for Generative AI is necessary, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers (Flask, Django, FastAPI) for scalable AI applications is required. You should also have previous experience in Generative AI application development, especially in designing prompts for LLMs. Knowledge of SQL and NoSQL databases like MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also a must. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications is also an advantage. You should hold a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. In addition to the required experience, skills in containerization technologies (Docker), AI/ML development, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, and API/ML are necessary for this role.,