Senior Machine Learning Analyst - Artificial Intelligence

Job Description : We value our talented employees, and whenever possible, we strive to help one of our associates grow professionally before recruiting new talent to fill our open positions. If you think the open position you see is right for you, we encourage you to apply Our people make all the difference in our success. We leverage cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chatbots. We are looking for AI Prompt Engineers with strong engineering and full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customers and passion to transform healthcare is key to the success of this role. Responsibilities : - Build scalable software solutions using LLMs and other ML models to solve challenges in healthcare. - Build enterprise-grade AI solutions with a focus on privacy, security, and fairness. - Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions - Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required - This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. - Build extensible API Integrations and low code UI / UX solutions with extremely short cycle times to extract information from sources, integrate with GPT4 to receive insights, and make them available in intuitive, high-performing dashboards. - Build solutions that align with responsible AI practices. - Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. - Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes - Architected and developed software or infrastructure for scalable, distributed systems and with machine learning technologies. - Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions - Optimize existing generative AI models for improved performance, scalability, and efficiency. - Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. - Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. - Contribute to the establishment of best practices and standards for generative AI development within the : - Overall, 3 years of experience. - 3 years of Full stack engineering expertise with languages like C# and Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring, and logging. - Experience in implementing enterprise systems in production settings for AI, computer vision, and natural language processing. - Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. - Experience with information storage/retrieval using vector databases like pinecone. - Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embedding's. - Experience with designing scalable software systems for classification, text extraction/summary, and data connectors for different formats (pdf, csv, doc, etc). - Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, and Llama Index. - 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. - Programming experience in C / C++, Java, and Python. - Strong knowledge of data structures, algorithms, and software engineering principles. - Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. - Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. - Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. - Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. - Hands-on experience with tools/products like Dynatrace, Splunk, and Service Now preferred. - Experience in identifying KPI on solution build using Generative AI, for example, RAG-based Q& A, data summarization, text content generation, data extraction, etc., will be a big advantage. - Understanding of standards and regulation related to the use of GenAI for a US-based Health Insurance provider preferred. - Healthcare experience (preferred but not mandatory). - Degree in Computer Science, Artificial Intelligence, or a related field. (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 5/1/2025