Expert AI Engineer
Job Title: Expert AI Engineer Location: REMOTE The pay range for this role is $125K Max per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate. Key Responsibilities - Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. - Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. - You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. - We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary - Seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission - AI Model Development – Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. - End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. - Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration – Implement and optimize AI models within Gainwell's existing technology stack, collaborating with software engineers to ensure seamless integration. - Performance Optimization – Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices. - AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we're looking for - Advanced Education: Master's or Ph.D. in Computer Science, AI, Data Science, or a related field. - Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision. - Technical Proficiency: Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. - Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). - Domain Knowledge: Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS.