Advanced AI Applications Engineer

Job Description: Role Overview We are seeking an experienced Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning systems. This role requires deep technical expertise, leadership capability, and hands-on experience in building scalable AI solutions that drive business impact. Key Responsibilities Lead end-to-end development of AI/ML solutions from problem definition to production deploymentArchitect scalable and efficient ML pipelines and data workflowsDesign and implement advanced models (NLP, Computer Vision, Recommendation Systems, etc.)Mentor junior engineers and guide best practices in ML developmentCollaborate with product managers, data engineers, and stakeholders to translate business problems into AI solutionsOptimize model performance, scalability, and reliability in productionDrive adoption of MLOps practices (CI/CD for ML, monitoring, model governance)Conduct research and apply cutting-edge techniques in AI/MLEnsure model explain ability, fairness, and compliance standardsRequired Skills & Qualifications Bachelors/Masters/PhD in Computer Science, AI, Data Science, or related field57 years of professional experience in AI/ML developmentExperience with Large Language Models (LLMs) and Generative AIStrong expertise in Python and ML frameworks:TensorFlow, PyTorch, Scikit-learnDeep understanding of:Machine Learning algorithms (supervised, unsupervised, reinforcement learning)Deep Learning architectures (CNNs, RNNs, Transformers)Hands-on experience in productionizing ML models at scaleStrong experience with:Data engineering (SQL, ETL pipelines)Big data technologies (Apache Spark, Hadoop)Experience with cloud platforms:AWS / Azure / GCPProficiency in building APIs and microservices (FastAPI, Flask)Experience with containerization and orchestration:Docker, KubernetesStrong understanding of software engineering best practices (Git, CI/CD)Preferred Qualifications Familiarity with frameworks like Lang Chain, Hugging FaceExperience in real-time ML systems and streaming data (Kafka)Prior experience in leading teams or technical projectsPublications or contributions in AI/ML research (optional but valued)Leadership & Soft Skills Strong leadership and mentoring capabilitiesExcellent problem-solving and strategic thinkingEffective stakeholder communication and presentation skillsAbility to drive innovation and influence technical decisions Job Description: Role Overview We are seeking an experienced Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning systems. This role requires deep technical expertise, leadership capability, and hands-on experience in building scalable AI solutions that drive business impact. Key Responsibilities Lead end-to-end development of AI/ML solutions from problem definition to production deploymentArchitect scalable and efficient ML pipelines and data workflowsDesign and implement advanced models (NLP, Computer Vision, Recommendation Systems, etc.)Mentor junior engineers and guide best practices in ML developmentCollaborate with product managers, data engineers, and stakeholders to translate business problems into AI solutionsOptimize model performance, scalability, and reliability in productionDrive adoption of MLOps practices (CI/CD for ML, monitoring, model governance)Conduct research and apply cutting-edge techniques in AI/MLEnsure model explain ability, fairness, and compliance standardsRequired Skills & Qualifications Bachelors/Masters/PhD in Computer Science, AI, Data Science, or related field57 years of professional experience in AI/ML developmentExperience with Large Language Models (LLMs) and Generative AIStrong expertise in Python and ML frameworks:TensorFlow, PyTorch, Scikit-learnDeep understanding of:Machine Learning algorithms (supervised, unsupervised, reinforcement learning)Deep Learning architectures (CNNs, RNNs, Transformers)Hands-on experience in productionizing ML models at scaleStrong experience with:Data engineering (SQL, ETL pipelines)Big data technologies (Apache Spark, Hadoop)Experience with cloud platforms:AWS / Azure / GCPProficiency in building APIs and microservices (FastAPI, Flask)Experience with containerization and orchestration:Docker, KubernetesStrong understanding of software engineering best practices (Git, CI/CD)Preferred Qualifications Familiarity with frameworks like Lang Chain, Hugging FaceExperience in real-time ML systems and streaming data (Kafka)Prior experience in leading teams or technical projectsPublications or contributions in AI/ML research (optional but valued)Leadership & Soft Skills Strong leadership and mentoring capabilitiesExcellent problem-solving and strategic thinkingEffective stakeholder communication and presentation skillsAbility to drive innovation and influence technical decisions