Lead AI/ML Systems Developer (Hyderabad)

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 deployment - Architect scalable and efficient ML pipelines and data workflows - Design and implement advanced models (NLP, Computer Vision, Recommendation Systems, etc.) - Mentor junior engineers and guide best practices in ML development - Collaborate with product managers, data engineers, and stakeholders to translate business problems into AI solutions - Optimize model performance, scalability, and reliability in production - Drive adoption of MLOps practices (CI/CD for ML, monitoring, model governance) - Conduct research and apply cutting-edge techniques in AI/ML - Ensure model explain ability, fairness, and compliance standards Required Skills & Qualifications - Bachelors/Masters/PhD in Computer Science, AI, Data Science, or related field - 57 years of professional experience in AI/ML development - Experience with Large Language Models (LLMs) and Generative AI - Strong expertise in Python and ML frameworks: - TensorFlow, PyTorch, Scikit-learn - Deep understanding of: - Machine Learning algorithms (supervised, unsupervised, reinforcement learning) - Deep Learning architectures (CNNs, RNNs, Transformers) - Hands-on experience in productionizing ML models at scale - Robust experience with: - Data engineering (SQL, ETL pipelines) - Big data technologies (Apache Spark, Hadoop) - Experience with cloud platforms: - AWS / Azure / GCP - Proficiency in building APIs and microservices (FastAPI, Flask) - Experience with containerization and orchestration: - Docker, Kubernetes - Strong understanding of software engineering best practices (Git, CI/CD) Preferred Qualifications - Familiarity with frameworks like Lang Chain, Hugging Face - Experience in real-time ML systems and streaming data (Kafka) - Prior experience in leading teams or technical projects - Publications or contributions in AI/ML research (optional but valued) Leadership & Soft Skills - Strong leadership and mentoring capabilities - Excellent problem-solving and strategic thinking - Effective stakeholder communication and presentation skills - Ability 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 deployment - Architect scalable and efficient ML pipelines and data workflows - Design and implement advanced models (NLP, Computer Vision, Recommendation Systems, etc.) - Mentor junior engineers and guide best practices in ML development - Collaborate with product managers, data engineers, and stakeholders to translate business problems into AI solutions - Optimize model performance, scalability, and reliability in production - Drive adoption of MLOps practices (CI/CD for ML, monitoring, model governance) - Conduct research and apply cutting-edge techniques in AI/ML - Ensure model explain ability, fairness, and compliance standards Required Skills & Qualifications - Bachelors/Masters/PhD in Computer Science, AI, Data Science, or related field - 57 years of professional experience in AI/ML development - Experience with Large Language Models (LLMs) and Generative AI - Strong expertise in Python and ML frameworks: - TensorFlow, PyTorch, Scikit-learn - Deep understanding of: - Machine Learning algorithms (supervised, unsupervised, reinforcement learning) - Deep Learning architectures (CNNs, RNNs, Transformers) - Hands-on experience in productionizing ML models at scale - Robust experience with: - Data engineering (SQL, ETL pipelines) - Big data technologies (Apache Spark, Hadoop) - Experience with cloud platforms: - AWS / Azure / GCP - Proficiency in building APIs and microservices (FastAPI, Flask) - Experience with containerization and orchestration: - Docker, Kubernetes - Strong understanding of software engineering best practices (Git, CI/CD) Preferred Qualifications - Familiarity with frameworks like Lang Chain, Hugging Face - Experience in real-time ML systems and streaming data (Kafka) - Prior experience in leading teams or technical projects - Publications or contributions in AI/ML research (optional but valued) Leadership & Soft Skills - Strong leadership and mentoring capabilities - Excellent problem-solving and strategic thinking - Effective stakeholder communication and