We are seeking a highly motivated and skilled Senior Associate Software Engineer to join our AI Platform team This role is ideal for someone passionate about building scalable reliable and high-performance AI infrastructure and services You will work closely with machine learning engineers data scientists and platform architects to design and implement core components of our AI ML platform enabling seamless development deployment and monitoring of AI models across the enterprise You will contribute to the development of reusable platform components automation of ML workflows and integration of AI capabilities into production systems This is a hands-on engineering role requiring strong software development skills cloud-native architecture experience Roles Responsibilities Design develop and maintain core components of the AI ML platform including model training pipelines deployment services and monitoring tools Collaborate with ML engineers and data scientists to understand requirements and translate them into scalable platform features Implement automation for model lifecycle management including versioning testing deployment and rollback Develop reusable libraries and APIs to support AI ML workflows and integrations Ensure platform reliability scalability and performance through rigorous testing and monitoring Support integration of security compliance and governance features into the AI platform Participate in sprint planning provide technical estimates and contribute to architectural decisions Continuously improve platform capabilities by evaluating and integrating emerging technologies Must-Have Skills Strong programming skills in Python or Java Experience building distributed systems and microservices Familiarity with MLOps tools and frameworks e g MLflow Kubeflow Airflow Experience with containerization and orchestration Docker Kubernetes Solid understanding of CI CD pipelines and DevOps practices Experience with cloud platforms AWS GCP Azure and cloud-native services Understanding AI ML lifecycle and model deployment best practices Ability to learn quickly be organized and detail oriented Good-to-Have Skills Experience with big data tools Spark Hadoop and data pipeline development Familiarity with model monitoring and observability tools Knowledge of security principles and compliance in AI systems Experience with infrastructure-as-code tools Terraform CloudFormation Exposure to GenAI technologies and frameworks e g LangChain Vector DBs Education and Professional Certifications Bachelor s degree in Computer Science Engineering or related field 5-9 years of experience in software engineering preferably in AI ML platform development Certifications in cloud platforms or AI ML technologies are a plus e g AWS AI Azure AI Engineer Google Cloud ML Soft Skills Excellent analytical and troubleshooting skills Robust verbal and written communication skills Ability to work effectively with global virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented with a focus on achieving team goals Strong presentation and public speaking skills