Senior Software Engineer, AI/ML Platform

Job Description

Senior Software Engineer, AI/ML Platform | InnovateTech Solutions

The Tone:
This is a full-time role at InnovateTech Solutions, with flexible work environment and remote options available. InnovateTech Solutions pioneers the use of cutting-edge technology to address global challenges, empowering businesses and individuals with intelligent, scalable, and secure software solutions. This role is instrumental in developing and maintaining the foundational infrastructure for our next-generation AI and machine learning initiatives, directly contributing to product innovation and customer value.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Remote options available

• Team: AI/ML Platform team
• Mission: To design, build, and maintain the core infrastructure that powers next-generation artificial intelligence and machine learning initiatives.
• Tech Stack: Python, Go, Java, Scala, AWS, GCP, Azure, S3, EC2, Lambda, EKS, GKE, SQS, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Scikit-learn, Spark, Flink, Prometheus, Grafana, ELK Stack, Terraform, CloudFormation

What You’ll Actually Do
• Design and develop highly scalable, reliable, and performant AI/ML platform components and services using modern cloud technologies.
• Build and maintain robust data pipelines and ML-specific workflows for data ingestion, feature engineering, model training, and inference at scale.
• Collaborate closely with data scientists, ML engineers, and other software engineering teams to translate their needs into platform features and capabilities.
• Implement and optimize CI/CD pipelines for ML models, ensuring efficient deployment, monitoring, and version control.
• Drive best practices in software engineering, including code quality and testing, while mentoring junior engineers and contributing to team excellence.

The Must-Haves
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience: 5+ years of professional experience in software development, with a strong focus on backend systems, distributed systems, or platform engineering, and demonstrated experience with cloud platforms (e.g., AWS, GCP, Azure).
• Skills: Proficiency in at least one modern programming language (Python preferred), solid understanding of data structures, algorithms, and software design principles, and experience with containerization technologies (Docker, Kubernetes) and microservices architecture.
• Bonus: Experience building and scaling AI/ML platforms or MLOps tools, familiarity with ML frameworks (TensorFlow, PyTorch), big data technologies (Spark, Flink), monitoring tools (Prometheus, Grafana), and infrastructure as code (Terraform).