Senior Software Engineer – AI/ML Platform

Job Description

Senior Software Engineer – AI/ML Platform

Join our innovative team at InnovateAI Solutions Inc., a leader in transforming industries through cutting-edge artificial intelligence and machine learning technologies. We are seeking a highly skilled and passionate Senior Software Engineer to help build, scale, and optimize our next-generation AI/ML platform, empowering data scientists and ML engineers to deliver groundbreaking solutions.

About InnovateAI Solutions Inc.

InnovateAI Solutions Inc. is a dynamic and rapidly growing tech company focused on delivering intelligent, data-driven solutions that revolutionize [mention industry, e.g., “healthcare, finance, and logistics”]. Our mission is to democratize AI by providing robust, scalable, and user-friendly platforms that accelerate the development and deployment of machine learning models. We foster a culture of innovation, collaboration, and continuous learning, encouraging our team members to tackle complex challenges and make a significant impact on real-world problems.

About the Role

As a Senior Software Engineer on the AI/ML Platform team, you will be a critical contributor in designing, developing, and maintaining the core infrastructure and services that underpin our artificial intelligence and machine learning initiatives. You will work on building scalable, reliable, and high-performance systems that support the entire ML lifecycle, from data ingestion and feature engineering to model training, serving, and monitoring. You will collaborate closely with data scientists, machine learning engineers, and product managers to understand their needs and translate them into platform features, ensuring our platform remains at the forefront of MLOps best practices.

Key Responsibilities:

• Design and Development: Lead the design, development, and implementation of highly scalable, fault-tolerant, and reliable AI/ML platform components and microservices using modern software engineering principles.
• Data Pipelines: Build and optimize robust data pipelines for efficient data ingestion, transformation, feature engineering, and preparation for ML model training and inference.
• MLOps & Lifecycle Management: Implement and improve MLOps tools, frameworks, and processes for seamless model experimentation, versioning, training, deployment, serving, and performance monitoring in production.
• Platform Optimization: Continuously identify and address performance bottlenecks, security vulnerabilities, and operational inefficiencies within the platform.
• Collaboration & Support: Collaborate closely with data scientists and ML engineers to gather requirements, provide platform support, and enable them to rapidly prototype and deploy ML models.
• Technical Leadership: Provide technical guidance, conduct code reviews, and mentor junior engineers, fostering a culture of technical excellence and best practices within the team.
• Research & Innovation: Research and evaluate new technologies, tools, and methodologies in the AI/ML ecosystem to enhance our platform capabilities and maintain our competitive edge.
• Documentation: Create comprehensive technical documentation for platform components, APIs, and MLOps workflows.

Qualifications

Required Skills & Experience:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative technical field.
• Experience: 5+ years of professional software development experience, with a significant portion focused on building scalable backend systems, distributed systems, or AI/ML infrastructure.
• Programming Languages: Strong proficiency in at least one modern programming language (e.g., Python, Go, Java, Scala). Python experience is highly preferred due to its prevalence in ML.
• Cloud Platforms: Hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure) and their managed services relevant to compute, storage, and data processing.
• Containerization & Orchestration: Solid experience with containerization technologies (e.g., Docker) and container orchestration platforms (e.g., Kubernetes).
• Distributed Systems: Strong understanding of distributed systems principles, microservices architecture, RESTful API design, and asynchronous communication patterns.
• Data Processing: Experience with big data processing frameworks (e.g., Apache Spark, Flink, Kafka Streams) and databases (SQL, NoSQL).
• Machine Learning Fundamentals: Familiarity with core machine learning concepts, common algorithms, and popular ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• MLOps Principles: Understanding of MLOps principles and challenges in deploying and managing ML models in production.
• Problem-Solving: Excellent analytical, problem-solving, and debugging skills with an ability to tackle complex technical challenges independently.
• Communication: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Preferred Skills & Experience:

• Prior experience with specific MLOps tools or platforms (e.g., MLflow, Kubeflow, Sagemaker, Vertex AI, DataRobot).
• Experience building and managing feature stores, model registries, or online/offline inference services.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Experience working with data streaming technologies (e.g., Apache Kafka, Confluent Platform).
• Contributions to open-source projects related to AI/ML or MLOps.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).

What We Offer

• Competitive Compensation: A highly competitive salary, performance bonuses, and equity package.
• Comprehensive Benefits: Robust health, dental, and vision insurance plans for you and your family.
• Work-Life Balance: Generous paid time off, flexible working arrangements, and support for a healthy work-life integration.
• Impactful Work: Opportunity to work on cutting-edge AI/ML technologies that solve real-world problems and make a significant business impact.
• Growth & Development: Dedicated budget for professional development, conference attendance, online courses, and continuous learning opportunities.
• Collaborative Culture: A dynamic, innovative, and supportive work environment where your ideas are valued and encouraged.
• Modern Workspace: State-of-the-art office facilities with amenities such as free snacks, beverages, gym access, and social events.
• Cutting-Edge Tech: Access to the latest tools, technologies, and cloud resources to empower your work.

Ready to Join Us?

If you are a passionate, experienced, and highly motivated Senior Software Engineer looking to contribute to a dynamic team and build the future of AI/ML, we encourage you to apply! Please submit your resume and a compelling cover letter detailing your relevant experience and why you believe you are a great fit for InnovateAI Solutions Inc. to our careers portal.

Equal Opportunity Employer

InnovateAI Solutions Inc. is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and respected. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, disability, age, veteran status, or any other protected status in accordance with applicable federal, state, and local laws.