Senior Software Engineer – AI/ML Focus

Job Description

Senior Software Engineer – AI/ML Focus

Location: Remote (US/Canada)

Are you a passionate and experienced Software Engineer with a deep expertise in Artificial Intelligence and Machine Learning? Do you thrive in a fast-paced, innovative environment where your contributions directly impact cutting-edge products? Join our dynamic team at Tech Innovations Inc. and help us build the next generation of intelligent systems!

About Tech Innovations Inc.

Tech Innovations Inc. is a leading-edge technology company dedicated to pushing the boundaries of what’s possible. We specialize in developing revolutionary AI-powered solutions that transform industries, enhance user experiences, and solve complex real-world problems. Our culture is built on collaboration, continuous learning, and a commitment to excellence. We believe in empowering our employees to take ownership, innovate fearlessly, and grow both personally and professionally within a supportive, remote-first environment.

The Role: Senior Software Engineer – AI/ML Focus

As a Senior Software Engineer with an AI/ML focus, you will be a pivotal member of our product development team. You will be responsible for designing, developing, and deploying robust, scalable, and high-performance AI/ML models and systems. This role requires a strong blend of software engineering principles, machine learning expertise, and a passion for creating impactful solutions from ideation to production. You will work closely with data scientists, product managers, and other engineers to deliver innovative features and optimize existing systems.

Key Responsibilities

• Design and Develop: Architect, develop, and maintain high-quality, production-ready AI/ML models and the underlying software infrastructure.
• Implement Algorithms: Write clean, efficient, and well-documented code for machine learning algorithms, data pipelines, and API integrations using best software engineering practices.
• Model Deployment: Lead the deployment of machine learning models into production environments, ensuring scalability, reliability, and performance.
• System Optimization: Continuously monitor, evaluate, and optimize the performance and efficiency of AI/ML systems and associated services.
• Collaboration: Work cross-functionally with data scientists to transition prototypes into robust production systems, and with product managers to understand requirements and deliver technical solutions.
• Code Review & Mentorship: Participate in code reviews, provide constructive feedback, and mentor junior engineers, fostering a culture of technical excellence.
• Research & Innovation: Stay abreast of the latest advancements in AI/ML technologies, tools, and best practices, and propose innovative solutions.
• Troubleshooting: Diagnose and resolve complex technical issues related to AI/ML models and infrastructure.

Required Qualifications

• Experience: 5+ years of professional software development experience, with at least 3 years specifically focused on AI/ML applications and systems.
• Programming Proficiency: Expert-level proficiency in Python and familiarity with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• ML Frameworks: Strong hands-on experience with major ML frameworks such as TensorFlow, PyTorch, or JAX.
• Cloud Platforms: Proven experience with cloud platforms (AWS, GCP, or Azure) for deploying and managing ML workloads and services.
• Distributed Systems: Understanding of distributed systems, microservices architectures, and experience with tools like Docker and Kubernetes.
• Data Engineering: Experience building and maintaining data pipelines (ETL/ELT) and working with various data storage solutions.
• API Development: Solid experience designing and implementing RESTful APIs for ML model inference.
• Software Engineering Principles: Deep understanding of software design patterns, data structures, algorithms, and object-oriented programming.
• Version Control: Proficiency with Git and collaborative development workflows.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related quantitative field.

Preferred Skills & Experience

• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Sagemaker).
• Familiarity with big data technologies (e.g., Spark, Kafka).
• Experience with real-time inference systems and performance optimization.
• Contributions to open-source projects or relevant publications.
• Prior experience in a remote-first or distributed team environment.

What We Offer

• Competitive Compensation: Attractive salary package, including equity options, reflecting your experience and impact.
• Comprehensive Benefits: Health, dental, and vision insurance coverage for you and your family.
• Work-Life Balance: Generous unlimited paid time off (PTO) policy and flexible working hours.
• Remote-First Culture: The flexibility to work from anywhere in the US or Canada, with support for a productive home office setup.
• Professional Development: Budget for conferences, courses, and certifications to fuel your continuous learning.
• Cutting-Edge Technology: Opportunity to work with the latest AI/ML tools and technologies on challenging problems.
• Impactful Work: Be a part of a team that is building products with significant real-world impact.
• Collaborative Environment: A supportive, inclusive, and high-performing team culture.

How to Apply

If you are a highly motivated Senior Software Engineer with a passion for AI/ML and a desire to make a significant impact, we encourage you to apply! Please submit your resume and a cover letter outlining your relevant experience and why you believe you’d be a great fit for Tech Innovations Inc. We look forward to reviewing your application!

Equal Opportunity Employer

Tech Innovations Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.