Senior Software Engineer – AI/Machine Learning

Job Description

Senior Software Engineer – AI/Machine Learning

We are seeking a highly skilled and passionate Senior Software Engineer with a strong focus on Artificial Intelligence and Machine Learning to join our innovative team. In this role, you will be instrumental in designing, developing, and deploying cutting-edge AI/ML solutions that drive our core products and services. If you thrive in a dynamic, collaborative environment and are eager to make a significant impact, we encourage you to apply.

Key Responsibilities

• Lead the design, development, and implementation of robust, scalable, and efficient AI/ML models and systems.
• Collaborate with data scientists, product managers, and other engineering teams to translate research prototypes into production-ready solutions.
• Architect and optimize machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Develop and maintain highly available and performant microservices and APIs for AI/ML model inference.
• Evaluate and select appropriate machine learning algorithms, frameworks, and tools for specific problems.
• Contribute to the continuous improvement of our MLOps practices, including automation, monitoring, and model versioning.
• Mentor junior engineers and contribute to a culture of technical excellence and continuous learning.
• Stay abreast of the latest advancements in AI, machine learning, and relevant technologies, evaluating their potential impact.
• Participate in code reviews, design discussions, and technical strategy meetings.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field.
• Minimum of 5+ years of professional experience in software development, with at least 3 years focused on AI/Machine Learning.
• Strong proficiency in Python and experience with common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Expertise in designing, building, and deploying scalable machine learning models into production environments.
• Solid understanding of various machine learning algorithms (e.g., deep learning, NLP, computer vision, recommendation systems) and their applications.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and their ML-related services.
• Proficiency with containerization technologies like Docker and orchestration tools like Kubernetes.
• Strong understanding of software engineering best practices, including version control (Git), CI/CD, testing, and documentation.
• Excellent problem-solving skills, with the ability to analyze complex technical challenges and propose effective solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across multidisciplinary teams.

Preferred Qualifications

• Experience with distributed computing frameworks (e.g., Spark).
• Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Sagemaker).
• Prior experience with large-scale data processing and data warehousing solutions.
• Contributions to open-source projects or relevant publications.
• Domain expertise in [specific industry, e.g., e-commerce, healthcare, finance].

What We Offer

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working arrangements.
• Opportunities for professional development, including conferences and training.
• A dynamic, inclusive, and collaborative work environment.
• Impactful work on cutting-edge AI/ML technologies that directly affect our products and users.
• State-of-the-art office facilities with amenities and a vibrant company culture.
• 401(k) matching and other retirement benefits.

About [Company Name]

[Company Name] is a pioneering technology company dedicated to [briefly describe company mission/industry, e.g., “redefining the digital experience through intelligent automation and personalized solutions.”]. We are driven by innovation, a passion for technology, and a commitment to creating products that make a real difference in the world. Our team comprises some of the brightest minds in the industry, working together to push the boundaries of what’s possible in AI and beyond. Join us and be part of a company that values creativity, collaboration, and continuous growth.

How to Apply

Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and qualifications through our online application portal. Please highlight your experience with AI/ML projects and any contributions to relevant open-source communities. We look forward to reviewing your application!