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Job Description
Senior Software Engineer – AI/ML Focus
[Company Name] is a pioneering technology company dedicated to revolutionizing [industry/problem domain] through innovative AI-driven solutions. We are a dynamic team of visionaries and problem-solvers, passionate about creating intelligent systems that impact millions globally. We foster a collaborative, inclusive, and high-performance environment where creativity and technical excellence are celebrated.
About the Role
We are seeking a highly motivated and experienced Senior Software Engineer with a strong focus on Artificial Intelligence and Machine Learning to join our product development team. In this pivotal role, you will be instrumental in designing, developing, and deploying scalable AI/ML solutions that drive key product features and enhance user experience. You will work across the full development lifecycle, from ideation and research to implementation and deployment, contributing significantly to our core intelligent systems.
Key Responsibilities
- Lead the design, development, and implementation of robust, scalable, and efficient AI/ML models and algorithms.
- Collaborate closely with product managers, data scientists, and other engineering teams to define requirements and translate business needs into technical solutions.
- Develop and maintain production-grade machine learning pipelines, ensuring data quality, model training, and inference efficiency.
- Optimize existing AI/ML systems for performance, scalability, and cost-effectiveness.
- Conduct code reviews, mentor junior engineers, and contribute to best practices for software development and ML operations (MLOps).
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields, evaluating and integrating new technologies as appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML systems and infrastructure.
- Document technical designs, specifications, and operational procedures thoroughly.
Qualifications
Required Skills & Experience
- 5+ years of professional software development experience, with at least 3 years focused on AI/ML applications.
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Extensive experience with data structures, algorithms, and software design patterns.
- Proven ability to design, train, evaluate, and deploy machine learning models in production environments.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with MLOps principles and tools for model versioning, monitoring, and deployment.
- Solid understanding of distributed systems and microservices architecture.
- Excellent problem-solving, analytical, and communication skills.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience.
Preferred Skills & Experience
- Experience with big data technologies (e.g., Spark, Kafka, Hadoop).
- Knowledge of Generative AI, Large Language Models (LLMs), or other advanced AI research areas.
- Familiarity with CI/CD pipelines and automated testing.
- Contributions to open-source projects or relevant publications.
What We Offer
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible work arrangements.
- Opportunities for professional development, including conferences and training.
- A vibrant, collaborative, and inclusive work environment.
- Impactful work on cutting-edge AI/ML technologies that shape the future.
- State-of-the-art office facilities with amenities, located in [City/Region].
How to Apply
If you are passionate about building intelligent systems and ready to make a significant impact, we encourage you to apply! Please submit your resume and a cover letter detailing your relevant experience to our careers page at [Link to Careers Page].
Equal Opportunity Employer
[Company Name] 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.