Senior Software Engineer – AI/ML Focus

Job Description

Senior Software Engineer – AI/ML Focus

About [Your Company Name]

[Your Company Name] is a pioneering technology company at the forefront of innovation, dedicated to transforming industries through cutting-edge artificial intelligence and machine learning solutions. We are a dynamic and fast-growing team of passionate engineers, data scientists, and product visionaries committed to building intelligent systems that solve complex real-world problems. Our culture thrives on collaboration, continuous learning, and pushing the boundaries of what’s possible in AI.

Join us in our mission to build the future, one intelligent system at a time.

Location

Hybrid/Remote-Friendly: This position offers flexibility, allowing you to work remotely from anywhere within the United States or Canada, or from our vibrant office in [City, State]. We believe in empowering our employees to work where they are most productive.

Job Summary

We are seeking a highly skilled and experienced Senior Software Engineer with a strong focus on AI/ML to join our innovative engineering team. In this pivotal role, you will be instrumental in designing, developing, and deploying robust and scalable machine learning systems that drive our core products and services. You will work closely with data scientists, product managers, and other engineering teams to translate complex business problems into elegant technical solutions, leveraging the latest advancements in AI and MLOps. This is an exceptional opportunity for an individual who is passionate about building intelligent applications from the ground up and has a proven track record of delivering high-quality, impactful software.

Key Responsibilities

• Lead the end-to-end design, development, and deployment of production-grade AI/ML models and services, ensuring scalability, reliability, and performance.
• Collaborate closely with data scientists to transition experimental models into robust, maintainable, and efficient production systems.
• Architect and implement robust MLOps pipelines for model training, evaluation, deployment, monitoring, and versioning.
• Conduct code reviews, provide constructive feedback, and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Optimize existing AI/ML infrastructure and algorithms for efficiency, cost-effectiveness, and latency across various cloud environments.
• Stay current with industry trends, research papers, and emerging technologies in AI, machine learning, and distributed systems, proposing and implementing innovative solutions.
• Troubleshoot and resolve complex technical issues related to ML model performance, data pipelines, and system integrations.
• Contribute to the technical strategy and roadmap for AI/ML engineering, influencing architectural decisions and technology choices.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related quantitative field.
• 5+ years of professional software engineering experience, with at least 3 years dedicated to building and deploying AI/ML systems in a production environment.
• Expert proficiency in at least one modern programming language such as Python, Java, Scala, or Go. Python is highly preferred for ML work.
• Extensive experience with mainstream AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers).
• Solid understanding of machine learning principles, algorithms (e.g., deep learning, supervised/unsupervised learning, reinforcement learning), and model evaluation techniques.
• Proven experience with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).
• Strong knowledge of distributed systems, microservices architecture, and API design.
• Experience with data processing technologies (e.g., Spark, Kafka, Flink) and database systems (SQL/NoSQL).
• Excellent problem-solving skills, with the ability to analyze complex issues and devise effective solutions.
• Strong communication and collaboration skills, capable of working effectively with cross-functional teams.

Preferred Qualifications

• Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Kubeflow, Airflow, or similar orchestration tools.
• Familiarity with containerization and orchestration technologies.
• Experience with big data technologies and large-scale data ingestion/processing pipelines.
• Background in specific AI domains such as Natural Language Processing (NLP), Computer Vision (CV), Recommender Systems, or Time Series Analysis.
• Contributions to open-source projects or relevant publications in the AI/ML community.
• Experience with A/B testing frameworks and experimental design for ML models.

What We Offer

• Competitive Salary & Equity Package: We believe in rewarding our employees for their hard work and dedication.
• Comprehensive Health Benefits: Medical, dental, and vision insurance plans for you and your family.
• Generous Paid Time Off: Enjoy ample vacation, sick leave, and company holidays.
• Flexible Work Environment: Hybrid or fully remote options to support work-life balance.
• Professional Development: Opportunities for continuous learning, conferences, workshops, and tuition reimbursement.
• 401(k) Plan with Company Match: Secure your financial future with our retirement benefits.
• Innovative Culture: Work alongside brilliant minds in a collaborative, supportive, and intellectually stimulating environment.
• Impactful Work: Contribute to projects that make a real difference and push the boundaries of technology.
• Wellness Programs: Initiatives to support your physical and mental well-being.

How to Apply

If you are a passionate and experienced Senior Software Engineer eager to make a significant impact in the AI/ML space, we encourage you to apply! Please submit your detailed resume and a cover letter outlining your relevant experience and why you are a great fit for [Your Company Name] through our careers portal: www.yourcompanywebsite.com/careers.

Equal Opportunity Employer

[Your Company Name] is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All employment decisions are based on qualifications, merit, and business need.