Senior Software Engineer

Requirements

• Knowledge of machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI.
• 5+ years of professional experience in a technical role developing, training, evaluating and deploying ML solutions at scale for real-world problems.
• 5+ years of experience as a software engineer, developing and shipping software in Python, C#, Java or modern language equivalent.
• Familiarity with ML frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, Keras, etc.
• Experience in handling large datasets and working with data processing frameworks (Apache Spark, Hadoop etc.).
• Hands-on experience with cloud platforms like Azure, AWS or GCP for deploying and scaling machine learning models.
• Excellent cross-group and interpersonal skills, with the ability to articulate solutions.
• Bachelors/Master’s degree with relevant coursework toward Computer Science, Data Science, Statistics, Machine Learning, Data Mining and equivalent work experience.

Nice to Haves

• Experience in designing and implementing MLOps strategies for model deployment, monitoring, and governance.
• Familiarity in deep learning architectures (Transformers, CNNs, RNNs) and knowledge of Natural Language Processing (NLP).
• Knowledge of containers (Docker) and orchestration tools like Kubernetes.
• Strong analytical mind and a confident decision-maker.
• Excellent computer science fundamentals in algorithmic design, data structures, and analyzing complexity.
• Ability to balance competing demands and adapt to changing priorities.
• Experience mentoring junior engineers and data scientists, providing technical guidance and code reviews.

What You'll Be Doing

• Design, develop, and implement robust and scalable software applications that utilize generative AI techniques.
• Integrate LLMs and NLP into software solutions for tasks such as content recommendations, summarization, translation, and retrieval.
• Optimize generative AI models and their performance for specific use cases.
• Help establish and drive the adoption of good coding standards and patterns.
• Help identify opportunities to improve and optimize existing systems using generative AI.
• Stay up-to-date with the latest trends and technologies in generative AI.

Perks and Benefits

• Microsoft is an equal opportunity employer and offers competitive benefits.
• Benefits/perks listed may vary depending on the nature of your employment with Microsoft and the country where you work.