Company : Microsoft
Job Role : Senior Software Engineer - AI/ML
Experience : Experienced
Qualification : Degree
Location : Hyderabad, Telangana, India
Responsibilities :
✔️Create, develop, and deploy resilient and scalable software applications that leverage generative AI methodologies.
✔️Incorporate large language models (LLMs) and natural language processing (NLP) into software solutions for functions such as content suggestions, summarization, translation, and information retrieval.
✔️Enhance the performance of generative AI models tailored to specific applications.
✔️Contribute to the establishment and promotion of effective coding standards and practices.
✔️Assist in identifying opportunities for the enhancement and optimization of existing systems through the use of generative AI.
✔️Remain informed about the latest advancements and trends in the field of generative AI.
✔️Other: Exemplify our Culture and Values.
Qualification & Experience :
✔️Proficiency in machine learning algorithms and principles, including supervised learning, unsupervised learning, and deep learning, particularly in the context of generative AI.
✔️Over 8 years of professional experience in a technical capacity focused on the development, training, evaluation, and deployment of machine learning solutions at scale to address real-world challenges.
✔️More than 5 years of experience as a software engineer, proficient in developing and delivering software using Python, C#, Java, or other contemporary programming languages.
✔️Acquainted with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
✔️Experience in managing large datasets and utilizing data processing frameworks like Apache Spark and Hadoop.
✔️Practical experience with cloud services such as Azure, AWS, or GCP for the deployment and scaling of machine learning models.
✔️Strong interpersonal and cross-functional collaboration skills, with the capability to clearly communicate solutions.
✔️Bachelor's or Master's degree with relevant coursework in Computer Science, Data Science, Statistics, Machine Learning, Data Mining, or equivalent professional experience.
Required Qualifiexperienc:
✔️Proficient in the design and execution of MLOps strategies pertaining to model deployment, monitoring, and governance.
✔️Acquainted with deep learning frameworks, including Transformers, CNNs, and RNNs, along with expertise in Natural Language Processing (NLP).
✔️Familiar with containerization technologies such as Docker and orchestration platforms like Kubernetes.
✔️Possess a strong analytical mindset and demonstrate confidence in decision-making.
✔️Exhibit solid foundational knowledge in computer science, particularly in algorithm design, data structures, and complexity analysis.
✔️Capable of managing competing priorities and adapting to evolving demands.
✔️Experienced in mentoring junior engineers and data scientists, offering technical support and conducting code reviews.
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