Join us for a thrilling journey at the forefront of AI and cybersecurity. We drive innovation in AI, ML, and computer vision, offering a collaborative environment where research projects redefine the field. Embrace continuous learning, work with diverse stakeholders, and gain visibility through impactful presentations.

Our team fosters leadership and mentorship, making your contributions recognized. Together, we place the customer at the center of our work, ensuring real-world solutions. If you seek a dynamic, customer-centric, and innovative team where your skills will grow, join us to shape the future of technology.

We require you to be a hands-on researcher with excellent analytical skills and an intrinsic drive to overcome obstacles. You will need to be able to work closely with a diverse team to deliver high-quality, maintainable solutions in a dynamic environment.

• A master’s degree in computer science, Statistics, Data Science, or a related field.
• 6+ years of relevant work experience in data science, machine learning, or applied science, with a focus on recommendation systems.
• Solid understanding of machine learning algorithms, generative AI technologies, statistics, and data modelling techniques.
• 8+ years of experience and strong programming skills in Python and experience with other programming languages like C#, Scala, Java is a plus.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Strong communication and teamwork skills, with the ability to effectively present and explain technical concepts to diverse audiences.

• PhD with research experience in data science, machine learning and/or related fields.
• Experience developing end to end analytics solutions or ML systems for real world applications.
• Experience working at the intersection of generative AI and responsible AI, trust, and safety.
• Understanding of statistics, hypothesis testing, p-values, confidence intervals, regression, classification, optimization, Cosmos/ADL (via Scope/U_SQL/Spark)
• Ability to learn independently in new domains, including by reading academic papers.
• Ability and motivation to self-teach while entering new domains and managing through ambiguity.

Programming Languages: Python pytorch ,spark, Scala, Java and C#. Python Libraries: scikit-learn, NumPy, Pandas, NLTK, SpaCy, Textblob, Matplotlib, Seaborn, Plotly. Cloud Computing: Azure Machine Learning studio ,Mlflow, Azure Databricks/synapse.

big-data: spark,py-spark,hive,scala,,Databricks. NLP: Bag-of-Words, Word2Vec, TF-IDF, Multi text Classification, embedding attention based models and Sentiment Analysis Deep Learning: ANN, RNN, LSTM, CNN, Transfer Learning, Autoencoder, RBM , Transformers models , bert Roberta , etc Machine Learning , good knowledge of nlp and attention based models

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.