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Maharashtra, India
Onsite
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Job Description
We are seeking a Data Scientist to develop next-generation Security Analytics products. You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions.
The ideal candidate has a strong background in machine learning, especially in the NLP/GenAI domain.
Responsibilities:
Design, develop, and deploy Machine Learning models.
Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems.
Leverage Large Language Models (LLMs) to build GenAI capabilities to drive business impact.
Create insightful data visualizations, technical reports, and presentations to communicate findings to technical and non-technical audiences.
Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement.
Requirements:
BS, MS, or Ph.D. in Computer Science, Statistics, or a related field.
2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization.
Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs.
Expertise in NLP techniques like Named Entity Recognition, Information Retrieval, Text classification, Text-to-Text Generation etc.
Familiarity and working experience of GenAI applications, Experience with prompting, fine-tuning and optimizing LLMs.
Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field.
Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM etc.
Strong programming skills in Python and/or Java.
Experience in SQL, Pandas, and PySpark for efficient data manipulation.
Familiarity with microservice architectures, CI/CD, MLOps best practices.
Strong communication, problem-solving, and analytical skills; a collaborative team player.
Nice to Have:
Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch.
Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR).
Prior experience applying AI/ML to cybersecurity use cases.
Basic proficiency in Unix/Linux environments for scripting and automation.