Associate Research Scientist (AI/ML)

• Design, build, and deploy GenAI/ML solutions leveraging NLP, vector search, MCP forecasting, and predictive analytics to enable intelligent insights and proactive monitoring.
• Develop predictive monitoring and anomaly detection models integrated with cloud-native architecture, Kubernetes, and pod-level telemetry.
• Operationalize ML models with a strong observability mindset, ensuring reliability, performance, and scalability across distributed systems.
• Integrate and optimize monitoring platforms such as Datadog and Coralogix to deliver end-to-end ML, application, and infrastructure visibility.
• Proven experience across cloud platforms, with a strong focus on Azure and optional experience in AWS/GCP.
• Develop and implement AI/GenAI models and algorithms using Python programming language, jointly with knowledge about and similar AI/GenAI libraries.
• Utilize ML fundamentals to solve real-world problems. This includes deep learning, optimization techniques, Natural Language Processing (NLP), Large Language Models (LLMs), or Retrieval Augmented Generation (RAG).
• Work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end ML pipelines.
• Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/GenAI solutions.
• Optimize and fine-tune AI/GenAI models for performance and efficiency.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 2+ years of professional experience in AI/ML development, with a focus on NLP and vector search.
• Strong proficiency in Python programming language.
• In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, LLMs and RAG
• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.

Qualifications

• Strong proficiency in Python programming language.
• In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, and LLMs.
• Experience with cloud computing platforms (knowledge of multi cloud platform) Azure is primary , AWS/GCP is a plus).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to thrive in a fast-paced, dynamic environment.

• Flexible working environment

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)