5-10 years experience in data science/AI-ML/Generative AI development.
Prior hands-on experience in developing complex AI/ML solutions as an AI/Data Scientist or Engineer, in both proof of concept and production environments
Strong knowledge of Machine Learning, Deep Learning, Generative AI/LLMs, and various use cases.
Ability to apply methods such as predictive analytics, time series analysis, hypothesis testing, classification, clustering, and regression analysis.
Strong background in statistics and probability, including experience with descriptive and inferential statistical analysis.
Proficient in a core programming language such as Advanced Python, JavaScript's/ React/Angular, Scala, Spark
Experience with one or multiple databases like SQL server, Postgres, Click house, Presto
In-depth understanding of Cloud Platforms such as AWS, GCP, Azure, and ML platforms like Sage Maker.
Familiarity with Visualization Tools like Tableau, PowerBI
Experience in discovering use cases, scoping, and delivering complex solution architecture designs to diverse audiences, adapting technical depth as needed.
Understanding of DataOps, MLOps, LLMOps, Observability, DevOps, and SRE concepts.
Masters or Bachelors degree in Data Science, Computer Science, or a relevant field.
Strategic thinker with excellent analytical and problem-solving skills.
Strong communication skills, able to drive results & capable of interacting/collaborating with both business decision-makers and other AI/ML experts/coders
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full time