Back
Mid-level GenAI/ML role with common cloud and Python requirements attracting moderate competition.
Core ML/AI and cloud skills are transferable, though healthcare domain knowledge adds moderate specialization.
Preferred BTech from Tier1/2 and specific GenAI, cloud, and tooling knowledge impose moderate filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, test, and operationalize data science and machine learning analytical solutions with internal and external partners.
Leverage diverse data types (transactional, big data, structured/unstructured) to build analytics solutions that drive business value.
Ensure adoption of AI and analytics solutions by business teams through collaboration and communication.
3+ years of experience in data science or machine learning analytics.
Bachelor's degree in engineering (BTech/BE) preferably from Tier 1 or Tier 2 Indian engineering schools.
Proficient in Python, SQL, with experience in ML/LLM pipeline design, RAG, and prompt engineering.
Experience with cloud platforms and tools such as GCP, BigQuery, Google Cloud Storage, Google Looker, Databricks, and API management with ApigeeX.
Strong hands-on expertise in ML/LLM pipeline design and operationalizing scalable AI solutions leveraging GenAI and Classic ML.
Experienced in developing cloud-based microservices integrating security, monitoring, and analytics.
Comfortable working in Agile and SCRUM environments with good communication and cross-team storytelling skills.