... applications.- Experience working with data pipelines, databases, and SQL.- Ability to rapidly prototype and build practical technical solutions.- Experience with cloud platforms such as AWS, Azure, or GCP.- Familiarity with OpenAI, Anthropic, LangChain, LangGraph, LlamaIndex, or equivalent AI technologies.- Strong ability to ...
... within enterprise analytics environments. Experience supporting training, community engagement, adoption programs, or Center of Excellence (CoE) initiatives. - AWS exposure is desirable; relevant cloud, Power BI, Fabric, or analytics certifications are an advantage. - Pharma or life sciences industry experience preferred; ...
... languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack - Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant and hybrid customer-cloud deployment models - Strong experience with data engineering ...
... Experience running a vendor bench with documented backup coverage for every critical delivery. Data Engineering, Machine Learning Engineering, Software Engineering, Cloud Platforms (GCP or AWS), Business Analysis, Test Automation. Practical familiarity with LLMs, prompt engineering, agentic systems, and AI-assisted development ...
... languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack - Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant and hybrid customer-cloud deployment models - Strong experience with data engineering ...
... large-scale data initiatives. - Deep expertise in Python, PySpark. - Strong hands-on experience with Databricks (Spark, Delta Lake, Workflows) - Strong experience with AWS (S3, IAM, Textract, Bedrock or equivalent) - Experience with design and implement scalable document ingestion pipelines using Databricks Auto Loader and AWS S3. ...
... designing and building large-scale distributed systems in the Supply Chain space. - Large system architecture design and development experience. - Experience with cloud computing with AWS. - Experience of developing container-based testing environment. - Experience with Java / IntelliJ / Spring environment. Preferred Qualifications ...
... calls on which systems need an autoscaling-policy update and which need a re-design — and know the difference. Own cost vigilance on the company's most expensive cloud resources: establish a baseline for cost per feedback record and drive it down. Partner with product engineers and PMs on upcoming use cases, with SRE on AWS ...
... experience in software development with a strong background in AI technologies, including LLMs, agents, RAG systems, and eval frameworks. Proven experience with AWS, CDK/CloudFormation, TypeScript, and Java. Strong coding and development skills with a broad understanding of technology, including algorithms, data structures, ...
... work-from-office, 2 days work-from-home in Pune) - Early joiners preferred to accelerate project delivery Experience with timeseries databases (e.g., KDB/Q) or public cloud (AWS) Accredited Agile practitioner (e.g., SAFe Agilist, Certified ScrumMaster) Experience coaching distributed teams in prepaid services or payments domains ...
... secret-management tools - Renovate/Dependabot housekeeping at scale - Test-driven development for pipeline-as-code and infrastructure modules - Small-footprint cloud infra (Azure preferred, AWS also fine) Benefits and perks… - Real Release Problem : Three platforms, four channels, sensitive customer segments to solve for ...
... domain-specific validation of LLM outputs. Vector databases: Pinecone, Weaviate, ChromaDB, FAISS, or HANA Cloud Vector Engine. Cloud AI platforms: SAP BTP (primary), AWS, Azure, or GCP. Kubernetes/Docker, CI/CD for AI systems. Data Engineering: Spark/Databricks, data pipeline design, and big-data ecosystems. HANA Cloud query design ...
... job-related experience Strong experience with SQL, relational and NoSQL databases Hands-on experience building and maintaining large-scale data pipelines in cloud environments (Azure or AWS) Experience with Databricks or Snowflake and distributed data processing frameworks (e.g., Familiarity with feature stores, vector ...
... industry-standard Telemetry , Logging , and Monitoring tools. Preferred Qualifications - Experience with Infrastructure as Code (IaC) tools such as Terraform , CloudFormation , or AWS CDK , along with modern CI/CD pipelines. - Expertise with AWS Cloud Services (Compute, Storage, Networking, Security), alongside Docker , Kubernetes ...
... Strong command of MS Office and data visualization tools such as Power BI. Practical experience with Deep Learning and Agentic AI Proficiency with Snowflake and AWS Experience with GitHub, DBT, Copilot, and cloud-native tools Bachelor's degree in statistics, economics, mathematics, engineering, or a related quantitative discipline ...
... for analytics and visualization.- Understanding of model explainability and responsible AI practices.- Familiarity with containerization (Docker) and orchestration (Kubernetes).- Exposure to cloud platforms (Azure or AWS) for ML workloads.- Contributions to open-source ML projects or technical blogs. (ref:hirist.tech)
... expertise in Python, Generative AI, LLMs, and RAG.- Strong knowledge of Machine Learning algorithms and solution design/storyboarding.- Practical experience with AI Cloud Services AWS, Azure, or GCP; PySpark/Scala and Big Data technologies are a plus.- https://jobeax.com/link/5Im6Nfh21WlEEm2q MSc, MBA, or MTech in Statistics, ...
... Science, or a related field - * 5+ years of production level experience in one of: Python, Java or similar - language - * Experience developing large-scale distributed systems - * Experience with cloud technologies, e.g. AWS, Azure, GCP, or Kubernetes - * Experience with security and systems that handle sensitive data
... https://jobeax.com/link/JSd7UYCSg572jJDY, with a deep understanding of modern web frameworks like React.js.- Proven ability to manage full-stack development lifecycles within cloud-native environments, specifically leveraging AWS services for infrastructure and deployment.- Strong proficiency in MERN stack development, with a track record ...