Data Jobs

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Other | Level: Not Applicable] About CrunchbaseCrunchbase is a predictive solution that provides intelligence on private companies, powered by the unique combinat

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Other | Level: Not Applicable] About CrunchbaseCrunchbase is a predictive solution that provides intelligence on private companies, powered by the unique combinat

[Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] About AgodaAt Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for t

As a Senior Analyst in the Core Business Analytics team, you'll support the Property, Format, and Space & Range functions, using data to optimise our store footprint, layout strategy, and space performance. Mentor mid-level analysts and contribute to capability-building across the Core Business Analytics team.

[Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Sr Consult Bus Data Analysis - GA07AESr Consultant Perf Analytics - GB07AEWe’re determined to make a difference and are proud to be an insurance company that goes well beyond

As a data analyst, you will play a critical role in uplifting the data capabilities by designing and implementing data analytics solutions to address the business needs Key responsibilities Translating business requirements into clearly defined data requirements Business analysis to understand business users requirements from the business analytics Identify and recommend new data and analytics capabilities, tools and services that will enhance our overall data science capabilities. Ensure data quality leveraging relevant tools & techniques Proactively contribute towards data process improvements, data governance, data architecture and team process improvements Design, build & maintain enterprise level business insights dashboards and reports Programming required for visualisation Analyse and interpret data trends and patterns, and communicate the key findings to various stakeholders Deliver on responsibilities and tasks pulled in a timely manner Collaborate and partner with other data analysts and data teams in the organisation Build the data dictionary Business stakeholder engagement Actively supporting strategic initiatives Business analytics (Advanced to what we currently have) Establish enterprise standards for tooling, data quality and performance measures for data implementations Requirements 10+ years’ experience in designing and developing data solutions 10+ years’ experience working with business reporting Extensive experience with data visualisation and reporting experience Strong analytical skills with the ability to problem solve in a systematic manner Development and maintenance of various reports, metrics, tools and operational dashboards Strong understanding of data visualisation and analytics concepts Previous experience in data process improvement and strong track record in data quality enhancement Ability to understand data implementation challenges and being able to tailor the analytics solutions accordingly Experience working with complex business data sets Proven problem-solving and creative thinking abilities.

Role Description We are seeking a full-time Senior Data Analyst to be the founding member of our data team. This role is focused on creating high-quality training datasets, building annotation workflows, evaluating model outputs, and ensuring data quality across our AI systems.

[Applicants: Over 200 applicants | Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Job PurposeAcuity is seeking Data Engineers (Contract) to join the Data Onboarding Engineering team. This role is focused on building and op

[Applicants: Be among the first 25 applicants | Industry: Computer Games | Type: Full-time | Level: Mid-Senior level] Location:Remote (Global)Role OverviewA5 Labs is building next-generation AI-driven detection systems designed to identify unfair pl

Senior AI Engineer – LLM Frameworks, Vector Databases & Automation Location:Chennai Experience:5+ years overall, 3+ years in AI / LLM-driven systems Job Summary: We are seeking a Senior AI Engineer to design, build, and scale LLM-powered applications using modern orchestration frameworks, vector databases, and automation platforms. Key Responsibilities: Design and develop LLM-powered systems using frameworks such as LangChain, AutoGen, and ReAct-style orchestration Build and optimize agent-based workflows for multi-step reasoning, tool use, and decision-making Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases Integrate and manage vector databases such as Pinecone, Weaviate, and Qdrant Develop and maintain AI-driven automations using platforms like n8n, Zapier, and Make.com Connect LLMs with APIs, databases, SaaS tools, and internal systems Optimize prompts, embeddings, latency, and cost across LLM workflows Ensure reliability, scalability, observability, and security of AI systems Collaborate with product, engineering, and business teams to deliver AI-first solutions Mentor junior engineers and contribute to AI architecture decisions Required Skills & Qualifications: LLM & AI Frameworks Strong hands-on experience with LangChain Experience with AutoGen and multi-agent systems Familiarity with ReAct-style orchestration and tool-augmented reasoning Experience working with OpenAI, Anthropic, or similar LLM providers Vector Databases Hands-on experience with Pinecone, Weaviate, or Qdrant Strong understanding of embeddings, similarity search, and indexing strategies Experience designing and tuning RAG pipelines Automation & Integration Experience building workflows using n8n, Zapier, and/or Make.com Ability to automate business processes using AI agents Experience integrating LLMs with CRMs, ERPs, ticketing tools, and SaaS APIs Programming & Backend Strong proficiency in Python (primary) or TypeScript Experience building APIs and backend services Familiarity with cloud environments (AWS, GCP, or Azure) Good to Have (Nice to Have): Experience with function calling, tools, and agents Knowledge of prompt engineering and evaluation frameworks Experience with fine-tuning or adapters (LoRA) Familiarity with monitoring, logging, and observability for AI systems Exposure to LLMOps / MLOps tools...