Role Overview: As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will be involved in the end-to-end data engineering lifecycle—from data ingestion
Line of ServiceAdvisory Industry/SectorNot Applicable SpecialismData, Analytics & AI Management LevelSenior Associate Job Description & SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Modeler
We support peace and prosperity by building connections, understanding and trust between people in the UK and countries worldwide. For 90 years we have shaped brighter futures through education, arts, culture, language, and creativity. Working with
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients
Key Responsibilities Build and deploy enterprise-grade Generative AI and ML solutions Design scalable AI systems enabling natural language–driven automation and insights Develop and implement GenAI workflows for enterprise use cases Build LLM-powered applications for: Analytics &
Base Location: Noida (Extensive Pan-India Travel Required) Role Overview We are looking for a high-ownership, execution-first General Manager to drive cross-sell initiatives by working closely with offline business teams and partners across locations. This role is
Area(s) of responsibility Role Summary We are seeking a seasoned Senior Azure Data Engineer / Sr. Technical Lead with extensive expertise in Azure Databricks, PySpark, ADF, SQL, and modern data engineering practices. This role requires strong technical leadership,
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
The Senior AI Engineer will design, develop and deploy AI-enabled solutions to support WSP’s Land Services business, working from India as part of a multidisciplinary team supporting UK and Ireland projects. The role will focus on
About Us: At apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of
Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP). Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems. Experience with GenAI/ LLM tools (3-6
WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables
This role is for one of the Weekdays clients Salary range: Rs 2000000 - Rs 6000000 (ie INR 20-60 LPA) Experience: 4+ yrs Location: Noida, Uttar Pradesh, India Job Type: Full-Time We are looking for an
Requirements A minimum of 3+ years of Data Science experience, demonstrating strong expertise in building robust AI/ML systems and scalable application architectures. At least 2+ years of focused, hands-on experience building and deploying practical Generative AI applications,
Its fun to work in a company where people truly BELIEVE in what they are doing! Azure Data Architect Fractal is a strategic AI and analytics partner to Fortune 500 companies, powering human decisions at scale by
• Machine Learning and Cloud Engineering 50% Designing machine learning pipelines that curate datasets, train, test, and validate models,compare model performance to existing or previously catalogued models, and then package the models and either deploy them
• Strong in data mining, data visualization, and large data sets. • Experience using Python, R, SQL or equivalent languages and tools • Experience with Machine Learning and tools such as PyTorch, Caffe, TensorFlow,or Spark and ML model development
EazyML, recognized by Gartner, EazyML ( specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation, and the company is associated with breakthrough startups like Amelia.ai. This is a full-time Remote role for an
Objective / Purpose: The Clinical Data Enablement Senior Manager FSP is responsible for operating and continuously improving end-to-end clinical data pipelines across cloud-based data lake and data warehouse environments. This role builds scalable ingestion and transformation capabilities, partners closely with