13 Feature Stores Jobs

You will be responsible for leading the Data Center of Excellence (CoE) and driving growth in Data Engineering & Analytics areas. Your key responsibilities will include: - Driving the growth of the Data CoE by developing capabilities and differentiators in data architecture, data engineering, data analytics, data quality, and governance. - Scaling the Data Engineering practice by establishing foundational standards, hiring top talent, and building NextGen data solutions, methodologies, and frameworks. - Defining and executing data modernization strategies to enable real-time analytics, AI/ML adoption, and enterprise-wide digital transformation. - Designing and delivering modern data platform...

Job Description About Diageo: Diageo is the world's leading premium drinks company with Outstanding collection of brands, such as Johnnie Walker, Smirnoff, Baileys, Captain Morgan, Tanqueray and Guinness. With over 200 brands in 180 countries and a global network of daring individuals, our teams blend a diverse range of experience, knowledge and skills. We connect customers and consumers to our iconic products and build innovative experiences that bring people together to celebrate life. Who we are: The Digital & Technology vision is to own the way in the transformation of Diageo business capabilities, demonstrating data & digital technology, to build a driven edge in the marketplace. About ...

As a skilled DevOps Engineer with strong MLOps expertise, you will be responsible for the following key responsibilities: - Designing, implementing, and maintaining CI/CD pipelines for ML model training, testing, and deployment. - Managing containerization & orchestration using Docker and Kubernetes. - Automating infrastructure provisioning using Terraform/CloudFormation. - Implementing and managing MLOps tools such as Kubeflow, MLflow, Airflow, SageMaker, etc. - Ensuring scalability, reliability, and monitoring of ML/AI production systems. - Working closely with data scientists and ML engineers to operationalize ML models. - Developing automation scripts in Python/Bash to streamline workflo...

Role Overview The CXM - Personalization Lead will be responsible for defining and executing the strategic vision for omnichannel, real-time personalization across the banking customer lifecycle. This senior leadership role requires deep expertise in the BFSI domain, advanced customer analytics, data-driven experience design, and a proven track record of driving significant, measurable commercial value through personalization at scale. The Director will lead and govern personalization efforts across product, marketing, and service channels, acting as the primary thought leader and executive partner. Key Responsibilities Personalization Strategy & Vision Define and champion the long-term perso...

Mobikwik is India's leading Digital Financial Services platform & Largest Digital Wallet, trusted by over 167 million users & 4.4 million businesses. As a pioneer in the Fintech space, Mobikwik empowers its users with a robust suite of services, including Digital payments, Credit & Investments. Recently, Mobikwik achieved a significant milestone with its Initial Public Offering (IPO), marking a new chapter in its journey of innovation & growth. With a mission to democratize financial inclusion, Mobikwik continues to transform how Indians manage their money, offering secure, seamless & user-friendly solutions that cater to a diverse range of financial needs. Job Title: Associate Vice Presiden...

As an AI Engineer at our company, you will play a critical role in developing platforms and solutions that transform how work is done in the Service and Operations Management space. You will collaborate with other members of the R&D organization to deliver AI software, including data engineering, prompt engineering, algorithms, and APIs. Your performance will be measured based on your ability to produce production-ready code, create rapid prototyping opportunities, and maintain high code quality through code reviews. Additionally, you will work closely with DevOps and MLOps teams to ensure a modern, well-architected, and well-instrumented deployment and testing pipeline. **Responsibilities:*...

As an MLOps Engineer, your role will involve designing, implementing, and maintaining scalable machine learning pipelines and infrastructure. You should have a strong understanding of ML lifecycle management, CI/CD for ML models, and cloud platforms to ensure seamless integration between data science and production environments. Key Responsibilities: - Build, deploy, and manage end-to-end ML pipelines from experimentation to production. - Develop and maintain CI/CD workflows for ML models. - Automate training, testing, monitoring, and retraining processes. - Manage model versioning, deployment, and scaling in production environments. - Ensure observability, logging, and monitoring for ML mod...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments...

Location - Airoli, Mumbai Contract Duration - 9 months (Extendable to a year) Key Responsibilities: Design and implement scalable data intelligence platforms that integrate structured and unstructured data sources. Develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation. Collaborate with data engineers, ML engineers, and product teams to deploy AI solutions into production environments. Build and maintain data pipelines , feature stores, and model monitoring systems. Apply prompt engineering techniques to optimize LLM performance for business use cases. Conduct experiments and A/B testing to ...

Enterpret is a cutting-edge company specializing in AI-native applications that harness the potential of customer feedback to benefit businesses. By consolidating feedback from various sources, Enterpret transforms it into actionable insights that drive customer-centric decisions for teams at renowned companies such as Perplexity, Notion, Canva, and Figma. With the support of notable investors like Kleiner Perkins and Peak XV, Enterpret is revolutionizing how businesses comprehend and respond to the voice of their customers. As the LLMOps Architect at Enterpret, you will play a pivotal role in fine-tuning LLM models, managing prompts, conducting evaluations, optimizing for cost efficiency, a...

As an AI Engineer at Xurrent, you will play a crucial role in the development of platforms and solutions that drive the transformation of Service and Operations Management through AI technologies. Your primary responsibilities will involve collaborating with the R&D team to deliver AI software encompassing data engineering, prompt engineering, algorithms, and APIs. Your performance will be gauged based on your ability to generate production-ready code, prototype swiftly for stakeholders, and maintain high code quality as a senior member of the team. You will also be responsible for conducting code reviews and working closely with DevOps and MLOps to ensure a robust deployment and testing pip...

Role & responsibilities Experimenting with new Generative AI models Developing proof of concepts and pilots for various Generative AI and Agentic AI use cases Collaborating with Solution Architects and Enterprise Architects Evangelizing Generative AI and AI adoption within the bank Creating and presenting demos to promote reference architectures Experience: 5+ years of relevant experience Skills: 1. Programming Languages: a. Python 2. Machine Learning Frameworks: a. PyTorch b. TensorFlow 3. Experience with Generative AI Models: a. GANs (Generative Adversarial Networks) b. VAEs (Variational Autoencoders) c. Transformers 4. Cloud Platforms: a. AWS (Amazon Web Services) b. GCP (Google Cloud Pla...

House of Shipping is seeking a high-caliber Data Science Lead to join their team in Hyderabad. With a background of 15-18 years in data science, including at least 5 years in leadership roles, the ideal candidate will have a proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing. Strong expertise in statistical learning, ML architecture, productionizing models, and impact tracking is essential for this role. As the Data Science Lead, you will be responsible for leading enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This position requires a blend of technical...