Clustering Jobs in Bangalore (Bengaluru)

ML EngineerWE ARE GRAPHENE Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research. Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally. Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free. We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!   WHAT WILL THE ENGINEER-ML DO?   Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD, Career Progression: Senior ML Engineer, ML Architect   YOU CAN EXPECT TO Work in a product-development team capable of independently authoring software products. Guide junior programmers, set up the architecture, and follow modular development approaches. Design and develop code which is well documented. Optimize of the application for maximum speed and scalability Adhere to the best Information security and Devops practices. Research and develop new approaches to problems. Design and implement schemas and databases with respect to the AI application Cross-pollinated with other teams.   HARD AND SOFT SKILLS Must Have Problem-solving abilities Extremely strong programming background – data structures and algorithm Advanced Machine Learning: TensorFlow, Keras Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning Experience with OOPs and design patterns Exposure to RDBMS/NoSQL Test Driven Development Methodology   Good to Have Working in cloud-native environments (preferably Azure) Microservices Enterprise Design Patterns Microservices Architecture Distributed Systems

Hypersonix.ai - Data ScientistAs a Data Scientist with Hypersonix (https://hypersonix.ai/), you will play a key role in translating data into insights for our clients. You will design, develop and implement processes and framework into our AI- Platform, that will help our clients make sense of the data they generate, and consume the insights to make informed decisions. Role – Analytics Job Responsibilities Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution. Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impact Deconstruct problems and goals to form a clear picture for hypothesis generation and use best practices around decision science approaches and technology to solve business challenges; Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making; Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations. Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Good thought leadership & ability to structure & solve business problems, innovating, where required Must have the ability to adapt to changing business priorities in a fast-paced business environment   Technical Expertise   Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data Should have a very good understanding of data structures and algorithms Experience leading and working independently on end-to-end projects in a fast-paced environment is strongly preferred Advanced knowledge of SQL/redshift with proficiency with Python/R Sound knowledge of advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients

Skills Required: Cloud Scaling and Performance Management Cloud Deployment Infrastructure management for high Load Scaling Experience - 2-5 Years About Us: RecoSense is a Data Science Led Venture into Recommendation, Personalization and Machine Learning Framework. Email Id: swathi@recosenselabs.com Regards, Swathi Udhyakumar