Machine Learning (ML) Jobs in Bangalore (Bengaluru)

Couture.ai is building a patent-pending AI platform targeted towards vertical-specific solutions. The platform is already licensed by Reliance Jio and few European retailers, to empower real-time experiences for their combined >200 million end users. For this role, credible display of innovation in past projects is a must. We are looking for hands-on leaders in data engineering with the 5-11 year of research/large-scale production implementation experience with: - Proven expertise in Spark, Kafka, and Hadoop ecosystem. - Rock-solid algorithmic capabilities. - Production deployments for massively large-scale systems, real-time personalization, big data analytics and semantic search. - Expertise in Containerization (Docker, Kubernetes) and Cloud Infra, preferably OpenStack. - Experience with Spark ML, Tensorflow (& TF Serving), MXNet, Scala, Python, NoSQL DBs, Kubernetes, ElasticSearch/Solr in production. Tier-1 college (BE from IITs, BITS-Pilani, IIITs, top NITs, DTU, NSIT or MS in Stanford, UC, MIT, CMU, UW–Madison, ETH, top global schools) or exceptionally bright work history is a must. Let us know if this interests you to explore the profile further.

Couture.ai is building a patent-pending AI platform targeted towards vertical-specific solutions. The platform is already licensed by Reliance Jio and few European retailers, to empower real-time experiences for their combined >200 million end users. For this role, credible display of innovation in past projects (or academia) is a must. We are looking for a candidate who lives and talks Data & Algorithms, love to play with BigData engineering, hands-on with Apache Spark, Kafka, RDBMS/NoSQL DBs, Big Data Analytics and handling Unix & Production Server. Tier-1 college (BE from IITs, BITS-Pilani, top NITs, IIITs or MS in Stanford, Berkley, CMU, UW–Madison) or exceptionally bright work history is a must. Let us know if this interests you to explore the profile further.

Looking for senior data science researchers. Basic Qualifications: ∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes. ∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems. ∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc). ∙Strong working knowledge of deep learning, machine learning, and statistics. - Deep domain understanding of Personalization, Search and Visual. ∙Strong math skills with statistical modeling / machine learning. ∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow. ∙Experience in using Python, statistical/machine learning libs. ∙Ability to think creatively and solve problems. ∙Data presentation skills. Preferred: ∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities. ∙Or, Publications in highly accredited journals (If available, please share links to your published work.). ∙Or, history of scaling ML/Deep learning algorithm at massively large scale.

About the Opportunity We are looking for a trailblazer & practitioner Data Scientist to lead the initiatives we’re taking, to improve the product offerings of Blackhawk Network, from the perspective of risk modelling and business forecasting (prescriptive & predictive). As a Senior Data Scientist, you will own the research charter for Data & Decision Science, to enable the business stakeholders to be data-driven and deterministic, by providing insights into the decisions at-hand and also roadmap planning. You will be the Senior member in a team of Data Scientists to provide mentorship and enable a culture of 360-degree analysis of business, with ownership of the Modelling Environments and Risk Engines. You will get the support to evangelise sound practices for prototyping of concepts, to fail-fast and/or maintain continuum of persistent research. You will collaborate with multi-disciplinary teams of engineers, product owners & business stakeholders to solve complex & ambiguous problems, in the domains of: Gift Cards E-Commerce (B2B & B2C) Forecasting of Inventory, Traffic & Breakage Risk Modelling (Scorecards) Fraud Detection & Prevention Loyalty & Rewards Programs Modelling Requirements A strong background in advanced mathematics, in particular statistics & probability theory, data mining, and machine learning. 10+ years of overall professional experience, with 5+ years in data science, doing exploratory data analysis, testing hypotheses, and building prescriptive & predictive models. Masters (or equivalent) degree in a quantitative discipline (Statistics, Operations Research, Data Science, Mathematics, Physics, Engineering etc.). Proficiency in a programming language of your own choice (Python, R, Matlab, etc.), and previous experience efficiently conducting research and creating on-demand reports. Strong Communication: ability to articulate clearly, navigate & adapt across different seniority levels. Ability to use statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights. An excellent ability to learn new programming languages quickly and optimally. Be passionate about collaborating daily with your team and other groups while working via a distributed multi-geo global operating model. Be eager to help your teammates, share your knowledge with them, and learn from them. Ability to work with large, complex data sets to produce insights & results. Big pluses include significant experience managing or shipping out a product, leading a team, and working on open source projects.

Hi, looking for a Part-time trainer for Data Science,Hadoop etc at our New Marathahalli Brach, Bangalore. Experience: 1. Good domain knowledge on data science with min 3-4 yrs 2. Good knowledge on Hadoop, Statistics, R Programming,SQL,Python,Machine Learning,Deep Learning,NLP, Tensorflow etc 3. Able to take CLASSROOM or ONLINE Daily/weekend classes at Marathahalli Branch, Bangalore. 4. Need to handle 2-3 Batches per month (Incl Online & Classroom) A chance to earn around 50,000 to 2,00,000 permonth by working as a part-timer for us. Thanks

Must Haves: Machine Learning, NLP/ Speech, Speech Analytics, Voice Processing, Dialog ManagementYou’re Awesome At – Working on designing, developing and augmenting ML models and algorithms. Designing, evaluating and overseeing implementations of our Machine Learning systems. Performing experiments and statistical analysis to draw conclusions and take modeling decisions. Understanding the situatedness of tasks and adapting existing techniques for the problem.   You’ll Be Improving & Responsible For– Spoken Language Understanding and Dialog Management. Language semantics, parsing, and modeling across multiple languages. Speech Recognition, Speech Analytics and Voice Processing across multiple languages. Response Generation and Speech Synthesis. Active Learning, Monitoring and Observability mechanisms for deployments. Taking part in regular research reviews and discussions. Mentoring other team members. Creating and laying out internal roadmaps for the ML team. Architect and review programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems. Your Experience Across The Years in the Roles You’ve Played - 2+ years of industrial or academic experience. 2+ years of experience in Machine Learning, preferably in NLP/Speech. Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc. Ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point. Git portfolios and blogs are helpful as they let us better evaluate your work.

Your responsibilities: Build, improve and extend NLP capabilities Research and evaluate different approaches to NLP problems Must be able to write code that is well designed, produce deliverable results Write code that scales and can be deployed to production You must have: Fundamentals of statistical methods is a must Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM A solid foundation in Python, data structures, algorithms, and general software development skills. Ability to apply machine learning to problems that deal with language Engineering ability to build robustly scalable pipelines Ability to work in a multi-disciplinary team with a strong product focus

Junior Data Scientist- Happymonk is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brainpower. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. This meticulous process requires persistence and software engineering skills—expertise that’s integral to understanding data bias and to debug output from code. In simpler terms, data scientists find patterns and use the knowledge to build and improve. An artificial intelligence (AI) specialist applies their skills in engineering and computer science to create machines and software programs that can think for themselves. Most often, they use AI principles to address persistent business pain points, augment the capability of technical and human resources, and execute a change management/transformation process. The key contribution of an AI specialist is using emerging technologies, such as machine learning (ML) and neuro-linguistic programming (NLP), to solve business problems in new and creative ways that provide greater insight, accuracy, and consistency. This can be done in nearly any industry but is most often sought by the government, health care, and higher education institutions. The objective of this role Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy   Understand company and client challenges and how integrating AI capabilities can help create solutions   Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit   Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards   Collaborate with product design and engineering to develop an understanding of needs   Research and devise innovative statistical models for data analysis   Communicate findings to all stakeholders   Enable smarter business processes—and implement analytics for meaningful insights   Keep current with technology and industry developments Daily and Monthly Responsibilities Advise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI   Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership   Manage a team to conduct assessments of the AI and automation market and competitive landscape   Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products   Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries   Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables   Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy   Analyze data for trends and patterns, and Interpret data with a clear objective in mind   Implement analytical models into production by collaborating with software developers and machine learning engineers.   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems   Bachelor’s degree in computer science Special Skills Required 1+ years of experience in applying AI to practical and comprehensive technology solutions   2+ years of experience in data science   Proven experience with ML, deep learning, Python, NLP, Kafka, and Spark   Experience with program leadership, governance, and change enablement   Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns   Experience with REST API development, SQL design, RDBMS design and optimizations   Experience with innovation accelerators   Experience with Cloud environments   Bachelor’s degree in statistics, applied mathematics, or related discipline preferred   Proficiency in data mining, mathematics, and statistical analysis   Advanced pattern recognition and predictive modeling experience   Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)   Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects   Professional Certification     Location Bengaluru, Karnataka, India - 560072 Compensation       Key perks Working with the best in the industry   Family Insurance Program   Wellness Benefits   Work from home Industries Internet Technology, Research and development, AI/ML, Architecture, Security & Surveillance, Wellness, Construction & Allied Industries

Senior Data Scientist- Happymonk is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brainpower. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. This meticulous process requires persistence and software engineering skills—expertise that’s integral to understanding data bias and to debug output from code. In simpler terms, data scientists find patterns and use the knowledge to build and improve. An artificial intelligence (AI) specialist applies their skills in engineering and computer science to create machines and software programs that can think for themselves. Most often, they use AI principles to address persistent business pain points, augment the capability of technical and human resources, and execute a change management/transformation process. The key contribution of an AI specialist is using emerging technologies, such as machine learning (ML) and neuro-linguistic programming (NLP), to solve business problems in new and creative ways that provide greater insight, accuracy, and consistency. This can be done in nearly any industry but is most often sought by the government, health care, and higher education institutions. The objective of this role Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy   Understand company and client challenges and how integrating AI capabilities can help create solutions   Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit   Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards   Collaborate with product design and engineering to develop an understanding of needs   Research and devise innovative statistical models for data analysis   Communicate findings to all stakeholders   Enable smarter business processes—and implement analytics for meaningful insights   Keep current with technology and industry developments Daily and Monthly Responsibilities Advise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI   Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership   Manage a team to conduct assessments of the AI and automation market and competitive landscape   Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products   Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries   Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables   Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy   Analyze data for trends and patterns, and Interpret data with a clear objective in mind   Implement analytical models into production by collaborating with software developers and machine learning engineers.   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems   Bachelor’s degree in computer science Special Skills Required 5+ years of experience in applying AI to practical and comprehensive technology solutions   7+ years of experience in data science   Proven experience with ML, deep learning, Python, NLP, Kafka, and Spark   Experience with program leadership, governance, and change enablement   Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns   Experience with REST API development, SQL design, RDBMS design and optimizations   Experience with innovation accelerators   Experience with Cloud environments   Bachelor’s degree in statistics, applied mathematics, or related discipline preferred   Proficiency in data mining, mathematics, and statistical analysis   Advanced pattern recognition and predictive modeling experience   Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)   Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects   Professional Certification     Location Bengaluru, Karnataka, India - 560072 Compensation       Key perks Working with the best in the industry   Family Insurance Program   Wellness Benefits   Work from home Industries Internet Technology, Research and development, AI/ML, Architecture, Security & Surveillance, Wellness, Construction & Allied Industries