Machine Learning (ML) Jobs in Bangalore (Bengaluru)

Job Brief and Requirements • We are looking for a Machine Learning/Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications. • Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques • NLP Skills/Tools: NLP, HMM, CRF, LDA, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, CoreNLP, NLU, NLG etc., • Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. • Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc. • Understanding of data creation. Develop highly scalable classifiers and tools leveraging machine learning and rules based models. • Work closely with product teams to implement algorithms that power user and developer-facing products. • Perform user research and evaluate user feedback.

The Person:-• Articulate • High Energy • Passion to learn • High sense of ownership • Ability to work in a fast-paced and deadline driven environment • Loves technology • Highly skilled at Data Interpretation • Problem solver • Ability to narrate story to the business stakeholders • Generate insights and the ability to turn them into actions and decisions Skills to work in a challenging, complex project environment:-• Need you to be naturally curious and have a passion for understanding consumer behavior • A high level of motivation, passion and high sense of ownership • Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities • Flexibility to work on multiple projects and deadline-driven fast-paced environment • Ability to work in ambiguity and manage chaos Algorithm & Solution Development skills:-• Solid understanding and experience in statistical methods and programming • Experience in both supervised (classification models, regression) and unsupervised learning (clustering, PCA, LDA), Time series forecasting (Arima, Sarimax, FBProphet) • High level of proficiency in any two of the following Work experience in Digital Analytics/Web Analytics is highly preferred Hypothesis testing, insights generation, root cause analysis, drivers analysis  Marketing effectiveness, performance marketing, attribution modeling, MMM  Personalization, campaign management, design of experiments Data visualization using D3.JS, 3JS, RShiny, Tableau, Qlik and PowerBI or any other leading data visualization • Knowledge and Hand-on experience in these: Machine Learning (ML) models development in Python, R and SAS Develop algorithms using NLP and Text Analytics based solutions for clients, deep learning models, use of Word2Vec Data Engineering and development of Big Data solutions (Should have gained experience in Apache Spark/Spark Streaming, Cassandra, Apache Apex)  Project Delivery skills:-• Gather, process, analyse and extract conclusions out of complex, high-volume, highdimensional data coming from varying sources • Design, framework development and implementation of analytics solutions • Generating insights and recommendations for clients Qualifications:- • BE/BTech from in Computer Science/Statistics • Should have a minimum 3 years’ experience in Data Analytics/Digital Analytics/Web AnalyticsPreference will be given to Immediate to 15-day joiners

The Product Strategist , will work with our customers to help identify challenges, focus business objectives and translates them into executable plans for our teams. This requires a broad understanding of business strategy, customer and user challenges, and technology. The Product Strategist defines what we are building and why we are building it. They will support the design and development teams in defining how we are executing the product developments, but not necessarily get into product development. Scoping and strategy experience are a must for this role. Role and Responsibilities: Develop and facilitate a strong relationship with our existing or prospective clients/industry Expert in visualizing the end to end solution, and build scalable and flexible products Own the discovery and ideation phase of product development Product roadmap and backlog management Product and feature definition and scoping Designing business models and GTM Designing long-term goals for producing products that sell Information architecture, content modelling, and taxonomy definition User Profile Development & User Flow Documentation Review and sign off on features & outcomes Customer relationship leadership, management, customer advocate, upselling

One of our clients is looking to hire a ELK Stack DeveloperRequired Skills:  ELK Stack  Python Machine Learning

Experience in OCR, Elastic Search, NLP and Python libraries - Pandas, NumPy,SciPy, TensorFlow, Scikit-learn● BS/BE/MS/PhD in a quantitative field such as Computer Science, Engineering,Math, Statistics or equivalent years of experience● 10+ years of experience in data science, algorithmic engineering, and machinelearning. Preferably solved problems from scratch to scale● Experience in hiring, managing and mentoring data science, data engineering,and analytics teams● Experience designing a data science roadmap and executing the vision behind it● Experience in handling data (structured+unstructured), building and deployingdata science models (Regression, Decision Trees, K-Means, etc.) in productionsystems● Experience doing quantitative analysis including experience with SQL or otherprogramming languages (Python, R). Experience with large data sets andanalytical tools, e.g. Hive, Spark - Experience communicating the results of theanalysis to an executive audience● Experience instilling a culture of ownership, collaboration, and results● Track record of recruiting talent in analytics and data science● Track record of delivering data-driven products and insights

About antuit.ai   Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.   Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.   The Role:   Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.   In this role, you will design the approach, develop and test machine learning algorithms, implement the solution.  The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving.  Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.   Responsibilities:   Responsibilities includes, but are not limited to the following:   Design, build, test, and implement predictive Machine Learning models. Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met. Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers. Collaborate cross-functionally with domain experts to identify gaps and structural problems. Contribute to standard business processes and practices as part of a community of practise. Be the subject matter expert across multiple work streams and clients. Mentor and coach team members. Set a clear vision for the team members and working cohesively to attain it.   Qualifications and Skills:   Requirements Experience / Education: Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related  5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates. Highly technical: Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python. Understanding of data structures and data modeling. Effective communication and presentation skills Able to collaborate closely and effectively with teams. Experience in time series forecasting is preferred. Experience working in start-up type environment preferred. Experience in CPG and/or Retail preferred. Effective communication and presentation skills. Strong management track record. Strong inter-personal skills and leadership qualities.   Information Security Responsibilities Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in Information Security training and act accordingly while handling information. Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).   EEOC   Antuit.ai is an at-will, equal opportunity employer.  We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.

About antuit.ai   Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.   Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.   The Role:   Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.   Responsibilities:   Responsibilities includes, but are not limited to the following:   Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations. Design, build reliable and scalable automated processes for large scale machine learning. Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.  Collaborate with Business, Technology and Product teams to stand-up MLOps process. Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools. Deep dive into complex algorithmic and product issues in production Own metrics and reporting for delivery team.  Set a clear vision for the team members and working cohesively to attain it. Mentor and coach team members Qualifications and Skills:   Requirements Engineering degree in any stream Has at least 7 years of prior experience in building ML driven products/solutions Excellent programming skills in any one of the language C++ or Python or Java. Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc. Developed and productized large-scale models/algorithms in prior experience Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks. Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools). Good verbal, written and presentation skills. Ability to learn new skills and technologies. 3+ years working with retail or CPG preferred. Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.   Information Security Responsibilities   Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in Information Security training and act accordingly while handling information. Report all suspected security and policy breach to Infosec team or appropriate authority (CISO). EEOC   Antuit.ai is an at-will, equal opportunity employer.  We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.

About us:  We are an emerging Artificial Intelligence-based startup trying to cater to the need of industries that employ cutting-edge technologies for their operations. Currently, we are into and provide services to disruptive sectors such as drone tech, video surveillance, human-computer interaction, etc. In general, we believe that AI has the ability to shape the future of humanity and we aim to work towards spearheading this transition. About the role: We are looking for a highly motivated data scientist with a strong algorithmic mindset and problem-solving propensity. Since we are operating in a highly competitive market, every opportunity to increase efficiency and cut costs is critical and the candidate should have an eye for such opportunities. We are constantly innovating – working on novel hardware and software – so a high level of flexibility and celerity in learning is expected. Experience: 2 - 4 years Responsibilities: Design machine learning / deep learning models for products and client projects. Creating and managing data pipeline. Exploring new SOTA models and data handling techniques. Coordinate with software development teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Explore new promising technology and implement it to create awesome stuff. Technology stack: Must have: Python Pandas, Numpy Tensorflow, Pytorch Sklearn Good to have: Scipy Opencv Space, NLTK What’s in it for you: Opportunity to work on a lot of new cutting-edge technologies: We promise you rapid growth on your skillset by providing you with a steep learning curve. Opportunity to work closely with our experienced founding members who are experts in developing scalable practical AI products and software architecture development.

**12+ years of industry experience and minimum 5-6 years of relevant experience. Responsibility: Development of ASR engine using frameworks like DeepSpeech, Kaldi, wav2letter, Pytorch-Kaldi, CMU Sphinx Assist to define technology required for Speech to Text services besides core engine and to design integration of these technologies. Work on improvement of model's accuracy and guide the team with best practices. Lead a team of 3-5 members Desired experience: Good understanding of machine learning(ML) tools. Should be well versed in classical speech processing methodologies like hidden Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural networks (ANNs), Language modeling, etc. Hands-on experience of current deep learning (DL) techniques like convolutional neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term memory (LSTM), connectionist temporal classification (CTC), etc used for speech processing is essential. The candidate should have hands-on experience with open source tools such as Kaldi, Pytorch-Kaldi. Familiarity with any of the end-to-end ASR tools such as ESPNET or EESEN or Deep Speech Pytorch is desirable. The candidate should have a good understanding of WFSTs as implemented in OpenFST and Kaldi and should be able to modify the WFST decoder as per the application requirements. Experience in techniques used for resolving issues related to accuracy,  noise, confidence scoring etc.  Ability to implement recipes using scripting languages like bash and perl Ability to develop applications using python, c++, Java

Implementation and testing of advanced computer vision algorithms.Dataset search, preparation, annotation, training, testing, fine tuning of vision CNN models.Detailed analysis of results.

Lead Data Scientist Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & fastest-growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. How we work? It’s all about being Happier first. And the rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Lead Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : Collaborate with team members to develop new models to be used for            classification problems Responsible for software profiling, performance tuning and analysis, and other            general software engineering tasks Use independent judgment to take existing data and build new models from it Collaborate and provide technical guidance Coming up with new ideas, rapid prototyping, and converting prototypes into            scalable products Conducting experiments to assess the accuracy and recall of language            processing modules and to study the effect of such experiences Improving existing models and creating self-learning systems. Stakeholder management and leadership Decision making and problem-solving Accomplishment Set : Extensive experience with Hadoop and Machine learning algorithms Exposure to Deep Learning, Neural Networks, or related fields and a strong            interest and desire to pursue them Experience in Natural Language Processing, Computer Vision, Machine Learning            or Machine Intelligence (Artificial Intelligence) Passion for solving NLP problems Experience with specialized tools and project for working with natural language            processing Programming experience in Python Knowledge of machine learning frameworks like Tensorflow, Pytorch Experience with software version control systems like Github Fast learner and be able to work independently as well as in a team environment            with good written and verbal communication skills Education and Experience : B. E. / B. Tech / Masters in Computer Science Strong in academics and good aptitude Excellent communication skills with a flair to learn quickly 4-8 years of relevant experience Research and implement novel machine learning and statistical approaches Prior exposure to product development would be an added advantage

The Product Strategist, will work with our customers to help identify challenges, focus business objectives and translates them into executable plans for our teams. This requires a broad understanding of business strategy, customer and user challenges, and technology. The Product Strategist defines what we are building and why we are building it. They will support the design and development teams in defining how we are executing the product developments, but not necessarily get into product development. Scoping and strategy experience are a must for this role.   Role and Responsibilities: Develop and facilitate a strong relationship with our existing or prospective clients/industry Expert in visualizing the end to end solution, and build scalable and flexible products Own the discovery and ideation phase of product development Product roadmap and backlog management Product and feature definition and scoping Designing business models and GTM Designing long-term goals for producing products that sell Information architecture, content modelling, and taxonomy definition User Profile Development & User Flow Documentation Review and sign off on features & outcomes Customer relationship leadership, management, customer advocate, upselling   Skills Required:   Understanding the lifecycle of digital projects Good understanding of BFSI, Citizen services, eCommerce, Healthcare industry Strong business acumen and conversant with product business models Experience in launching new products Experience in product discovery Experience in leading cross functional teams Working understanding of NLP and AI/ML technologies Hands-on experience in design and product management tools Experience working with a development team using both Agile and waterfall methodologies Comfort

The role involves computer vision tasks including development, customisation and training of Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.RequirementsIdeal candidates must have a working knowledge of:1) Python, Tensorflow/PyTorch (or similar Deep Learning frameworks), CNNs (for image classification, object detection etc)2) Image Processing techniques using OpenCV or other white-box image feature extraction algos

About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought- after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning   Role Summary Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Roles & Responsibilities 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline  Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders  Comfortable dealing with ambiguity and competing objectives   Skills Required Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science technique