We're looking for an expert who are active in machine learning/deep learning areas and are passionate about developing next generation machine learning technologies. The candidate must be able to: Must be “Hands On”. Design and develope machine learning algorithms Knowledge of 3D shape detection both in solid and point cloud models. Discover, design, and develop analytical methods to support novel approaches of data and information processing Generate and test working hypotheses Prepare and analyze historical data and identify patterns Provide technical support for program management and business development activities including proposal writing and customer development You must have at least 5 years demonstrated experience in the field. Master or higher Degree Key Skills: You should be an expert in remote sensing with proved experience in convolutional neural networks. Experience with Oriented object detection highly appreciated. Geospatial and 3D deep knowledge Deep mathematical skills mostly on logics and geometry. You are an expert in Python, OpenCV, Tensorflow You have worked with Numpy, Pandas, etc
Experience in AI/ Machine Learning/ Data science and have a technical bend of mind.Writing user stories and grooming those with design and engineering teams.Familiarity with Agile and Rapid Application Development.Interaction with users, perform market research and develop the productsMonitoring the development & QA teamsHigh-level oversight of customer implementations and ensuring adoption.Ensuring all deliverables are met on time and with expected quality.The ability to learn new technical concepts quickly.
Job Id: BSL-2021-016Role: Data ScientistResponsibilities• Analysing raw data: assessing quality, cleansing, structuring for downstream processing• Designing accurate and scalable prediction algorithms for different Analytical models including Customer Happiness Index, Competitor Alerts, Customer Segmentation, Footfall Tracking and Social Media Monitoring• Designing AI-driven e-Commerce, Campaign Management and Loyalty Solutions• Generating actionable insights for business improvements and feeding the data to reporting tools• Maintaining up-to-date knowledge of research activities in the general fields of machine learning and specifically for map feature inference• Utilising computer vision and stochastic algorithms to solve and implement complex attribute engineering problems for machine learning and deep learning based mobile frameworks and products.• Participating in both algorithm and software developments as a part of a scrum team, and contribute artifacts (software, whitepaper, datasets) for internal and external project reviews and demos.• Collaborating with internal and external team members (researchers and engineers) on efficiently implementing the new features to the products or enhancing the existing features. With end-to-tend aspects like developing, testing, and deploying.Experience Required• Development experience with Scala• Development experience with Docker• Development experience with GIS data• Development experience with NoSQL (i.e. MongoDB)• Cognitive Networks (Markovian & Bayesian Networks, Deep neural networks, K-mean Clustering, Graph analysis)• Cognitive Analytics (Visual Sentiment Analysis, Emotion Analysis)• Behavioural Analytics (Anomaly Detection Tools, Recommender Tools)• Spatiotemporal Analytics (Spatiotemporal Data Mining, Spatiotemporal Indexing)• Proficiency with at-least one of the deep learning frameworks like Tensorflow, Keras and Pytorch• Proficiency with at-least one of the mobile deep learning inference engines like TFLite, CoreML• Programming experience with SQL, shell script, Python, etc.• Familiarity with Big Data frameworks and visualisation tools (Kibana, Scala, Cloud Dataproc Cassandra, Hadoop, Spark, Tableau)
Evaluate and identify appropriate technology platforms (including web application frameworks and the deployment stack) for delivering the company’s Services. (MERN Stack) Communicate the company’s technology strategy to investors, management, staff, partners, customers, and stakeholders. Be the leader in technology trends and evolving social behavior that may support or impede the success of the business. Contribute to Open Source software development, standardization of technologies, and evolution of best practices by collaborating with peers outside the company, presenting at conferences, and writing for publication (online or offline).Minimum 5 Years Experience in an executive leadership role in a SaaSorganization. Experience leading teams in a variety of structures and environments ranging from start- up to large-scale enterprise corporations. Ability to articulate ideas to both technical and non-technical audiences. Ability to activelycommunicate, inspire and motivate all levels ofstaff. Leader – strong track record for building a strong engineering culture and world-classdevelopment teams.
Data science Freshers with a Product & IT service based company QualificationsB.Tech/M.Tech Percentage 70% and above2018 & 2019 passoutsAt least 3 POC Implementations should have donePremium Institutes passouts are more preferrable
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 & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. What do we believe? Best practices are overrated Implementing best practices can only make one n ‘average’. Honesty and Transparency We believe in the naked truth. We do what we tell and tell what we do. Client Partnership Client - Vendor relationship: No. We partner with clients instead. And our sales team comprises 100% of our clients. How we work? It’s all about being Happier first. And 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 Senior 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 Fit Assessment : A Searce team member is a highly motivated individual with a phenomenal amount of passion and energy for whatever he/she engages in; Who respects honesty, integrity, initiative, and creative approach to problem-solving; An inspiration to colleagues, he/she is a tenacious, and highly driven professional with a proven record of success and with a strong empathy for people - clients, partners, colleagues or vendors. 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
Masters/Ph.D. in Statistics, Applied Mathematics, Computer Science or a related field with publications in refereed academic journals. At least 1 to 2 years of experience in solving complicated optimization and machine learning problems for transportation networks or analogous disciplines developing a strategy for large-scale networks. Proven experience of working on unstructured and textual data with a deep understanding and expertise of NLP techniques for text representation, semantic extraction, dimensionality reduction, POS tagging, NER, semantic role labeling, sentiment analysis, etc. Excellent writing skills for presenting business cases and to document the models and analysis and present the results conclusions to influence important decisions. Working knowledge of smooth and non-smooth optimization methods accompanied by associated expertise in the use of tools and the latest technology Working knowledge of exact, approximation algorithms, and heuristic methods for solving difficult optimization problems. The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, MATLAB). Experience prototyping and developing software in traditional programming languages (C++, Java, Clojure, Python). Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby, Groovy) a plus. Statistical analysis, machine learning, and data-modeling in a database environment
Experience in Python or R Proven experience of working on unstructured and textual data with a deep understanding and expertise of NLP techniques for text representation, semantic extraction, dimensionality reduction, POS tagging, NER, semantic role labeling, sentiment analysis, etc. Work with Business, product, and client teams to understand data requirements Ability to handle structured and semi-structured data Must be strong in Mathematics and Statistics Must have experience in Data mining, development of Data science algorithms Supervised and Unsupervised Must have a problem-solving attitude Excellent presentation and communication skills Must hold B.E, B.Tech, or MCA degre
Job Description for Data Scientist/ NLP EngineerResponsibilities for Data Scientist/ NLP EngineerWork with customers to identify opportunities for leveraging their data to drive businesssolutions.• Develop custom data models and algorithms to apply to data sets.• Basic data cleaning and annotation for any incoming raw data.• Use predictive modeling to increase and optimize customer experiences, revenuegeneration, ad targeting and other business outcomes.• Develop company A/B testing framework and test model quality.• Deployment of ML model in production.Qualifications for Junior Data Scientist/ NLP Engineer• BS, MS in Computer Science, Engineering, or related discipline.• 3+ Years of experience in Data Science/Machine Learning.• Experience with programming language Python.• Familiar with at least one database query language, such as SQL• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,Search Indexing & Fuzzy Matching.• Excellent written and verbal communication skills for coordinating acrossteams.• Willing to learn and master new technologies and techniques.• Knowledge and experience in statistical and data mining techniques:GLM/Regression, Random Forest, Boosting, Trees, text mining, NLP, etc.• Experience with chatbots would be bonus but not required
Job Description We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Building recommendation engine, personalised product & content feeds based on user behaviour Come up various methods to improve eCommerce conversion rate Skills and Qualifications Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc (depending on specific project requirements). Excellence in at least one of these is highly desirable Great communication skills Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig (actual list depends on what you are currently using in your company) Experience with NoSQL databases, such as MongoDB, Cassandra, HBase (depending on project needs) Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills (if you expect that the person in this role will integrate the solution within the base application, list any programming languages and core frameworks currently being used) Data-oriented personality
Strong in problem solving, algorithms and data structures Proficient in Python Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI Experience with knowledge Graph or any graph based system is plus Able to train and deploy models Broad knowledge of machine learning algorithms and principles Performance profiling and Tuning Communicate and propose solutions to business challenges Familiarity with at least one of the cloud computing infrastructure - GCP/AWS Keep abreast with the latest technological advances Team mentoring and leadership skills.
Must-Have : 6+ years of experience in solving data science problems using machine learning, data mining algorithms, and big data tools. Strong experience with advanced SQL and good experience in big data ecosystem - Hive/Pig/MapReduce, Spark Experience in delivering at least one product with involvement in business problem identification, proposing solutions and evaluating them, identifying required data sources, building a data pipeline, visualizing the outputs, and taking actions based on the data outputs. Strong Experience with at least one programming language - e.g. Java, Python, R ( Exposure to multiple is a plus) Storing Experience in delivering data science projects leveraging cloud infrastructure. Experience with Agile framework. Experience in leading a data science team is a plus. Highly passionate about making an impact on business using data science. Believes in continuous learning and sharing knowledge with peers.
About the role :We are looking for a highly-skilled, experienced, and passionate Data Science leader 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, have built platforms from scratch and have a track record of developing and deploying data-science models into live applications.What you will do :- Leading the data science function, building the roadmap and setting up the best practices- Collaborate with and influence leadership to ensure Data Science directly impacts strategy- Drive an organizational effort toward a better understanding of user needs and pain points, and propose solutions that data science can provide to further this goal- Build and deploy Machine Learning models in production systems- Building platforms from scratch to solve image recognition and context understanding problems, and also improving search- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. - Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations- Develop comprehensive knowledge of data structures and metrics, advocating for changes, where needed for product development.- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information- Research and develop analysis, forecasting, and optimization methods to improve the product quality- Build and prototype analysis pipelines iteratively to provide insights at scale.- Building/maintaining of reports, dashboards, and metrics to monitor the performance of our products- Develop deep partnerships with engineering and product teams to deliver on major cross-functional measurements, testing, and modellingWhat you need :- 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 machine learning.- 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 deploying data science models (Regression, Decision Trees, K-Means, etc.) in production systems- Experience doing quantitative analysis including experience with SQL or other programming languages (Python, R). Experience with large data sets and analytical tools, e.g. Hive, Spark - Experience communicating the results of the analysis 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
Skills Python coding skills Scikit-learn, pandas, tensorflow/keras experience Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc Implementing Machine learning models and pushing it to production Creating docker images for ML models, REST API creation in Python 1) Data scientist with NLP experience Additional Skills Compulsory: Knowledge and professional experience of text and NLP related projects such as - text classification, text summarization, topic modeling etc 2) Data scientist with Computer vision for documents experience Additional Skills Compulsory: Knowledge and professional experience of vision and deep learning for documents - CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc