Professor: To drive the campus academic operations in close coordination with, a) Head of Departments. b) Faculty members c) Students To create an 'IT centre of excellence' at the campus. Should have driven the academic function of IT dept. Should have experience of handling the academic operations Associate / Assistant Professor: Adhering to university time line (other the new courses) To ensure coverage of Syllabus as per university standards Learning Outcome Examination Result ( Includes both Internal & Main Exams) Knowledge Improvement Program Innovation & Development Technical Skills: General: C++, Java, OS, RDBMS, Software Engg, Data Structure etc Niche technologies like Cloud, Mobility, Information security, Data Science, IoT and Artificial Intelligence to name a few Behavioural Competencies: Strong Leadership Qualities Excellent Communication skills Strong interpersonal skills to work with diverse teams Strong Presentation Skills Qualification: B.Tech, M.Tech & Ph.D - Completed / Pursuing Year of Exp: Professor: Min 12+ years of exp post PG and 5 years post Ph.D Associate Professor: Min 10+ years of exp post PG and 3 years post Ph.D Assistant Professor: 2+ years exp How you match Criteria provided by job poster Skills Match Teaching No match Data Privacy No match Internet of Things (IoT) No match Artificial Intelligence (AI) No match Curriculum No match Network Security No match Presentation Skills No match Information Security No match RDBMS No match Interpersonal Skills.
Understanding business objectives and developing models that help to achieve them,along with metrics to track their progressManaging available resources such as hardware, data, and personnel so that deadlinesare metAnalysing the ML algorithms that could be used to solve a given problem and rankingthem by their success probabilityExploring and visualizing data to gain an understanding of it, then identifyingdifferences in data distribution that could affect performance when deploying the modelin the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededDefining validation strategiesDefining the pre-processing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyper parametersAnalysing the errors of the model and designing strategies to overcome themDeploying models to production
JD To build deep learning models in Tensorflow and Keras To build Machine learning and Text Analysis projects Extensive knowledge of python, data structures, and algorithms Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc Data Analysis analysis and presenting results in a clear manner Building Deep learning models over unstructured sources such as images, speech and text data. Skills and Qualifications B.E/B.TECH/MCA in COMPUTER SCIENCE ENGINEERING ONLY or Any Degree specializing in Computer Science or Information Technology or Information Science. Excellent Knowledge of computer science engineering basics. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc Understanding of Natural Language processing techniques and algorithms such as dimensionality reduction, NLTK, CoreNLP, Spacy Understanding of Deep learning concepts and techniques such as YoLo, Object Detection, Image Classification. Experience with common data science toolkits, such as scikit-learn, spacy, Keras. Excellence in at least one of these is highly desirable Great communication skills in English both written and verbal. Proficiency in using query languages such as SQL. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good programming skills in Python or Java. Well versed with data structures and algorithms.
Key Result Areas · Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. · Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. · Assess the effectiveness and accuracy of new data sources and data gathering techniques. · Develop custom data models and algorithms to apply to data sets. · Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. · Develop company A/B testing framework and test model quality. · Coordinate with different functional teams to implement models and monitor outcomes. · Develop processes and tools to monitor and analyze model performance and data accuracy. Knowledge, Skills and Experience Core Skills: · We’re looking for someone with 7+ years of experience manipulating data sets and building statistical models, has a Bachelor’s/Master’s in Statistics, Mathematics, Computer Science or another quantitative field. · Experience querying databases and using statistical computer languages: Python, R etc. · Proficient in using SQL for data analysis and data manipulation. · Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. · Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc. · Excellent written and verbal communication skills for coordinating across teams.
About UpGrad : 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 Analytics, Product Management, Digital Marketing, and Entrepreneurship, and was rated as one of the top 10 most innovative companies in India for 2017 - https://www.fastcompany.com/most-innovative-companies/2017/sectors/india . We plan to launch 6 more programs in technology and management education. UpGrad is co-founded by 3 IITD alumni, and the 4th co-founder is serial entrepreneur Ronnie Screwvala. UpGrad has a committed capital of 100Cr and in the first year of operations, has built the largest revenue generating online program in India (PG Diploma in Data Analytics) and the largest enrolment online program in India (Startup India learning program). 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. Position : Senior Data Scientist Position Type : Full Time Location : Mumbai Job Description: 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 our marketing 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 career outcomes. 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. Basic Qualifications: 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 Preferred Qualifications: 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 techniques
Description About Zycus : Headquartered in Princeton, U.S. in 1998, Zycus has grown every day to be established as an organization which now is a leading global provider of complete Source-to-Pay suite of procurement performance solutions. We develop cloud-based (SaaS) Source-to-Pay solutions for large global enterprises, and have successfully deployed about 200 solutions to over 1000 Global clients. We are proud to have as our clients, some of the best-of- breed companies across verticals like Manufacturing, Automotives, Banking and Finance, Oil and Gas, Food Processing, Electronics, Telecommunications, Chemicals, Health and Pharma, Education and more. With a team of 1000+employees, we are present in India with 3 development centers at Bengaluru, Mumbai & Pune and offices in the U.S., U.K., Australia, Dubai, Netherlands and Singapore. Know more about the LEADER of: Gartner’s 2013, 2015 & 2017 Magic Quadrant for Strategic Sourcing Application Suites and The Forrester Wave™: eProcurement, Q2 2017 We are in process of launching Merlin A.I. Studio™. The artificial intelligence (AI)-based platform will allow procurement teams to to build and deploy bots across the source-to-pay process. The bots will be used by firms leveraging more than 1,100 APIs from Zycus’ solution suite. “By deploying the intelligent bots from Merlin A.I. Studio™, procurement can put themselves in cruise control mode as the bots work towards accomplishing tasks with zero human intervention,” The Fortune 500-serving firm explained in its press release “Be it running an RFI event, discovering contract risks, negotiating with suppliers or transnational procurement; all one needs to do is launch the bot and see the magic unfold.” “It will empower procurement to transform their routine, repetitive & mundane procurement tasks, so that time, effort & resources can be optimized towards more strategic initiatives.”Exp : 1 to 10 Years Role : Data Scientist Location : Bangalore Education : Any Engineering From IIT ,NIT , IIIT ,VIT , BITS Pilani Please carry your original ID proof along with Hard Copy of Resume Requirements We are especially looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. If you are passionate about research and developing innovative technologies of interest to Zycus and the research community at large, the BigData Experience Lab may be the right place for you. All successful candidates are expected to dive deep into problem areas of Zycus’s interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage Zycus Skills Master’s or Ph.D. in statistics, mathematics, or computer science Only from Tier 1 Colleges Experience using statistical computer languages such as R, Python, SQL, etc. Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis Experience working with and creating data architectures Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests 2-10 years of experience manipulating data sets and building statistical models Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data. Data Scientist will report in to Director Engineering - Data Scentist & the roles & responsibilities are as below: Work as the 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 Benefits : Along with a competitive compensation structure, Zycus believes in an open culture learning environment, where everyone gets a chance to share their ideas and deliver par excellence. Here's a sneak peek to our life at Zycus.
Navia Life Care is looking for a young, energetic, and passionate data scientist for a full-time role, and available to join immediately. They will be expected to fulfill the following responsibilities :Backend developer responsibilities :- Design and build data analytics platform using Python and/or R- Experience with healthcare data will be a Plus.- Experience with Machine Learning, Data Analytics also recommended- Collaborate with cross-functional teams to define, design, and ship new features.- Participate in brainstorming sessions and have the chance to contribute innovative and original ideas to our technology, algorithms and productRequirements :- 2-4 years of experience in programming, data science and analysis- Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies- Excellent ability to develop and understand algorithms.- Opportunity to join a fast-growing and funded healthcare startup, and direct reporting to the Chief Data Officer- We provide a flexible and innovation-driven work environment, with a 5-day working week, and competitive compensation packages.
• Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.• Experience in selecting features, building and optimizing classifiers using machine learning techniques.• Prior experience with data visualization tools, such as D3.js, GGplot, etc..• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.• Basic understanding of the banking industry is value addDevelop, process, cleanse and enhance data collection procedures from multiple data sources.• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.• Work closely with product teams to implement algorithms with Python and/or R.• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.• Facilitate integration with enterprise applications using APIs to enrich implementations
Want to shape the future of Energy through Data Science? We have the data and if you have got the skills to unlock the patterns behind how a little change in one input parameter can have so much impact on the optimized Energy output parameters, like energy price. The Energy Exemplar (EE) data team is looking for an experienced Applied ML Data Scientist to join our Pune office. The data team is committed to helping EE customers keep a check on how heat rate, capacity expansion and daily unit commitment are subject to variations in demand, renewables, gas price, etc. There are lots of such use cases. By continuously gathering and analysing data, and by working with organizations inside and outside EE, the data team stays agile to combat evolving challenges. Our mission is to help advice customers and systems with industry-leading proactive optimal predictions, and engage in valuable partnerships.As a dedicated Data Scientist on our Research team, you will apply data science and your machine learning expertise to enhance our intelligent systems to predict and provide proactive advice. You’ll work with the team to identify and build features, create experiments, vet ML models, and ship successful models that provide value additions for hundreds of EE customers.At EE, you’ll have access to vast amounts of energy-related data from our sources. Our data pipelines are curated and supported by engineering teams (so you won't have to do much data engineering - you get to do the fun stuff.) We also offer many company-sponsored classes and conferences that focus on data science and ML. There’s great growth opportunity for data science at EE.Responsibilities Monitor and analyse data to uncover optimization gaps Develop high-performance algorithms, machine learning models, or other methodologies to close optimization gaps. Identify performant features and models and make them universally accessible to our teams across EE. Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models. Act as a resident expert for machine learning, statistics, and experiment design. Qualifications 5+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets. Proficiency in Python, Azure ML, or other statistics/ML tools. Proficiency in Deep Neural Network, python based frameworks. Proficiency in Azure DataBricks, Hive, Spark. Moderate coding skills. SQL or similar required. C# or other languages strongly preferred. Outstanding communication and collaboration skills. You can learn from and teach others. Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services. Experience with prediction in adversarial (energy) environments highly desirable. Understanding of the model development ecosystem across platforms, including development, distribution, and best practices, highly desirable. A Masters or Ph.D degree with coursework in Statistics, Data Science, Experimentation Design, and Machine Learning highly desirable Visit https://energyexemplar.com/ for more information.
We are changing the way enterprises manage and consume data and insights by making data and insights platform smarter and better. As part of Cynepia Technologies, Customer Facing Data Scientists are critical to making our customers successful.- An ideal candidate should have strong fundamentals of applied data science in a business setting and should enjoy communicating and evangelizing data science solutions to business stakeholders. He must possess an understanding of the following :A) Product/Customer/People Skills :1. Someone who has been working for a fast-paced started environment in the capacity as an individual contributor and is focused on understanding customer problems/requirements and solving the same using Cynepia Products/Solutions that address the same.2. Executing data engineering/science workflows for customers3. Conducting and managing data science projects with customer's vision of success in mind.4. Engaging and collaborating with various customer teams and managing experience.5. Great oral and written communication and hunger to create and build is not negotiable.6. Strong customer interaction, management and organizational skills.B) Technical Skills :1. Experience with dataset preparation using python/R.2. Experience building and optimizing data pipelines, architectures and data sets.3. Hands-on experience building predictive models and preparing data for the same.4. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Understand and write code that adheres to and ensures serviceability, performance, reliability, availability and scalability of the architecture in a large enterprise5. Prior Experience working with the adoption of enterprise data products/usecases in a fast-paced startup environment desired.6. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
JOB DESCRIPTION – Senior Data ScientistJob Brief:We are looking for a Data Scientist to join Surveysensum team and completely take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. Surveysensum is an AI-Enabled Customer Experience brands to decode customers feedback into actionable insightsResponsibilities: Build cutting edge models using NLP, ML and AI Techniques for a variety of problems in a variety of domains. Work with engineering team to deploy models in production & validate the models.Skills: Expert level knowledge in Natural Language Processing, Information Extraction, Scrapping and Text Mining Algorithms, Tech Stacks. Strong familiarity with deep learning methods for text analytics. Expert level knowledge in Machine Learning algorithms (XGBoost, Linear and Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, Reinforcement Learning) is a must. Familiarity and experience of working on time series analysis on real world datasets. Familiarity with flask, fastapi, hug. Must be an expert python programmer. Demonstrated expertise via high quality publications and/or competitions/challenges. Ability to easily work with domain experts and passion to make a difference. Minimum B.E/B.Tech in computer science/ Electrical Engineering/ EXTC with a strong base in mathematics and statistics. Strong communication skills and team player. Ability to thrive in a startup environment. Problem solving attitude is a must.Experience Minimum 3-7 Years experience in NLP. Experience in working on language models, other than English Minimum 1-year experience in Text & Sentiment Analysis Experience in making a product using NLP, not just project based executionsAbout the company:We are Neurosensum - A Neuroscience and AI company based in Jakarta (Indonesia), Singapore and London (England). Neurosensum is a technology driven company where we like to disrupt the market with our technological innovations. We are in touch with tomorrow’s technology to help you shape the vision of your company’s future. We bring insights based on our Neuroscience technology to the market. We are a team of experienced market researchers, data scientists and AI experts. Currently we are in pursuit to bring our first product called SurveySensum in the market, which is an end to end solution to all the market research needs which includes survey creation, distribution, collection, analysis and dashboards. Our team has experience working across 250+ clients and we possess a deep understanding of Asian consumers and clients. In addition to this we are constantly improving our product with the recent advancement of Artificial Intelligence specially with text analytics.
Role Summary As an Architect, you will be responsible for all products shipped out by the engineering team including selection of technologies, architecture, development, QA, dev-ops and their performance. Innovation and challenging the status quo are two of our core values.You will work closely with our US team and customers to develop features that help shape the logistics and supply chain industry. Must Have : 8+ years work experience as a Sr.Data Engineer, Data Architect, ETL Developer or similar role. You should be passionate about technology and well versed with new technologies and the global best practices. Data Modeling concepts 3NF and Dimensional Worked on cloud integration/ cloud DWH implementation. (AWS/GCP/Azure RedShift, Snowflake etc. ) Worked on Big Data related projects Experience in implementing groups and security around data Expertise in designing data ingestion platforms and data curation Experience of any industry standard ETL Tools such as Mulesoft/Streamsets/Airflow and BI visualisation tools (Tableau, Looker others) Microservices / API based, loosely coupled architecture Containerization - Docker Orchestration - Kubernetes Good understanding of DevOps tool stack and processes Agile Software Development Soft Skills : Good communication skills, with a confident personality. Ability to communicate well to both technical and non-technical staff Excellent problem solving and analytical skills; Able to handle challenging situations and act appropriately. Excellent learning skills; must learn and also guide other members of the team on their knowledge. Should be a self-starter; Takes responsibility and ownership, and is self-driven. Ability to work independently with little supervision as well as ability to work within a team Good Team player; Commitment to high-quality output and service. Responsibilities Responsible for helping with building data pipelines using mulesoft, java/scala and SQL. Responsible for data management across multiple data systems: data governance, data mastering, meta-data management, data definitions, symantec-layer design, data taxonomies and ontologies Help evaluate existing data models across products and find out outliers and recommend Responsible for data security and compliance Leading proof-of-concept projects Cross-training peers and mentoring teammates
Skill Set SQL, Python, Numpy,Pandas,Knowledge of Hive and Data warehousing concept will be a plus point.JD - Strong analytical skills with the ability to collect, organise, analyse and interpret trends or patterns in complex data sets and provide reports & visualisations.- Work with management to prioritise business KPIs and information needs Locate and define new process improvement opportunities.- Technical expertise with data models, database design and development, data mining and segmentation techniques- Proven success in a collaborative, team-oriented environment- Working experience with geospatial data will be a plus.
About Role● Solving application security problems using ML by building a proof of concept and productionising ML pipelines● Conceptualising, designing and implementing ML platform/pipelines for solving ML problems at scale and in a quick iterative manner at massive data scale● Strong collaboration with Data scientist and other stakeholdersQualifications● Master’s degree in computer science from top universities (tier 1 only). Specialisation in ML is preferred. PhD from top Universities in the US and IISc in India is a strong plus.● Minimum 5 years of work experience in developing ML pipelines and products using Java and Python● Strong understanding of ML concepts and use of common ML algorithms applied to discrete sequences and high dimensional categorical data● Strong software development skills including familiarity with data structures & algorithms, software design practices.● Strong understanding of various ML frameworks● Experience of working on anomaly detection and security products will be a strong plus● Experience of working in SaaS enterprise companies will be a strong plus● Demonstration of knowledge in applied machine learning via participation in Kaggle-like challenges is an added bonusAs a founding engineer, you can expect top compensation, good startup equity to create mid/long term wealth, opportunity to create a top notch product/platform bottom-up, opportunity to work with some exceptional people with a strong workplace culture.