JD..SAP ABAP S4 HANA CONSULTANT Design thinking to really understand the business problem Understanding new ways to deliver (agile, DT) Being able to do a functional design across S/4HANA and SCP). An understanding of the possibilities around automation/RPA (which should include UIPath, Blueprism, Contextor) and how these can be identified and embedded in business processes Following on from this, the same is true for AI and ML: What is available in SAP standard, how can these be enhanced/developed further, how these technologies can be embedded in the business process. There is no point in understanding the standard process, or the AI and ML components, we will need a new type of hybrid SAP practitioner.
About the internship Selected intern's day-to-day responsibilities include:1. Optimize components for maximum performance across a vast array of web-capable devices and browsers2. Understand business requirements and translate them into technical requirements3. Ensure that these components and the overall application are robust and easy to maintain4. Ensure technologies are used efficiently, profitably, and securely5. Evaluate and implement new systems and infrastructure Who can apply Only those candidates can apply who: 1. are available for full time (in-office) internship 2. can start the internship between 1st March 21 and 20th March 21 3. are available for duration of 4 months 4. are from Gurgaon and neighboring cities 5. have relevant skills and interests Other requirements 1. Good understanding of design and user experience principles 2. Ability to work independently as well as in a team and learn from colleagues 3. High adaptability in a dynamic start-up environment 4. Should be open-minded, flexible, and willing to adapt to changing situations 5. Excellent troubleshooting, analytical and problem-solving abilities with a tenacious commitment to finding the root cause of issues
SpecificationLocation: Chennai or Gurgaon Designation: Senior Analyst - Geospatial Analytics (Individual Contributor Role) Qualifications University degree in Computer Science, Engineering, Applied Mathematics, Geoinformatics, Quantitative Social Sciences or related field and excellent academic record required; advanced degree preferred 4-6 years of deep technical experience in working with spatial data and applying advanced statistical and machine learning algorithms. Proficiency with GIS software (e.g., ArcGIS) and geospatial approaches (spatial analysis, remote sensing, network analysis, geographic visualization, etc.) Familiarity of analytical packages such as R, Python, SAS, MATLAB, etc., and approaches (regression, decision trees, clustering, neural networks, etc.) Ability to work with relational databases such as SQL, PostGIS etc. Knowledge of distributed database systems (Hadoop, Spark, MapReduce) will be a plus Stakeholder management skills with ability to communicate and work with senior management effectively Skills to communicate complex ideas effectively
Director of Engineering will lead a team of 30+ engineers Responsible for a large piece of tech engineering and product roadmapDeployment, Scaling,Config Management, API Schemas, Logging, Alerting & Monitoring, Testing etc More than 6+ years in Software product companies requiredManaged a team
Come join an ed-tech company that is creating a future and industry ready generation with their excellent courses. Our client is one of the largest online education company in India. It focuses on training the students to be industry-ready and providing expert knowledge through the convenience of the internet.For software developers, learning programming languages needs to be practical. This is where the startup has helped more than 15000 students to turn theory into practical knowledge. Currently, offering 9 courses the startup has played a catalyst for thousands of students to land jobs at tech giants like Google, Amazon, Adobe, and Walmart. The startup enables students to follow a comprehensive curriculum and seek help from industry experts without facing any geological barrier.The founders of the startup are the alumnus of acclaimed institutes like IIT Delhi and Stanford University with experience of working in Amazon, Facebook, Cars24, and other top startups in India. As a Sr. Content Developer -ML/DS, you will coordinate with other teams like the product, student experience, program, tech to design the best learning experience for students. What you will do: Managing a team of 3-4 content developers working to create course content and projects Designing the course content curriculum based on the industry requirements and in interaction with industry experts Establishing the required guidelines and processes for the team to follow while creating the content Training, reviewing and guiding content developers on the content work that needs to be accomplished adhering to the timelines What you need to have: BE/ B.tech/ BCA/ M.Tech/ MCA with a computer science background Excellent problem-solving and team management skills. Minimum 3 years of experience working in the data science domain/ edtech content creation Exposure to Machine learning algorithms and working on Kaggle projects is preferred Ability to do a detailed review of the course content and design project problem statements Ability to train and guide a team of content developers to manage timelines and brainstorming on course content
Responsibilities: Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world. Verifying data quality, and/or ensuring it via data cleaning. Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML. To design and develop Machine Learning systems and schemes. To perform statistical analysis and fine-tune models using test results. To train and retrain ML systems and models as and when necessary. To deploy ML models in production and maintain the cost of cloud infrastructure. To develop Machine Learning apps according to client and data scientist requirements. To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective. Technical Knowledge: Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc. Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark, Pandas, Numpy and related libraries. Expert in visualising and manipulating complex datasets. Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc. Proficiency in Linear Algebra, statistics and probability required for Machine Learning. Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance. Big data Technologies such as Hadoop stack and Spark. Basic use of clouds (VM’s example EC2). Brownie points for Kubernetes and Task Queues. Strong written and verbal communications. Experience working in an Agile environment.
Responsibilities: Identify complex business problems and work towards building analytical solutions in-order to create large business impact. Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business. Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques. Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency. Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments. Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation. Review stakeholder objectives and team's recommendations to ensure alignment and understanding. Drive analytics thought leadership and effectively contributes towards transformational initiatives. Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
We are looking for passionate engineers and researchers that want to contribute in this exciting and fast moving field of Deep Learning and Research. Our client is a highly awarded AI and Machine Learning lab, which is disrupting the multi billion dollar Agriculture and commodities business globally. They are recognized as a de-facto business for expert AI capability in solutions that satisfy real world challenges in near real time. As the Lead Engineer - Deep Learning, you will be responsible for leading research, software implementation for new concept prototypes in the areas of computer vision and deep learning. What you will do: Focusing on developing new concepts and user experiences through rapid prototyping and collaboration with the best-in-class research and development team. Reading research papers and implementing state-of-the-art techniques for computer vision Building and managing datasets. Providing Rapid experimentation, analysis, and deployment of machine/deep learning models Based on requirements set by the team, helping develop new and rapid prototypes Developing end to end products for problems related to agritech and other use cases Leading the deep learning team What you need to have: MS/ME/PhD in Computer Science, Computer Engineering equivalent Proficient in Python and C++, CUDA a plus International conference papers/Patents, Algorithm design, deep learning development, programming (Python, C/C++) Knowledge of multiple deep-learning frameworks, such as Caffe, TensorFlow, Theano, Torch/PyTorch Problem Solving: Deep learning development Vision, perception, control, planning algorithm development Track record of excellence in the machine learning / perception / control, including patents, publications to international conferences or journals. Communications: Good communication skills
Our current operations research product is deployed at some of the largest organizations in the world. This role will be responsible for re-architecting the existing solution and adding components of machine learning and intelligence to its logic. We are looking for a passionate individual who loves technology and is willing to design and create a flexible long-lasting product architecture.
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
Job Description We are looking for a data scientist that will help us to 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 Skills and Qualifications Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc. Experience with Deep Learning preferred. Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable Great communication skills Proficiency in using query languages such as SQL, Hive, Pig Good applied statistics skills, such as statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality
Company Profile : Precily AI is a startup headquartered in Delhi NCR. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is a data- analysis platform for enterprises that increase the efficiency of the workforce by providing AI- based solutions. Responsibilities & Skills Required : The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following : 1) Natural Language Processing (NLP), Neural Networks, Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics. 2) Proven experience implementing and deploying advanced AI solutions using R/Python. 3) Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. 4) Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). 5) Hand on in handling large amounts of structured and unstructured data. 6) The measure, interpret and derive learning from results of the analysis that will lead to improvements document processing. Skills Required : 1) Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks 2) Word Vectorizers 3) Word Embeddings ( word2vec & GloVe ) 4) RNN ( CNN vs RNN ) 5) LSTM & GRU ( LSTM vs GRU ) 6) Pretrained Embeddings ( Implementation in RNN ) 7) Unsupervised Learning 8) Supervised Learning 9) Deep Neural Networks 10) Framework: Keras/Tensor flow 11) Keras Embedding Layer output
• Experience with Big Data, Neural network (deep learning), and reinforcement learning • Ability to design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning applications according to requirements • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test results • Extend existing ML libraries and frameworks • Keep abreast of developments in the field • Understanding of data structures, data modeling and software architecture • Deep knowledge of math, probability, statistics and algorithms • Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Tradeindia is looking for Machine Learning Engineers to join its engineering team. The ideal candidate will have industry experience working on a recommendation engine, a range of classification and optimization problems e.g.: Collaborative filtering/recommendation User journey prediction Search ranking Text/ sentiment classification or spam detection Predictive analytics The position will involve taking Algorithm and Programming skills and applying them to some of the most exciting and massive SMEs user data. Qualification: M.tech, B.tech, M.C.A. Location: New Delhi About the company: Launched in the year 1996 to offer the Indian Business community a platform to promote themselves globally tradeindia.com has created a niche as India's largest B2B marketplace, offering comprehensive business solutions to the Domestic and Global Business Community through its wide array of online services, directory services and facilitation of trade promotional events. Our portal is an ideal forum for buyers and sellers across the globe to interact and conduct business smoothly and effectively. With an unmatched expertize in data acquisition and online promotion, Tradeindia subsumes a huge number of company profiles and product catalogs under 2,256 different product categories and sub-categories. It is well promoted on all major search engines and receives an average of 20.5 million hits per month. Tradeindia is maintained and promoted by INFOCOM NETWORK LTD. Today we have reached a database of 47,66,674 registered users (Jan 2019), and the company is growing on a titanic scale with a considerable amount of new users joining/registering everyday, under the innovative vision and guidance of Mr. Bikky Khosla, CEO.
•Analytics, Big Data, Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms Share CV to me at
Location: Gurgaon Role: • The person will be part of data science team. This person will be working on a close basis with the business analysts and the technology team to deliver the Data Science portion of the project and product. • Data Science contribution to a project can range between 30% to 80%. • Day to Day activities will include data exploration to solve a specific problem, researching of methods to be applied as solution, setting up ML process to be applied in context of a specific engagement/ requirement, contributing to building a DS platform, coding the solution, interacting with client on explanations, integration the DS solution with the technology solution, data cleaning and structuring etc. • Nature of work will depend on stage of a specific engagement, available engagements and individual skill At least 2-6 years of experience in: • Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms o Time Series Analysis o Optimization techniques and work experience with solvers for MILP and global optimization. • Data Science o Good experience in exploratory data analysis and feature design & development o Experience of applying and evaluating ML algorithms to practical predictive modeling scenarios in various verticals including (but not limited to) FMCG, Media, E-commerce and Hospitality. • Proficient with programming in Python (must have) & PySpark (good to have). Parallel ML algorithms design and development and usage for maximal performance on multi-core, distributed and/or GPU architectures. • Must be able to write a production ready code with reusable components and integration into data science platform. • Strong inclination to write structured code as per prevailing coding standards and best practices. • Ability to design a data science architecture for repeatability of solutions • Preparedness to manage whole cycle from data preparation to algorithm design to client presentation at individual level. • Comfort in working on AWS including managing data science AWS servers • Team player and good communication and interpersonal skills • Good experience in Natural Language Processing and its applications (Good to Have)
Senior Unity Developer 1. Excellent knowledge of AR & VR unity. 2. At least 4 years of professional experience with Unity 3D C# programming of which at least 2 years with Machine Learning Unity. 3. Good understanding of native development (Android and iOS) 4. Experience with scripting, animation, UI and user session management 5. Excellent Knowledge and experience with game physics. 6. Experience in optimizing memory and space usage. 7. Develop high-quality Apps with Unity in C# for mobile platforms (iOS and Android) 8. Ready to take on challenges and help with technical aspects around the app like testing, release, and improvement. 9. Communicate with other team members to establish an effective pipeline 10. Design, build and maintain efficient, reusable, and reliable code 11. Ensure the best possible performance, quality, and responsiveness of applications 12. Identify bottlenecks and bugs, and devise solutions to address and mitigate these problems. 13. Experience working with 3D animation team(like familiar with Maya etc ) 14. Experience in plugin development(Android/ios)
• Using statistical and machine learning techniques to analyse large-scale user data, including text data and chat logs; • Applying machine learning techniques for text mining and information extraction based on structured, semi-structured and unstructured data; • Contributing to services like chatbots, voice portals and dialogue systems • Input your own ideas to improve existing processes on services and products