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
Experience: Minimum 4 years of experience or Master’s Degree in Data Science industry Experience of leading data analytics team would be preferred. Responsibilities The role requires deep knowledge in text mining, data wrangling, testing and deploying analytics solutions including the following: Natural Language Processing (NLP), Working with different data sources, Text Clustering, Statistical Modelling, Topic Modelling, Information Extraction, Information Retrieval, API’s & Web Scraping, Hypothesis Testing, cognitive science, and analytics. Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). The measure, interpret and derive learning from results of the analysis that will lead to improvements in document processing. Team Management - Data Analysis Skills and Qualifications Python, NLP, NLG Text Mining Implemented Data Pipelines using Tensorflow/Pytorch Hands on experience on managing unstructured and structured data Machine Learning, Deep Learning & Neural Networks(Knowledge) Unsupervised & Supervised Learning GPU Computing Good knowledge of statistics/probability/Linear Algebra/Vector Calculus Frameworks: Keras/Tensorflow/PyTorch
Who Are We A research oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery. Essentially, Orbo is creating an amazing domino effect where network providers save extra bandwidth, content provider gets enhanced resolutions and customer gets the best experience. WHY US Join top AI company Grow with your best companions Continuous pursuit of excellence, equality, respect Competitive compensation and benefits You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make camera intelliget and images more informative. To learn more about how we work, please check out https://www.orbo.ai/. Job Scope Design and implement computer vision algorithms to solve problems like image segmentation, image enhancement, and image classification. Exploring the productization of computer vision related technology in different segments like OEM, Ecommerce, Beauty care, etc. What We’re Looking For Alignment with the small close-knit team at ORBO. This is with respect to vision, work culture and other similar aspects Ability to adapt and learn quickly Prior experience in machine learning and image processing/computer vision. Experienced in using C/C++/Python/OpenCV/Open GL and other open-source libraries. Preparation of training dataset, image enhancement, segmentation and classification What We Offer You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and telecom companies. As the team is small, you will easily be able to see the direct impact of what you build on our customers (Trust us - it is extremely fulfilling!) You will be in charge of what you build and be an integral part of the product development process Competitive compensation (Don't worry about this!) (6-14LPA)
Position : Head Data Science Client Name : A Fintech Start-up Job Location : Delhi Experience : 8 - 12 Yrs. (Relevant ) Qualifications : B.E. / B. Tech ( from Tier 1 Institutions) Skills Required : Candidate should have min 8 years of strong hands on Data Science, Machine Learning Algorithms experience and has worked on big data stacks. Candidate should have experience in working in any p roduct start-up/ analytics/fintech firm. Min 7+ years of expertise working on and managing analytics/data science teams with consumer-facing companies (ideally in the eCommerce and/or subscription space). Fluency in R, Python, or Julia . Experience with relational databases / SQL . Experience using Dynamo, Cassandra, Hbase , or other non-relational DB. High skill in data visualization . Proven ability to set a vision of where we will be in 2-5 years and set in place the systems-level thinking to get there. General industry knowledge of how distributed database infrastructure has been the solution to handling some of the biggest data warehouses on the planet. Solid understanding of the Data Scientist project life-cycle processes. Deep understanding how to extract data from homogeneous or heterogeneous data sources ( ETL ), and transform the data for storing it in the proper format or structure for the purposes of querying and analysis.
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
Title ML Physicist/ ML Researcher Your responsibilities: 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 deadlines are metAnalysing the ML algorithms that could be used to solve a given problem and ranking them by their success probabilityExploring 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 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 Required Skills: 1st PriorityProficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Proficiency in Algorithm building and coding from journal papers Expertise in visualizing and manipulating big datasetsFamiliarity with Linux 2nd Priority Ability to select hardware to run an ML model with the required latency. Proficiency with a deep learning framework such as Tensor Flow or Keras Proficiency with Open CV Automation experience with at least one configuration/deployment management system such as Google Deployment Manager, Terra form, Chef, Puppet, Ansible, AWS Cloud Formation, Salt, or other such tools Education: Bachelors from Computer Science, Electrical Engineer, Mathematics or Physics graduate with signal processing coursework or any related technical field, or equivalent practical experience. Compensation: Salary (Fixed) + Bonus You should join us if: The ideal candidate will be passionate about coding various algorithms and stay up-to-date with the latest developments in the field of signal processing & Data Science.
We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.Type of data in .sgy, .csv, .las format.ResponsibilitiesUnderstanding 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 deadlines are metAnalyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probabilityExploring 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 worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededDefining validation strategiesDefining the preprocessing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyperparametersAnalyzing the errors of the model and designing strategies to overcome themDeploying models to productionSkillsProficiency with a deep learning framework such as TensorFlow or KerasProficiency with Python and basic libraries for machine learning such as scikit-learn and pandasExpertise in visualizing and manipulating big datasetsProficiency with OpenCVFamiliarity with LinuxAbility to select hardware to run an ML model with the required latencyBTech Computer Science, a related technical field, or equivalent practical experience.Automation experience with at least one configuration/deployment management system such as Google Deployment Manager, Terraform, Chef, Puppet, Ansible, AWS Cloud Formation, Salt, or other such tools
DESIRED CHARACTERISTICS The incumbent will be techie at heart who will be responsible for managing and enhancing the Technology solutions that enable our business to achieve a scalable and reliable growth. They will be a competent technology leader able to provide guidance to our developers who enhance performance in a manner that enables high-quality code deployment for scalable solutions. KEY RESPONSIBILITIES Building consumer facing product that caters to millions of users that visit or use our platform on a daily basis Creating tech products which are agile & flexible in nature – micro-services driven development approach Building of platforms that are self-service driven to enable lending operations, catering to B2B and B2C customers Development of Machine Learning based products that are big data driven and continuously enhance our Lending & match-making algorithms QUALIFICATION and REQUIREMENTS Experience of leading technology team of developers Experience of building scalable technology architecture Experience of using Scrum and Agile Methodologies of software development Experience of working with .Net, ASP.Net (C#), MVC & Azure technologies(added advantage) Understanding of backend architecture and DevOps methodologies for effective implementation Experience range and educational backgrounds EXPERIENCEOverall : 5 to 8 years Relevant: 2+ yearsGRADUATIONAny educational background in any field is preferred.
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
Job Description: The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities. Who are you? Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions You use cloud for more than just provisioning a Virtual Machine Vim is friendly to you and you know how to exit Nano You check logs before screaming about an error You are a solid engineer who writes modular code and commits in GIT You are a doer who doesn’t say “no” without first understanding You understand the value of documentation of your work You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines Eligibility At least 2 years of Data Engineering Experience Have interacted with Customers Must Have Skills: Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES Apache Spark Python Scala PostgreSQL Git Linux Good to have Skills: Apache NiFi Apache Kafka Apache Hive Docker Amazon Certification