Chief Architect Product Position JD:- An experienced and hands-on Technical Architect to lead our Video analytics & Surveillance product• An ideal candidate would have worked in large scale video platforms (Youtube, Netflix, Hotstar, etc) or Surveillance softwares• As a Technical Architect, you are hands-on and also a top contributor to the product development• Leading teams under time-sensitive projectsSkills Required:• Expert level Python programming language skills is a MUST• Hands-on experience with Deep Learning & Machine learning projects is a MUST• Has to experience in design and development of products• Review code & mentor team in improving the quality and efficiency of the delivery• Ability to troubleshoot and address complex technical problems.• Has to be a quick learner & ability to adapt to increasing customer demands• Hands-on experience in design and deploying large scale docker and Kubernetes• Can lead a technically strong team in sharpening the product further• Strong design capability with microservices-based architecture and its pitfalls• Should have worked in large scale data processing systems• Good understanding of DevOps processes• Familiar with Identity management, Authorization & Authentication frameworks• Possesses very strong Software Design, enterprise networking systems, advanced problem-solving skills• Experience writing technical architecture documents
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
Lead Data Scientist Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & fastest-growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. How we work? It’s all about being Happier first. And the rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Lead Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : Collaborate with team members to develop new models to be used for classification problems Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks Use independent judgment to take existing data and build new models from it Collaborate and provide technical guidance Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences Improving existing models and creating self-learning systems. Stakeholder management and leadership Decision making and problem-solving Accomplishment Set : Extensive experience with Hadoop and Machine learning algorithms Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence) Passion for solving NLP problems Experience with specialized tools and project for working with natural language processing Programming experience in Python Knowledge of machine learning frameworks like Tensorflow, Pytorch Experience with software version control systems like Github Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills Education and Experience : B. E. / B. Tech / Masters in Computer Science Strong in academics and good aptitude Excellent communication skills with a flair to learn quickly 4-8 years of relevant experience Research and implement novel machine learning and statistical approaches Prior exposure to product development would be an added advantage
3+ years of experience in Machine Learning Bachelors/Masters in Computer Engineering/Science. Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts. 10 and 12th acedemics 70 % & above. Skills : - Strong Python/ programming skills - Good conceptual understanding of Machine Learning/Deep Learning/Natural Language Processing - Strong verbal and written communication skills. - Should be able to manage team, meet project deadlines and interface with clients. - Should be able to work across different domains and quickly ramp up the business processes & flows & translate business problems into the data solutions
About usAikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.Get in touch If you are interested. Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team.Main Duties● Quickly research the latest innovations in Machine Learning, especially with respect toNatural Language Understanding & implement them if useful● Train models to provide different insights, mainly from text but also other media such as Audio and Video● Validate the models trained. Fine-tune & optimise as necessary● Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers● Build preprocessing pipelines for the models that are bieng served as a REST API● Periodically, test & validate models in use. Update where necessaryRole & RelationshipsWe consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEOEducational QualificationsWe don’t discriminate. As long as you have the required skill set & the right attitudeExperienceUpto two years of experience, preferably working on ML. Freshers are welcome too!SkillsGood● Strong understanding of Java / Python● Clarity on concepts of Data Science● A strong grounding in core Machine Learning● Ability to wrangle & manipulate data into a processable form● Knowledge of web technologies like Web server (Flask, Django etc), REST API'sEven better● Experience with deep learning● Experience with frameworks like Scikit-Learn, Tensorflow, Pytorch, KerasCompetencies● Knowledge of NLP libraries such as NLTK, spacy, gensim.● Knowledge of NLP models such as Wod2vec, Glove, ELMO, Fasttext● An aptitude to solve problems & learn something new● Highly self-motivated● Analytical frame of mind● Ability to work in fast-paced, dynamic environmentLocationPuneRemunerationOnce we meet, we shall make an offer depending on how good a fit you are & the experience you already have
Job Description: Roles & Responsibilities: · You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production. · You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients. · You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs. Desired Skill Set: · Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries. · Hands-on skills and industry experience in one or more of the following areas is necessary: 1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs) 2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods) 3) Natural Language Processing 4) Graph Databases (Neo4j, Apache Giraph) 5) Azure Bot Service 6) Azure ML Studio / Azure Cognitive Services 7) Log Analytics with NLP/ML/DL · Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus. · Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer. · Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.
• 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). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
You are responsible for: * Developing algorithms to challenge the state-of-the-art in deep learning for NLP * Generating and implement new ideas for applied AI in travel * Creating AI solutions for automated dialogue (chat bots); natural texting for booking flights, hotels etc. * Build highly performant, real time, end to end, responsive request/recommendation engines powered by natural language processing and other machine learning techniques * Build and evolve/train NLP platform from natural language text data being gathered from users on daily basis * Code using primarily Python, No-SQL, and Google Cloud (AppEngine) stack. Speed, Speed, Speed - must be a performance freak! Requirements * B.E. from IIT or NIT or Tier-1 Institutes ONLY or MS from reputed institutions or Ph.D. in Computer Science, Natural Language Processing, Computational Linguistics or closely related field * 2+ years of Natural Language Processing experience * Ability to productize research efforts into end to end running application. * Ability to work with other platform engineers; learn, build, deploy, run, debug code. * Expertise in Applied Machine Learning, Neural Networks & Deep Learning for NLP tasks * Software programming in Java or Python and knowledge of SQL and NoSQL databases * Strong understanding of other AI tools and applications like TensorFlow, Spacy, Google Cloud ML is a BIG plus. * Fundamentally very strong in software engineering principles * Track record of scientific publications and presentation at scientific conferences is a PLUS You can look forward to a lot of impacts and a lot of freedom. With that comes the responsibility to ship quality code, so we’re looking for people that take quality as a point of pride. You will be a key member of the Platform & AI research staff working on our innovative conversational commerce product. The ultimate goal of our AI team is to build a powerful and scalable AI platform that learns from users and in-house experts on a daily basis, knows more than what it’s taught and keeps learning and getting better every day.
We are a startup looking to redefine how education is perceived and as such believe in a strong independent motivation to learn new things and we look for the same in our employees. The job of the senior developer will bleed in to all aspects of the product cycle not limited to his/her area of expertise and will be expected to have the ability to adapt and learn rapidly on very short iterations of product cycles. Since we are in the early stages we will offer exciting ESOPs to our early employees as well. Cover letters are so old fashioned. Show us who you are with a cover-letter-video. Upload your video to youtube or vimeo. We look forward to meeting you.