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
Responsibilities:· Partners with business stakeholders to translate business objectives into clearly defined analytical projects.· Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques to the specific business problem and then build the models that solve the problem.· Own the end-end process, from recognizing the problem to implementing the solution.· Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.· Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.Skills and Qualifications:· 3 years + of experience.· An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.· Experience with text mining, parsing, and classification using state-of-the-art techniques.· Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling.· Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.· Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.· Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.· Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
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
SD (ML and AI) job description:Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )Extensive data modeling and data architecture skillsProgramming experience in Python, RBackground in machine learning frameworks such as TensorFlow or KerasKnowledge of Hadoop or another distributed computing systemsExperience working in an Agile environmentAdvanced math skills (Linear algebraDiscrete mathDifferential equations (ODEs and numerical)Theory of statistics 1Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)Abstract algebraNumber theoryReal analysisComplex analysisIntermediate analysis (point set topology)) ( important )Strong written and verbal communicationsHands on experience on NLP and NLGExperience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
Looking for someone Experience working on Chatbot projects. Knowledge of Conversation platforms landscape Past experience with the Google DialogFlow tool - specifically the conversation design product Interpretation of business conversation flows and conversion of those flows into conversation configuration • Training multiple Chatbot models • Testing configured Chatbots • Understanding of deploying models to production • Good troubleshooting + problem-solving skills • Ability to Maintain growing sets of Chatbot Intents and DialogFlows
You will be responsible for design, development and testing of Products Contributing in all phases of the development lifecycle Writing well designed, testable, efficient code Ensure designs are in compliance with specifications Prepare and produce releases of software components Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.
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
Innoplexus offers Data as a Service and Continuous Analytics as a Service product, leveraging Artificial Intelligence and advanced analytics to help reduce the time to market, significantly.Our products leverage proprietary algorithms and patent-pending technologies to help global Life sciences & Financial services organizations with access to relevant data, real-time intelligence & intuitive insights, across the life cycle of the products.We automate the collection, curation, aggregation, analysis & visualization, of billions of data points from thousands of data sources, using domain-specific language processing, ontologies, computer vision, machine learning, network analysis and more.Location: PuneRequired qualification MS in Computer Science, Statistics, Applied Maths or related domain.Key Responsibilities:- Use machine learning & deep learning techniques to create new, scalable solutions for business problems.- Develop NLP & computer vision-based tools and technologies for acquiring, parsing, interpreting and visualizing unstructured data- Analyze and extract relevant information from large amounts of data to help in automating the solutions and optimizing key processes.- Help the team in building large scale continual/online learning system.- Help team to build experimentation to the production pipeline.- Stay current with the latest research and technology and communicate your knowledge throughout the enterprise- Come up with patentable ideas that provide us a competitive advantage.Required Experience:- Strong track record in AI / ML publications in renowned scientific journals or conferences.- Experience in any of the following: Computer Vision, Image Processing, Speech- Recognition, Natural Language Understanding, Machine Learning, Deep Learning, HCI,- Text Mining, Computational Genomics, Bioinformatics, other Machine Intelligence/Artificial Intelligence related areas.- Programming experience in one or more of the following: C, C++, Python.
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
Description Must have Direct Hands- on, 4 years of experience, building complex Data Science solutions Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling, using Python / R Experience should include the following, File I/ O, Data Harmonization, Data Exploration Machine Learning Techniques (Supervised, Unsupervised) Multi- Dimensional Array Processing Deep Learning NLP, Image Processing Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have excellent written and verbal communication skills Should be a team player with open mind
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 at Mezi building an AI-enabled chat-bot to bring online travel booking experience better. We are acquired by American Express in the month of January. As we are changing many major changes in our platform to scale and match Amex user's volume (in millions), our platform is going through some bigger changes. We are looking for IITian or NITian or exceptionally talented engineers with great experience of building high volume platform preferably in Python. Someone, who understand what is performance, what is scale and what is "platform"? You must have an end to end product development experience preferably in startup(s) OR at least product development companies. If you are working in services industry or banking or insurance domain, they Mezi may not be the right place for seeking any opportunity. You should have minimum 2years of experience or maximum 7 years. Compensation is not an issue with us for the right talent. You should be a coder and willing to code every day. You should be a great problem solver with a keen interest in writing optimistic algorithms. Please send your resume to firstname.lastname@example.org in case you are interested. Job location is Pune and ZERO travel to abroad, although our headquarter is in Sunnyvale, California. Thanks