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Deep Learning Jobs

Explore top Deep Learning Job opportunities for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Machine Learning Intern
Machine Learning Intern

Founded 2018
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Remote only
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0 - 1 years
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Key tasks: Leverage knowledge of data science, methodologies, and processing techniques to analyze vast amounts of chat data for monitoring & support. Perform statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Investigate and implement new scientific analysis and methodologies to support big data analytics efforts   REQUIRED EXPERIENCE: Experience with machine learning and artificial intelligence techniques and their implementations in open source technologies. Good knowledge of Linear Algebra, Probability, Calculus, Statistics, Machine Learning Algorithms such as Decision Trees, SVM, and others, Deep Learning Algorithms such as CNN, RNN, LSTM and others.  Experience in retrieving, manipulating, fusing, and exploiting multiple structured and unstructured data sets from various sources. Experience with analyzing large volumes of data using distributed Ability to identify and analyze anomalous data (including metadata) Ability to assess the feasibility of existing methods, models, and algorithms recognizing the capabilities and limitations of methods. Ability to work in a small, mission-critical, DevOps team.   What do we expect from you? You have the ability to work in a fast-paced environment adapting to changing priorities You are focused and detail-oriented but know when to seek help from others You have excellent written and verbal communication skills to articulate problems and solutions to both technical and non-technical audiences You possess superior troubleshooting and analytical skills to determine the root cause of issues You strive to identify areas of improvement and work proactively to prevent issues from occurring You are a self-starter with an appreciation for tackling technical challenges of varying complexity You are diligent when making decisions and can easily justify your actions.

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Principal Machine Learning Architect
Principal Machine Learning Architect

Founded 2011
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Chennai
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12 - 100 years
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If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us.   About the Team: Toyota Connected India is hiring talented engineers at Chennai to use Deep Learning, NLP, High performance micro services and other cutting-edge technology to transform the customer experience with their vehicle. From making it possible to start your car and check fuel range in the comforts of your home to enhancing the communication with our vehicles and how our vehicles communicate with each other and the world around us Toyota Connected makes driving a Toyota or Lexus a high-class experience.   Core Values: Passion: We strongly believe in Passion, we are here to build something great, not just for the money. We care very much about our products, the millions of customers and how to improve every bit of customer experience. Innovative: We think out of the T, experiment with ideas to get to the best solution. Any constraint is a challenge and we love looking for ways to solve them. Empathetic: We always begin by looking at the world from the perspective of our customers, our teammates, other teams in the company, and our partners. Collaborative: We love collaborating with people, understand that everyone has a role to play in the success. Effective: We consistently go beyond, being smart and proactive, to make things happen, not waiting to be told.   Job Description: The Toyota Connected team is looking for a Principal Machine Learning Architect to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly-energized, fast-paced, innovative and collaborative startup environment.   What you will do: Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations Partner with leaders in the area and have insights to select off the shelf components vs building from the scratch Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users Be hands-on where required and lead from the front in following best practices in development and CI/CD methods Own delivery of features from top to bottom, from concept to code to production Develop tools and libraries that will enable rapid and scalable development in the future Architect key paradigms, pipelines and other mechanisms to take ML systems from proof of concepts to realities in Production Successfully devise and implement strategies to ensure ML heavy systems operate with high accuracy in Production and adapt to discovered needs   You are a successful candidate if: You are smart and can demonstrate it You have 10+ years of experience as senior developer/technical architect for high-tech products or services and you have 3+ years of hands-on experience delivering products or solutions that utilized Machine learning, Natural Language processing or other forms of AI solutions (Computer Vision/ Mathematical Optimization) Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models) Expertise in a variety of Deep Learning architectures including Residual Networks, RNN/CNN, Transformer, and Transfer Learning – And delivering value using these in real production environments for real customers You have deep proficiency in Python and at least one major language (C++, Java or Go) You are very fluent in one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these You preferably have proficiency and experience in NLP You have partnered with Product owners & business stakeholders to lead ROI analysis, business modeling and other activities required to convert Proof of concepts to real-life products that are successfully launched You have experience in operations after launch, for a system heaviliy involving ML workloads We think the knowledge acquired earning a degree in Computer Science or Math would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time.   What’s in it for you?  Top of the line compensation! You'll be treated like the professional we know you are and left to manage your own time and workload. Yearly gym membership reimbursement. & Free catered lunches. No dress code! We trust you are responsible enough to choose what’s appropriate to wear for the day. Opportunity to build products that improves the safety and convenience of millions of customers. Coming soon: Cool office space and other awesome benefits!

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Machine & Deep Learning Engineer | Bangalore
Machine & Deep Learning Engineer | Bangalore

Founded 2015
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Remote, Bengaluru (Bangalore)
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4 - 7 years
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You are expected to build Deep learning models to process unstructured data like images and scanned financialdocuments and convert it to meaningful tables with optical character recognition technologies.You are also expected to build Machine Learning and Deep learning models for facial recognition, and object comparison.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in thefield.• Strong problem solving skills with an emphasis on deep learning product development.• Experience in computer vision, optical character recognition, facial recognition and deep learning• Strong implementation knowledge on Array Data Structures 2D and 3D• Strong knowledge in image processing, CNN deep learning architectures, image augmentation with tensorflowand pytorch• Experience using machine learning computer languages (R, Python, SLQ, etc.) to manipulate data and drawinsights from large data sets.• Experience in building ML pipelines with Apache Spark, Python• Proficiency in implementing end to end Data Science Life cycle• Experience in Model fine tuning and advanced grid search techniques• Experience working with and creating data architectures.• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neuralnetworks, etc.) and their real-world advantages/drawbacks.• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statisticaltests and proper usage, etc.) and experience with applications.• Excellent written and verbal communication skills for coordinating across teams.• A drive to learn and master new technologies and techniques.• 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 andother 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.Key skills:● Strong knowledge in Data Science pipelines with Python, deep learning architectures● OCR Tesseract, OpenCV, Scikit, Pandas, Numpy, pytorch and tensorflow● Object oriented programming● A/B testing framework and model fine tuningNice to have:● Ability to work with containerised solutions: Docker/Compose/Swarm/Kubernetes● Unit testing, Test driven development practice● DevOps, Continuous integration/ continuous deployment experience● Agile development environment experience, familiarity with SCRUM

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Senior AI Engineer
Senior AI Engineer

Founded 2019
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Bengaluru (Bangalore)
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2 - 7 years
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Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEO - linkedin.com/in/vikas-goel-cfa-77 58 79 10Raman Kishore - CTO - linkedin.com/in/kramankishore   We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

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AI Engineer
AI Engineer

Founded 2019
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Bengaluru (Bangalore)
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1 - 4 years
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Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEO - linkedin.com/in/vikas-goel-cfa-77 58 79 10Raman Kishore - CTO - linkedin.com/in/kramankishore   We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

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Deep Learning Engineering
Deep Learning Engineering

via Unnati
Founded 2015
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NCR (Delhi | Gurgaon | Noida)
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3 - 6 years
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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 Required Candidate profile 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

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Machine Learning Engineer
Machine Learning Engineer

via Zycus
Founded 1998
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Bengaluru (Bangalore)
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2 - 13 years
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We are 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. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Skills: Experience in predictive modelling and predictive software development Skilled in Java, C++, Perl/Python (or similar scripting language) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic optimisation (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Must Have: Experience: 3-9 years The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage Preferred experience with large data sets & distributed computing in Hadoop ecosystem Fluency with databases

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Sr. Data Scientist | Chennai
Sr. Data Scientist | Chennai

Founded 2015
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Chennai
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4 - 7 years
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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. Deep learning

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Senior Data Scientist | Chennai
Senior Data Scientist | Chennai

Founded 2015
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Chennai
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5 - 8 years
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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. Deep learning

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ML Researcher
ML Researcher

Founded 2018
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NCR (Delhi | Gurgaon | Noida)
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1 - 3 years
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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

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Data Scientist |Chennai
Data Scientist |Chennai

Founded 2015
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Chennai
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3 - 7 years
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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.

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Senior Machine Learning Engineer
Senior Machine Learning Engineer

Founded 2017
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Mumbai
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3 - 7 years
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Company Profile and Job Description   About us:   AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries.   For more details visit: www.athenasowl.tv       Role:    Senior Machine Learning Engineer   Experience Level:    4 -6 Years of experience   Work location:    Mumbai (Malad W)       Responsibilities:    Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale     The ideal candidate should have:    Strong programming skills in any one or more programming languages like Python and C/C++ Sound fundamentals of data structures, algorithms and object-oriented programming Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc. Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.) Ability to quickly learn and communicate the latest findings in AI research Creative thinking for leveraging machine learning to build end-to-end intelligent software systems A pleasantly forceful personality and charismatic communication style Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”

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Data Scientist
Data Scientist

via Zycus
Founded 1998
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Bengaluru (Bangalore)
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1 - 10 years
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Best in industry{{renderSalaryString({min: 700000, max: 2500000, duration: "undefined", currency: "INR", equity: false})}}

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.

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Data Analyst
Data Analyst

Founded 2017
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NCR (Delhi | Gurgaon | Noida)
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4 - 7 years
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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

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Machine Learning Engineer
Machine Learning Engineer

Founded 2009
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Pune
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0 - 5 years
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Best in industry{{renderSalaryString({min: 100000, max: 800000, duration: "undefined", currency: "INR", equity: false})}}

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

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Sr. Data Scientist
Sr. Data Scientist

Founded 2017
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Nagpur, Hyderabad
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3 - 10 years
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Responsibilities:   The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.  The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML