Couture AI Platform provides Pluggable Building Blocks to the entire AI stack, which is used to build and produce varied enterprise ML and deep learning use cases. It has enabled some of the largest global organizations to implement specific vertical targeted products build on top of its proprietary AI platform. Experience: Building large scale AI models and/or systems. Expertise with Data, Machine Learning, and Deep Learning (CNN, RNN, LSTM, RBM, Seq-to-Seq Autoencoders Decoders, etc.). Strong data structures and algorithms capabilities. Looking for data science researchers. Strong working knowledge of deep learning, machine learning, and statistics. - Domain understanding of Personalization, Search, and Visual. Strong math skills with statistical modeling and machine learning. Experience in using Python, statistical/machine learning libs. Hands-on experience building models with deep learning frameworks (TensorFlow & TF tooling: TFX, TF Serving, Tensor Board, etc.). Ability to think creatively and solve problems. Preferred: Publications in highly accredited journals (If available, please share links to your published work.).Or, history of scaling ML/Deep learning algorithms at a massively large scale.
About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought- after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Role Summary Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Roles & Responsibilities 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Skills Required Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science technique
Associate Director – Data ScienceTiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.About the Role:As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.• Work closely with internal teams and client stakeholders to design analytical approaches tosolve business problems• Develop and enhance a broad range of cutting-edge data analytics and machine learningproblems across a variety of industries.• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &versioning, documentation, scaling, deployment, monitoring and maintenance etc.• Lead a team of data scientists and engineers to embed AI and analytics into the clientbusiness decision processes.Desired Skills:• High level of proficiency in a structured programming language, e.g. Python, R.• Experience designing data science solutions to business problems• Deep understanding of ML algorithms for common use cases in both structured andunstructured data ecosystems.• Comfortable with large scale data processing and distributed computing• Excellent written and verbal communication skills• 10+ years exp of which 8 years of relevant data science experience including hands-onprogramming.Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
ML ARCHITECT Job Overview We are looking for a ML Architect to help us 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. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods 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 Creating automated anomaly detection systems and constant tracking of its performance Assemble large, complex data sets that meet functional / non-functional business requirements. Secure and manage when needed GPU cluster resources for events Write comprehensive internal feedback reports and find opportunities for improvements Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model. Skills and Qualifications Strong Hands-on experience in Python Programming Working experience with Computer Vision models - Object Detection Model, Image Classification Good experience in feature extraction, feature selection techniques and transfer learning Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM. Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources. Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques. Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms. Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps. We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage) Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.
GREETINGS FROM CODEMANTRA !!! EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!! Skills and Qualifications *Strong Hands-on experience in Python Programming *** Working experience with Computer Vision models - Object Detection Model, Image Classification * Good experience in feature extraction, feature selection techniques and transfer learning * Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM. * Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources. * Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques. * Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms. * Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps. * We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.Responsibilities*Selecting features, building and optimizing classifiers using machine learning techniques*Data mining using state-of-the-art methods*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*Creating automated anomaly detection systems and constant tracking of its performance*Assemble large, complex data sets that meet functional / non-functional business requirements.*Secure and manage when needed GPU cluster resources for events*Write comprehensive internal feedback reports and find opportunities for improvements*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model Regards Ranjith PR
We seek a highly motivated individual with demonstrated analytical abilities for the role of Data Scientist based in Delhi. The Data Scientist will analyze programme data and support government stakeholders in scientific research. The Data Scientist will also be responsible for synthesizing data from multiple datasets and creating frameworks for analyzing program data which can be used for informing strategic programmatic decisions. The Data Scientist will also be responsible to propose additional research and program management initiatives supported with data/data collection exercises. The following criteria are mandatory requirements and we strongly encourage that you apply only if you meet all these criteria: Master's/Bachelor’s degree in engineering and or related fields (Courses with Linear Algebra, Calculus, computer programming) with 5+ years’ work experience Experience in integrating ML projects into software systems Proficient in SQL: Ability to write production-grade queries (including nested queries)Understanding of stored procedures, partitioning of tables, AD security, and indexes Proficient in R/Python: Familiarity with control structures, loops, OOPS principles Understanding of notebooks Familiarity with data structures and algorithms - Intermediate Understanding of text operations including regular expressions, string processing Proficient in machine learning techniques Familiarity with Linear and Logistic Regressions Basic experience with tree and tree ensemble learning techniques (Bagging and Boosting) Familiarity with unsupervised learning techniques (knn, Cosine similarity, hierarchical clustering) Proficient in NLP (Named Entity Extraction, POS Tagging, Cosine Similarity, Sequence Networks such as RNN (Recurrent Neural Networks,) BERT, Word2Vec) Experience with distributed systems such as Hadoop / Spark (PySpark / SparkR) Experience in open-source BI tools such as Metabase and D3
Data Analyst: The following criteria are mandatory requirements and we strongly encourage that you apply only if you meet all these criteria: An engineering graduate from a reputed college Minimum 2+ years of work experience in Data-Driven Projects/Analysis or Machine Learning Projects. Projects in NLP would be an added advantage. Should have experience in end-to-end POC development and demonstrations. Should possess strong fundamentals in Data structures, modeling, exploration and visualization. Highly skilled in Python, R and other ML techniques, frameworks & libraries. Excellent communication skills in English. Please attach your portfolio (i.e GitHub) to review your project codes.
In this role, we are looking for: A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them. The unique person who can present complex mathematical solutions in a simple manner that most will understand, using data visualization techniques to tell a story with data. An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice. A team mentality, empowered by the ability to work with a diverse set of individuals. A passion for data, with a particular emphasis on data visualization. Basic Qualifications A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on data analytics. 5+ Years professional experience, preferably in a data analyst / data scientist role or similar, with proven results in a data analyst role. 3+ Years professional experience in a leadership role guiding high-performing, data-focused teams with a track record of building and developing talent. Proficiency in your statistics / analytics / visualization tool of choice, but preferably in the Microsoft Azure Suite, including PowerBI and/or AzureML.
Computer vision engineerJob descriptionArtelus is an AI healthcare product company that is bringing healthcare to billions using deep learning.We are working in the Deep Learning space to solve healthcare problems. We seek to make products, which would complement the knowledgeand assist the clinician in making faster and accurate diagnoses.We are leveraging cutting-edge technologies like Deep Learning and artificial intelligence to increase the capacity of healthcare providersenabling them to offer higher quality care without overburdening the system.Solutions using Deep Learning Algorithms have a higher rate of accuracy and early detection can save lives.We are looking for creators who can build products that our customers love. The challenge for you will involve understanding, and building for, anunforgiving consumer who invests a lot of trust into the product YOU will build. Your product will be used by thousands.You'll be responsible for:Writing quality code using language best practicesWorking in a highly collaborative teamBuilding good software using the latest tools and techniquesParticipating in design reviews, coding modules, code reviews, and unit testingTaking ownership of the quality and usability of your codeRequirementsYou are an expert in computer vision algorithms - segmentation, homographyYou are an expert in image processing algorithms - morphology, filtering, enhancementYou are good in deep learning - classification, segmentationYou possess good enough knowledge of Linear algebraYou are aware of recent developments in deep learningYou have developed Image classification and segmentation models using deep learningYou are an expert in Python, OpenCV, TensorflowYou have worked with Numpy, Pandas, etcYou must have worked for 3+ years in building computer vision applicationsYou can use GIT wellYou are an open-source contributorYou have completed BTech in CSE/ECE/EEEYou have published papers in international conferences (OPTIONAL)We Value:Entrepreneurial spirit. Everywhere you go, you can’t help but mobilize people, build things, solve problems, roll up your sleeves, goabove and beyond, raise the bar. You are an insatiable doer and driver.Strong execution and organization. Your team will be working with engineers and product leads at the bleeding edge of the developmentcycle. To be successful in this role, you should be comfortable executing with little oversight and be able to adapt to problems quicklyStrategic mindset - you’re comfortable thinking a few steps ahead of where the team is at nowWhat you’ll get:Very competitive salary with performance bonusActive promotion of your professional career by sending you to events, hackathons, user groups, etc.Weekly time-slot where you are encouraged to spend time to play around with new technology or self-learning
We are looking for an exceptional Data Science Community Evangelist to help us grow the reach and engagement of our public-facing community product.Datapane is an open-source framework which data scientists use to create interactive reports using Python. Our free public platform for report sharing is used by data scientists to publish visualizations, datasets, and analyses which over 40,000 people in the data science community consume each month. Reports are often embedded into platforms such as Medium and Reddit, where they have become a core part of the stories data scientists are sharing with their readers.We are looking for an exceptional hire to work directly with the CEO to help grow and nurture our community and the user-generated content they create.Responsibilities include: - Designing campaigns and collaborating with the product team to optimize conversion rates from impression → sign-up → active user → sharing- Optimizing the reach of Datapane public by identifying, engaging, and managing a team of data science evangelists and content contributors- Ideation, planning, and strategy of supporting data science content and examples- Celebrate top community content and recognize contributors- Create new programs or events to drive global engagement and brand awareness- Discovery, engagement, and management of high-value partner and community channels (e.g. external blogs, forums, newsletters)- Plan and manage all internal channels, such as our newsletter, blog, social media, by conducting user interviews, content spotlights, etc.- Identification and nurturing of sales qualified leads for our enterprise productKnowledge of the data science space (or practical data science experience) would be a big plus, as would experience working with open-source or developer-tools communities. As this is a role with significant ownership, you should be able to manage yourself by focusing on the highest-leverage use of your time and resources. Additionally, the right person should understand the metrics and data around what helps users perform well or poorly, and understand how to improve engagement quality as well as quantity.We are based in the UK, but are a distributed team and this is a remote-first role, candidates within GMT+-10 and strong (written) English skills are highly recommended.
Responsibilities Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data. Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems. Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis. Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, training models and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome them Selecting features, building and optimizing classifiers using machine learning techniques Extending the company’s data with third party sources of information when needed Creating automated anomaly detection systems and constant tracking of its performance Skills and Qualifications Bachelors in mathematics, statistics or computer science or a related field; Masters or PHD degree preferred. Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai) Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud Experience with building and deploying predictive and prescriptive analytics models Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues. Strong communication and interpersonal skills
Data Scientist Lead / ManagerJob Description:We are looking for an exceptional Data Scientist Lead / Manager who is passionate about data and motivated to build large scale machine learning solutions to shine our data products. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modeling of terabytes of daily data for various use cases.Location: Pune (Initially remote due to COVID 19)About the Organisation :- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom and India.- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.Qualifications:• 8+ years relevant working experience• Master / Bachelors in computer science or engineering• Working knowledge of Python and SQL• Experience in time series data, data manipulation, analytics, and visualization• Experience working with large-scale data• Proficiency of various ML algorithms for supervised and unsupervised learning• Experience working in Agile/Lean model• Experience with Java and Golang is a plus• Experience with BI toolkit such as Tableau, Superset, Quicksight, etc is a plus• Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Dask, Tensorflow, PyTorch, Keras, GCP ML Stack• Exposure to modern Big Data tech such as Cassandra/Scylla, Kafka, Ceph, Hadoop, Spark• Exposure to IAAS platforms such as AWS, GCP, AzureTypical persona: Data Science Manager/ArchitectExperience: 8+ years programming/engineering experience (with at least last 4 years in Data science in a Product development company)Type: Hands-on candidate onlyMust:a. Hands-on Python: pandas,scikit-learnb. Working knowledge of Kafkac. Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)d. Good on analytical & debugging skillse. Strong communication skillsDesired (in order of priorities)a.Go (Strong advantage)b. Airflow (Strong advantage)c. Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databasesd. Data structures, Algorithmse. Experience with multi-threaded and thread sync conceptsf. AWS Sagemakerg. Keras
Key Responsibilities: Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line. Good understanding of the underlying business and workings of cross functional teams for successful execution Design and develop analyses based on business requirement needs and challenges. Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc. Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required. Identify and use appropriate investigative and analytical technologies to interpret and verify results. Apply and learn a wide variety of tools and languages to achieve results Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs. Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling. Innovate on projects by using new modeling techniques or tools. Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept. Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes. Skills: 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms. Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods. Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis. Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts. Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE) Experience in risk and credit scoring domains preferred