Must be willing to relocate to Chandigarh/Mohali, in our state-of-the-art office in Quark City in Mohali. We're looking for a data engineer. Responsibilities include: building out infrastructure and implementing end-to-end data flows from ingest, to data transformation, machine learning for client-side applications.• Must have Java/J2EE, Spring, Micro services, Python (Hands On) • Must have integration expert Hadoop Eco Systems and ML Expert • Knowledge of Spark, Accumulo, HDFS, YARN, MapReduce, Kafka is necessary. As a data engineer, you may have experience spanning traditional DW and ETL architectures. But for this role it is important to have industry experience working with big data ecosystems like Spark/Hadoop and Redshift. You've probably been in the industry as an engineer for 2+ years and have developed a passion for the data that drives businesses. On your first day, we'll expect you to have: • Deep understanding of big data challenges and eco-system • Experience with solution building and architecting with public cloud offerings such as Amazon Web Services, Redshift, S3, EMR/Spark, Presto/Athena • Experience with Spark and Hive • Expertise in SQL, SQL tuning, schema design, Python and ETL processes • Expertise in data pipeline with such workflow tools as Airflow, Oozie or Luigi • Solid understanding experience in building RESTful APIs and microservices, e.g. with Flask • Experience in test automation and ensuring data quality across multiple datasets used for analytical purposes • Experience with Lambda Architecture or other Big Data architectural best practices • A graduate degree in Computer Science or similar discipline • Commit code to open source projects • Experience with test automation and continuous delivery It's great, but not required, if you have: • Experience with Tableau • Experience with Machine Learning • Have worked with Data Scientists
Tradeindia is looking for Machine Learning Engineers to join its engineering team. The ideal candidate will have industry experience working on a recommendation engine, a range of classification and optimization problems e.g.: Collaborative filtering/recommendation User journey prediction Search ranking Text/ sentiment classification or spam detection Predictive analytics The position will involve taking Algorithm and Programming skills and applying them to some of the most exciting and massive SMEs user data. Qualification: M.tech, B.tech, M.C.A. Location: New Delhi About the company: Launched in the year 1996 to offer the Indian Business community a platform to promote themselves globally tradeindia.com has created a niche as India's largest B2B marketplace, offering comprehensive business solutions to the Domestic and Global Business Community through its wide array of online services, directory services and facilitation of trade promotional events. Our portal is an ideal forum for buyers and sellers across the globe to interact and conduct business smoothly and effectively. With an unmatched expertize in data acquisition and online promotion, Tradeindia subsumes a huge number of company profiles and product catalogs under 2,256 different product categories and sub-categories. It is well promoted on all major search engines and receives an average of 20.5 million hits per month. Tradeindia is maintained and promoted by INFOCOM NETWORK LTD. Today we have reached a database of 47,66,674 registered users (Jan 2019), and the company is growing on a titanic scale with a considerable amount of new users joining/registering everyday, under the innovative vision and guidance of Mr. Bikky Khosla, CEO.
•Analytics, Big Data, Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms Share CV to me at
Location: Gurgaon Role: • The person will be part of data science team. This person will be working on a close basis with the business analysts and the technology team to deliver the Data Science portion of the project and product. • Data Science contribution to a project can range between 30% to 80%. • Day to Day activities will include data exploration to solve a specific problem, researching of methods to be applied as solution, setting up ML process to be applied in context of a specific engagement/ requirement, contributing to building a DS platform, coding the solution, interacting with client on explanations, integration the DS solution with the technology solution, data cleaning and structuring etc. • Nature of work will depend on stage of a specific engagement, available engagements and individual skill At least 2-6 years of experience in: • Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms o Time Series Analysis o Optimization techniques and work experience with solvers for MILP and global optimization. • Data Science o Good experience in exploratory data analysis and feature design & development o Experience of applying and evaluating ML algorithms to practical predictive modeling scenarios in various verticals including (but not limited to) FMCG, Media, E-commerce and Hospitality. • Proficient with programming in Python (must have) & PySpark (good to have). Parallel ML algorithms design and development and usage for maximal performance on multi-core, distributed and/or GPU architectures. • Must be able to write a production ready code with reusable components and integration into data science platform. • Strong inclination to write structured code as per prevailing coding standards and best practices. • Ability to design a data science architecture for repeatability of solutions • Preparedness to manage whole cycle from data preparation to algorithm design to client presentation at individual level. • Comfort in working on AWS including managing data science AWS servers • Team player and good communication and interpersonal skills • Good experience in Natural Language Processing and its applications (Good to Have)
As a Senior Consultant Analytics, you shall gather, analyze, identify and lead actionable data insights to solve real complex challenges. Your work will directly influence decisions taken to build the most successful web/mobile gaming platform with games played by millions across the world. Responsibilities Leverage complex data algorithms and numerical methods for forecasting, simulation, and predictive analysis, designed to optimize key decisions and metrics such as retention, engagement, and operations. Work with all teams in the company to understand, plan and drive data-based actionable decisions, championing the Data Science culture. Analyze consumer data to drive insight on how to target effectively, retain customers at low cost, and optimize engagement metrics. Develop a reporting process for all KPIs. Recruit, develop and coach talent. Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas for improvement. Qualifications B.tech or Bachelor degree in Data science. An MBA or advanced degree in a quantitative discipline is preferred. 3+ years in Data Science and Analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for an end-to-end product, marketing and business operations. Knowledge of advanced analytics including but not limited to Regression, GLMs, survival modeling, predictive analytics, forecasting, machine learning, decision trees etc. Past experience in at least one Statistical and analytic tools or language expertise R, Python, SAS etc.. Expertise in analysis Algorithms, Numerical Methods and Data Tactics used to drive operational excellence, user engagement and retention. Expertise in at least one visualization platforms such as Tableau, QlikView, Spotfire and Excel. Tableau skills preferred. Advanced SQL is mandatory skills. Ability to creatively solve business problems through innovative approaches. Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Highly analytical with the ability to collate, analyze and present data, and drive clear insights into decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, company divisions and partners.
- We are looking for passionate product managers who can help us build innovative and scalable solutions that would be used across industries and commodities.- You will own the roadmap of multiple products and work with various teams - sales, engineering, data science, testing.- You will prioritize the features to be built and coordinate to ensure they are built as per your high quality benchmarks and market requirements.- You will help in taking data driven decisions to help reduce ambiguity.The following experience and qualifications are useful but not mandatory :- Experience in UX design (wireframes, mockups) - Experience in software testing - Practical understanding of machine learning - Project management - MBA The following are required qualifications. - Education and practical engineering experience in software / hardware / data science - 1-4 years of work experience building technology solutions - Detail-oriented and cross-functional
Job Description – Data Scientist About Company Profile Precily is a startup headquartered in Noida, IN. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is data-analysis platform for enterprises that increase the efficiency of the workforce by providing AI-based solutions. Responsibilities & Skills Required: The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following: • Natural Language Processing (NLP), Neural Networks , Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science and analytics. • Proven experience implementing and deploying advanced AI solutions using R/Python. • Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). • Hand on in handling large amounts of structured and unstructured data. • Measure, interpret, and derive learning from results of analysis that will lead to improvements document processing. Skills Required: • Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks • Word Vectorizers • Word Embeddings ( word2vec & GloVe ) • RNN ( CNN vs RNN ) • LSTM & GRU ( LSTM vs GRU ) • Pretrained Embeddings ( Implementation in RNN ) • Unsupervised Learning • Supervised Learning • Deep Neural Networks • Framework : Keras/tensorflow • Keras Embedding Layer output Please reach out to us: firstname.lastname@example.org