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Hadoop Engineers

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Bengaluru (Bangalore)
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4 - 7 years
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24 - 30 lacs/annum

Position Description Demonstrates up-to-date expertise in Software Engineering and applies this to the development, execution, and improvement of action plans Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity Provides and supports the implementation of business solutions Provides support to the business Troubleshoots business, production issues and on call support. Minimum Qualifications BS/MS in Computer Science or related field 5+ years’ experience building web applications Solid understanding of computer science principles Excellent Soft Skills Understanding the major algorithms like searching and sorting Strong skills in writing clean code using languages like Java and J2EE technologies. Understanding how to engineer the RESTful, Micro services and knowledge of major software patterns like MVC, Singleton, Facade, Business Delegate Deep knowledge of web technologies such as HTML5, CSS, JSON Good understanding of continuous integration tools and frameworks like Jenkins Experience in working with the Agile environments, like Scrum and Kanban. Experience in dealing with the performance tuning for very large-scale apps. Experience in writing scripting using Perl, Python and Shell scripting. Experience in writing jobs using Open source cluster computing frameworks like Spark Relational database design experience- MySQL, Oracle, SOLR, NoSQL - Cassandra, Mango DB and Hive. Aptitude for writing clean, succinct and efficient code. Attitude to thrive in a fun, fast-paced start-up like environment

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Data Scientist

Founded 2018
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Hyderabad
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We're an early stage film-tech startup with a mission to empower filmmakers and independent content creators with data-driven decision-making tools. We're looking for a data person to join the core team. Please get in touch if you would be excited to join us on this super exciting journey of disrupting the film production and distribution business. We are currently collaborating with Rana Daggubatt's Suresh Productions, and work out of their studio in Hyderabad - so exposure and opportunities to work on real issues faced by the media industry will be in plenty.

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Data Scientist

Founded 2016
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Transporter is an AI-enabled location stack that helps companies improve their commerce, engagement or operations through their mobile apps for the next generation of online commerce

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Machine Learning Engineer

Founded 2017
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Bengaluru (Bangalore)
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0 - 2 years
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4 - 5 lacs/annum

Job Description: If you have good programming skills, and want to solve complex real world problems using artificial intelligence, machine learning and computer vision while learning these on the job, READ ON. Run by IIT Kanpur alumni, AIMonk is a computer vision startup in stealth mode. We are building a uniquitous platform for computer vision using Artificial intelligence. We are looking for an entry level(0-2 years of professional experience) programmer with deep interest in software engineering. This is a machine learning engineer position but there is no machine learning experience required. What we are looking for is sharp and curious brain who gets his/her high via solving problems. Willing to work in an early stage start-up, humility and is another skill-set required. College, pedigree doesn't matter but it is a good indicator of your skill-level. People who went to NIT, BITS are encouraged to apply. However, there is a programming challenge below. If you have the skills to solve that, it doesn't matter where you went to the college or what degree do you have. Be careful, if you work with us once, ordinary jobs will not interest you any more as they won't be challenging enough. Good thing, you will learn more than what you need to land those top 0.01% interesting jobs. Job Perks: Opportunity to work with the smartest people in the country on Artificial Intelligence and computer vision. Learning, tons of it. Autonomy, respect and freedom to set your own work-hours, opportunity to fail and learn. And of course! free beer and pizza once in a while. Problem statement: https://s3-ap-southeast-1.amazonaws.com/aimonk/SDE1-problem+statement.pdf

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Machine Learning Data Engineer

Founded 2006
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NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore)
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1 - 4 years
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Machine Learning Data Engineer Engineering Gurgaon, Haryana, India Job Description Who are we? BlueOptima provides industry leading objective metrics in software development using it’s proprietary Coding Effort Analytics that enable large organisations to deliver better software, faster, and at lower cost. Founded in 2007, BlueOptima is a profitable, independent, high growth software vendor commercialising technology initially devised in seminal research carried out at Cambridge University. We are headquartered in London with offices in New York, Bangalore, and Gurgaon. BlueOptima’s technology is deployed with global enterprises driving value from their software development activities For example, we work with seven of the world’s top ten Universal Banks (by revenue), three of the world’s top ten telecommunications companies (by revenue, excl. China). Our technology is pushing the limits of complex analytics on large data-sets with more than 15 billion static source code metric observations of software engineers working in an Enterprise software development environment. BlueOptima is an Equal Opportunities employer. Whom are we looking for? BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment. We are looking for analytically minded individuals with expertise in statistical analysis, Machine Learning and Data Engineering. Who will work on real world problems, unique to the data that we have, develop new algorithms and tools to solve problems. The use of Machine Learning is a growing internal incentive and we have a large range of opportunities, to expand the value that we deliver to our clients. What does the role involve? As a Data Engineer you will be take problems and ideas from both our onsite Data Scientists, analyze what is involved, spec and build intelligent solutions using our data. You will take responsibility for the end to end process. Further to this, you are encouraged to identify new ideas, metrics and opportunities within our dataset and identify and report when an idea or approach isn’t being successful and should be stopped. You will use tools ranging from advance Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job. Finally, you will support and identify improvements to our existing algorithms and approaches. Responsibilities include: Solve problems using Machine Learning and advanced statistical techniques based on business needs. Identify opportunities to add value and solve problems using Machine Learning across the business. Develop tools to help senior managers identify actionable information based on metrics like BlueOptima Coding Effort and explain the insight they reveal to senior managers to support decision-making. Develop additional & supporting metrics for the BlueOptima product and data predominantly using R and Python and/or similar statistical tools. Producing ad hoc or bespoke analysis and reports. Coordinate with both engineers & client side data-scientists to understand requirements and opportunities to add value. Spec the requirements to solve a problem and identify the critical path and timelines and be able to give clear estimates. Resolve issues and find improvements to existing Machine Learning solution and explain their impacts. ESSENTIAL SKILLS / EXPERIENCE REQUIRED: Minimum Bachelor's degree in Computer Science/Statistics/Mathematics or equivalent. Minimum of 3+ years experience in developing solutions using Machine learning Algorithms. Strong Analytical skills demonstrated through data engineering or similar experience. Strong fundamentals in Statistical Analysis using R or a similar programming language. Experience apply Machine Learning algorithms and techniques to resolve problems on structured and unstructured data. An in depth understanding of a wide range of Machine Learning techniques, and an understanding of which algorithms are suited to which problems. A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product. Strong written and verbal communication skills Strong interpersonal and time management skills DESIRABLE SKILLS / EXPERIENCE: Experience with automating basic tasks to maximise time for more important problems. Experience with PostgreSQL or similar Rational Database. Experience with MongoDB or similar nosql database. Experience with Data Visualisation experience (via Tableau, Qlikview, SAS BI or similar) is preferable. Experience using task tracking systems e.g. Jira and distributed version control systems e.g. Git. Be comfortable explaining very technical concepts to non-expert people. Experience of project management and designing processes to deliver successful outcomes. Why work for us? Work with a unique a truly vast collection of datasets Above market remuneration Stimulating challenges that fully utilise your skills Work on real-world technical problems to which solution cannot simply be found on the internet Working alongside other passionate, talented engineers Hardware of your choice Our fast-growing company offers the potential for rapid career progression

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Data Scientist

Founded 2016
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Bengaluru (Bangalore)
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5 - 7 years
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7 - 14 lacs/annum

We are looking for passionate problem solvers to work with our talented team of analytics professionals to build algorithms and models. If you are curious and crazy about optimised solutions, then you are the one we are looking for. The right candidate: 1. Should have good understanding of Machine Learning models, to be able to optimise the current models (training/ better approach/ design new algorithm etc.) 2. Should have hands-on experience in statistical modelling 3. Must have hands-on experience working with Microsoft Azure Machine Learning

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Data Scientist

Founded 2017
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Bengaluru (Bangalore)
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1 - 4 years
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5 - 15 lacs/annum

Should be experienced in building Machine learning pipelines.   Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework

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Machine Learning Engineers

Founded 2008
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Pune
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3 - 7 years
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7 - 15 lacs/annum

We are looking for a Machine Learning Engineer with 3+ years of experience with a background in Statistics and hands-on experience in the Python ecosystem, using sound  Software Engineering practices. Skills & Knowledge: - Formal knowledge of fundamentals of probability & statistics along with the ability to apply basic statistical analysis methods like hypothesis testing, t-tests, ANOVA etc. - Hands-on knowledge of data formats, data extraction, loading, wrangling, transformation, pre-processing and analysis. - Thorough understanding of data-modeling and machine-learning concepts - Complete understanding and ability to apply, implement and adapt standard implementations of machine learning algorithms - Good understanding and ability to apply and adapt Neural Networks and Deep Learning, including common high-level Deep Learning architectures like CNNs and RNNs - Fundamentals of computer science & programming, especially Data structures (like multi-dimensional arrays, trees, and graphs) and Algorithms (like searching, sorting, and dynamic programming) - Fundamentals of software engineering and system design, such as requirements analysis, REST APIs, database queries, system and library calls, version control, etc. Languages and Libraries: - Hands-on experience with Python and Python Libraries for data analysis and machine learning, especially Scikit-learn, Tensorflow, Pandas, Numpy, Statsmodels, and Scipy. - Experience with R and its ecosystem is a plus - Knowledge of other open source machine learning and data modeling frameworks like Spark MLlib, H2O, etc. is a plus

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Data Scientist

Founded 2011
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Bengaluru (Bangalore)
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1 - 4 years
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10 - 17 lacs/annum

Company Overview: Zivame is a Women’s fashion brand company which started in 2011 as an online lingerie retailer featuring hundreds of styles for the Indian woman. We believe that we are in a very exciting junction of our journey. We have scaled up from being a start-up and now are looking at building a sustainable, fast growing and a profitable company by establishing its own lingerie and Activewear brand in the industry. Culturally, we pride ourselves in being an open, transparent company which retains its startup DNA. We encourage teams and individuals to take full ownership and drive initiatives in a fully empowered environment. We encourage experimentation and risk-taking and a constant drive to build something new which can help us deliver better outcomes to our customers. Our thesis is that every Individual should within Zivame find all means to make and drive impact. Roles & Responsibilities: • Interested in the creation of algorithms to solve for business problems like personalization, price elasticity, customer retention, LTV prediction, feedback sentiment analysis, route optimization, supply chain optimization and effectively translating them into tech-products • Excited by Zivame’s vision of creating a technology-led, highly personalized omnichannel experience for women of the world • Convert data from various sources (clickstream, feedback, sales/merchandise, customers etc.), to facilitate analysis, conduct analysis, extract Insights, formulate recommendations and build product algorithms • Enhancing data collection procedures and pipelines to include information that is relevant for building analytic systems • Data scientists are expected to drive projects independently with senior management stakeholders & also collaborate with teams to drive impact and results Preferred Qualifications: • 3 years of analytics/data sciences experience with a bachelors or master’s degree from Tier-1 Engineering colleges or 2 years of analytics/data sciences experience with MBA from Tier-1 colleges • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Understanding of machine learning techniques and algorithms, such as K-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data science tool-kits, and visualization platforms such as R, Python, Tableau, Power-BI • Strong problem-solving ability - Candidate needs to exhibit structured thinking, very strong Analytical Skills, and Process Orientation • High on energy, assertive and the ability to work under pressure and tight deadlines • Excellent written and verbal communication skills

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Data Scientist

Founded 2015
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NCR (Delhi | Gurgaon | Noida)
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1 - 4 years
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15 - 35 lacs/annum

Are you passionate about discovering insights hidden in vast amounts of data? Does your curiosity lead you to play with data to decipher an observed pattern? Do you constantly think about how machine learning, statistical modelling and optimization methodologies can help create top-notch consumer experience? If yes, Data Science team at Shuttl is a perfect fit for you. Key Deliverables :- Identifying and modeling the key drivers of consumer behavior using internal and external data.- Developing prediction models to deliver key business outcomes.- Problems include working on demand forecasting, demand driven supply planning etc.- Developing optimized transportation network design for Shuttl operations to drive strategic growth- Developing algorithms to predict static and dynamic schedule of Shuttl arrival times.- Presenting clear and actionable recommendations to Products and Engineering leadership.- Relentless pursuit of achieving business goals using the power of data Requirements :- 4+ years of experience.- Ability to crisply define the business problem and translate it into analytical/empirical problem- Experience in building ML models or statistical models in R or Python- Knowledge of underlying mathematical foundations of statistical inference/ forecasting/ Optimization- Prior experience on network optimization problems if preferred.- Proficiency in Python, CPLEX, SQL, NoSQL, Cassandra

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