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Machine Learning Architect - Deployments

Founded 2015
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Chennai
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5 - 10 years
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Best in industry{{renderSalaryString({min: 1000000, max: 3000000, duration: "undefined", currency: "INR", equity: false})}}

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.   Skills: - 5+ years deploying Machine Learning pipelines in large enterprise production systems. - Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.- Expert in modern software development practices; solid experience using source control management (CI/CD).- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.- Experience with public cloud platforms (Azure, AWS, GCP).- Serverless services like lambda, azure functions, and/or cloud functions.- Orchestration services like data factory, data pipeline, and/or data flow.- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.- Distributed computing services like Pyspark, EMR, Databricks.- Data storage services like cloud storage, S3, blob, S3 Glacier.- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.- Strong technical acumen around automated testing.- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)- Experience in developing and debugging in one or more of the languages Java, Python.- Ability to work in cross functional teams.- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.   Roles and Responsibilities: Deploying ML models into production, and scaling them to serve millions of customers. Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment. Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally. Provide software design and programming support to projects.    Qualifications & Experience: Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

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Data Scientist

Founded 2008
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NCR (Delhi | Gurgaon | Noida)
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3 - 6 years
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Best in industry{{renderSalaryString({min: 2000000, max: 5000000, duration: "undefined", currency: "INR", equity: false})}}

We at CarDekho create technology products used daily by millions of people. We’re seeking an experienced Data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise - As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within - all with the ultimate goal of realizing the data’s full potential. Responsibilities:- 3+ years of industrial experience in predictive modeling and analysis, predictive software development. Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications. Strong communication and data presentation skills. Experience implementing ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Random Forest, convex optimization, transfer learning. Hands-on experience on a minimum of 2 projects that involves either ML or Deep Learning(Theano OR Keras OR Tensorflow). Excellent organizational and analytical skills. Exposure to REST concepts. Expert knowledge developing and debugging in Node.js or Python. Contribute to the production solutions development, testing, and deployment Requirement:- BTech/MTech/Ph.D. in Computer Science or degree in statistics, applied mathematics, from Tier 1 Institutes 4+ years experience in data science Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience

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Big Data Developer

Founded 2005
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Remote, Bengaluru (Bangalore)
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4 - 7 years
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Best in industry{{renderSalaryString({min: 500000, max: 1800000, duration: "undefined", currency: "INR", equity: false})}}

Should have experience in Big data developmentStrong experience in Scala/SparkEnd client: SapientMode of Hiring : FTENotice should be less than 30days

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ML Engineer
ML Engineer
at Qrataat Qrata

Founded 2015
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Mumbai
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4 - 8 years
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Best in industry{{renderSalaryString({min: 2000000, max: 3000000, duration: "undefined", currency: "INR", equity: false})}}

We are building a global content marketplace that brings companies and content creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands. Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands.   Our Team   We are a 25+ member company and is scaling up rapidly in both team size and our ambition. If we were to define the kind of people and the culture we have, it would be - a) Individuals with an Extreme Sense of Passion About Work b) Individuals with Strong Customer and Creator Obsession c) Individuals with Extraordinary Hustle, Perseverance & Ambition We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring a company that can outlast its builders and create a massive impact on the lives of our employees, creators, and customers alike.   Our Investors   We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.Backed by Lightspeed Venture Partners Job Responsibilities:● Design, develop, test, deploy, maintain and improve ML models● Implement novel learning algorithms and recommendation engines● Apply Data Science concepts to solve routine problems of target users● Translates business analysis needs into well-defined machine learning problems, andselecting appropriate models and algorithms● Create an architecture, implement, maintain and monitor various data source pipelinesthat can be used across various different types of data sources● Monitor performance of the architecture and conduct optimization● Produce clean, efficient code based on specifications● Verify and deploy programs and systems● Troubleshoot, debug and upgrade existing applications● Guide junior engineers for productive contribution to the developmentThe ideal candidate must -ML and NLP Engineer● 4 or more years of experience in ML Engineering● Proven experience in NLP● Familiarity with language generative model - GPT3● Ability to write robust code in Python● Familiarity with ML frameworks and libraries● Hands on experience with AWS services like Sagemaker and Personalize● Exposure to state of the art techniques in ML and NLP● Understanding of data structures, data modeling, and software architecture● Outstanding analytical and problem-solving skills● Team player, an ability to work cooperatively with the other engineers.● Ability to make quick decisions in high-pressure environments with limited information.

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Sr Content Developer - ML/DS

Founded 2015
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via Unnati
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NCR (Delhi | Gurgaon | Noida)
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3 - 5 years
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Best in industry{{renderSalaryString({min: 1500000, max: 1800000, duration: "undefined", currency: "INR", equity: false})}}

Come join an ed-tech company that is creating a future and industry ready generation with their excellent courses.   Our client is one of the largest online education company in India. It focuses on training the students to be industry-ready and providing expert knowledge through the convenience of the internet.For software developers, learning programming languages needs to be practical. This is where the startup has helped more than 15000 students to turn theory into practical knowledge. Currently, offering 9 courses the startup has played a catalyst for thousands of students to land jobs at tech giants like Google, Amazon, Adobe, and Walmart. The startup enables students to follow a comprehensive curriculum and seek help from industry experts without facing any geological barrier.The founders of the startup are the alumnus of acclaimed institutes like IIT Delhi and Stanford University with experience of working in Amazon, Facebook, Cars24, and other top startups in India.   As a Sr. Content Developer -ML/DS, you will coordinate with other teams like the product, student experience, program, tech to design the best learning experience for students.   What you will do: Managing a team of 3-4 content developers working to create course content and projects Designing the course content curriculum based on the industry requirements and in interaction with industry experts Establishing the required guidelines and processes for the team to follow while creating the content Training, reviewing and guiding content developers on the content work that needs to be accomplished adhering to the timelines     What you need to have: BE/ B.tech/ BCA/ M.Tech/ MCA with a computer science background Excellent problem-solving and team management skills. Minimum 3 years of experience working in the data science domain/ edtech content creation Exposure to Machine learning algorithms and working on Kaggle projects is preferred Ability to do a detailed review of the course content and design project problem statements Ability to train and guide a team of content developers to manage timelines and brainstorming on course content

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Machine Learning Engineer

Founded 2017
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Mumbai
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2 - 7 years
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Best in industry{{renderSalaryString({min: 1500000, max: 2400000, duration: "undefined", currency: "INR", equity: false})}}

What will you do?------------------------Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are - * Limited resource Speaker Diarization on mono-channel recordings in noisy environment.* Speech Enhancement to improve accuracy of downstream speech analytics tasks.* Automated Speech Recognition for accent heavy audio with a noisy background.* Speech analytic tasks, which include: emotions, empathy, keyword extraction.* Text analytic tasks, which include: topic modeling, entity and intent extraction, opinion mining, text classification, and sentiment detection on multilingual data.A typical day at work-----------------------------You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production!What should you know?---------------------------------* Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms.* Experience with literature review either in academia or industry.* Proficiency in at least one programming language such as Python, C, C++, Java, etc.* Proficiency in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano.* Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational LinguisticsWhy DeepAffects?--------------------------* You’ll learn insanely fast here. * Esops and competitive compensation. * Opportunity and encouragement for publishing research at top conferences, paid trips to attend workshop and conferences where you have published. * Independent work, flexible timings and sense of ownership of your work.* Mentorship from distinguished researchers and professors.

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Machine Learning Engineer

Founded 2008
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Remote, Bengaluru (Bangalore), Chennai
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8 - 15 years
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Best in industry{{renderSalaryString({min: 1000000, max: 1800000, duration: "undefined", currency: "INR", equity: false})}}

This Opportunity will excite someone who can ideate and implement ML solutions which will transform the contract management system.   Why Join TVS Next We help our clients re-imagine, design and develop software to make this world a better place. Our missions are bold and hence we are on a constant lookout for people who are exemplary and want to build the future with us. We do not believe in hierarchy hence we have a flat organizational structure that gives our associates prodigious opportunities to grow. Adding to that, our culture is ever-evolving since we have people working from all over the country with us. Ergo, we want our people to be multifaceted."   Things you'll need   You will be working in an environment that runs mostly on Java based tech stack with a varied spectrum of front end technologies and tools which include Turbogears, Crone Jobs, RobotFramework, Docker and so on. But we are embracing Python for majority of our back-end development.   Primary SkillSet   Experience: 8+ Years   Primary Skills:   Strong Java Technical Background which includes Core Java(Multi-Threading , Collections, Concurrency, File Handling) ,J2EE(Spring IOC, Spring AIO)Java Version - JDK-8 Good knowledge in databases like Mongo, PostgreSql Should have knowledge in maven as build tool   Preferred Skills:   Good hands-on in Data Science , Machine Learning, Neural Networks and NLP- Text Processing Good to have knowledge in TensorFlow/ Keras Knowledge of Python will be added advantage   Apply to experience our culture @ work, crack our interviews and be a part of our company’s transformational journey!

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Data Scientist

Founded 2016
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Bengaluru (Bangalore)
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2 - 6 years
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Best in industry{{renderSalaryString({min: 600000, max: 2300000, duration: "undefined", currency: "INR", equity: false})}}

At Entropik Technologies, we build systems that measure and analyzes human emotions at an unprecedented scale, with accuracy, speed, and mission-critical availability. We work with some of the leading brands and agencies across the globe who utilizes our platform to improve overall customer experience, understand consumer behavior and their subconscious responses. The Data Science team at Entropik is a high profile team that is a center of innovation for the company and a major contributor to the company's core products. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table. Responsibilities: Work on challenging fundamental data science problems in affective computing Propose and develop solutions independently and work with other data scientists Drive the collection of new data and the refinement of existing data sources Continuous focus on enhancing the current models with an overall goal of improving the accuracy of different emotion touch points Prepare white papers, scientific publications and conference presentations Work closely with product and engineering teams to identify and answer important product questions Communicate findings to product managers and engineer Analyze and interpret the results Develop best practices for instrumentation and experimentation and communicate those to product engineering teams Requirements: Masters or Ph.D. in a relevant technical (deep learning, machine learning, computer science, physics, mathematics, statistics, or related field), or 4+ years' experience in a relevant role Extensive experience solving analytical problems using quantitative approaches using machine learning methods Should be experienced in Computer Vision and Visual Feature Extraction. Experienced with Deep Learning Libraries like Tensorflow, Pytorch and architectures like CNN, RCNN. Track record of using advanced statistical methods, information retrieval, data mining techniques Comfort manipulating and analyzing complex, high-volume, high-dimensional data from varying sources A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Fluency with at least one scripting language such as Python Experience with at least some of the following machine learning libraries: scikit-learn, H2O, SparkML, etc Experience with practical data science: source control workflows, deploying machine learning models in production, real-time machine learning.

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Assistant Manager - Analytics - Product Team

Founded 2006
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Chennai
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5 - 8 years
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Best in industry{{renderSalaryString({min: 500000, max: 800000, duration: "undefined", currency: "INR", equity: false})}}

Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.

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Data Scientist

Founded 2015
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antananarivo
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3 - 7 years
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Best in industry{{renderSalaryString({min: 85000000, max: 90000000, duration: "undefined", currency: "INR", equity: false})}}

Telesourcia is a company who want to be a leader in the Big data , all around The Data (machine learning,data Analytics ,Data science etc.. at Madagascar , and we invite you to be part of this adventure

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