Development of proposals for implementation and design of scalable big data architecture and Analytics - Participation in customer's workshops and presentation of the proposed solution - Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis - Defend proposed solution - Review and audit of existing solution, design and system architecture
Important:Credit Score is mandatory.You are expected to build deep learning models to process unstructured data like images and scanned financialdocuments and convert it into 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.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 & Machine learning
Role: Lead Data Scientist We are looking for Savvy Data Science Lead to join our growing team of data scientists and experts. You will be responsible for expanding and optimizing our data models, prediction algorithms, image and visual data analysis and financial models. You will support our software developers, data engineers on building and enhancing models. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. Objectives and responsibilities This is a leadership position and the candidate will be responsible for playing the role of leading innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. The lead is tasked with consistently identifying and monitoring key business risks and realizing the data needs of the business. The Lead Data Scientist manages the junior data science teams and oversees all activities ensuring alignment with departmental and business-wide vision and strategies. Ensuring data quality and integrity Experimenter and tinkerer, constantly evaluating and qualifying new models and techniques Education and evangelization of data sciences throughout the business by communicating the vision and use cases of advanced analytics. Manage business’ external data and analytics partners and plays a leading role in the development and design of the vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data sciences capabilities. Managing the data science talent needs through role definition, recruitment, and development of a team of data scientists that will jointly move the business’s agenda forward. Mentorship role to key data science positions, guiding them in them through the execution of their duties, and encouraging their professional growth in preparation for their occupation of his position in the future. Matching and optimizing algorithms that are fundamental to the business’s products/services identifying better matches that will ultimately improve the consumer experiences. Work closely with other Data and Analytics Teams, inclusive of data analytics, data warehousing, and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques. Responsible for playing a key analytical role where he/she will drive experimental data modeling designs within the business. Constantly run A/B tests in order to evaluate changes in the business’s product/services. Track the business’s performance against data analysis model and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement. Have a deep understanding the business’s marketplace dynamics. Take up initiative and conduct exploratory data analyses and experimental designs, which will help the business to better understand trends and behaviour within these markets and settle on the most suitable strategies to drive success and achievements of goals and targets. Qualifications At a minimum, a Master’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. A working experience of the same is also acceptable for the position. Must come with a solid understanding of machine learning The candidate for this position has to have had at least 7 years of working experience in a data science position, preferably working as a Senior Data Scientist. The candidate for this position will have to be highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Perl, Java among others. The candidate must also have a proven and successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance. A suitable candidate will also have had experience working with and influencing and possess vast experience and expertise with probability and statistics, inclusive of machine learning, experimental design, and optimization. As a bonus he will also have had experience working with Hadoop. Top notch Communication skills will also be a necessity for the Head of Data Science. The Lead Data Scientist will also have to draft various reports and presentations that will be used by senior Data and Analytics management and executives for decision making and strategy development. The candidate must also demonstrate exceptionally good skills in SQL server reporting services, analysis services, Tableau, integration services, Salesforce, or any other data visualization tools. The lead data scientist will also need to be technologically adept and especially demonstrate an understanding of database and computer software. The lead data scientist must also be highly skilled in statistical and modeling packages such as SAS, Statistica, Matlab, R, visualization and other advanced analysis tools. He will also be an expert in data management programming such as SQL, PL-SQL, and Python as well as being familiar win the workings of motion-tracking data and time-series analyses. Must have experience in deploying machine learning models on production systems. Candidates having experience in AWS SageMaker will have an advantage. Experience - 7 to 12 years in a Data Science position. Who We Are We build innovative technology everyday! Crediwatch is a ‘Data Insights-as-a-service’ company that provides lenders, businesses with actionable credit intelligence on private entities they need to improve trust and increase their lending and trading activity. Crediwatch does this with no human intervention by deploying the latest practical AI and technology tools that provide the most reliable comprehensive real time inputs. Each day at Crediwatch is about striving for transparent insights, analysis and accurate results. If this aligns with your interests and aspirations, we have interesting positions for you. You Believe-in & will align with our Business Objectives Customer Obsession - Consistently listen to customers; test, enhance and improve the customer experience.Breakthrough Simplicity - An innovative approach to make everything simpler Diving Deep -Technique used to arrive at a solution-based approach to problem solving and idea creation Drive for Results - Focus on end result of any task Encourage and Improve - Encouraging and promoting team work and focus on continuous self-development at every stage. Be Ethical and Respectful - Willingness to do the right thing – even if it is hard; courteousness and being focused on the best in others. You Will Enjoy Our start-up environment - fun, casual, informal, family & pet-friendly! Ours is a highly energized playground where brilliant minds come together to make bold, impactful decisions every day! Needless to say, we have excellent filter coffee and health drinks round the clock, lunch buffets, PS4 and Foosball breaks and a stocked kitchen. We play to win and have fun doing it! We work to engage your brain by organizing brilliant TechTalks by industry leaders and frequent high-on-energy hackathons and engage your crazy fun-side at our well-planned retreats. We are a highly eco-conscious team and we encourage and support our team’s physical & mental wellbeing. All these and a great set of people to work with - We Are Crediwatch!
The JobThe Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth. The Daily Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives. Build and lead a world-class team of ML and AI scientists and engineers. Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle. Identify data science opportunities that deliver business value. Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement. Hands on experience in Image processing for auto industry BFSI domain knowledge is a plus Provide thought leadership to enable ML/AI applications. Manage products priorities and ensure timely delivery. Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products. Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership. The Essentials 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts 4 + years of managing a team of data scientists, ML and AI researchers and engineers Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.) Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.) Experience in deploying machine learning algorithms and advanced modelling solutions Experience in developing advanced analytics and ML infrastructure and system Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience Works effectively cross functional teams to build trusted partnership Working experience in digital media and entertainment industry preferred Experience with Agile methodologies preferred
Looking for RPA Solution Architect who has experience in RPA product preferably UiPath Analyse client processes and identifies automation opportunities using RPA tool like UiPath Recommend RPA approach and strategy thatdeliver organizational benefit Explore third party tools/libraries for automation solution Assist Project Manager and guide team to ensure smooth delivery of the RPA solution. Provide continuous advice and best practices to RPA developers and Project Manager related to delivery approach and strategy Keep up to date with new features of RPA tool Good understanding of Natural Language Processing and Artificial Intelligence Exposure to Deep Learning, frameworks like Pytorch/ TensorFlow and building ChatBot Good knowledge of NLP techniques for text classification, ,sequence labelling, NER, entity linking, relation extraction. Design software systems with various Microsoft technologies and ensure compliance to all architecture requirements. Maintain the standards documents Have periodic reviews with the Architects team Participate in architectural meetings and analyse the technical requirements Candidate should possess good Presentation skills.
Role Description: The Chatbot Developer will develop software and system architecture while ensuring alignment with enterprise technology standards (e.g., solution patterns, application frameworks).Responsibilities:- Develop REST/JSON API’s Design code for high scale/availability/resiliency.- Develop responsive web apps and integrate APIs using NodeJS.- Presenting Chat efficiency reports to higher Management- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.- Developing Conversational Flows in the chatbot- Calculating Chat efficiency reports.Good to Have:- Monitors performance and quality control plans to identify performance. - Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices. - Works with management to prioritize business and information needs.- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.- Identifies, analyzes, and interprets trends or patterns in complex data sets.- Ability to manage multiple assignments.- Understanding of ChatBot Architecture.- Experience of Chatbot training
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
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/
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 - CEORaman Kishore - CTO 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/
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
Our current operations research product is deployed at some of the largest organizations in the world. This role will be responsible for re-architecting the existing solution and adding components of machine learning and intelligence to its logic. We are looking for a passionate individual who loves technology and is willing to design and create a flexible long-lasting product architecture.
Job Description The ideal candidate will have experience in the latest techniques in Artificial Intelligence, Natural Language Processing, Machine Learning (including Deep Learning approaches). Experiences in real- time collaboration is a plus. We're looking for someone with specialized knowledge and general skills. Someone who can architect new features one day and produce optimized code the next. The ideal candidate has a strong mix of education and practical experience Responsibilities - Deliver a commercially deployable platform that provides an intuitive collaboration solution targeted at enterprise customers - Use NLP and ML techniques to bring order to unstructured data - Experience in extracting signal from noise in large unstructured datasets a plus - Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems - Work alongside an excellent, cross-functional team across Engineering, Product and Design Required Skills - Experience in applying machine learning techniques, Natural Language Processing or Computer Vision - Strong analytical and problem-solving skills - Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ - Problem solver - able to work independently, and be comfortable with deadlines and milestones - Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques - Strong communication skills and an easy going attitude - Proven ability to apply, debug, and develop machine learning models for real-world applications - Previous industry work experience required Preferred Skills - Familiarity with Git, MongoDB, RabbitMQ, Spark, NLTK, TensorFlow - Functional Programming - Experience with Natural Language Processing (NLP) - Experience building applications for the enterprise customer - Previous early-stage company experience is a plus
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar DevOps and production deployment engineer that is well versed with Python, Docker & Amazon Web Services (AWS) to get our AI components into production and deployed. AI/ML experience is a plus, but not necessary. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. You will be responsible for: Building Python scripts to deploy our AI components into pipeline and production Developing logic to ensure multiple different AI components work together seamlessly Managing our daily pipeline on both on-premise servers and AWS Working closely with the AI engineering, backend and frontend teams You should have the following qualities: Deep expertise in Python including: Multiprocessing / multithreaded applications Class-based inheritance and modules DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend) Deep expertise in Docker-based virtualization including: Creating & maintaining custom Docker images Automated building and deployment CI/CD Experience with maintaining cloud applications in AWS environments Experience in deploying machine learning algorithms into production (e.g. tensorflow, keras, opencv, etc) is a plus Experience with running Nvidia GPU / CUDA-based tasks is a plus Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Required: Python, AWS, Docker, Multiprocessing / multithreaded programming, pymongo, sqlalchemy. Optional: AI, Machine Learning, Tensorflow, deploying Nvidia GPU / CUDA programs Seniority: We are looking for a mid-level engineerWork Experience: 2 years to 7 years Salary: Will be commensurate with experience. Who Should Apply: If you have the right experience, regardless of your seniority, please apply. About Sizzle Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are a billion fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at www.sizzle.gg.
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.
• Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.• Experience in selecting features, building and optimizing classifiers using machine learning techniques.• Prior experience with data visualization tools, such as D3.js, GGplot, etc..• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.• Basic understanding of the banking industry is value addDevelop, process, cleanse and enhance data collection procedures from multiple data sources.• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.• Work closely with product teams to implement algorithms with Python and/or R.• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.• Facilitate integration with enterprise applications using APIs to enrich implementations