Position : R & D - Senior EngineerReportsTo : Chief ArchitectExperience : 4+ YearsEducation : BE/ME/MSJob Summary :- We are seeking a highly-skilled, experienced Java developer to join our R & D team. In this role, you will help experiment various Proof of concept's by employing a lot of new and bleeding edge technologies. Compare with other similar technologies and draw merits and demerits. - Demonstrate MVP with small use cases, once reviewed and approved, design and develop a first cut solution that is scalable, relevant, and critical to our company's success and hand over to engineering team to take it forward and guide them to make it full-fledged product/service/solution. - You will focus on Java/ Java EE / Python development throughout and must have a solid skill set, problem solving ability, analytical thinking and a desire to continue to grow as a developer, and a team-player mentality. POC involves experimenting with bleeding edge technologies across languages like Java and Python. Duties and Responsibilities :- Provide solution's in terms of new technology/tool/service for current technology bottlenecks of the product(s)- Work on Proof of concepts for product / business requirements by employing latest technologies to understand it's fitment in product's in technology stack and evaluate its merits and demerits.- Gather requirements from internal and external stakeholders- Participate in the design and implementation of essential applications- Demonstrate expertise and add valuable input throughout the POC/development lifecycle- Help design and implement scalable, lasting technology solutions- Review current systems, suggesting updates as needed- Test and debug new applications and updates- Resolve reported issues and reply to queries in a timely manner- Develop and utilize technical change documentation- Strive to deploy all products and updates on time- Help improve code quality by implementing recommended best practices- Remain up to date on all current best practices, trends, and industry developments- Maintain a high standard of work quality and encourage others to do the same- Help junior team members grow and develop their skills- Identify potential challenges and bottlenecks to address them proactivelyRequirements and Qualifications :- BS/MS/MTech in computer science or related field required- Minimum 4 years of experience in reputed Software firm- Strong knowledge on computer science fundamentals like Algorithms and Data structures- Strong problem thinking and analytical thinking capability- Strong working knowledge of Java and J2EE technologies- Significant experience working with SQL - Significant experience working with NoSQL like mongo/dynamo/memsql/graph DB- Significant experience working with Elastic Cache- Significant experience working with Distributed Architecture- Knowledge or working experience in Python- Significant experience working with Web Services, REST Frameworks- Experience with AWS (S3, Lambda, Kinesis, SQS) highly desired- Experience with frameworks like Spring, Hadoop, Spark, Kafka a plus- Experience with Machine Learning, NLP a plus- Familiarity with Elasticsearch- Familiarity with Java web application servers like Tomcat, Weblogic, Jboss- Familiarity with micro services and/or Spring Boot- Familiarity with HTML, CSS, Java script- Having hobby projects is a plusManthan Profile :Manthan is the Chief Analytics Officer for consumer industries worldwide. Manthan's portfolio of analytics-enabled business applications, advanced analytics platforms and solutions are architected to help users across industries walk the complete data-to-result path - analyze, take guided decisions and execute these decisions real-time. Sophisticated, yet intuitive analytical capability coupled with the power of big data, mobility and cloud computing, brings users business-ready applications that provide on-demand access and real-time execution - the only path to profit in a contemporary, on-demand and connected economy. Manthan serves over 200 leading organizations across 23 countries. With the recent introduction of Maya, the world's first AI powered conversational agent for business analytics, Manthan is pioneering the move to zero touch UIs and transforming user interactions with complex analytics applications. Manthan is one of the most awarded analytics innovators among analysts and customers alike. To learn how businesses can gain from analytics, please visit https://www.manthan.com
Key Responsibilities: • Develop new machine learning, deep learning (RNN or LSTM based) & ontology-based modeling algorithms to take up unsolved industry challenges • Lead and mentor a small team of data scientists in applying existing learning algorithms and develop new ones • Work on developing algorithms for multi-lingual support. • Cross-functional collaboration between data science and engineering teams to support the integration of finished algorithms and prototypes into products • Create an intellectual property for Innoplexus and write patent disclosures for them • Support sales and business development teams to fine-tune client requirements, perform feasibility testing and proposing an approach for solutions • Demonstrate thought leadership by participating in national & international conferences represent Innoplexus and publishing blogs, white papers etc. Required experience • More than 3 years of relevant experience in the industry • At least 1-year experience of leading a team • Strong, demonstrable experience developing new deep learning models (NLP, Neural Machine Translation, Speech Recognition) and machine learning over unstructured data • Hands on experience of deploying Machine Learning or Deep Learning based solutions in production with large datasets • Strong understanding of Python and Machine Learning libraries (NumPy, SciPy, sklearn, TensorFlow, PyTorch, Keras) • Good writing skills demonstrated by patents, publications, blogs or personal pages • Experience in the domain of life sciences or financial services is a plus.
Job Type : Full TimeJob Location : HSR Layout, BangaloreWebsite : http://www.cyware.comLinkedIn : https://www.linkedin.com/company/cyware/Media : https://cyware.com/press-and-media Who We Are?Cyware is aimed at revolutionizing the cybersecurity industry by developing innovative cybersecurity products and solutions. Cyware's mission is to empower organizations to adopt a proactive approach towards cybersecurity through strategic and tactical threat intelligence sharing, and cyber fusion analysis. Cyware Labs is a product-based cybersecurity provider headquartered at New York, USA. Our pioneering solutions enable organizations to develop proactive cyber defense capabilities, effectively exchange strategic, tactical, and operational threat intelligence, and quickly respond to and manage security threats in real-time. Our mission is to revolutionize and simplify the security fabric to give truly integrated and intuitive solutions that provide a broad array of intel sharing, analytical and threat response functions across various platforms and mobile devices. Our unique products combine core facets of next-generation Security Operations Center (SOC) such as situational awareness, information sharing, cyber threat intelligence exchange, data fusion and threat response to give our clients needed visibility and control, and advanced defensive capabilities, with exceptional performance while helping them in transitioning to a truly next-gen SOC. Cyware solutions leverage advanced breakthroughs in machine learning, artificial intelligence and blockchain technologies to constantly challenge the security status quo and catalyze a growing ecosystem of empowered enterprises against the evolving threat landscape. Our clients include Fortune 500 financial, healthcare and defense organizations, multinational retail corporations, trade associations, industry groups (including ISACs and ISAOs), non-profits and government agencies.Why Cyware?At Cyware, we tackle cyber threats by bringing together the smartest Security Analysts, Technology Experts, and Data Scientists - all under one roof. We work relentlessly towards creating unique solutions and products to provide the most effective cyber defense solutions for our clients. We admire the risk takers who are willing to go beyond traditional barriers and challenge the status quo for the greater good of society.Cyware Labs is looking for sharp, intelligent, innovative and hardworking people having an experience of minimum 1 year as Devops Engineer in enterprise/software product industry. Primary Responsibilities :- Work closely with development teams to integrate their projects into the production AWS environment and ensure their ongoing support once there.- Gain a deep application-level knowledge of the systems as well as contributing to their overall design.- Be a DevOps champion - work closely with other internal teams to build security, reliability, and scalability into the development life-cycle.- Dive deep into the software stack to troubleshoot as needed.- Build engineering automation and productivity tools to streamline and scale applications in the production environment.- Troubleshoot and resolve issues related to application development, deployment and operations.- Build from the ground up reliable infrastructure services in AWS to deliver highly scalable services.- Work with a team of peers who are smart, professional, pull their own weight, and share a passion for what they are creating.Skills and Qualifications :- Hands on experience on cloud services like AWS, Google cloud, azure, etc.- Basic knowledge of Python/Django.- Experience with tools like chef, puppet, ansible, etc.- Experience with different queuing system like rabbitmq, kafka, sqs, etc.- Ability to create infra services for both cloud as well as on premise deployment- Basic knowledge of networking concepts like subnets, etc.- Experience with containers and orchestration tools like kubernetes.- Experience working in a startup- Exposure to Linux, EC2 Security, EC2 Balances, Automation Tools, AWS CLI,S3, Cloud Watch & Cloud Trail, SSH,Docker, Git, MLAB, Jenkins, Circle CI, Nagios, Jmeter & Blazemeter is must.- Knowledge on Mongo DB, Python/Django, data structure and algorithms would be added advantage.Benefits of working at Cyware?We are a small but highly dedicated and motivated team that has created a powerful impact in the domain of cyber security in a short period of time. Join us and you will have:A chance to learn in a highly competitive environment.An opportunity to prove your mettle and enjoy a unique growth trajectory.Freedom to innovate and flexibility to operate.A Team that will support and help you to explore your true potential.An awesome atmosphere to work in Let's get in touch soon ! Do share your resume to firstname.lastname@example.org
Recruitment has been a weird problem. While companies complain they can't get good talent, there are hordes of talented professionals who are unable to easily find their next big opportunity. At CutShort, we are building an intelligent and tech-enabled platform that removes noise and connects these two sides seamlessly. More than 4000 companies have used our platform to hire 3x more people in 1/3rd the time and professionals get a great experience that just works. As we take CutShort in the next growth phase, we want to make it more intelligent. A big initiative is to use our data to simplify UX, reduce user errors and generate better results for our users. We should talk if: 1. You have at least 1 year of full-time experience in using M/L on real data to get real results. 2. Beyond the tools, you have a sound understanding of the underlying mathematical models. 3. You want to work in a fast growing startup where you can complete ownership and minimal supervision. 4. You want to see your work actually making an impact on our user's life. Interested? Let's talk!
About UpGrad : 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 Analytics, Product Management, Digital Marketing, and Entrepreneurship, and was rated as one of the top 10 most innovative companies in India for 2017 - https://www.fastcompany.com/most-innovative-companies/2017/sectors/india . We plan to launch 6 more programs in technology and management education. UpGrad is co-founded by 3 IITD alumni, and the 4th co-founder is serial entrepreneur Ronnie Screwvala. UpGrad has a committed capital of 100Cr and in the first year of operations, has built the largest revenue generating online program in India (PG Diploma in Data Analytics) and the largest enrolment online program in India (Startup India learning program). 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. Position : Senior Data Scientist Position Type : Full Time Location : Mumbai Job Description: 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 our marketing 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 career outcomes. 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. Basic Qualifications: 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 Preferred Qualifications: 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 techniques
Cartisan is a start-up building AI-based software products for automotive & EV companies to better engage with their customers and enhance overall experience of owning / using a car. For building SAAS software supporting cloud, mobile and in-car apps with Machine Learning and AI capabilities, we are hiring experienced Machine Learning Engineers at our Bangalore office What’s on offer – Opportunity to lead development of a global tech product, competitive pay and stock options Requirements: 1)Experience in Deep learning using Convolutional Neural Networks 2)Sound knowledge of Object detection,Semantic segmentation,Instance segmentation(Faster-RCNN,Single shot multibox detector(SSD),Mask RCNN,Mobile-net) 3)Classic Image processing techniques using OpenCV 4)Proficiency in Python 5)Should be comfortable building ML models on various deep learning and machine learning libraries using tensorflow,keras,scikit-learn,Numpy,etc 6)Familiarity with Amazon Web service( Elastic Cloud Compute(EC2),Amazon Sagemaker)
Lead a Team of AI/ML enthusiasts who have - Strong grasp on Python and basic understanding of matrix algebra - Understanding of modern deep learning techniques like CNN, Attention, LSTM, etc - Experience with TensorFlow and Keras - Experience with Computer Vision and domain specific tools like opencv -Build a Team of AI Technologists
Are you a fun loving and passionate to be a part of Global Innovator team? Are you planning to grow your career, which enhance your skills in Machine learning? A career at SmartDocs can open many doors for you in the world of technology. If you are looking for a company that is dedicated to your ideas, passion, recognizes you for your unique competency & contributions and provides a fun, flexible and delightful work atmosphere? Then, we are the aright place to start your career. We are totally committed about our employees, our Clients & Customers, our work culture and especially our technology. We are an organization who encourages new ideas of employees through collaboration, creativity & Passion. We are seeking for a dedicated individual to join SmartDocs Business Solutions. An ideal candidate must possess excellent business skills with outstanding communication, professionalism & leadership and must have the Zeal to learn new things. We are looking for candidates who wants to ignite their passion in Python & Machine learning / Artificial Intelligence to join our product development team. Desirable Skills & Expertise: PhD / Doctorate, Master’s or Bachelor's degree in Engineering (CSE / IT / MCA / Software / AI) are preferred. Must have good knowledge in Python & Machine learning / AI (Mandatory). Good understanding in SDLC. Knowledge in Enterprise applications or Enterprise product development is added advantage. Ability to act independently, take initiative and drive tasks and issues to resolution. Possesses intellectual humility; smart, driven, creative and able to learn things from slipups, willing to raise others up. Excellent Communication & Analytical skills with integrated professionalism at all levels. Key Responsibilities: The role is responsible for writing & testing the scalable code, debugging the programs and integrating the applications with third-party web services. Day to day, you will develop various components which is a part of Data Analysis platform. Ultimately, you’ll develop products which build the future. Deep expertise and good understanding in SDLC. Develop components which improves the performance of the product. Develop and maintain strong product knowledge. Guide the clients through various stages of the project and transition to support organization. Review existing business processes and participate in the Process Improvement Program. SmartDocs, provides equal employment opportunity to all its employees and all qualified applicants for employment without regard to their race, caste, religion, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin or disability. Our resource policies shall promote diversity and equality in the workplace while encouraging the adoption of international best practices.
LeanAgri is looking for a Research Scientist to solve some of the most challenging problems in the field of Agriculture. Our mission and vision is to revolutionize Agriculture in India using technology. Our customers, farmers, constitute of 50% of the Indian workforce accounting for just 13.7% of the GDP. We aim to bring them technology to revolutionize Agriculture in India. LeanAgri has expertise in creating solutions for Agriculture which are capable of increasing agriculture yields and farmer incomes. We are working on building models for unsolved problems that affect millions of farmers across the world. We want to devise innovative solutions for these problems and employ them to help our customers. Your role You will be working at a chief scientist role where you would be creating enhanced technology for solving problems in Agriculture. The role encompasses designing and executing experiments in Agriculture with help of our sophisticated research farms, and use the generated data to create models which can be employed in the real world. Since your role will require you to closely work with Agriculture systems, you would need to do a lot of research of farming patterns, and effect of biotic and abiotic parameters in Agriculture. The final aim would be to build mathematical models based on all the experiments which can help provide real value to our customers. Does this interest you? If yes, then let’s get you onboard. Requirements Passion about working with interdisciplinary problems, you are not a machine learning or an Agri engineer, you will be a Scientist who would be trying to solve problems in every way possible. Ability to learn and explore, you will be reading hundreds of research papers on Agriculture and Machine learning and trying to build models encompassing both. Can dive deep to create solutions for hard problems. We would be doing innovation unheard of, so expect big challenges. Good mathematical modelling capabilities, and experience with writing some code. We would be giving you problem statements related to Machine learning to see how you analyse and work around to create solutions to those problems.
It is my pleasure to introduce you to IDEAS2IT Technologies, Chennai. If you are looking for a challenging position as a BigData engineer solving complex business problems by applying the latest in Data Science, Machine Learning and AI read on. Ideas2IT is a high-end product engineering firm that rolls out its own products and also helps Silicon Valley firms with their product engineering. We are looking for above average programmers to be part of our Data Science Lab. You will be working on projects like An AI platform built using Google TensorFlow for a predictive hiring product. Betting odds platform that to match odds offered to leverage spreads PPO platform for predictive pricing and promotions for enterprise eCommerce. Part of your tool set will be Google TensorFlow, Python ML frameworks, Apache Spark, R, Google BigQuery, Scala / Octave, Kafka and so on. If you have any relevant experience great! If not, it doesn't matter. We believe in hiring people with high IQ and the right attitude over ready-made skills. As long as you are passionate about building world class enterprise products and understand whatever technology that you are working on in-depth, we will bring you up to speed on all the technologies we use. Oh BTW, did we mention that you need to be super smart? Sounds interesting? Ideas2IT is a high-end product firm. Started by an ex-Googler, Murali Vivekanandan, we count Siemens, Motorola, eBay, Microsoft and Zynga among our clients. We solve some very interesting problems in the USA startup ecosystem and have created great products in the process. When we build, we build great! We actively contribute to open source projects. We've built our own frameworks. We're betting the house on Big Data, and with a Stanford grad leading the team, we're sure to win. We have rolled 2 of our products as separate companies last year and raised institutional funds - Pipecandy, Idearx.
3 or more years of experience in Python programming Good understanding of Object-oriented programming concept. Should have working knowledge with flask and MongoDB. At least 2 - 3years experience in Machine learning and NLP Proficient with machine learning and deep learning libraries like Pandas, Numpy, Scikit learn, Tensorflow, and Keras, Expertise into deep learning- neural networks would add advantages Proficient with Any Natural language processing library like NLTK or Spacy Hands-on technical experience of Artificial intelligence using open source programming languages and analytics software. Experience using data science techniques such as web scraping, text mining, natural language processing, machine learning, statistical modeling or image recognition Data visualization skills, e.g. in Tableau or QlikView would add an advantage.
We are looking for backend developers to architect, develop and maintain complete backend of our web & mobile based products at Codoc Technologies. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. The role will contribute in the following ways: * Write the backend of the app from scratch.* Increase performance & user experience of backend systems, while adding new capabilities.* Add new layers to the backend using rules & learning-based algorithms. * Strengthen and scale our analytics & reporting engines. Job Responsibilities: - Backend software development - Optimise design & code for performance & scalability - Write reusable & maintainable code - Work closely with founders & rest of the tech team - Respond quickly to customer service issues - Hands-on with deployment & AWS - Be available for live issues and contribute to maintaining application uptime Candidate Technical Attributes: - 2+ years of technical experience, preferably with a startup.- Proficient in Python or any modern backend stack - Experience with Django or Flask- Comfort level with few technologies of a modern stack such as MongoDB, Redis, npm, AWS, etc - Strength in logical programming - Machine Learning algorithms experience is a plusCandidate General Attributes: - Passion for technology - Eager to learn - Hunger to make a difference - Ability to get things done
You will be responsible for full-stack, client-side and server-side development of new and existing products using Python. This will involve working in a team to develop software and unit tests, following an agile methodology. Primary responsibilities: - Integrating existing software and developing new software solutions; - Creating APIs and test plans; - Ensuring product quality through unit testing, system testing, and continuous integration; - Investigating new technologies and continually updating technical knowledge and skills; Technical Skills Required: - Deep understanding of Python(Client and Server); - Full understanding of APIs - creation, and maintenance; - Proven experience building a non-trivial client-side or server-side application in Python; - Experience with unit testing; - Understanding fundamental design principles behind a scalable application; - Proficient understanding of code versioning tools, such as Git.
Preferred - Immediate candidate What do we expect from candidate 1) Candidate should have over 4 years of experience in software development, data management, visualization and data science 2) Should posses minimum 2 years of experience of data analytics model development and deployment 3) Strong interest in Mathematics/Statistics 4) Experience in BFSI will be preferred 5) Natural passion towards numbers, coding, data manipulation & visualization Necessary skill set: 1) Good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc. 2) Ability to choose the right model for the data and translate that into code in R, Python, (Proven capabilities in R / Python language) 3) Should have handled large datasets and good understanding of SQL
We are looking for smart summer interns in the field of server engineering, data science and machine learning. Requirement: In your chosen internship area, show us your projects and describe the hardest problems you faced and how you solved them. Internship duration: 2-3 months Type: Full time (in office). Remote not available. Stipend: 15K/month Location: Pune PPO: We would love to offer full time roles to outstanding performers
3 or more years of experience in Python programming Good understanding of Object oriented programming concept. Should have working knowledge with flask and mongodb. At least 2 - 3years experience in Machine learning and NLP Proficient with machine learning and deep learning libraries like Pandas,Numpy,Scikit learn,Tensorflow, and Keras, Expertise into deep learning- neural networks would add advantages Proficient with Any Natural language processing library like NLTK or Spacy Hands-on technical experience of Artificial intelligence using open source programming languages and analytics software. Experience using data science techniques such as web scraping, text mining, natural language processing, machine learning, statistical modelling or image recognition Data visualisation skills, e.g. in Tableau or qlikview would add advantage.
Analytical Skills: Have to work with large amounts of data. You will need to see through the data and analyze it to find conclusions. Need maths skills to estimate numerical data. Communication Skills: You will need to write and speak clearly, easily communicating complex ideas. Critical Thinking: Must look at the numbers, trends, and data and come to new conclusions based on the findings. Attention to Detail: So be vigilant in the analysis to come to correct conclusions. Programming Skills: Should know python programming, R, Mysql, and Hadoop. Deep learning Skills: Should have worked on machine learning & deep learning.
The Computer Vision engineer will be required to build algorithms based on our existing product portfolio and develop cutting-edge solutions for the emerging requirements of our key markets. The candidate will have the opportunity to interact and collaborate with our team of global Computer Vision experts in developing cutting-edge solutions to meet the dynamic nature of requirements for our customers. Key Responsibilities: a. Designing and implementing efficient computer vision algorithms for recognizing, tracking Human subjects within a controlled environment b. Architecting algorithms to work onboard our hardware systems as well as in the cloud where appropriate. c. Work together with our software development team to develop a scalable software solution Required Experience a. Minimum of 2-4 years of Relevant experience. b. MS, or PhD in Computer Science, Applied Mathematics, or a related field. c. Strong knowledge of the state-of-the-art in computer vision and machine learning algorithms with a solid understanding of OpenCV d. Experience working with point cloud processing and Point Cloud Library (PCL) e. Experience in optimization for computer vision (E.g. Semantic segmentation, depth reconstruction, scene flow) f. Ability to write efficient and maintainable code g. Solid understanding of C++ and/or Python, preferably in a Linux environment h. Possess practical experience in TensorFlow, Caffe. Desired Experience a. Prior experience in working with depth sensors and 3D Reconstruction using computer vision, image processing techniques b. Familiarity with the State-of-the-art in Computer vision and Deep Learning techniques
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
Job Requirement Installation, configuration and administration of Big Data components (including Hadoop/Spark) for batch and real-time analytics and data hubs Capable of processing large sets of structured, semi-structured and unstructured data Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review. Familiar with data architecture for designing data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing Optional - Visual communicator ability to convert and present data in an easy comprehensible visualization using tools like D3.js, Tableau To enjoy being challenged, solve complex problems on a daily basis Proficient in executing efficient and robust ETL workflows To be able to work in teams and collaborate with others to clarify requirements To be able to tune Hadoop solutions to improve performance and end-user experience To have strong co-ordination and project management skills to handle complex projects Engineering background
- Strong grasp on Python and basic understanding of matrix algebra - Understanding of modern deep learning techniques like CNN, Attention, LSTM, etc - Experience with TensorFlow and Keras - Experience with Computer Vision and domain specific tools like opencv
We are looking for a passionate software developer who will be responsible for designing, developing, implementing, deploying working applications from bare ideas. He/she will be working on cloud based software for next generation IoT products. Responsibilities Include: - Working from Mumbai closely with the team based in US - Active involvement in designing software architecture, communication protocols & database schema - Documentation, testing, deployment & maintenance - Address and improve any technical issues
Job Summary DataToBiz is an AI and Data Analytics Services startup. We are a team of young and dynamic professionals looking for an exceptional data scientist to join our team in Chandigarh. We are trying to solve some very exciting business challenges by applying cutting-edge Machine Learning and Deep Learning Technology. Being a consulting and services startup we are looking for quick learners who can work in a cross-functional team of Consultants, SMEs from various domains, UX architects, and Application development experts, to deliver compelling solutions through the application of Data Science and Machine Learning. The desired candidate will have a passion for finding patterns in large datasets, an ability to quickly understand the underlying domain and expertise to apply Machine Learning tools and techniques to create insights from the data. Responsibilities and Duties As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning. One of the primary responsibilities will be to understand the business need and translate it into an actionable analytical plan in consultation with the team. Ensure that the analytical plan aligns with the customer’s overall strategic need. Understand and identify appropriate data sources required for solving the business problem at hand. Explore, diagnose and resolve any data discrepancies – including but not limited to any ETL that may be required, missing value and extreme value/outlier treatment using appropriate methods. Execute project plan to meet requirements and timelines. Identify success metrics and monitor them to ensure high-quality output for the client. Deliver production-ready models that can be deployed in the production system. Create relevant output documents, as required – power point deck/ excel files, data frames etc. Overall project management - Creating a project plan and timelines for the project and obtain sign-off. Monitor project progress in conjunction with the project plan – report risks, scope creep etc. in a timely manner. Identify and evangelize new and upcoming analytical trends in the market within the organization. Implementing the applications of these algorithms/methods/techniques in R/Python Required Experience, Skills and Qualifications 3+ years experience working Data Mining and Statistical Modeling for predictive and prescriptive enterprise analytics. 2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK. Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language. Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS. Strong foundation in Algorithms and Data Science theory. Strong verbal and written communication skills with other developers and business client Knowledge of Telecom and/or FinTech Domain is a plus.
About us: GreyAtom is a Mumbai-based Ed-tech company, specializing in upskilling tech professionals through harnessing the power of data science. We are a turnkey solution to upgrading your skill set and career prospects. Data Science team at GreyAtom is going forward with mission of building systemic intelligence across GreyAtom product and ecosystem. We are looking forward to team player who understands Software Engineering, Data Science and has good grasp on business. Some Of The Problems We Are Focusing On Currently Are What is learner’s competency across various modules? How does a learner compare against other people in ecosystem ? Does my learning behaviour match that of people who got jobs in Data Science? Attrition Alert for the Student Personalization of learning path for each student Factors that predict learner’s success or drop out risk Mapping the Skill & Competency matrix for each learner At GreyAtom, Data scientists are embedded with the engineering and product team for the problem they are working on. This ensures that the data science solutions are envisioned along with product delivery. We have a very flat structure within the Data Science team, which enables us to focus on excellence and create a deep sense of ownership. Also being a young team we are able to democratize the process of problem selection. Our techniques span classification, clustering, matrix factorization, graphical models, networks and graph algorithms, topic modeling, image processing, deep learning and NLP, each one of them being exercised at a fairly large scale. If you want to challenge the state of the art and want to impact the wide open landscape in India, GreyAtom Data Science team is the place for you. A passionate data scientist who has experience in executing and evangelizing the Machine Learning or AI technologies in solving business problems resulting in uncompromised user experience cost savings and eliciting business insights buried in big data. Your Impact towards CA In this role, you'll help support GreyAtom charter to build Dataware by: Communicating with scientists as well as engineers. Bringing about significant innovation and solving complex problems in projects based on analytics May have indirect reports and manage a small project team. Mentoring, training, developing and serving as a knowledge resource for less experienced Software Engineers and Data professionals. Work and collaborate with the Product team to build Data Science into Commit.Live Conceptualise, design and deliver high-quality solutions and insightful analysis Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; Skills Required: Typically, 3 or more years of experience executing on projects as a lead and analytic computing experience. Mathematical skills including Statistics fundamentals, Statistical Modelling, Regression analysis, Time Series, Decision Trees, Correlation (Clustering, Association rules, K-Nearest Neighbours) Analytical skills include Data Analytics, Data Modelling, Machine Learning, Text Mining, Optimization Simulation skills (Genetic Algorithms, Monte Carlo Simulations, Linear Programming, Quadratic Programming etc) Data-Driven Problem Solving and Data Munging Papers published in journals in ML/AI area will have added advantage Hands-on experience of Python Understanding and manipulation of unstructured data Has experience with one or more cloud or devops services like AWS, Docker etc. Good business acumen of any vertical, preferably Edtech/ Learning Analytics vertical
About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.
About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.
• Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them. • Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
JOB DESCRIPTION We're looking for Head, Machine learning (3+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this is a head team member role and carries significant equity with it. We need someone who can lead the Machine learning function with both vision and hands-on work and is excited to use this area to develop B2B products for enterprise productivity. RESPONSIBILITIES • Collaborate with cross-functional team members to develop software libraries, tools, and methodologies as critical components of our computation platforms. • Also responsible for software profiling, performance tuning and analysis, and other general software engineering tasks. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. REQUIREMENTS • Proficient in Python with sound knowledge in the machine learning libraries namely Scikit-learn, Numpy, Pandas, NLTK etc. • Experience with Deep Learning tools like TensorFlow, Keras, PyTorch etc and integrating using open source learning platforms is required. • Prior experience in building a fully functional Machine Learning Algorithm in the text analysis and multi-class classification with promising results. • Expert data scientist with professionalism in text classification, text analytics, regression and other machine learning algorithms. • Solid grasp of mathematical principles behind machine learning algorithms. • Proficient in using version control tools (Git, Mercurial etc). • Prior experience of using big data technologies like Hadoop, Spark etc. • Semantic Web experience is a big plus. • Should be from tier 1 colleges (IIT’s / NIT’s and BITS).
Description Must have Direct Hands- on, 4 years of experience, building complex Data Science solutions Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling, using Python / R Experience should include the following, File I/ O, Data Harmonization, Data Exploration Machine Learning Techniques (Supervised, Unsupervised) Multi- Dimensional Array Processing Deep Learning NLP, Image Processing Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have excellent written and verbal communication skills Should be a team player with open mind
Description Does solving complex business problems and real world challenges interest you Do you enjoy seeing the impact your contributions make on a daily basis Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more Are you ready to work with smart colleagues who drive for excellence in everything they do If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey. Position: Data Scientist (2255) Location: Hinjewadi Phase 1, Pune Type: Permanent Full time Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client s business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/ or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses. Requirements: Candidates should demonstrate following expertize- Must have Direct Hands-on, 7 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS) Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling Experience should include the following, o File I/ O, Data Harmonization, Data Exploration o Multi-Dimensional Array Processing o Simulation & Optimization Techinques o Machine Learning Techniques (Supervised, Unsupervised) o Artificial Intelligence and Deep Learning o Natural Language Processing o Model Ensembling Techniques o Documenting Reproducible Research o Building Interactive Applications to demonstrate Data Science Use Cases Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus. Exposure to SPARK is desirable Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have experience of managing multiple simultaneous projects Should have played a team lead role Should have excellent written and verbal communication skills Should be a team player with open mind Impact on the business: Plays an important role in making Saama s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges. Key relationships: Sales & pre-sales Product management Engineering Client organization: account management & delivery Saama Competencies: INTEGRITY: we do the right things. INNOVATION: we change the game. TRANSPARENCY: we communicate openly COLLABORATION: we work as one team PROBLEM-SOLVING: we solve core, complex business challenges ENJOY & CELEBRATE: we have fun Competencies: Self-starter who gets results with minimal support and direction in a fast-paced environment. Takes initiative; challenges the status quo to drive change. Learns quickly; takes smart risks to experiment and learn. Works well with others; builds trust and maintains credibility. Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies. Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication. Stays the course despite challenges & setbacks. Works well under pressure. Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems
Requirements: Minimum 4-years work experience in building, managing and maintaining Analytics applications B.Tech/BE in CS/IT from Tier 1/2 Institutes Strong Fundamentals of Data Structures and Algorithms Good analytical & problem-solving skills Strong hands-on experience in Python In depth Knowledge of queueing systems (Kafka/ActiveMQ/RabbitMQ) Experience in building Data pipelines & Real time Analytics Systems Experience in SQL (MYSQL) & NoSQL (Mongo/Cassandra) databases is a plus Understanding of Service Oriented Architecture Delivered high-quality work with a significant contribution Expert in git, unit tests, technical documentation and other development best practices Experience in Handling small teams
We are looking for a Machine Learning Developer who possesses apassion for machine technology & big data and will work with nextgeneration Universal IoT platform.Responsibilities:•Design and build machine that learns , predict and analyze data.•Build and enhance tools to mine data at scale• Enable the integration of Machine Learning models in Chariot IoTPlatform•Ensure the scalability of Machine Learning analytics across millionsof networked sensors•Work with other engineering teams to integrate our streaming,batch, or ad-hoc analysis algorithms into Chariot IoT's suite ofapplications•Develop generalizable APIs so other engineers can use our workwithout needing to be a machine learning expert
We are TheMathCompany. Our mission is to build and enhance analytical capabilities for Fortune-500 organizations across the world. We are a startup, one year into the journey of fulfilling our mission and we have managed to do so in a sustainable manner. We are not keen on splurging or focus solely on marketing, but we are energetic and passionate about the work we do. We are building and enhancing analytics capabilities for Fortune-500 organizations across the globe spanning various industries, while also bringing together this ecosystem through our platforms. One thing we can assure you is there won’t be a boring day and you will have a peer group with the passion for analytics and everything that it entails. An Associate of TheMathCompany is part of the team that makes it all possible on the ground. As an associate, you will be responsible for a wide range of things [just to ensure you don’t get bored and always keep learning :)] We have listed a few of them below to help you get an idea- Solving complicated business problems for organizations, leveraging conventional & new age data sources and a wide array of techniques- Liaising with the clients and stakeholders to understand their requirements, challenges etc. and keeping them up to date on the progress of our proposed solution- Staying connected to the Analytics industry trends- data, techniques, technology etc. and leveraging them to develop learning packages - Contributing to the hiring and learning programs- through interviews, sessions, content creations etc. based on the nature of the engagements- Building TheMathCompany. As a Startup that is on the growth trajectory, it would provide opportunities to design and execute initiatives that will help us in this endeavorSo, what does it take to be an Associate with TheMathCompany? We are looking out for people who share our passion for Analytics and energy to build a great company. We have outlined few criteria that would make you successful in this role- Experience of working on analytics projects and initiatives, preferably around 2-5 years- Strong application knowledge on tools (R/SAS/Python/SPSS etc.) and techniques (Regression, Machine Learning, Classification, Time series etc.)- Passion to learn new technologies, techniques to stay ahead of the Analytics industry curve - Ability to do what it takes. We want you to be part of our growth story and this would entail roles and responsibilities that would be new, exciting and dynamicTheMathCompany would provide you an ecosystem to learn and grow in your professional journey, offering guidance to help you be successful in this journey with us. We are also a fun bunch and will help you in making this memorable.So, based on what you have read, You believe you have what it takes to build TheMathCompany?We would love to have a chat with you. Share your details with us and one of our team members would get in touch with you.
Job Description: Software Engineer (Tact AI) About The Opportunity We’re looking for an experienced Machine Learning/Deep Learning/NLP engineer to make an immediate impact on our Tact’s Artificial Intelligence (AI) Platform team. Tact is a well-funded, early stage startup with a world class product, team and a growing customer base. We are funded by Accel, Redpoint, Upfront & Microsoft Ventures. About Us Led by former Salesforce and Siebel executive Chuck Ganapathi, Tact is on a mission to make enterprise software more human-friendly. Tact is the world’s first mobile sales productivity suite. It combines Salesforce and everyday sales tools into one app that works offline. Tact’s device-native, conversational platform is used by Fortune 500 companies to transform the daily sales experience in the field and maximize the value of their CRM investment. What You’ll Be Doing • You will be working with Tact’s Artificial Intelligence (AI) Platform team to design & deliver world class enterprise conversational platform. • Work with small cross functional teams to deliver product features on time with high quality. • Exploration, creation and optimization of intents, utterances, entities, and other signals for optimizing interactive conversational experience. • Participate in design and code reviews. What You Should Have • 8+ years of software development experience preferably in Java. • 5+ years of experience in Machine Learning/Deep Learning/Natural Language Processing (NLP). • Familiarity with conversational flow development experience using voice and text- based NLP channels like Amazon Alexa, Slack, Cortana, etc. • BS or MS in Computer Science or related field. • Excellent oral and written communication skills and desire to work with small teams in a dynamic startup culture. • Take ownership of features and projects and be self-driven to deliver them on time.
We are looking for someone with passion for programming, building complex and scalable products, hands with coding and proven track record of building, mentoring and managing teams. You should have at least 6 years of experience of working in Agile teams with deep expertise in best practices like TDD, CI, CD, Pairing etc and an aptitude for good design and disciplined coding and delivery. Your overall experience in the software industry can be anywhere from 6 to 10 years with several years of experience leading teams, architecting complex software systems and mentoring juniors. It would be good if you have freelanced before (or are willing to explore that option) and a portfolio of impressive work which would make you stand out from rest of the crowd. Ideally, we would want you to work with us co-located from our office in Bangalore. But remote option can be considered on case-by-case basis.
Does the current state of media frustrate you? Do you want to change the way we consume news? Are you a kickass machine learning practitioner and aspiring entrepreneur, who has opinions on world affairs as well? If so, continue reading! We at UnFound are developing a product which simplifies complex and cluttered news into simple themes, removes bias by showing all (& often unheard of) perspectives, and produce crisp summaries- all with minimal human intervention! We are looking for passionate and experienced machine learning ENGINEER/INTERN, *preferably* with experience in NLP. We want someone who can take initiatives. If you need to be micro-managed, this is NOT the role for you. 1. Demonstrable background in machine learning, especially NLP, information retrieval, etc. 2. Hands on with popular data science frameworks- Python, Jupyter, TensorFlow, PyTorch. 3. Implementation ready background in deep learning techniques like word embeddings, CNN, RNN/LSTM, etc. 4. Experience with productionizing machine learning solutions, especially ML powered mobile/ web-apps/ BOTs. 5. Hands on experience on AWS, and other cloud platforms. GPU experience is strongly preferred. 6. Thorough understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.) 7. Good Kaggle (or similar) scores, MOOC (Udacity, Coursera, fast.ai, etc.) preferred.
Does the current state of media frustrate you? Do you want to change the way we consume news? Are you a kickass software ninja and aspiring entrepreneur, who has opinions on world affairs as well? If so, continue reading! We at UnFound are developing a product which simplifies complex and cluttered news into simple themes, removes bias by showing all (& often unheard of) perspectives, and produce crisp summaries- all with minimal human intervention! We are looking for a passionate and experienced CTO level person to join us! (don't worry, you don't need grey hairs &/or a suit). We want someone who can take initiatives. If you need to be micro-managed, this is NOT the role for you. __ Few things we'd like (if) you have: 1. Strong computer science background. 2. Experience in designing end-to-end software products (especially with teams!). 3. Experience with designing web-services, micro-service architecture, RESTful API's. 4. Hands on with front-end frameworks such as Angular, React. 5. Strong experience in web and mobile app development. 6. Be able to architect Machine Learning, Deep Learning (& especially NLP) solutions. 7. Strong experience with relational and NoSQL databases. 8. Hands on with AWS, and other cloud platforms. 9. Excellent DESIGN sense 10. Should be able to manage/guide team While the above points are a plus, curiosity to learn and bias for action is what matters most to us. We're more keen to look at your GitHub/StackOverflow profiles, MOOCs, blogs, etc over CVs.
A research lab with roots laid in innovation, we are looking for someone who can take reins of our AI based development think tank. Given the work ethics and results, the salary can be re-negotiated in 5 months.
-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.
Description • Develop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning. • Provide software specifications and production code on time to meet project milestones Qualifications • BE or Master with 3+ years of experience • Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition • Must have experience in feature extraction, segmentation and classification of the image • Face detection, alignment, recognition, tracking & attribute recognition • Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc. • Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics • Strong development skills in MATLAB and Python • Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, caffe, keras • Quick learner of new technologies • Ability to work independently as well as part of a team • Knowledge of working closely with Version Control(GIT)
Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team. Main Duties ● Quickly research the latest innovations in Machine Learning, especially with respect to Natural Language Understanding & implement them if useful ● Train models to provide different insights, mainly from text but also other media ● Validate the models trained. Fine-tune & optimise as necessary ● Deploy validated models ● Periodically, test & validate models in use. Update where necessary Role & Relationships We consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEO Educational Qualifications We don’t discriminate. As long as you have the required skill set & the right attitude Experience Upto two years of experience, preferably working on ML. Freshers are welcome too! Skills Good ● Strong understanding of Java / Python ● Clarity on concepts of Data Science ● A strong grounding in core Machine Learning ● Ability to wrangle & manipulate data into a processable form Even better ● Experience with deep learning ● Experience with frameworks like Scikit-Learn, Tensorflow, CNTK, Theano, Keras Competencies ● An aptitude to solve problems & learn something new ● Highly self-motivated ● Analytical frame of mind ● Ability to work in fast-paced, dynamic environment Location Currently in Whitefield, Bangalore Remuneration Once we meet, we shall make an offer depending on how good a fit you are & the experience you already have About us Aikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about. Get in touch If you are interested, please do mail your Resume to email@example.com with subject as “Software Engineer - ML”
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
We are looking to hire passionate Java techies who will be comfortable learning and working on Java and any open source frameworks & technologies. She/he should be a 100% hands-on person on technology skills and interested in solving complex analytics use cases. We are working on a complete stack platform which has already been adopted by some very large Enterprises across the world. Candidates with prior experience of having worked in typical R&D environment and/or product based companies with dynamic work environment will be have an additional edge. We currently work on some of the latest technologies like Cassandra, Hadoop, Apache Solr, Spark and Lucene, and some core Machine Learning and AI technologies. Even though prior knowledge of these skills is not mandatory at all for selection, you would be expected to learn new skills on the job.
APPLY LINK: http://bit.ly/2F83vxU Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Researcher - Deep Learning & AI Team: Research Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: INR 10-50 LPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a <real startup with meaningful product>. For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for researchers with real passion for deep learning. You would be required to work with our research team on several deep learning applications. Mandatory R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation R2. Must be able to apply state-of-art deep learning models to our existing research and develop entirely new methods, which are advanced & modern R3. Must have designed multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries R4. Must have designed proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data R5. Must have designed CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM R6. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN R7. Must have worked on classification, clustering, computer vision, speech recognition, text summarization, time-series analysis R8. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities) R9. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain) and atleast basic working knowledge on TensorFlow. R/ SAS/ SPSS etc are not acceptable. Preferred R10. Good to have knowledge and practical experience in application of Supervised Learning algorithms, Bayesian methods, Gaussian processes, Combinatorial optimization, Meta Learning, Transfer Learning, Convex optimization, Sparse methods, Kernel methods, Stochastic process, Statistical learning theory, and Approximate inference R11. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures R12. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training R13. Good to have worked on Keras on top of TensorFlow R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks R15. Great problem solver with extremely high curiosity on data processing & patterns Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors/Masters/Ph.D level or above from a top tier institute Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a research lab or a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with findings & innovations, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: <Do your Greatest work of life> You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to firstname.lastname@example.org For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/research Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.
FarmGuide is a data driven tech startup aiming towards digitizing the periodic processes in place and bringing information symmetry in agriculture supply chain through transparent, dynamic & interactive software solutions. We, at FarmGuide (https://angel.co/farmguide) help Government in relevant and efficient policy making by ensuring seamless flow of information between stakeholders.Job Description :We are looking for individuals who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out the data science team and looking to hire across levels.- Solving complex problems in the agri-tech sector, which are long-standing open problems at the national level.- Applying computer vision techniques to satellite imagery to deduce artefacts of interest.- Applying various machine learning techniques to digitize existing physical corpus of knowledge in the sector.Key Responsibilities :- Develop computer vision algorithms for production use on satellite and aerial imagery- Implement models and data pipelines to analyse terabytes of data.- Deploy built models in production environment.- Develop tools to assess algorithm accuracy- Implement algorithms at scale in the commercial cloudSkills Required :- B.Tech/ M.Tech in CS or other related fields such as EE or MCA from IIT/NIT/BITS but not compulsory. - Demonstrable interest in Machine Learning and Computer Vision, such as coursework, open-source contribution, etc.- Experience with digital image processing techniques - Familiarity/Experience with geospatial, planetary, or astronomical datasets is valuable- Experience in writing algorithms to manipulate geospatial data- Hands-on knowledge of GDAL or open-source GIS tools is a plus- Familiarity with cloud systems (AWS/Google Cloud) and cloud infrastructure is a plus- Experience with high performance or large scale computing infrastructure might be helpful- Coding ability in R or Python. - Self-directed team player who thrives in a continually changing environmentWhat is on offer :- High impact role in a young start up with colleagues from IITs and other Tier 1 colleges- Chance to work on the cutting edge of ML (yes, we do train Neural Nets on GPUs) - Lots of freedom in terms of the work you do and how you do it - Flexible timings - Best start-up salary in industry with additional tax benefits
Responsibilities : The Data Scientist will lead client-facing engagements aimed at solving clients most challenging business problems through the use of inspired analytics; the assembly and integration of disparate data sources, application of machine learning methods and impactful interpretation and communication of key insights through intuitive visualization and decision support tools. Desired Profile : - Strong fundamentals of machine learning, general statistics and data science principles - Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning etc - Experience in some of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance - Solid data management and statistical modelling skills: SAS, R, Mahout, Matlab, Python (SciPy, NumPy), SQL and Excel - Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner - Critical eye for the quality of data and strong desire to get it right - Ability to work in a fast-paced and deadline driven environment - Strong work ethics like sense of collaboration and ownership, result orientation, being team player - Candidate should be comfortable with working from clients- office Qualifications : - B.E./B.Tech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC) in Computer Science/Statistics/IT/ECE stream - M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent - Minimum 4+ years of relevant work experience in Data Science Requirement : - 4+ years of IT experience in data-driven or AI technology products - Hands-on expertise on analytical tools like R, SAS, Tableau, Excel. - Excellent communication, interpersonal and managerial skills - Ability to work with minimal supervision in a dynamic and timeline sensitive work environment - Team management experience is must - Work collaboratively with the Founders and Accounts Leads in terms of project execution and timelines. - Experience in decision science tools and techniques will be added advantage.