Quantiphi is a category-defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact.
We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.
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
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!
What will you do? ------------------------ Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are - * Limited resource Speaker Diarization on mono-channel recordings in noisy environment. * Speech Enhancement to improve accuracy of downstream speech analytics tasks. * Automated Speech Recognition for accent heavy audio with a noisy background. * Speech analytic tasks, which include: emotions, empathy, keyword extraction. * Text analytic tasks, which include: topic modeling, entity and intent extraction, opinion mining, text classification, and sentiment detection on multilingual data. A typical day at work ----------------------------- You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production! What should you know? --------------------------------- * Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms. * Experience with literature review either in academia or industry. * Proficiency in at least one programming language such as Python, C, C++, Java, etc. * Proficiency in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano. * Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics Why DeepAffects? -------------------------- * You’ll learn insanely fast here. * Esops and competitive compensation. * Opportunity and encouragement for publishing research at top conferences, paid trips to attend workshop and conferences where you have published. * Independent work, flexible timings and sense of ownership of your work. * Mentorship from distinguished researchers and professors.
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 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.
Should be experienced in building Machine learning pipelines. Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework
We are looking for somebody who has experience in building models using TensorFlow, theano, spacy, keras etc. Deep understanding of text classification is required. About BillTrim: BillTrim uses ML + Human to negotiate and monitor all utility bills such as cable, internet, cell phone, electricity, auto insurance etc BillTrim negotiates a better rate and protects our customers from overpaying. BillTrim is San Francisco based growing startup funded by well respected and proven investors. Why work with us? BillTrim is here to make history. We are passionate to solve problems. We deeply care about our customers. To work on something great, something big not average. We do not compromise with quality. To make SAAS that customers will love and appreciate. To witness crazy growth and take your career and take it new heights. We believe in one outstanding employee gets more done and costs less than two adequate employees. Less is better, do not clutter unnecessary text, image, button or even a line of code. We follow Silicon Valley culture. Personality: Go to attitude Tenacious and hungry to make a name Willing to learn and adapt Willing to work on weekends if need be Filled with curiosity and not afraid to ask questions Think independently and be open-minded to possibilities Do not apply: If you are looking for a regular 9 to 5 job If you are not willing to make BillTrim a priority in your life If you are not willing to give your best. If you do not enjoy working in fast pace startup If you are not comfortable in doing a job you aren't hired for If you need someone to explain you every single detail Job Perks: Free Breakfast (fruits, tea, snacks) Free lunch Opportunity to spend couple weeks per year in Silicon Valley, California Best hardware including multiple screens(25-27") Possible bonus based on performance at the end of year Access to one on one mentors and any learning material you need. 15 min Declutter break. No internet, talking or reading. Immerse yourself in silence and observe pure being. Paid UBER/OLA rides if you can manage to come to the office before 8 AM and leaving after 8 PM
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.
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
Spotmentor is focussed on using the Intelligence-age tools and technologies like AI and Text analytics to create HR technology products which go beyond compliance and ERPs to give HR the power to become strategic, improve business results and increase the competitiveness. The HR and People departments have long sought to become strategic partners with businesses. We are focussed on taking this concept out of the board room meetings and making it a reality and you can be a part of this journey. At the end of it, you would be able to claim that there was an inflection point in History, which changed how business was transacted and you made that happen. Our first product is a Learning and Skill development platform which helps the organisations to acquire capabilities critical for them by helping employees attain their best potential through learning opportunities. Spotmentor was started by 4 IIT Kharagpur alumni with experiences in creating Technology products and Management consulting. We are looking for a Data Scientist who will help discover the information hidden in vast amounts of data, and help us make smarter decisions that benefit the employees of our customer organisations. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high quality prediction systems using structured and unstructured data. Technical Responsibilities: - Selecting features, building and optimizing classifiers using machine learning techniques - Data mining using state-of-the-art methods - Extending the existing data sets with third party sources of information - Processing, cleansing, and verifying the integrity of data used for analysis - Build recommendation systems - Automate scoring of documents using machine learning techniques Salary: This is a founding team member role with a salary of 20 Lacs to 30 Lacs per year and a meaningful ESOP component. Location: Gurgaon We believe in making Spotmentor the best place for the pursuit of excellence and diversity of opinions is an important tool to achieve that. Although as a startup our primary objective is growth, Spotmentor is focussed on creating a diverse and inclusive workplace where everyone can attain their best potential and we welcome female, minority and specially abled candidates to apply.