Senior R & D Engineer will be part of research and development efforts of First American (India) in the areas of Machine Learning, Artificial Intelligence, Natural Language Processing, Evolution Algorithm and Optimization techniques. The role will identify areas of opportunities in the business groups across the organization, select research problems, define scope and objective of the research efforts and provide innovative solutions to the real-world challenges. Responsibilities will include system and research study, collaborate with external and internal stakeholders, create prototypes, envisage next generation challenges and suggest solutions, document and facilitate intellectual property generated from R & D efforts. Competencies: Define scope and objective of the research and development efforts including the research agenda, planning and implementation of research projects System study of the products, technology and offerings of the organization vis-à-vis industry benchmarks Work with internal and external stakeholders and identify areas of interest for the NLP, AI or Machine Learning intervention Role is expected to take initiatives and solve complex business and technical problems, prioritize work and make decisions under challenging environments. Develop complex research projects. This includes determining appropriate methodologies and approach, coordinating the work of others, complex research analysis results, presenting results to internal audiences, preparing presentations and properly documenting the project work Responsible to facilitate intellectual property generated and file patents Responsible to promote an ongoing learning culture in the product development groups spanning across the research and development areas. Perform periodic review and assessment of research findings and innovation threads. Technical Skills: 5 to 7 years of progressive work experience in the research and development area. Hands on experience in NLP, AI, Machine Learning and Deep Learning. Deep understanding of state-of-the-art machine learning, NLP and deep learning algorithms, techniques and best practices. Experience in one or more Deep Learning frameworks Excellent understanding of the various R & D methodologies prevalent in the product development space. Excellent skills in Python programming. Good hands on experience in Libraries like Scikit-learn, Numpy and Pandas. Should have good understanding of Django & Flask Frameworks. Should have hands on experience working on libraries – Keras, Tensorflow and Pytorch. Expert research and analytical skills. Strong experience in data structures, algorithms and software design. Proven track record of publishing technical journals, articles, white papers and or filing patents. Experience working in complex, multi-tier applications, breaking down complex business problems in to actionable solutions. Hands on implementation of POC of the designed research projects using languages like Python. Educational Qualification and Experience: Minimum of 15 years of formal education - Graduate / Post Graduate in Computer Science / Information Technology. Professional work experience of 5 to 7 years.
About the role :We are looking for a highly-skilled, experienced, and passionate Data Science leader 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, have built platforms from scratch and have a track record of developing and deploying data-science models into live applications.What you will do :- Leading the data science function, building the roadmap and setting up the best practices- Collaborate with and influence leadership to ensure Data Science directly impacts strategy- Drive an organizational effort toward a better understanding of user needs and pain points, and propose solutions that data science can provide to further this goal- Build and deploy Machine Learning models in production systems- Building platforms from scratch to solve image recognition and context understanding problems, and also improving search- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. - Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations- Develop comprehensive knowledge of data structures and metrics, advocating for changes, where needed for product development.- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information- Research and develop analysis, forecasting, and optimization methods to improve the product quality- Build and prototype analysis pipelines iteratively to provide insights at scale.- Building/maintaining of reports, dashboards, and metrics to monitor the performance of our products- Develop deep partnerships with engineering and product teams to deliver on major cross-functional measurements, testing, and modellingWhat you need :- Experience in OCR, Elastic Search, NLP and Python libraries - Pandas, NumPy, SciPy, TensorFlow, Scikit-learn- BS/BE/MS/PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience- 10+ years of experience in data science, algorithmic engineering, and machine learning.- Preferably solved problems from scratch to scale- Experience in hiring, managing and mentoring data science, data engineering, and analytics teams- Experience designing a data science roadmap and executing the vision behind it- Experience in handling data (structured+unstructured), building and deploying data science models (Regression, Decision Trees, K-Means, etc.) in production systems- Experience doing quantitative analysis including experience with SQL or other programming languages (Python, R). Experience with large data sets and analytical tools, e.g. Hive, Spark - Experience communicating the results of the analysis to an executive audience- Experience instilling a culture of ownership, collaboration, and results- Track record of recruiting talent in analytics and data science- Track record of delivering data-driven products and insights
We’re building our Engineering team at Assembly, a fast-growing start-up based in Los Angeles and Bangalore! Our recognition and rewards platform offers organizations a better way to engage employees and drive organizational culture. About you We are looking for our very first Data Scientist to join the team and contribute to the evolving Assembly product offering. You will be responsible for building state of the art ML models to improve product usage to our customers. You are passionate about company culture. You love challenging yourself to constantly improve, and you share your knowledge to empower others. You are self-directed and scrappy, able to solve problems effectively without compromising the product. You look beyond the surface to understand the root causes so that you can build long-term solutions for the whole ecosystem. And finally, you enjoy being a part of a small but mighty team with a mission of changing the way companies engage their employees! Job Description We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. Some early projects you will work on and not limited to: Build a system for automated fraud detection and analyze sentences to give value to our customers. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending the company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Requirements Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests. Experience with common data science toolkits, such as Notebook, Sagemaker, Weka, NumPy, Scikit. Excellence in at least one of these is highly desirable Great communication skills Experience on state of the art models Roberta, GPT etc is a huge plus Good applied statistics skills, such as distributions, statistical testing, regression, etc. Data-oriented personality
Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore