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