Lead Data Scientist Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & fastest-growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. How we work? It’s all about being Happier first. And the rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Lead Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : Collaborate with team members to develop new models to be used for classification problems Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks Use independent judgment to take existing data and build new models from it Collaborate and provide technical guidance Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences Improving existing models and creating self-learning systems. Stakeholder management and leadership Decision making and problem-solving Accomplishment Set : Extensive experience with Hadoop and Machine learning algorithms 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) Passion for solving NLP problems Experience with specialized tools and project for working with natural language processing Programming experience in Python Knowledge of machine learning frameworks like Tensorflow, Pytorch Experience with software version control systems like Github Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills Education and Experience : B. E. / B. Tech / Masters in Computer Science Strong in academics and good aptitude Excellent communication skills with a flair to learn quickly 4-8 years of relevant experience Research and implement novel machine learning and statistical approaches Prior exposure to product development would be an added advantage
About the role In this role you will: Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more. Work on performance tuning of models From time to time work on support and debugging of these production systems Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform. Building workflows for training and production systems Contribute to documentation About you You are a mid-career machine learning engineer (or data scientist). Our ideal candidate is someone with 4-6 years of experience in data science. Must Haves You should be experienced in framing and solving problems with the application of machine learning or deep learning models. Knowledge of and experience in computer vision. A large part of our work revolves around computer vision, and you should have worked on this in a production environment. You have experienced that and understand that modelling is only a small part of building and delivering AI solutions and know what it takes to keep a high-performance system up and running. Our usage of libraries and tooling is oriented around Python, Tensorflow and Pytorch, so we would want you to have a good understanding of and experience in applying these. We build our own services, hence we would expect you to have knowledge of writing APIs. Enthusiasm and drive to learn and assimilate the state of the art research. A lot of what we are building will require innovative approaches using newly researched models and applications. Good to Have Our stack also includes languages like Ruby, Go and Elixir. We would love it if you know any of these or take interest in functional programming. Knowledge of and experience in ML Ops and tooling would be a welcome addition. We use Docker and Kubernetes for deploying our services. Experience in using any other platform, frameworks, tools. About IDfy IDfy is ranked amongst the World's Top 100 Regulatory Technology companies for the last two years. IDfy's AI-powered technology solutions help identify people accurately, authenticate their credentials, and make sure that no fraud or impersonator enters the system. We create the confidence required for people and businesses to engage with each other in the digital world. If you have used any major payment wallets, or have used a self-drive car, or have played a real-money online game, or hosted people through AirBnB, it's quite likely that your identity has been verified by IDfy at some point. About the team The machine learning team is a self-contained team responsible for building models and services that support key workflows for IDfy. Our models are gating criteria for these workflows and as such are expected to perform accurately and quickly. We use a mix of conventional and hand-crafted deep learning models. The team comes from diverse backgrounds and experience. We have IIT-ians, ex-bankers and startup founders. We work directly with business and product teams to craft solutions for our customers. We know that we are, and function as a platform and not a services company.
About the team● The machine learning team is a self-contained team of 9 people responsible for building models and services that support key workflows for IDfy.● Our models are gating criteria for these workflows and as such are expected to perform accurately and quickly. We use a mix of conventional and hand-crafted deep learning models.● The team comes from diverse backgrounds and experiences. We have ex-bankers, startup founders, IIT-ians, and more.● We work directly with business and product teams to craft solutions for our customers. We know that we are, and function as a platform and not a services company.● Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.● Work on performance tuning of models● From time to time work on support and debugging of these production systems● Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.● Building workflows for training and production systems● Contribute to documentationAbout you● You are an early-career machine learning engineer (or data scientist). Our ideal candidate issomeone with 1-3 years of experience in data science.Must Haves● You have a good understanding of Python and Scikit-learn, Tensorflow, or Pytorch. Our systems are built with these tools/language and we expect a strong base in these.● You are proficient at exploratory analysis and know which model to use in most scenarios● You should have worked on framing and solving problems with the application of machine learning or deep learning models.● You have some experience in building and delivering complete or part AI solutions● You appreciate that the role of the Machine Learning engineer is not only modeling, but also building product solutions and you strive towards this.● Enthusiasm and drive to learn and assimilate the state of art research. A lot of what we are building will require innovative approaches using newly researched models and applications.Good to Have● Knowledge of and experience in computer vision. While a large part of our work revolves around computervision, we believe this is something you can learn on the job.● We build our own services, hence we would want you to have some knowledge of writing APIs.● Our stack also includes languages like Ruby, Go, and Elixir. We would love it if you know any of these or take an interest in functional programming.● Knowledge of and experience in ML Ops and tooling would be a welcome addition. We use Docker and Kubernetes for deploying our services.
1. The candidate should be passionate about machine learning and deep learning.2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.3. Hands-on experience with statistical, machine-learning tools and techniques4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.8. Expert level coding experience in Python.9. Technologies: Backend - Python (Programming Language)10. Should have the ability to think long term solutions, modularity, and reusability of the components.11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.