Experience in AI/ Machine Learning/ Data science and have a technical bend of mind.Writing user stories and grooming those with design and engineering teams.Familiarity with Agile and Rapid Application Development.Interaction with users, perform market research and develop the productsMonitoring the development & QA teamsHigh-level oversight of customer implementations and ensuring adoption.Ensuring all deliverables are met on time and with expected quality.The ability to learn new technical concepts quickly.
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 & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. What do we believe? Best practices are overrated Implementing best practices can only make one n ‘average’. Honesty and Transparency We believe in the naked truth. We do what we tell and tell what we do. Client Partnership Client - Vendor relationship: No. We partner with clients instead. And our sales team comprises 100% of our clients. How we work? It’s all about being Happier first. And 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 Senior 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 Fit Assessment : A Searce team member is a highly motivated individual with a phenomenal amount of passion and energy for whatever he/she engages in; Who respects honesty, integrity, initiative, and creative approach to problem-solving; An inspiration to colleagues, he/she is a tenacious, and highly driven professional with a proven record of success and with a strong empathy for people - clients, partners, colleagues or vendors. 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
Strong in problem solving, algorithms and data structures Proficient in Python Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI Experience with knowledge Graph or any graph based system is plus Able to train and deploy models Broad knowledge of machine learning algorithms and principles Performance profiling and Tuning Communicate and propose solutions to business challenges Familiarity with at least one of the cloud computing infrastructure - GCP/AWS Keep abreast with the latest technological advances Team mentoring and leadership skills.
Must-Have : 6+ years of experience in solving data science problems using machine learning, data mining algorithms, and big data tools. Strong experience with advanced SQL and good experience in big data ecosystem - Hive/Pig/MapReduce, Spark Experience in delivering at least one product with involvement in business problem identification, proposing solutions and evaluating them, identifying required data sources, building a data pipeline, visualizing the outputs, and taking actions based on the data outputs. Strong Experience with at least one programming language - e.g. Java, Python, R ( Exposure to multiple is a plus) Storing Experience in delivering data science projects leveraging cloud infrastructure. Experience with Agile framework. Experience in leading a data science team is a plus. Highly passionate about making an impact on business using data science. Believes in continuous learning and sharing knowledge with peers.
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
Who are we? With millions of transactions each month, Animall is the world’s fastest-growing agritech company. We continue to re-imagine and re-engineer the dairy ecosystem in India. Are you interested in building the next-generation platform that handles petabytes of data and powers data insight creation using cutting edge data science? Excited about using Big Data, AI/Machine Learning, and Data Analytics to deliver actionable insights? If yes, Animall's the place for you! Who are we looking for? A strong background in distributed data processing & software engineering and can build high-quality, scalable data products. Industry experience working with distributed data technologies for building efficient, large-scale data pipelines. Experience with OLTP(such as MySQL, Postgres) and OLAP database systems. Experience with Cloud Computing platforms like Google Cloud, Amazon AWS. Experience building distributed, high-volume data services. Experience in Docker and Large Scale Data-Intensive Systems. Why Animall? A fast-paced environment to learn and grow. You’ll get opportunities to represent the company in events like Devoxx, Google Developer Days India, etc. Very high autonomy; freedom to take risks, to experiment, and to fail. An opportunity to work on something that really matters. Check out the reviews for our app. Very high transparency. Fair market salary.
About antuit.ai Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through. Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital. The Role: Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python. In this role, you will design the approach, develop and test machine learning algorithms, implement the solution. The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving. Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities. Responsibilities: Responsibilities includes, but are not limited to the following: Design, build, test, and implement predictive Machine Learning models. Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met. Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers. Collaborate cross-functionally with domain experts to identify gaps and structural problems. Contribute to standard business processes and practices as part of a community of practise. Be the subject matter expert across multiple work streams and clients. Mentor and coach team members. Set a clear vision for the team members and working cohesively to attain it. Qualifications and Skills: Requirements Experience / Education: Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates. Highly technical: Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python. Understanding of data structures and data modeling. Effective communication and presentation skills Able to collaborate closely and effectively with teams. Experience in time series forecasting is preferred. Experience working in start-up type environment preferred. Experience in CPG and/or Retail preferred. Effective communication and presentation skills. Strong management track record. Strong inter-personal skills and leadership qualities. Information Security Responsibilities Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in Information Security training and act accordingly while handling information. Report all suspected security and policy breach to Infosec team or appropriate authority (CISO). EEOC Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
About antuit.ai Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through. Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital. The Role: Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs. Responsibilities: Responsibilities includes, but are not limited to the following: Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations. Design, build reliable and scalable automated processes for large scale machine learning. Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. Collaborate with Business, Technology and Product teams to stand-up MLOps process. Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools. Deep dive into complex algorithmic and product issues in production Own metrics and reporting for delivery team. Set a clear vision for the team members and working cohesively to attain it. Mentor and coach team members Qualifications and Skills: Requirements Engineering degree in any stream Has at least 7 years of prior experience in building ML driven products/solutions Excellent programming skills in any one of the language C++ or Python or Java. Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc. Developed and productized large-scale models/algorithms in prior experience Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks. Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools). Good verbal, written and presentation skills. Ability to learn new skills and technologies. 3+ years working with retail or CPG preferred. Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred. Information Security Responsibilities Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in Information Security training and act accordingly while handling information. Report all suspected security and policy breach to Infosec team or appropriate authority (CISO). EEOC Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
About the role:We’re looking for a strategic, data-driven, experienced growth leader to drive our growth initiatives. As part of the SoStronk team, you will join a team of top-notch engineers, designers and product managers to bring growth strategies to life. With an eye for experimentation, you will design and validate ideas with data-driven hypotheses, testing short term ideas that prove a longer-term vision. In this role, you will work closely with product and content teams to lead efforts to grow and retain SoStronk’s audience. Based on experience and milestones, the role could transition to that of Chief Marketing Officer or Chief Revenue Officer.What you will do: Ownership: You will have ownership of the entire growth vertical of the company; lifecycle of all growth channels from budgeting, execution, evaluation and corrections. Team Building: You will build a team - consisting of performance marketers and content creators. Data-Driven: You will develop daily, weekly, and monthly channel KPI targets with our Management team and manage our marketing spend accordingly Customer-Centric: You will understand our gamers and identify opportunities for growth and optimization at every stage of their lifecycle Performance Marketer: You will own our SEO strategy and performance, identify issues, and partner with relevant teams to solve. Cross-Functional: You will work cross-functionally with product and design teams to optimize the user journey for growth. Leadership: You will share founders’ primary role as product-market fit leaders Culture Creation: You will build a growth culture consisting of ways of working, processes and tools that enable the entire organization to be growth-driven. Experimenter: You will create experimentation roadmaps and execute rigorous A/B tests to improve campaign effectiveness Stakeholder Communication: You will interact with our board of directors and communicate across our growth strategy on a monthly basis. What we are looking for? Should have at least 7 years of growth marketing experience Analytical problem-solver who uses data to form hypotheses Comfortable managing a budget in annual performance marketing spending Experience developing local and hyperlocal marketing strategies both on-ground and digitally Channel-agnostic when it comes to approaching customer acquisition A naturally inquisitive, deliberate, and inclusive team player Experience working with SQL and comfortable extracting insights from complex datasets You have experience working at a high-growth startup and thrive in a fast-paced, collaborative environment You are creative, scrappy, and detail-oriented You believe in working cross-functionally to evolve the product for growth strategies Nice to have: Passionate about gaming and esports Founder experience in previous startups B2C Growth experience About:SoStronk is a tight-knit team of gamers, storytellers, engineers, designers and trailblazers who are disrupting gaming and esports at scale. We have been a disruptive player in the esports platform space for over 5 years and are now positioned for meteoric growth with the backing of DreamSports.
About us: We are an emerging Artificial Intelligence-based startup trying to cater to the need of industries that employ cutting-edge technologies for their operations. Currently, we are into and provide services to disruptive sectors such as drone tech, video surveillance, human-computer interaction, etc. In general, we believe that AI has the ability to shape the future of humanity and we aim to work towards spearheading this transition. About the role: We are looking for a highly motivated data scientist with a strong algorithmic mindset and problem-solving propensity. Since we are operating in a highly competitive market, every opportunity to increase efficiency and cut costs is critical and the candidate should have an eye for such opportunities. We are constantly innovating – working on novel hardware and software – so a high level of flexibility and celerity in learning is expected. Experience: 2 - 4 years Responsibilities: Design machine learning / deep learning models for products and client projects. Creating and managing data pipeline. Exploring new SOTA models and data handling techniques. Coordinate with software development teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Explore new promising technology and implement it to create awesome stuff. Technology stack: Must have: Python Pandas, Numpy Tensorflow, Pytorch Sklearn Good to have: Scipy Opencv Space, NLTK What’s in it for you: Opportunity to work on a lot of new cutting-edge technologies: We promise you rapid growth on your skillset by providing you with a steep learning curve. Opportunity to work closely with our experienced founding members who are experts in developing scalable practical AI products and software architecture development.
If you are interested in joining a purpose-driven community that is dedicated to creating ambitious and inclusive workplaces, then be a part of a high growth startup with a world-class team, building a revolutionary product! Our client is a vertical fintech play focused on solving industry-specific financing gaps in the food sector through the application of data. The platform provides skin-in-the-game growth capital to much-loved F&B brands. Founded in 2019, they’re VC funded and based out of Singapore and India-Bangalore. Founders are the alumnus of IIT-D, IIM-B and Wharton. They’ve 12+ years of experience as Venture capital and corporate entrepreneurship at DFJ, Vertex, InMobi and VP at Snyder UAE, investment banking at Unitus Capital - leading the financial services practice, and institutional equities at Kotak. They’ve a team of high-quality professionals coming together for this mission to disrupt the convention. AsData Scientist, you will develop a first of its kind risk engine for revenue-based financing in India and automating investment appraisals for the company's different revenue-based financing productsWhat you will do: Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product Back-testing investment appraisal models at regular intervals to improve the same Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle Identifying relevant sub-sector criteria to score and rate investment opportunities internally Candidate Profile: Desired Candidate Profile What you need to have: Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory) Experience in working in lending/investing fintech (mandatory) Strong Excel skills (mandatory) Previous experience in credit rating or credit scoring or investment analysis (preferred) Prior exposure to working on data-led models on payment gateways or accounting systems (preferred) Proficiency in data analysis (preferred) Good verbal and written skills
At myyogateacher, we are looking for a software engineer with at leat 3 years experience as data engineer. She/he should be able to extract data from multiple sources like FB, google, dashboard, app and create a possible funnel to do meaningful analysis. Should be good at algorithms, logic and able to work effectively on spreadsheet.