Hypersonix.ai is disrupting the Business Intelligence and Analytics space with AI, ML and NLP capabilities to drive specific business insights with a conversational user experience. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in Restaurants, Hospitality and other industry verticals.Hypersonix.ai is seeking a Data Evangelist who can work closely with customers to understand the data sources, acquire data and drive product success by delivering insights based on customer needs.Primary Responsibilities :- Lead and deliver complete application lifecycle design, development, deployment, and support for actionable BI and Advanced Analytics solutions- Design and develop data models and ETL process for structured and unstructured data that is distributed across multiple Cloud platforms- Develop and deliver solutions with data streaming capabilities for a large volume of data- Design, code and maintain parts of the product and drive customer adoption- Build data acquisition strategy to onboard customer data with speed and accuracy- Working both independently and with team members to develop, refine, implement, and scale ETL processes- On-going support and maintenance of live-clients for their data and analytics needs- Defining the data automation architecture to drive self-service data load capabilitiesRequired Qualifications :- Bachelors/Masters/Ph.D. in Computer Science, Information Systems, Data Science, Artificial Intelligence, Machine Learning or related disciplines- 10+ years of experience guiding the development and implementation of Data architecture in structured, unstructured, and semi-structured data environments.- Highly proficient in Big Data, data architecture, data modeling, data warehousing, data wrangling, data integration, data testing and application performance tuning- Experience with data engineering tools and platforms such as Kafka, Spark, Databricks, Flink, Storm, Druid and Hadoop- Strong with hands-on programming and scripting for Big Data ecosystem (Python, Scala, Spark, etc)- Experience building batch and streaming ETL data pipelines using workflow management tools like Airflow, Luigi, NiFi, Talend, etc- Familiarity with cloud-based platforms like AWS, Azure or GCP- Experience with cloud data warehouses like Redshift and Snowflake- Proficient in writing complex SQL queries.- Excellent communication skills and prior experience of working closely with customers- Data savvy who loves to understand large data trends and obsessed with data analysis- Desire to learn about, explore, and invent new tools for solving real-world problems using dataDesired Qualifications :- Cloud computing experience, Amazon Web Services (AWS)- Prior experience in Data Warehousing concepts, multi-dimensional data models- Full command of Analytics concepts including Dimension, KPI, Reports & Dashboards- Prior experience in managing client implementation of Analytics projects- Knowledge and prior experience of using machine learning tools
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.
Role and Responsibilities3-5 years of Python Programming with System Programming & or Data Analytics Well versed with Python programming Understanding of Oops concepts Ability to develop scalable Python systems with multi-threading & asynchronous programming familiar with SQL (Relational DB), NO SQL DBS & Time Series DB like Cassandra Strong Data Engineering back ground - should have worked with Data Streaming & Messaging frameworks, have handled streaming data sets. Understanding of data modelling, software architecture and data structures Good understanding and strong knowledge in algorithms and statistics Added Machine learning knowledge and experience preferable Understanding of data augmentation pipelines, analyzing the ML algorithms, feature engineering, training and turning models and deploying models to production Proficiency with deep learning framework About Us: We are a product company catering to Manufacturing Industries. We provide Digital Factory, Industrial IoT and Big Data & Analytics Solutions to the manufacturing plants
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 CloudData Engineering, AI/Machine Learning and Advanced Cloud infra techs such asAnthos and Kubernetes. We are one of the top & the fastest growing partners forGoogle Cloud and AWS globally with over 2,500 clients successfully moved to thecloud.What we believe?1. Best practices are overrated○ Implementing best practices can only make one an “Average”.2. Honesty and Transparency○ We believe in the naked truth. We do what we tell and tell what we do.3. 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 byHAPPIER.1. Humble: Happy people don’t carry ego around. We listen to understand; notto respond.2. Adaptable: We are comfortable with uncertainty. And we accept changeswell. As that’s what life's about.3. Positive: We are super positive about work & life in general. We love toforget and forgive. We don’t hold grudges. We don’t have time or adequatespace for it.4. Passionate: We are as passionate about the great street-food vendor acrossthe street as about Tesla’s new model and so on. Passion is what drives us towork and makes us deliver the quality we deliver.5. Innovative: Innovate or Die. We love to challenge the status quo.6. Experimental: We encourage curiosity & making mistakes.7. Responsible: Driven. Self-motivated. Self-governing teams. We own it.Are you the one? Quick self-discovery test:1. Love for the cloud: When was the last time your dinner entailed an act on “Howwould ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and yourfriend did the ‘Sheldon’ version of the same thing.2. Passion for sales: When was the last time you went to a remote gas station while onvacation and ended up helping the gas station owner saasify his 7 gas stationsacross other geographies.3. Compassion for customers: You listen more than you speak. When you do speak,people feel the need to listen.4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk canattempt to take humanity to Mars, why can’t we take your business to run on thecloud?’Fit AssessmentA Searce team member is a highly motivated individual with a phenomenal amount ofpassion 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 isa tenacious, and highly driven professional with a proven record of success and with astrong empathy for people - clients, partners, colleagues.Searce is looking for a Business Technology Analyst who is strong communicators, hasexcellent analytical and logical thinking skills, domain agnostic, quick learner who canconceptualize, develop & manage IT applications supporting the business processes.Critical thinking and rapid learning while working on a fast-paced new-age product are keyrequirements for these positions.Accomplishment Set● This role is the combination of Consulting, Sales & Tech role for super sharpconsulting aspirant techies who do not prefer to build their career in just coding.● You will be a part of a small highly dynamic & entrepreneurial Cloud Consulting,Data Engineering, AI & ML team that is responsible for questioning the status quo &helping futurify businesses.● Be a part of one of the top rated & fastest growing Cloud, Analytics & AI companyendorsed by both Google Cloud & AWS globally.Your bucket of undertaking● Research for any process improvements, develop and manage initiatives to improveprocesses.● Prepare and maintain all the process documents related to business.● Supervise changes and improvements implemented on Business TechnologyApplications.● Collect research data, perform business studies and make recommendations ifrequired.● Coordinate with the IT community to develop functional requirements, technicalspecifications and high level designs.● Communicate with business users in order to interpret requirements for IT groups.● Analyze and develop plans to improve the quality of the deliverables and processes.● Maintain system and data integrity during change control and managementprocesses.● Prepare and present reports to managers, update training material and guideswhen required.● Coordinate with different development teams to develop functional designs thatsatisfy the user requirements.Education & Experience● BE - IT, E&Tc or BCA,BCS,MCA● AI background necessary● 3-6 years of experience● Strong written and verbal communication skills● Experience in Agile product development is plus● Knowledge of cloud engineering is plus● Must be open for night shift
About Us:We are a technology services startup working with leading SaaS startups innovating in the realms of AI/ML, Cloud Computing, and Digital Transformation. With a clientele comprising exciting SaaS startups from the US & Europe, we’re striving to fast-track innovation across multiple industries. Join us to work on disruptive products that will shape the technological landscape through the next decade! (Visit https://www.aidetic.in/ to know more about the company.)About the Role:We are looking for a result-driven Business Development Associate to be responsible for all things sales - from generating lead generation to closing. If you have a keen interest in emerging technology sales, love interacting with poeple with an entrepreneurial mindset, and are a bit of a technology geek yourself, Aidetic is the perfect place to work for you! As an integral part of the Business Development team, you'll directly work with the founders to drive the company's sales. Working in a dynamic environment, you get to add value to businesses and startups who're innovating in the AI/ML space. Responsibilities: Driving the sales cycle which is focussed on providing AI/ML focused technology solutions to startups and mid-market firms Analyze sales trends, market dynamics and reports to determine business growth potential Process, follow up and nurture leads in the pipeline Generating collateral for promoting or educating customers about our offerings Requirements: Excellent verbal and written communication skills A penchant for sales Excellent research skills for high value lead generation An organized approach towards sales funnel management A result-driven mindset for lead conversion Quick learning ability to stay on top of new technological developments Basic familiarity with AI/ML use cases Content writing and designing experience IT Sales Experience: 3+ years (Must-have) What’s in it for you: Opportunity to work with 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 with leading entrepreneurs across the globe and make an impact across multiple industries Experience with high value sales in the fast growing space of Artificial Intelligence Opportunity to build a professional network across a diverse set of industries Rapid growth opportunities in terms of compensation and responsibilities as the company grows Experience to work on both product and sevices sales
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 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: 1 - 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.
**12+ years of industry experience and minimum 5-6 years of relevant experience. Responsibility: Development of ASR engine using frameworks like DeepSpeech, Kaldi, wav2letter, Pytorch-Kaldi, CMU Sphinx Assist to define technology required for Speech to Text services besides core engine and to design integration of these technologies. Work on improvement of model's accuracy and guide the team with best practices. Lead a team of 3-5 members Desired experience: Good understanding of machine learning(ML) tools. Should be well versed in classical speech processing methodologies like hidden Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural networks (ANNs), Language modeling, etc. Hands-on experience of current deep learning (DL) techniques like convolutional neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term memory (LSTM), connectionist temporal classification (CTC), etc used for speech processing is essential. The candidate should have hands-on experience with open source tools such as Kaldi, Pytorch-Kaldi. Familiarity with any of the end-to-end ASR tools such as ESPNET or EESEN or Deep Speech Pytorch is desirable. The candidate should have a good understanding of WFSTs as implemented in OpenFST and Kaldi and should be able to modify the WFST decoder as per the application requirements. Experience in techniques used for resolving issues related to accuracy, noise, confidence scoring etc. Ability to implement recipes using scripting languages like bash and perl Ability to develop applications using python, c++, Java
The Product Strategist, will work with our customers to help identify challenges, focus business objectives and translates them into executable plans for our teams. This requires a broad understanding of business strategy, customer and user challenges, and technology. The Product Strategist defines what we are building and why we are building it. They will support the design and development teams in defining how we are executing the product developments, but not necessarily get into product development. Scoping and strategy experience are a must for this role. Role and Responsibilities: Develop and facilitate a strong relationship with our existing or prospective clients/industry Expert in visualizing the end to end solution, and build scalable and flexible products Own the discovery and ideation phase of product development Product roadmap and backlog management Product and feature definition and scoping Designing business models and GTM Designing long-term goals for producing products that sell Information architecture, content modelling, and taxonomy definition User Profile Development & User Flow Documentation Review and sign off on features & outcomes Customer relationship leadership, management, customer advocate, upselling Skills Required: Understanding the lifecycle of digital projects Good understanding of BFSI, Citizen services, eCommerce, Healthcare industry Strong business acumen and conversant with product business models Experience in launching new products Experience in product discovery Experience in leading cross functional teams Working understanding of NLP and AI/ML technologies Hands-on experience in design and product management tools Experience working with a development team using both Agile and waterfall methodologies Comfort
The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes. Requirements: 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks). CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc). Image Processing techniques using OpenCV or other white-box image feature extraction algorithms. End to end deployment of deep learning models.
FaceX currently handles millions of Facial Recongition Requests a month via its API and SDK services.We are looking for talented Image Vision Engineers who can help develop further products for FaceX
Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding Read and keep up with the research in Speech recognition, Machine Learning, Deep Learning Understand and implement research papers to the business problem and build the technology Contribute to applied research and open source community Mentor and guide team members
** Responsibilities:** Translating the state of the art research results into real-world production systems. Lead your project, from feasibility assessment and research through to model development and productionization. Coaching team members and provide training paths, encourage and implement best practices across the team. Have prior experience of leading a computer vision project from scratch designing, planning, data collection and annotation, training, deployment and iteration phases. Required Skill Set : Proficiency in Python/C++, Open CV and deep learning frameworks like Pytorch Experience in scaling the AI capabilities in a high volume, high scalability environment Hands-on experience in CI/CD workflow, version controls and code reviews. Well versed in taking a computer vision project through the planning, data collection + annotation, training, deployment and iteration phases Bachelors, Masters or PhD in computer science, Machine learning or equivalent from a tier 1 college is preferred. Expertise in one or more of the following: object detection, semantic segmentation, OCR and forgery detection Publications and patents in the computer vision field are preferred Desired Experience: 6+ years of professional experience on computer vision and / or deep learning Prior experience of leading an AI product development Experience in scaling the AI capabilities in a high volume, high scalability environment Building & scaling computer vision teams & computer vision infrastructure as well. Design & development of DL algorithm and experimentation to improve existing computer vision systems. Bonus point if prior experience from fintech domain or other product based companies.
This Opportunity will excite someone who can ideate and implement ML solutions which will transform the contract management system. Why Join TVS Next We help our clients re-imagine, design and develop software to make this world a better place. Our missions are bold and hence we are on a constant lookout for people who are exemplary and want to build the future with us. We do not believe in hierarchy hence we have a flat organizational structure that gives our associates prodigious opportunities to grow. Adding to that, our culture is ever-evolving since we have people working from all over the country with us. Ergo, we want our people to be multifaceted." Things you'll need You will be working in an environment that runs mostly on Java based tech stack with a varied spectrum of front end technologies and tools which include Turbogears, Crone Jobs, RobotFramework, Docker and so on. But we are embracing Python for majority of our back-end development. Primary SkillSet Experience: 8+ Years Primary Skills: Strong Java Technical Background which includes Core Java(Multi-Threading , Collections, Concurrency, File Handling) ,J2EE(Spring IOC, Spring AIO)Java Version - JDK-8 Good knowledge in databases like Mongo, PostgreSql Should have knowledge in maven as build tool Preferred Skills: Good hands-on in Data Science , Machine Learning, Neural Networks and NLP- Text Processing Good to have knowledge in TensorFlow/ Keras Knowledge of Python will be added advantage Apply to experience our culture @ work, crack our interviews and be a part of our company’s transformational journey!