About the job **NOTE** We are looking for a Python Developer with multi-threading & multi-processing experience. If you do not have this experience, please DO NOT APPLY. Background Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-) You will be responsible for: Building Python scripts to deploy our AI components into pipeline and production Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture Managing our daily pipeline on both on-premise servers and AWS Working closely with the AI engineering, backend and frontend teams You should have the following qualities: Deep expertise in Python including: Multiprocessing / multithreaded applications Class-based inheritance and modules DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend) Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including: Optimal multithreading / multiprocessing strategies Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing Experience in creating soft real-time processing tasks is a plus Expertise in Docker-based virtualization including: Creating & maintaining custom Docker images Deployment of Docker images on cloud and on-premise services Experience with maintaining cloud applications in AWS environments Experience in deploying machine learning algorithms into production (e.g. tensorflow, keras, opencv, etc) is a plus Experience with image processing in python is a plus (e.g. openCV, Pillow, etc) Experience with running Nvidia GPU / CUDA-based tasks is a plus Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Required: Python, AWS, Docker, Multiprocessing / multithreaded programming, python classes / OOP techniques, pymongo, sqlalchemy. Optional: AI, Machine Learning, Tensorflow, deploying Nvidia GPU / CUDA programs Who Should Apply: If you have the right experience, regardless of your seniority, please apply. Salary commensurate with experience. Work Experience: 2 years to 10 years About Sizzle Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Using patented technology, Sizzle works with streamers, esports leagues, and gaming publishers to deliver compelling highlights to their fans. Sizzle is available at www.sizzle.gg.
About the Role- Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale. Reason to Join- An opportunity for innovators, problem solvers & learners. Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package. Requiremets and Responsibilities- (please read carefully before applying) The overall experience of 3-6 years in Java/Python Framework and Machine Learning. Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API. Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing. Experience in highly scalable tools like Kafka, Spark, Aerospike, etc. Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems. Design, implement, and deploy highly scalable and reliable systems. Troubleshoot Solr indexing process and querying engine. Bachelors or Masters in Computer Science from Tier 1 Institutions
4+ year experience in advanced analytics, model building, statistical modeling,• Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as Python and SQL other programming/scripting languages to translate data into business decisions/results• Be data-driven and outcome-focused• Must have good business judgment with demonstrated ability to think creatively and strategically• Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work• Learns continuously; Seeks out knowledge, ideas and feedback.• Looks for opportunities to build owns skills, knowledge and expertise.• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)• Experience in risk and credit score domains preferred• Comfortable with ambiguity and frequent context-switching in a fast-paced environment
- Be the AI champion in the team, own the AI model’s success from concept level toproduction deployment and successful optimization- Build/Enhance NLP/ML models for various components within our NLP stack- Scaling/Optimizing AI models for various verticals, languages, and clients- Bring in a greater degree of reinforcement learning capability to all AI components inthe platform- Stay current with the latest research in AI space, relevant to our platform, and leadthe effort to experiment/apply them to help constantly improve the platformFor this role, we value People who have:- Experience level of 3 to 5 years as Data Scientist- Proven experience of working on NLP problems and working knowledge of varioustools/frameworks used for building solutions in NLP space- Must have experience of building NLP models from concept level, to productiondeployment and post-deployment optimizations- Strong problem-solving skills, data structures, and algorithms- Experience with distributed systems handling a large amount of data- Excellent coding skills in any one/more among Python, R, Ruby- B.Tech/BE /M. Tech/ Ph.D. in Computer Science or equivalent from a reputed college
You excel at software engineering and programming in Python and SQL for production systems. You have a diverse range of data skills including experimentation, statistics, and machine learning, andhave used these skills to inform business decisions. You have a keen eye for detail and a healthy skepticism for data before relying upon it. You are highly entrepreneurial. You teach yourself new skills. You take the initiative to solve problemsbefore they arise. You know that startups are a team sport. You listen to others, speak your mind, and ask the rightquestions. You are a great collaborator and teacher. You are driven by making an impact on customers’ lives.
Who are we and What do we do? 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. How the team looks like? Coming out of the silos and working with complete visibility of the end-to-end product focusing on commerce. Flexibility to work on any areas of your choice Machine learning/Business Analytics/Development in Tech terms - Building and managing robust Insight based Platform, Efficient Data pipelines/ streaming systems, integrated user interfaces. Be part of the small and high impacting team Opportunity to take bigger roles/responsibilities at early stage Be part of re-designing the whole Business Intelligence products to make it more optimized and powerful and solve the business problems for commerce Good opportunities to use your Data Science, Machine/Deep learning skills on solving practical problems What will you be doing? Responsible for design, architecture, and delivery of a feature or component/product with the highest quality. Driving innovations in the platform constantly & remaining ahead of the curve Collaborates effectively with cross functional teams to deliver end-to-end products & features Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team. Analyze and extract relevant information from large amounts of data to help automate and optimize key processes. Design, development, evaluate and deploy innovative and highly scalable models for predictive learning. Research and implement novel machine learning and statistical approaches. Work closely with software engineering teams to drive real-time model implementations and new feature creations. Work closely with business owners and operations staff to optimize various business operations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Mentors/coaches engineers to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team. What do we expect from you? A BS/MS/PhD in Computer Science or Machine learning or Operational research or Statistics or in a highly quantitative field 8+ years of hands-on experience in applied Machine Learning, Big data and products An ideal candidate should have Strong grasp of depth and breadth of knowledge in machine learning, data mining and data analytics concept as well as executions Strong Problem-solving ability Strong knowledge of scientific programming in scripting languages like Python Experience in designing and implementing information retrieval, web mining and neural network and other classification algorithms. Big thinker that can take broad visions and concepts and develop structured plans, actions and measurable metrics and then execute those plans. Expertise in using Python as well as with Spark ML, scikit-learn, Tensorflow or similar machine/Deep learning open-source software libraries Superior organization, communication, interpersonal and leadership skills Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace Must be a self-starter who can work well with minimal guidance and in fluid environment Must be excited by challenges surrounding the development of massively scalable & distributed system Agility and ability to adapt quickly to changing requirements and scope and priorities Nice to have skills Experience of online Commerce (Retail/CPG/Restaurants/Hospitality) domain Experience of building products that are powered by data & insights Experience in Machine learning deployment and hands on knowledge of Kubeflow/ML-flow Experience of working on massively large-scale data Experience in data structures & algorithms skills
Who are we and What do we do?Hypersonix Inc. is an Intel funded, fast-growing AI startup founded by established business leaders and fortified by the support of notable clients and investors. hX is leveraging AI advancements in NLP, Machine learning, Intelligence Automation to enable real-time decisioning for marketing & sales. We are on a mission to disrupt a trillion$ global commerce market How the team looks like?• Coming out of the silos and working with complete visibility of the end-to-end product focusing on commerce. • Flexibility to work on any areas of your choice Machine learning/Business Analytics/Development in Tech terms - Building and managing robust Insight based Platform, Efficient Data pipelines/ streaming systems, integrated user interfaces.• Be part of the small and high impacting team• Opportunity to take bigger roles/responsibilities at early stage• Be part of re-designing the whole Business Intelligence products to make it more optimized and powerful and solve the business problems for commerce• Good opportunities to use your Data Science, Machine/Deep learning skills on solving practical problemsWhat will you be doing?• Responsible for design, architecture, and delivery of a feature or component/product with the highest quality.• Driving innovations in the platform constantly & remaining ahead of the curve• Collaborates effectively with cross functional teams to deliver end-to-end products & features• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements• Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team.• Analyze and extract relevant information from large amounts of data to help automate and optimize key processes• Design, development, evaluate and deploy innovative and highly scalable models for predictive learning• Research and implement novel machine learning and statistical approaches• Work closely with software engineering teams to drive real-time model implementations and new feature creations• Work closely with business owners and operations staff to optimize various business operations• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation• Mentors/coaches engineers to facilitate their development and provide technical leadership to them• Rises above detail to see broader issues and implications for whole product/team.What do we expect from you?• A BS/MS/PhD in Computer Science or Machine learning or Operational research or Statistics or in a highly quantitative field
Job Roles & Responsibilities Designing and developing machine learning and deep learning systems Running machine learning tests and experiments Implementing appropriate ML algorithms Study and transform data science prototypes Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Skills Required : Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Qualification : BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
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
Proficient in R and Python Work experience 1+ years with at least 6 months working with Python Prior experience with building ML models Prior experience with SQL Knowledge of statistical techniques Experience with working on Spatial Data will be an added advantage
3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary. Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers) Strong problem solving skills and the ability to articulate really well. Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production. Strong working knowledge of python ML stack is very important here. Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work. Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code. Structured ML techniques for candidates: GBM XgBoost Random Forest Neural Net Logistic Regression
Who we are We at Agara believe voice conversations should be without friction, without barriers, and without frustration. Pushing the boundaries of deep learning, we are building ubiquitous, pleasant, and meaningful machine-led voice conversations accessible to all. Agara’s AI voice agents talk to customers around the globe. Most of our work involves building conversational AI systems, using speech technology and natural language processing. What you’ll do Design, build and train robust deep learning NLP systems that power Agara’s real time conversations across multiple use cases and industries. You will work closely with a team of machine learning scientists and engineers to train and productionize NLU and NLG models. Research and experimentation will be an integral part of your role, along with focus on publishing and patenting. We require that you have B.Tech, M.Tech or Ph.D in Computer Science or equivalent work experience Relevant work experience of 6+ years Enthusiastic to work in a fast-paced environment, along with machine learning scientists and engineers Comfortable with at least one deep learning framework (PyTorch / Tensorflow) Previous extensive experience building deep learning systems for real world NLU and NLG tasks such as classification, language modeling, question answering Passionate about innovation and pushing the state of art in NLP Excellent programming skills in Python Bonus if you have Publications in top-tier journals/conferences such as ACL, EMNLP, NAACL, NeurIPS. Previous experience building conversational AI systems What we offer Apart from all the general benefits of best in industry compensation, benefits and perks, we are proud of our great talent, great work and great culture. We believe in mutual trust, flexibility and transparency.
Who we are We at Agara believe voice conversations should be without friction, without barriers, and without frustration. Pushing the boundaries of deep learning, we are building ubiquitous, pleasant, and meaningful machine-led voice conversations accessible to all. Agara’s AI voice agents talk to customers around the globe. Most of our work involves building conversational AI systems, using speech technology and natural language processing. What you’ll do Design, build and train robust deep learning speech systems that power Agara’s real time conversations across languages, accents, noise environments and voice interfaces. You will work closely with a team of machine learning scientists and engineers to train and productionize speech models. Applied research and experimentation will be an integral part of your role. We require that you have B.Tech, M.Tech or Ph.D in Computer Science or equivalent work experience Relevant work experience of 6+ years Enthusiastic to work in a fast-paced environment, along with machine learning scientists and engineers Comfortable with at least one deep learning framework (PyTorch / Tensorflow) Previous extensive experience building real world speech systems such as speech recognition, text to speech, speaker diarization Passionate about innovation and pushing the state of art in speech Excellent programming skills in Python Bonus if you have Publications in top-tier journals/conferences such as ICASSP, NeurIPS, PAMI, InterSpeech. Previous experience building voice conversational AI systems Experience working with textual NLP systems What we offer Apart from all the general benefits of best in industry compensation, benefits, and perks, we are proud of our great talent, great work, and great culture. We believe in mutual trust, flexibility, and transparency.
Strong Programming skills: 4+ years experience of Programming using Python, R, SQL, Unix Data modeling: 5 years of experience of Able to do design data models based on the functional requirements Big Data exposure: 3 Years of experience of Worked in Big data projects extensively on Spark SQL or related backend items
Hypersonix.ai - Data ScientistAs a Data Scientist with Hypersonix (https://hypersonix.ai/), you will play a key role in translating data into insights for our clients. You will design, develop and implement processes and framework into our AI- Platform, that will help our clients make sense of the data they generate, and consume the insights to make informed decisions. Role – Analytics Job Responsibilities Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution. Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impact Deconstruct problems and goals to form a clear picture for hypothesis generation and use best practices around decision science approaches and technology to solve business challenges; Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making; Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations. Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Good thought leadership & ability to structure & solve business problems, innovating, where required Must have the ability to adapt to changing business priorities in a fast-paced business environment Technical Expertise Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data Should have a very good understanding of data structures and algorithms Experience leading and working independently on end-to-end projects in a fast-paced environment is strongly preferred Advanced knowledge of SQL/redshift with proficiency with Python/R Sound knowledge of advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients
JD..SAP ABAP S4 HANA CONSULTANT Design thinking to really understand the business problem Understanding new ways to deliver (agile, DT) Being able to do a functional design across S/4HANA and SCP). An understanding of the possibilities around automation/RPA (which should include UIPath, Blueprism, Contextor) and how these can be identified and embedded in business processes Following on from this, the same is true for AI and ML: What is available in SAP standard, how can these be enhanced/developed further, how these technologies can be embedded in the business process. There is no point in understanding the standard process, or the AI and ML components, we will need a new type of hybrid SAP practitioner.
UI/UX Designer : 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.) Roles and Responsibilities : Collaborate with engineers and product managers to gather user requirements. Use various ideation methods like brainstorming to solve the user’s needs to add value to the company. Explore various design approaches to solve specific user problems. Showcase design ideas through sitemaps, storyboards, and process flows. Implement the latest design innovations to ensure that the product is in accordance with the cutting-edge technology. Define user task flows and interaction models. Create a cohesive style guide to ensure consistent design language is followed across the product. Conduct user research and create user Personas Conduct customer and competitor analysis. Create prototypes, wireframes, and mock-ups to demonstrate the functioning and layout of the product. Optimises UI designs and tests for intuitiveness and user-centeredness. Conduct usability testing to identify gaps in design and see if they can be further improved. Requirements 3-5 years experience in SaaS enterprise. Strong applied skills for Figma and design tools. Understanding of HTML and CSS in accordance with building SEO-friendly and responsive web applications Have good interpersonal and communication skills Key Skills UI/UX Designers : Artistic eye for design Ability to think creatively Mathematical aptitude and strong problem-solving skills Excellent organisational, time and project management skills Accuracy and attention to detail An understanding of the latest trends and their role in a commercial environment Self-development skills to keep up to date with fast-changing trends Professional approach to time, costs and deadlines