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Ziroh Labs is a Data Security and Privacy Technology startup based in the Bay Area (California), Bangalore, Singapore and Canberra. We focus on cutting edge encryption techniques which include Fully Homomorphic Encryption. The scientific and technical research team at ZirohLabs includes award-winning computer scientists, cryptographers, PhDs and developers in distributed computing, large-scale distributed storage systems, and algorithms.Job Profile:As an Applied Scientist, you will be responsible for implementing cutting edge AI/ML algorithms in Computer Vision and Natural Language Processing problems. You need to collaborate with engineers and researchers to critically analyze, provide insights and visualizations for solving complex problems in Ziroh Labs. You will train AI/ML models in Python and often integrate and deploy in Java, C++, C# etc.Preferred Qualifications: Masters in Data Science, AI/ML or quantitative fields like Mathematics, Statistics, Computer Science, Physics, etc. Experience with Python, Tensorflow, Keras and Pytorch Experience in OpenCV, NLTK, GenSim, spaCy, etc. Mathematical understanding of AI/ML algorithms Contribution to Open-source projects will have higher chances
About us Vernacular.ai is a Series A funded startup, we are an AI-First SaaS business that is driven with a mission to become the leading voice automation/AI platform in the world. Our team has extensive experience in the AI/automation space and through constant reiteration and hard work, we have successfully built our state of the art AI-based voice automation platform - VIVA. Currently, we have deployed our product in enterprise contact centers and are keen to deliver high value. We are a young, entrepreneurial, energetic team that's looking to disrupt the voice domain. We are looking for engineers to join our Machine Learning team to develop and deploy our solutions. This role needs a mix of expertise in machine learning, software engineering and understanding of product development and delivery process. General direction of work involved Spoken Language Understanding and Dialog Management. Language semantics, parsing, and modeling across multiple languages. Speech Recognition across multiple languages. Active Learning, Monitoring and Observability mechanisms for deployments. Responsibilities Build and deliver PoC/UATs products based on our core ML platform. Monitor, diagnose and maintain deployments. Upgrade systems and models whenever needed. Take care of product performance, robustness and reliability. Work at the intersection of delivery and platform team to deliver high quality ML systems. Requirements Comfortable with programming in Python under nix environment. We prefer experience in multiple languages and ability to learn new tools, languages and frameworks quickly. Good understanding of various applied ML concepts and problems. Familiarity with databases, data transformations, pipelines and general fluency in working with data. Understanding of software development life cycle. Previous experience with working in Conversational AI is a plus. Experience with containers and orchestration systems is a plus. Git portfolios and blogs are helpful as they let us better evaluate your work.
High Level Scope of Work : Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process. Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model Gather additional and external data sources to support the AI/ML Model as desired . Support the ML Model and FINE TUNEit to ensure high accuracy all the time. Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions) Required technology expertise : Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models) Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages Strong Database Development knowledge using SQL and PL/SQL Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus) Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload. Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI) Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry Have at least 5+ Years EXP in Retail Industry and Customer Focus Business. Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly. Qualifications Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science Certified as DATA SCIENTIST or MACHINE LEARNING Expert.
The duration of this internship is _2___ months.Igeeks is India's no.1 internship platform with 5000+ internships in Engineering, MBA, Commerce & Management, and other streams. Igeeks is here to help bridge the gap between a students’ classroom environment and their workplace atmosphere.Igeeks provide internship training on latest cutting edge technologies in the industry for easy placements of students. We provide hands-on experience on our real time projects to expose the students on the real world challenges and industry standards of implementing a project.Igeeks provides uniquely designed learning experiences with certified internship program in india for engineering students.As per University standards igeeks technologies offering internships For B.E Students (ECE / TCE / EEE / CSE / ISE / MECH) . Registrations are already started for Intern in Embedded With IOT , Intern in IOT , Intern in JAVA , Intern in Python ML. Interested students can contact us Internship will be conducted as per industry standards and it will be completely hands on training.INTERNSHIP/ INDUSTRIAL TRAININGATTENTION!!! BE 6TH AND 7TH SEMESTER STUDENTSFINAL YEAR INTERNSHIP FOR CS/EC/TCE/IS/MECH/IT/EEE/MCA/DIPLOMA /BCA ONBig Data Hadoop/Python Data Science ML/Big Data Spark/EMBEDDED SYSYTEMS/IOT/ARDUINO/RASPBERRY PI.DURATION 4 WEEKS.Internship cum Training program schedule:10 th June 2021 BENEFITS:TRAINING FROM INDUSTRY EXPERTSWORK ON REAL TIME PROJECTSCOMPANY CERTIFICATIONHANDS ON EXPERIENCEPROJECT REPORT MATERIALS.MINI PROJECT8TH SEM IEEE PROJECT ASSISTANCERegistration:Registration started from 08/05/2021How to register?Please fill below form :http://www.igeekstechnologies.com
Associate Director – Data ScienceTiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.About the Role:As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.• Work closely with internal teams and client stakeholders to design analytical approaches tosolve business problems• Develop and enhance a broad range of cutting-edge data analytics and machine learningproblems across a variety of industries.• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &versioning, documentation, scaling, deployment, monitoring and maintenance etc.• Lead a team of data scientists and engineers to embed AI and analytics into the clientbusiness decision processes.Desired Skills:• High level of proficiency in a structured programming language, e.g. Python, R.• Experience designing data science solutions to business problems• Deep understanding of ML algorithms for common use cases in both structured andunstructured data ecosystems.• Comfortable with large scale data processing and distributed computing• Excellent written and verbal communication skills• 10+ years exp of which 8 years of relevant data science experience including hands-onprogramming.Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
JOB DESCRIPTION We're looking for Head, Machine learning (3+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this is a head team member role and carries significant equity with it. We need someone who can lead the Machine learning function with both vision and hands-on work and is excited to use this area to develop B2B products for enterprise productivity. RESPONSIBILITIES • Collaborate with cross-functional team members to develop software libraries, tools, and methodologies as critical components of our computation platforms. • Also responsible for software profiling, performance tuning and analysis, and other general software engineering tasks. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. REQUIREMENTS • Proficient in Python with sound knowledge in the machine learning libraries namely Scikit-learn, Numpy, Pandas, NLTK etc. • Experience with Deep Learning tools like TensorFlow, Keras, PyTorch etc and integrating using open source learning platforms is required. • Prior experience in building a fully functional Machine Learning Algorithm in the text analysis and multi-class classification with promising results. • Expert data scientist with professionalism in text classification, text analytics, regression and other machine learning algorithms. • Solid grasp of mathematical principles behind machine learning algorithms. • Proficient in using version control tools (Git, Mercurial etc). • Prior experience of using big data technologies like Hadoop, Spark etc. • Semantic Web experience is a big plus. • Should be from tier 1 colleges (IIT’s / NIT’s and BITS).
Tradeindia is looking for Machine Learning Engineers to join its engineering team. The ideal candidate will have industry experience working on a recommendation engine, a range of classification and optimization problems e.g.: Collaborative filtering/recommendation User journey prediction Search ranking Text/ sentiment classification or spam detection Predictive analytics The position will involve taking Algorithm and Programming skills and applying them to some of the most exciting and massive SMEs user data. Qualification: M.tech, B.tech, M.C.A. Location: New Delhi About the company: Launched in the year 1996 to offer the Indian Business community a platform to promote themselves globally tradeindia.com has created a niche as India's largest B2B marketplace, offering comprehensive business solutions to the Domestic and Global Business Community through its wide array of online services, directory services and facilitation of trade promotional events. Our portal is an ideal forum for buyers and sellers across the globe to interact and conduct business smoothly and effectively. With an unmatched expertize in data acquisition and online promotion, Tradeindia subsumes a huge number of company profiles and product catalogs under 2,256 different product categories and sub-categories. It is well promoted on all major search engines and receives an average of 20.5 million hits per month. Tradeindia is maintained and promoted by INFOCOM NETWORK LTD. Today we have reached a database of 47,66,674 registered users (Jan 2019), and the company is growing on a titanic scale with a considerable amount of new users joining/registering everyday, under the innovative vision and guidance of Mr. Bikky Khosla, CEO.
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
FarmGuide is a data driven tech startup aiming towards digitizing the periodic processes in place and bringing information symmetry in agriculture supply chain through transparent, dynamic & interactive software solutions. We, at FarmGuide (https://angel.co/farmguide) help Government in relevant and efficient policy making by ensuring seamless flow of information between stakeholders.Job Description :We are looking for individuals who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out the data science team and looking to hire across levels.- Solving complex problems in the agri-tech sector, which are long-standing open problems at the national level.- Applying computer vision techniques to satellite imagery to deduce artefacts of interest.- Applying various machine learning techniques to digitize existing physical corpus of knowledge in the sector.Key Responsibilities :- Develop computer vision algorithms for production use on satellite and aerial imagery- Implement models and data pipelines to analyse terabytes of data.- Deploy built models in production environment.- Develop tools to assess algorithm accuracy- Implement algorithms at scale in the commercial cloudSkills Required :- B.Tech/ M.Tech in CS or other related fields such as EE or MCA from IIT/NIT/BITS but not compulsory. - Demonstrable interest in Machine Learning and Computer Vision, such as coursework, open-source contribution, etc.- Experience with digital image processing techniques - Familiarity/Experience with geospatial, planetary, or astronomical datasets is valuable- Experience in writing algorithms to manipulate geospatial data- Hands-on knowledge of GDAL or open-source GIS tools is a plus- Familiarity with cloud systems (AWS/Google Cloud) and cloud infrastructure is a plus- Experience with high performance or large scale computing infrastructure might be helpful- Coding ability in R or Python. - Self-directed team player who thrives in a continually changing environmentWhat is on offer :- High impact role in a young start up with colleagues from IITs and other Tier 1 colleges- Chance to work on the cutting edge of ML (yes, we do train Neural Nets on GPUs) - Lots of freedom in terms of the work you do and how you do it - Flexible timings - Best start-up salary in industry with additional tax benefits