
We are looking for an inside sales executive to help us find new sales opportunities and handle phone calls for the same. You will be required to achieve your given targets, collaborate with fellow employees and conduct demos.
What to expect from the role
- Make cold calls regarding inbound and outbound sales.
- Understand how to identify new sales opportunities.
- Work in a fast-paced goal-oriented environment.
- Learn on the job regarding how to conduct demos and sales in general.
- With time this job has scope for growth.
Responsibilities
- Identify new sales opportunities and handle both inbound and outbound calls to follow up.
- Make cold calls and emails to explore sales opportunities.
- Achieve quarterly milestones and close sales.
- Regularly study accounts and identify important players.
- Collaborate with teammates and work towards closing deals.
- Maintain a detailed database with all information on the prospects.
- Conduct offline demos to prospects and seal deals.
Requirements
- Any Degree (Preferably - Engineering Grads)..
- Strong sense of communication and phone skills.
- Well experienced with web presentation tools.

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- Strong Perl development skills.
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Role/Title: ASCP Functional consultant (Exp - 4 to 15 yrs.)
Location: Noida/Pune/Bangalore/Hyderabad/Chennai
Primary Skills/expertise: ASCP, MFG/MRP, MPS, WIP, BOM
Role & Responsibilities
Functional Consultant with min 6-8 years of experience.
Skills –
- Oracle VCP-EBS - Advanced Supply Chain Planning (ASCP, MFG/MRP, MPS Planning Expert)
Detailed Job Description:
- Strong experience in Oracle ASCP, MRP, MPS Planning and Manufacturing
- Good knowledge of Oracle EBS, Mfg., WIP, BOM
- Having done at least one end to end implementation of Oracle EBS Mfg. with primary focus on VCP modules
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- Should have experience in client facing.
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- Must have experience in Creation of different test scripts, doing testing, UAT support
Shiprocket is a logistics platform which connects Indian eCommerce SMBs with logistics players to enable end-to-end solutions.
Our innovative data-backed platform drives logistics efficiency, helps reduce cost, increases sales throughput by reducing RTO and improves post order customer engagement and experience.
Our vision is to power all logistics for the direct commerce market in India including first mile, linehaul, last mile, warehousing, cross border and O2O.
Requirement:
We are looking for a Software Engineer who will develop, record and maintain cutting edge applications for Shiprocket Platform (Frontend)
Skills
- Well versed with writing Functional and Object Oriented Javascript.
- Solid understanding of MVC structure.
- Well versed with AngularJS and it’s best practices.
- Experienced with CSS precompilers (SASS, SCSS, LESS).
- Understands the importance of writing unit test cases.
- Prior experience working with task runners/ bundlers (Gulp, Grunt, Webpack, Rollup, Browserify)
- Strong command of Web standards, cross-browser compatibility & browser performance.
- Experience with Git and Github.
- Active contributions to github & stackoverflow a plus.
- Knowledge of Laravel is a plus
Responsibilities:
-
Plans site design by clarifying goals; designing functionality.
-
Collaborate with the Product Team to develop fully responsive web application.
-
Cooperate with the backend developer in the process of building RESTful APIs.
-
Excellent understanding of JavaScript standards and ability to produce front-end code independently.
-
Work on Bug-fixes and improving web app performance
Additional Responsibilities: • Knowledge of more than one technology • Basics of Architecture and Design fundamentals • Knowledge of Testing tools • Knowledge of agile methodologies • Understanding of Project life cycle activities on development and maintenance projects • Understanding of one or more Estimation methodologies, Knowledge of Quality processes • Basics of business domain to understand the business requirements • Analytical abilities, Strong Technical Skills, Good communication skills • Good understanding of the technology and domain • Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods • Awareness of latest technologies and trends • Excellent problem solving, analytical and debugging skills Technical and Professional Requirements: • Primary skills: Java • Desirables: Java->Microservices, Java->Springboot Preferred Skills: Java Generic Skills: Java->Microservices Java->Springboot Educational Requirements Bachelor of Engineering Service Line Application Development and Maintenance * Location of posting is subject to business requirements.
Job Description:
- Design, implement and deliver custom solutions using the existing robotics framework.
- Debug issues, do root-cause analysis and apply fixes.
- Design and implement tools to facilitate application development and testing.
- Participate in architectural improvements.
- Work with team members in deployment and field testing.
Requirements:
- Bachelor Degree / Masters in Engineering (ECE or CSE preferred)
- Work experience of 3+ years in software programming.
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- Full understanding of software engineering.
- Basic Knowledge of Robot Operating System(ROS) is a plus.
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- Learn and adapt new technologies & skills. Work on projects independently with timely delivery & defect free approach.
Introduction
http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis.
Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls
Your Roles and Responsibilities
Synapsica is looking for a Principal AI Researcher to lead and drive AI based research and development efforts. Ideal candidate should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects and should be excited to work on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions.
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, frequent review of results, generating new ideas, building new models from scratch, publishing papers, automating and optimizing key processes. The role will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. Suitable candidate will collaborate closely both with the medical research team, software developers and AI research scientists. The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.
Primary Responsibilities
- Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products.
- Formulate and design AI capabilities of our stack with special focus on computer vision.
- Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment and relevant automations
- Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap.
- Organize regular reviews and discussions.
- Keep the team up-to-date with latest industrial and research updates.
- Publish research and clinical validation papers
Requirements
- 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
- Prior experience in leading and managing a team.
- Strong problem-solving ability
- Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
- Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
- Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
- Background in publishing research papers and/or patents
- Computer Vision and AI Research background in medical domain will be a plus
- Experience of GPU/DSP/other Multi-core architecture programming
- Effective communication with other project members and project stakeholders
- Detail-oriented, eager to learn, acquire new skills
- Prior Project Management and Team Leadership experience
- Ability to plan work and meet the deadline
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.












