Video Editor

Job Summary:

Professional in charge of designing, testing, and optimizing an automated systems in various mechanical and digital environments to help businesses improve processes, save costs, and achieve better outcomes. will be responsible for conducting research, developing new products, and improving existing products to meet customer needs and stay ahead of the competition.

Key Responsibilities:

Automation at manufacturing processes

 Study existing manufacturing processes

 Find out processes to automate them to achieve consistent result, desire quality & improve production

Robotic Automation

 Study & install collaborative robots to automate Manufacturing processes

 Setup hardware communication like power supply modules, PLC, SMPS, Relays, Safety devices, PCBs with Robots

Software communication

 Understand communication software’s & control software’s of respective automation systems & robots & configure it

Software for development

 Design hardware setup at Rhino, AutoCAD, Catia etc

Programming

 Programming at C++ & Java

 Do the programming at robotic software’s like Dobot Blocky, Kuka programming, Universal etc

 Autonomous robotic programming Documentation:

 All the programs has to be documented & saved at server

 Documentation has to be done for updated SOPs & Machine developments

 Prepare data for the daily, weekly & monthly reports

 Coordinate with the production team and document issue/ suggestions raise

Innovative ideas

 Has to think differently & should have well connected with the new ideas in the market to improve our processes

Qualifications

 Bachelor of Engineering from an Automation or Robotic field

Technical Skill

 C++

 Java

Soft Skills:

 Strong problem-solving ability to work under tight deadlines.

 Team-oriented with good communication skills.

• To bid on portals like Upwork, Guru, Freelancer, PPH, etc. Sending Proposal bid to grab new business opportunities Coordinate development of detailed technical proposals with the technical team.
• Must have prior Lead Generation experience on Web and Mobile Applications.
• Client Handling (Managing Existing clients and acquiring new clients) interaction clients to analyze the project requirements.
• Bidding and New business generation on Bidding Platforms

Field Sales Representative - AWS Sales Singapore/SEA

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 technologies such as Anthos by Google Cloud and AWS Sagemaker just to name a few. 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.

Your bucket of undertakings

Responsibilities:

1. Execute business development plans to ensure that opportunity creation and pipeline goals are met and exceeded while working against KPIs and metrics.

2. Source, identify, and qualify opportunities within potential customers:

Prospect new opportunities using a combination of phone, email, social media, and direct mail to help build our sales pipeline by connecting with prospective customers, understanding their unique needs, identifying the best way to position Searce Inc and her value propositions, evaluate if there is a good fit, schedule meetings and bring prospects to successful sales closure.

3. Collaborate and nurture strategic engagement with Sales and Marketing for outbound messaging and demand generation programs.

4. Source and be able to organize large contact data sets. Use data to identify key target prospects.

5. Work closely with Amazon Web Services on target account lists and find creative ways to break into competitive accounts. Your relationships with customers are crucial in helping Searce futurify businesses and bringing our product portfolio into companies both big and small around the world.

6. Follow up and track closely to assigned targets while ensuring that integrity and bringing positive business outcomes to the clients are not compromised.

So, what are we hunting for ?

● 8-10 years of technology sales and business development experience, particularly within the AWS ecosystem.

● Experience managing and developing a pipeline of qualified leads and opportunities within software, SaaS, Analytics, BPM or IT products or her related services.

● Understanding or previous experience working within the Public Cloud ecosystem (Amazon Web Services, Google Cloud Platform, etc. - and their related services) is required.

● Consistent record of meeting and exceeding sales targets.

● Highly effective verbal and written communication skills in English.

● True passion for sales and technology.

● Self-starter with tons of energy, passion, humor, and enthusiasm.

● Critical problem-solving skills to handle customer questions and overcome objections.

● A great sense of humor and enjoys having fun with colleagues.

● Passionate, persuasive and able to articulate the value of the  Cloud Ecosystem to instill a sense of interest and credibility for Searce and oneself.

● Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.

● Strong service attitude and a commitment to quality.

● Highly organized and efficient with strong work ethics

● Confident working with others to inspire a high-quality standard

Education, Experience, etc.

1. Is Education overrated? Yes. We believe so.

a. However there is no way to locate you otherwise. So we might look for a graduate degree in engineering with a sales mindset or you started your business at 12 and sold it post high school. And the latter is better. We will find you faster if you specify the latter in some manner. :)

2. Comfortable working in an all-hands start-up environment - owning a project, wearing many hats to get the job done, attention to detail and strong follow-through.

3. Strong work ethic, track record of high productivity and sales achievement.

How do 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.

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.