Quality Analyst Tester

We are hiring Sales Executives for lead generation and client handling. Candidates should have good communication skills and basic computer knowledge. Freshers can also apply. Attractive incentives and growth opportunities available.

Tech Support Engineer Job Description Technical Support Engineer plays a crucial role in ensuring the smooth operation of technical systems, providing expert-level support to customers, and contributing to the improvement of products and services through technical expertise and leadership. To meet the qualifications specified: 1. Educational Background: A degree in a relevant field, such as Computer Science, Information Technology, or a related discipline, is a requirement. 2. Experience: While not explicitly mandatory, experience in fields like Computer Science or IT is considered advantageous. It may provide a practical understanding of the domain that can be beneficial in this role. 3. Personal Traits: Being a natural helper and enjoying assisting people with their computer issues are essential qualities. Additionally, the ability to simplify and effectively communicate technical details to individuals with varying levels of technical knowledge is a significant advantage. If you possess the educational qualification, experience, and the mentioned traits, it's likely you fit the criteria for this role. Demonstrating your passion for helping people with technical issues and your ability to communicate complex information in an understandable manner during the application. Roles and Responsibilities Technical Expertise: Provide advanced technical support to customers and internal teams. Troubleshoot complex technical issues related to software, hardware, or network systems. Perform root cause analysis for recurring issues and implement permanent resolutions. Collaborate with development teams to escalate and resolve product issues. Maintain up-to-date knowledge of new technologies and industry trends. Customer Support: Act as a point of escalation for critical customer issues. Communicate effectively with customers to understand their technical concerns. Manage and prioritize support tickets and customer inquiries. Ensure timely resolution of customer issues according to service level agreements (SLAs). Provide training and guidance to junior support engineers. Documentation and Reporting: Document troubleshooting steps and solutions for knowledge base articles. Create and maintain technical documentation, including FAQs and user guides. Generate regular reports on support activities, issue trends, and resolution metrics. Quality Assurance: Conduct quality assurance testing for new software releases or patches. Validate bug fixes and ensure they meet customer requirements. Perform regression testing to identify potential issues before deployment. Tech Support Engineer Job Description Communication Skills: Communicate technical information effectively to both technical and non-technical audiences. Provide regular updates to customers and stakeholders on issue status and resolution. Participate in customer-facing meetings and conference calls as a technical expert. Troubleshooting and Problem-Solving: Utilize diagnostic tools and resources to analyze technical issues. Develop creative solutions to complex technical problems. Implement temporary workarounds and permanent fixes as necessary. Compliance and Security: Ensure compliance with data protection regulations and security best practices. Follow established protocols for handling sensitive customer information. Required Skill Set: MS Office, Windows Troubleshooting, ITIL, Basic Networking, Understanding on EDR , DLP Tools , Firewalls , VMware/ Citrix workspace Client setup troubleshooting , Active Directory, Basic Concepts of O365 Exchange admin, Microsoft MDM & Intune, Firewall’s, DLP, EDR, Proxy concepts, Fundamental understanding of ITSM, ITIL, or CMDB.  

 B.S. or above degree in Computer Science or related technical field  Work ethics: As a company and team we expect you to be an expert in your field, within our team – operating alone and as a project team. Projects, tasks, customer scenarios can change each day, so we expect you to be dynamic and self-managed.  As a team, we “lean-in” to support our teammates where and when possible.  The ability to work alone and as a team.  At least 3 years’ experience in an international Enterprise-level customer facing role, ideally in Enterprise Support or as a Technical Consultant.  Proven troubleshooting and problem-solving skills. o Note: we’d appreciate some brief examples to review during interview stages, including examples relating to Python.  Excellent level English, experience of working with Enterprise customers. Be comfortable with delivering presentations to larger audiences  Enterprise infrastructure solution architecture experience o Good knowledge of OAuth 2.0, OpenID Connect and SAML security standards with global identity providers including AADS, ADFS, GoogleID, OKTA , PING o Azure platform experience with related certifications o At least basic knowledge of Python. o Remote software distribution technologies like SCCM/ARD etc. desirable o Windows Application packaging and deployment experience desirable o Windows Virtualisation technologies experience including Citrix, Windows Remote Desktop, App-V, Hyper-V VMware Horizon, Windows Virtual Desktop desirable

About TensorIoT

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Minimum Requirements: 

• Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
• Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
• Hands-on experience in MLOps (model deployment, maintenance)
• Hands-on experience with Docker.
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning  
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients.

Preferred Qualifications: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Some experience in creating cloud-native technologies, and microservices design. 
• Published scientific papers in the relevant domain of work. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

• Deep understanding of Django and DRF
• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• Improve functionality of existing systems
• Implement security and data protection solutions
• Assess and prioritize feature requests
• Coordinate with internal teams to understand user requirements and provide technical solutions

• No day is the same - you will create technical designs that support varying client requirements
• You'll design and develop full-stack web applications using the latest web technologies, primarily Python and Django
• Write code/unit tests and be part of the test-driven development environment
• Leverage your skills in industry-standard tools to deliver weekly code releases
• You'll work in a no silos environment, frequently collaborating with global teams and roles across the organization

Who you are:

• 7+ years of experience developing great web applications
• You can build products from scratch
• You have expertise in the Django backend framework
• You are fluent in the Python language
• You have dabbled in any one of these front-end frameworks - Angular, React, Vue
• You understand when to use NoSQL vs. relational database
• you understand reporting/dashboards framework
• You are comfortable working up and down the stack
• You are able to convert ideas into designs and build them out
• Benefit if you have worked with payment gateways such as visa, Mastercard, etc.
  
  

Expereince : 2-4 yrs experience

• Experience in woocommerce customization
• Experience in theme and plugin customization
• Knowledge of Jquery & Javascript is an added advantage.
• Hands on experience with any E-commerce website will be an advantage

• Very strong knowledge in Embedded C including
• Data structures
• Function pointers
• Bitwise operations
• Experience with Finite State Machine (FSM) software design
• Required experience in AVR microcontrollers and projects to demonstrate it
• Familiarity with ARM 32 bit microcontrollers (Cortex M or any other)
• Required experience with common communication protocols like SPI, UART, I2C etc.
• Comfortable with reading datasheets and basic hardware schematics
• Comfortable with linux development environment including the use of GCC, gdb, makefile

Soft Skills

• Good communication skills
• Self-driven
• Passion for embedded engineering