Bigdata QA Lead

As the Senior Executive-Account Manager, you will be responsible for developing, implementing, and optimizing multi-channel lead generation campaigns to build a robust pipeline for our sales team. You will demonstrate market understanding of the Talent/Capability Development (learning/e-learning, custom learning, localization, and translation) services/produts and markets and will be adept at customer engagement. This role demands a candidate with analytical prowess to interpret data and drive decisions, coupled with strong collaboration skills to work effectively with sales and marketing.

Roles &Responsbilities -

•  Lead Generation Strategy Development: Define and implement comprehensive lead generation strategies encompassing learning/e-learning, localisation, and translation services, aligning with overall sales and marketing objectives. This includes identifying target audiences, understanding their needs, and determining the most effective channels to reach them.

•    Multi-Channel Campaign Management: Plan, execute, and optimize lead generation campaigns across various online and offline channels. This includes digital marketing (SEO/SEM, content marketing, social media marketing, email marketing, webinars, online advertising) and outbound activities (targeted outreach, industry events, networking).

•    Content Strategy Collaboration: Work closely with the marketing team to develop compelling content that attracts and converts target prospects for learning/e-learning, localisation, and translation products/services.

•    Marketing Automation and CRM Management: Utilize marketing automation platforms and CRM systems to manage lead generation processes, track campaign performance, nurture leads, and ensure seamless handoff to the sales team.

•    Performance Monitoring and Analysis: Track, measure, and analyze the performance of lead generation campaigns using relevant metrics. Provide regular reports and insights to the sales and marketing teams, recommending optimizations for improved results.

•    Collaboration with Sales: Work closely with the Sales Manager and sales team to understand their needs, ensure lead quality, and optimize the lead-to-opportunity conversion process for learning/e-learning, localisation, and translation products/services.

•    Market Research and Competitive Analysis: Conduct ongoing market research to identify new lead generation opportunities, understand industry trends in learning/e-learning, localisation, and translation, and analyze competitor activities.

•    Budget Management: Manage the lead generation budget effectively, ensuring optimal ROI on marketing and outreach activities.

•    Vendor Management: Manage relationships with external vendors or agencies supporting lead generation efforts.

•    Staying Updated: Keep abreast of the latest trends and best practices in lead generation, digital marketing, and sales enablement for learning/e-learning, localisation, and translation product/service-based industries.

Bachelor's degree in Marketing, Business Administration, or a related field.

Qualification and Experience -

•    Minimum of 8-10 years of experience in pre-sales/lead generation, preferably in the learning/e-learning, localisation, and translation industry or a related technology sector.

•    Proven track record of success in developing and executing lead generation strategies, preferably with experience in the B2B sector.

•    Experience in generating leads for technology products, SaaS solutions, or service-based offerings is highly desirable.

•    Familiarity with the learning/e-learning, localisation, and translation industries is a significant advantage.

•    Strong understanding of digital marketing principles and channels.

•    Experience with marketing automation platforms and CRM systems.

•    Excellent analytical skills and the ability to interpret data to drive decisions.

•    Strong project management and organizational skills.

•    Excellent written and verbal communication skills.

•    Ability to work independently and collaboratively within a team environment.

•    Proactive, results-oriented, and data-driven approach. 

•   Willingness to travel as required by business.

•   Deep understanding of AGILE methodologies and extensive experience working within a learning, educational technology, or complex content delivery environment.

A Production Support Engineer ensures the smooth operation of software applications and IT systems in a production environment. Here’s a breakdown of the role:

Key Responsibilities

• Monitoring System Performance: Continuously track application health and resolve performance issues.
• Incident Management: Diagnose and fix software failures, collaborating with developers and system administrators.
• Troubleshooting & Debugging: Analyze logs, use diagnostic tools, and implement solutions to improve system reliability.
• Documentation & Reporting: Maintain records of system issues, resolutions, and process improvements.
• Collaboration: Work with cross-functional teams to enhance system efficiency and reduce downtime.
• Process Optimization: Suggest improvements to reduce production costs and enhance system stability.

Required Skills

• Strong knowledge of SQL, UNIX/Linux, Java, Oracle, and Splunk.
• Experience in incident management and debugging.
• Ability to analyze system failures and optimize performance.
• Good communication and problem-solving skills.

Requirement:

Position: Senior Python developer/c++

Location: Noida

Experience: 5 to 7 years

CTC: As per company standards

NP: Immediate to 15 days

Job Responsibilities

1.    Develop backend for applications in eCommerce / insurance/wealth management businesses

2.    Design technically sound systems and deliver results in a fast manner

3.    Building highly performant applications setting top standards in respective industries

 Basic qualifications

1.     5 -7 years experience building highly performant applications in Python / C++

2.      Good grasp of data structures and proficiency in problem-solving

3.      Knowledge of design patterns

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.

• Backend development along with team management
• Hands on experience in product development 
• Preferred candidates from Fintech and Banking sectors
• Exp in Python / Java slong with databases like MySQL, NoSQL, etc
• Knowledge of Agile methodology

About The Role:

Our dream Digital Marketer will be responsible for executing a variety of tasks, including keeping our paid channels up-to-date and running plenty of experiments. This role demands a lot of research and frequent troubleshooting. You will need strong problem solving skills in an area where answers are rarely obvious!
Typical Daily Duties:

• Manage active campaigns, test and optimise
• Conduct keyword research and create audiences for targeting
• Work on the copy and creatives for the ads independently or in conjunction with our designers (e.g. image ads, banners, videos, etc.)
• Track KPIs to assess performance and pinpoint potential issues
• Find new opportunities to improve results
• Stay up to date with PPC (Pay per click)

Requirements

• Keyword Analysis
• On-Page Optimization
• Off Page Optimization
• SEO Tools
• Site Analysis
• Google Search Console
• Local Business SEO

• Job Type: Full-time
• Experience: 3+ year (Preferred)
• Excellent client servicing skills
• Computer proficiency
• Ability to interact with varied cultures
• Energetic, Confident, and Motivated & Self- driven
• Working Days: Mon to Fri and 1st, 3rd and 5th Sat off
• Salary: Up to 25K

About the Company

Our client is one of the leading TMT bar manufacturer and exporter in India. It is a well known group that achieves a turn over of 3000 Cr per annum. The group is setting a construction & architecture oriented omni channel B2B & B2C platform.

Job Description

Experience : 3-5Years

Requirement

• 3+ years of backend/full-stack development experience
• Proficient knowledge of a back-end programming language i.e Node.Js
• Experience with AWS services,Mongo DB
• Experience with RabbitMQ or similar queuing system
• Experience with Redis/ElasticSearch/PHP is a plus
• Familiarity with CI/CD pipeline tools like Jenkins
• Experience in handling a team
• Good at Design patterns, Algorithms, and Data structures.
• Have outstanding leadership skills, excellent people/communication, and negotiation skills
• Good knowledge of working with Git 

• User authentication and authorization between multiple systems, servers, and

           environments.

• Integration of multiple data sources and databases into one system

           Management of the hosting environment, including database administration

           and scaling an application to support load changes

.

Regards
Team Merito