Implementation Engineer

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 assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. 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 the TensorIoT India team, we look forward to bringing on board mid-level and 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. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

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. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

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.

We are looking for a Sr. Executive - Media Ops for one of the World's largest Media Investment Companies in India.

Role - Sr. Executive (Media Ops)

Experience - 2 to 6 years

Locations - Mumbai, Bangalore & Gurgaon

Overview of job :-

Our Client is the worlds largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

We are currently looking for an Senior Executive Media Operations.

The role will include internationalization and cross regional export of the centralized digital service and buying model. The Ad Operations team makes sure that each one of the thousands of digital ads we run every day is tagged to pass the right information back so that we know which ads drive results, Be the first to know when big technology players like Google and Amazon change their product roadmaps and advise clients on how to get the most out of their technology budgets.

Responsibilities of the role: 

- Translate Media plan into Prisma line items, oversee campaign setups, trafficking, perform QA 

- Work closely with the Billing, Finance, and Vendor team to ensure smooth payouts/actualizations 

- Generate campaign reports, guide team through training sessions for daily activities 

- Debug and troubleshoot issues with campaign delivery and performance.

- Identify process inefficiencies and ways to improve operations workflow. 

- Help the manager to enhance the process which can ensure high quality, delivery in SLA, and assist in teams training and development. - Assist the internal teams in understanding aspects of campaign and other technical aspects- tag, floodlights and page troubleshooting 

- Help execution team with campaign setups whenever required 

- Provide the data point and help managers to smoothly run day-to-day operations

What you will need:

- Bachelor Degreein any subject/ B.Tech preferred.

- Excellence in MS Excel

- 2 - 6 years of experience in Ad Operations, well versed with digital landscape

- Experience in aquantitative field, including: a DFA or ad servers reporting tools with tag implementation tools and analytics/reporting platform

- Creative problem solver, self- motivated and driven. Quick learner and willing to try new tools/software for reporting, Trafficking & analysis

- Ideal candidate will have hands on experience working withGoogle Campaign Manager, Sizmek

- Experience with Salesforce/Prismapreferred.

-Sell insurance policies and provide loans to potential clients/stakeholders.

-Seek out leads and new clients.

-Sell policies that protect individuals and businesses from financial loss

-Proven experience as an Insurance Sales Representative would be highly appreciated.

- Must be a target-oriented

- Take the extra mile to attract clients.

Requirement:

-Completed Bachelor's degree, good communication & problem-solving attitude. Knowledge about insurance plans.

-Need to have own vehicle

Requirement:

Own vehicle required

Platform for creators to build communities and monetise them Social Networks have become more media platforms than “social” platforms. They are not designed to make real human connections. Demand for more intimate online places is higher than ever. Communities are in huge demand! Also, these “Ad-driven” platforms only reward top creators. Most creators are left out - no matter how engaged their audience is. They have to constantly beat algorithms to reach out to their own audience. Over 50 million people around the world consider themselves creators. 97% of them aren’t getting paid. As a result creators are flocking to platforms like Slack, Discord, Whatsapp & Telegram - none of which were built either for community engagement or creator monetisation. Community creators have to go through the pain of managing multiple third party tools to engage and monetise their community. LikeMinds helps creators to convert their audience into a branded private community. They can monetise it by selling digital products like memberships, group chats, events, consultations and courses. As a platform purpose-built for community entrepreneurs, LikeMinds has inbuilt tools for member acquisition, onboarding, retention, moderation, monetisation, and referrals. Our platform enables creators to drive high engagement and belonging via chat rooms, events, polls, member directory, and rewards. These features are in addition to powerful business tools like community website, subscription management, event reminders, analytics dashboard, cohort creation, in-app banners, data export, and much more. Custom integrations are also available for creators with existing assets. In the last few months, we have helped 100+ creators monetise their communities. These include entertainers, fitness & wellness trainers, professional domain experts, language instructors, life coaches, financial experts, micro-entrepreneurship coaches, and exam prep coaches. We are a team of entrepreneurs, techies and community builders with credible backgrounds supported by 2 large VCs

Skills Required -JavaScript, CSS, HTML 5, Angular -Strong knowledge of Angular is a must -Fluent in responsive design and mobile / tablet UI / UX -Web mobile (touch devices: mobiles and tablets) experience is expected -UI Performance: should have hands-on experience of optimizing page load, rendering, caching -Good understanding of AJAX and its UI implications -Understanding of REST Apis -Have worked on high scale growth projects in the past -Prior experience working in a tech startup is a plus

Job Description:

• Individual Contributor role reporting to Business Development Manager.
• Minimum 1 year of experience from B2B Presales/ Sales/ Business Development/ Customer Service with upselling involved.
• Communication should be above average in both Oral and written with emphasis on vocabulary.
• Should be from international focused companies/teams. Domestic also can be considered if communication is excellent.

            Involving Business Development activities for US market

• B2B sales experience (US Market)
• Build and maintain strong client relationships
• Lead Generation
• Cold calling
• Outbound sales experience
• Hard core sale
• Pre- sales / Online Marketing/ Email Marketing