Marketing Manager

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.

Job Title: Full Stack Developer Trainer

Location: Poornima University, Jaipur

Duration:

Slot 1: 22nd July - 31st July 2024

Slot 2 : Sept last week or Oct first week 2024

Job Type: Part-time/Contractual

Overview: Poornima University, Jaipur, is seeking a skilled Full Stack Developer Trainer to conduct technical sessions in workshop mode for 3rd year B.Tech+FDA students starting from July 2024. The trainer will play a pivotal role in equipping students with the latest industry-relevant skills in full-stack development through hands-on workshops conducted on-campus.

Responsibilities:

• Design and deliver workshop-style technical sessions on full-stack development topics including but not limited to:
• Front-end technologies (HTML, CSS, JavaScript, React/Angular/Vue.js)
• Understanding of MERN Foundation
• Back-end technologies (Node.js, Python/Django, Ruby on Rails, Java/Spring)
• Database management (MySQL, PostgreSQL, MongoDB)
• API design and integration
• Version control systems (Git)
• Deployment and DevOps practices
• Develop practical assignments and projects that enhance students' understanding and application of full-stack development concepts.
• Provide mentoring and guidance to students on individual or group projects related to full-stack development.
• Assess and evaluate students' progress, providing constructive feedback for improvement.
• Collaborate with faculty members to align technical sessions with the curriculum and learning objectives of the B.Tech+FDA program.

Requirements:

• Proven professional experience of at least 5 years as a Full Stack Developer or a similar role with hands-on expertise in both front-end and back-end technologies.
• Strong proficiency in web development languages and frameworks.
• Familiarity with modern development tools and environments (IDEs, package managers, build tools).
• Knowledge of cloud platforms (AWS, Azure, Google Cloud), containerization (Docker), and CI/CD pipelines.
• Excellent communication skills with the ability to convey technical concepts effectively to students.
• Passion for teaching and mentoring, with a commitment to fostering a supportive and engaging learning environment.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field. Relevant certifications and/or industry experience will be an advantage.

Additional Information:

• This position is part-time/contractual, requiring on-campus presence during scheduled workshop sessions.
• The role offers an opportunity to contribute to the professional development of aspiring engineers and shape their skills in full-stack development.

Application Process: Interested candidates are invited to apply for this opportunity.

Responsibilities:

1. Create detailed and accurate mechanical drawings based on project requirements.

2. Collaborate with engineers and project managers to understand design specifications and translate them into technical drawings.

3. Ensure compliance with relevant design codes and standards in the creation of mechanical drawings.

4. Utilize various software tools for drafting and design, demonstrating proficiency in industry-standard software.

5. Prepare and maintain documentation related to mechanical designs, revisions, and updates.

6. Participate in design review meetings to address any issues and incorporate feedback into drawings.

7. Stay abreast of industry trends, standards, and technological advancements to enhance drafting capabilities.

Customer Operational Account Management:

 The Customer Success Manager (CSM) will focus on establishing and maintaining positive client relationships from an operational and strategic perspective. The incumbent will utilize client relationship management skills to maintain and renew existing contracts, as well as to obtain additional revenue within the assigned account workload.

 Take ownership of customers’ operational needs and steward throughout the organization as required.

 Identifying and recommending resolutions to all Customers’ issues enabling the Customer to place 100% of Customer business on the Company’s products and Services.

 On-going support for advanced or escalated questions/issues/problems.

 Continuously seek opportunities to increase customer satisfaction and deepen client relationships, revenue, profitability, and loyalty.

 Act as a product expert and assist clients in achieving maximum ROI through consultation, training, and analysis for the Company’s customers including but not limited to:  Being a Subject Matter Expert on assigned products and services.  Post-training assessment review and recommendations.  Communication of all system enhancements.  Prepare clients for upcoming releases and ensure they are current on available functionality and how it can meet their needs.  Adherence to Internal and Industry Risk and Compliance rules and responsibilities.  Responsible for assuring the Company’s compliance with its obligations under the Partner Agreement and the Service Level Agreement as it relates to his/her customers.  Maintain an understanding of the market and industry dynamics, including applicable regulations.