Taleo Techno Functional Consultant

Key Responsibilities

Event Planning and Coordination

·        Collaborate with BD and CS team to understand their event goals, themes, and requirements.

·        Develop detailed plans, timelines, checklists and production schedules.

·        Coordinate with vendors, suppliers, and contractors to secure necessary services and materials.

·        Conduct site visits and assessments to ensure venue suitability and ensure alignment with client expectations.

Logistics Management

·        Oversee the setup, execution, and teardown of events and activities, ensuring all elements are in place and functioning correctly as per SOP.

·        Manage logistics, including transportation, accommodation, and catering arrangements etc.

·        Ensure compliance with health, safety, and regulatory standards during all activities.

Technical Coordination

·        Work closely with technical teams to ensure proper setup and operation of audio-visual equipment, lighting, staging, and other technical aspects.

·        Troubleshoot technical issues during events/activities and implement quick solutions to minimize disruptions.

Budget Management

·       Track and manage event/activity and procurement budgets, ensuring all expenses are tracked and kept within allocated limits.

·        Negotiate with vendors and suppliers to secure competitive rates and optimize costs.

Team Collaboration

·        Lead and coordinate event/activity staff, including volunteers, to ensure smooth execution of event tasks.

·        Foster a positive and collaborative team environment.

Client and Stakeholder Relations

• Serve as the on-ground point of contact for clients, providing regular updates and addressing concerns.
• Maintain strong relationships to ensure client satisfaction and seamless delivery of requirements.
• Professionally handle client feedback and implement improvements as needed.

Post-Event Evaluation

·        Conduct post-event evaluations to assess event success and identify areas for improvement.

·        Prepare detailed event reports for clients and internal stakeholders.

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.

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• Contribute to all stages of software development lifecycle
• Design, implement and maintain Java-based applications that can be high-volume and low-latency
• Analyze user requirements to define business objectives
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