Python
Scala
Machine Learning (ML)About Moative
Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.
Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Work you’ll do
As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve real-world problems. You will be instrumental in designing and developing intelligent software solutions, leveraging the power of foundation models to automate and optimize critical workflows. Collaborating closely with domain experts, data scientists, and ML engineers, you will integrate advanced ML and AI technologies into both existing and new systems. This role offers a unique opportunity to explore innovative ideas, experiment with the latest foundation models, and build impactful products that directly enhance the lives of citizens by transforming how government services are delivered. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.
Responsibilities
- Utilize and adapt foundation models, particularly in vision and data extraction, as the core building blocks for developing impactful products aimed at improving government service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
- Architect, build, and deploy intelligent AI agent-driven workflows that automate and optimize key processes within government service delivery. This encompasses the full lifecycle from conceptualization and design to implementation and monitoring
- Contribute directly to enhancing our model evaluation and monitoring methodologies to ensure robust and reliable system performance. Proactively identify areas for improvement and implement solutions to optimize model accuracy and efficiency
- Continuously learn and adapt to the rapidly evolving landscape of AI and foundation models, exploring new techniques and technologies to enhance our capabilities and solutions
Who you are
You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration.
You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens
Skills & Requirements
- 3+ years of experience in programming languages such as Python or Scala
- Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
- Tuning and deploying foundation models, particularly for vision tasks and data extraction
- Excellent analytical and problem-solving skills with the ability to break down complex challenges into actionable steps
- Strong written and verbal communication skills, with the ability to effectively articulate technical concepts to both technical and non-technical audiences
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.
Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.
That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Moative
About
Are you ready to be at the forefront of the AI revolution? Moative is your gateway to reshaping industries through cutting-edge Applied AI Services and innovative Venture Labs.
Moative is an AI company that focuses on automating tasks, compressing workflows, predicting demand, pricing intelligently, and delighting customers. They design AI roadmaps, build co-pilots, and create predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries.
🚀 What We Do
At Moative, we're not just using AI – we're redefining its potential. Our mission is to empower businesses in energy, utilities, packaging, commerce, and other primary industries with AI solutions that drive unprecedented productivity and growth.
🔬 Our Expertise:
- Design tailored AI roadmaps
- Build intelligent co-pilots for specialists
- Develop predictive AI solutions
- Launch AI micro-products through Moative Labs
💡 Why Moative?
- Innovation at Core: We're constantly pushing the boundaries of AI technology.
- Industry Impact: Our solutions directly influence the cost of goods sold, helping clients surpass industry profit margins.
- Customized Approach: We fine-tune fundamental AI models to create unique, intelligent systems for each client.
- Continuous Learning: Our systems evolve and improve, ensuring long-term value.
🧑🦰Founding Team
Shrikanth and Ashwin, IIT-Madras alumni have been riding technology waves since the dotcom era. Our latest venture, PipeCandy (Data & Predictions on 12 million eCommerce sellers) was acquired in 2021. We have built analytical models for industrial giants, advised enterprise AI platforms on competitive positioning, and built 70 member AI team for our portfolio companies since 2023.
Candid answers by the company
Moative is an AI company that focuses on automating tasks, compressing workflows, predicting demand, pricing intelligently, and delighting customers. They design AI roadmaps, build co-pilots, and create predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries.
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- 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.
As a Senior Analyst you will play a crucial role in improving customer experience, retention, and growth by identifying opportunities in the moment that matter and surfacing them to teams across functions. You have experience with collecting, stitching and analyzing Voice of Customer and CX data, and are passionate about customer feedback. You will partner with the other Analysts on the team, as well as the Directors, in delivering impactful presentations that drive action across the organization.
You come with an understanding of customer feedback and experience analytics and the ability to tell a story with data. You are a go-getter who can take a request and run with it independently but also does not shy away from collaborating with the other team members. You are flexible and thrive in a fast-paced environment with changing priorities.
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- Maintain Qualtrics dashboards and surveys.
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- Understand data sets within the Data Services Enterprise Data platform and other systems
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- Work with Business Insights, IT and technical teams
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Qualifications
- Bachelor’s degree in data science/Analytics, Statistics or Business. Master’s degree is a plus.
- Extract data and customer insights, analyze audio or speech, and present them in any visualization tool.
- 5+ years of experience in an analytical, customer insights or related business function.
- Basic knowledge of SQL and Google Big Query.
- 1+ year of experience working with Qualtrics, Medallia or another Experience Management platform
- Hands-on experience with statistical techniques: profiling, regression analysis, trend analysis, segmentation
- Well-organized and high energy
Non-technical requirements:
- You have experience working on client-facing roles.
- You are available to work from our Bangalore office from Day 1 in a night shift. (US Shift)
- You have strong communication skills.
- You have strong analytical skills.
Experience Level: Overall 15 - 20 years and minimum 5 years as Product QA Leader
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• Passion for technology with a commitment to quality
• Hands-on skills as regards Product/Platform QA Strategy, Automation Testing, Regression Testing
and Testing Methodologies
• QA Leadership, Mobile App (iOS/Android) Testing, Program Management, Agile / Scaled Agile / Lean
methodologies
• Product Release Test Management, Product Maintenance Test Management
• Understanding of Retail, E-commerce industry (good to have)
• Understanding and hands-on knowledge of Jira, Xray, Automation, Regression Tools
• Demonstrated experience in test planning for complex features/systems
• Ability to work independently and thrive while focusing on the details, such as spotting subtle
problems, raising issues, and taking ownership of the solution
• Demonstrated experience in QA project management over multiple products, simultaneously
• Excellent communication skills
ATP is an Applicant Training Program where selected applicants will be a part of a 6 weeks training program and on successful completion of this training program, applicants will be given an opportunity to join as a Business Development Associate with BYJUs.
STRUCTURE OF the ATP:
The 6 weeks of ATP is divided into 2 phases, 2 weeks of Class Room Training(CRT) and 4 weeks of On the Job Training(OJT).
(A) PHASE 1 : Classroom Training (CRT)
● 1st 2 weeks of the CRT Phase will be conducted in the training location where
we will cover the theoretical aspect of BYJU’S sales process.
● You will be involved in various activities during this phase which will be rigorously
evaluated by the end of 2 weeks of the CRT program.
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opportunity to start with the next phase of the training program.
(B) PHASE 2 : On-the-Job Training (OJT)
● The 2nd stage (OJT Phase) starts from the 3rd week of training for candidates
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Process driven: Process driven people who adhere to the guidelines set by the organization (Example- Number of conductions and sales done/revenue generated/ call time/ call audits.etc)
Behaviourally aligned: Resources whose behavioral aspects are aligned with the company's culture (Example- Ability to Follow Instructions, Attention to Details, Discipline, Punctuality, Accessibility of Resource during working hours, Code of Conduct in office/Virtually)
PERKS OF CLEARING ATP:
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Component.
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3. The position entails rapid growth and learning.A performing associate becomes eligible
to get his 1st opportunity within 1.5-2 yrs to interview for the role of a manager and own
revenue responsibility of 20 heads.
4. You will be part of the hottest function of the hottest start up in the hottest sector.
WHAT IF CANDIDATE FAILS TO MEET THE EXPECTATION:
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon