Moative

https://moative.com

Founded :

2024

Type :

Products & Services

Size :

0-20

Stage :

Bootstrapped

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.

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.

🚀 What We Do

🔬 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

Candid answers by the company

What does the company do?

What is the location preference of jobs?

Why you should join us?

Company social profiles

Jobs at Moative

Data Scientist

at Moative

3 candid answers

Posted by Eman Khan

Chennai

2 - 5 yrs

₹10L - ₹20L / yr

Data Science

ML Models

Generative AI (GenAI)

Retrieval Augmented Generation (RAG)

guardrails

+2 more

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.

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 a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products.

You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.

As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science, machine learning, and AI.

The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.

Responsibilities

Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.

Who you are

You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.

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 here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city.

About Moative

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

You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.

Responsibilities

Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.

Who you are

Requirements and skills

2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.

Working at Moative

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 here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city.

Did not find a job you were looking for?

Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.

Similar companies

Searce Inc

https://searce.com

Founded

2004

Type

Products & Services

Size

1000-5000

Stage

Profitable

About the company

What is ‘searce’

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

What we do

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.

We are a category defining niche’ cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work
We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes
We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries
Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services
As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.

Who we are

We are passionate improvers, solvers & futurists. Driven by our engineering excellence mindset, we care most about delivering intelligent, impactful & futuristic business outcomes. Searcians are motivated by continuous improvement & solving for better in everything we do.

At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do.

We believe that trust is the most important value. We also believe that we need to ‘earn the trust’, everytime one engages with us. And earning trust for us is far more important than anything else. We aim to be the *most trusted* tech consulting partner for our clients.

We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code.

Being HAPPIER.

How we work

Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer.
We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier.
Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers.
Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

Jobs

Appknox

https://appknox.com

Founded

2014

Type

Product

Size

20-100

Stage

Profitable

About the company

Appknox, a leading mobile app security solution HQ in Singapore & Bangalore was founded by Harshit Agarwal and Subho Halder.

Since its inception, Appknox has become one of the go-to security solutions with the most powerful plug-and-play security platform, enabling security researchers, developers, and enterprises to build safe and secure mobile ecosystems using a system-plus human approach.

Appknox offers VA+PT solutions ( Vulnerability Assessment + Penetration Testing ) that provide end-to-end mobile application security and testing strategies to Fortune 500, SMB and Large Enterprises Globally helping businesses and mobile developers make their mobile apps more secure, thus not only enhancing protection for their customers but also for their own brand.

During the course of 9 years, Appknox has scaled up to work with some major brands in India, South-East Asia, Middle-East, Japan, and the US and has also successfully enabled some of the top government agencies with its On-Premise deployments & compliance testing. Appknox helps 500+ Enterprises which includes 20+ Fortune 1000 and ministries/regulators across 10+ countries and some of the top banks across 20+ countries.

A champion of Value SaaS, with its customer and security-first approach Appknox has won many awards and recognitions from G2, and Gartner and is one of the top mobile app security vendors in its 2021 Application security Hype Cycle report.

Our forward-leaning, pioneering spirit is backed by SeedPlus, JFDI Asia, Microsoft Ventures, and Cisco Launchpad and a legacy of expertise that began at the dawn of 2014.

Jobs

Egnyte

https://egnyte.com

Founded

2008

Type

Product

Size

500-1000

Stage

Profitable

About the company

Egnyte provides secure Enterprise File Sharing and Content Governance built from the Cloud down. Access, Share and Control 100% of your data from anywhere using any smartphone, tablet or computer.

Egnyte store billion of files and petabytes of data and we are looking for help to take the platform used by millions of users to the next level of scale. Autonomy and ownership is integral to our culture and engineers own one or more services end to end.

We’re looking for Engineers and they should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.

Jobs

Trendlyne Technologies

https://trendlyne.com

Founded

2017

Type

Product

Size

20-100

Stage

Raised funding

About the company

Who are we?

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do?

We build best in class analytics in the US and Indian stock market space. Organic growth in B2B and B2C products have already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Visit us at trendlyne.com, or look for the Trendlyne mobile app on the Google Play Store:

https://play.google.com/store/apps/details?id=com.trendlyne.markets

We are a great place to work

We have a culture where you are building something awesome, and your work makes a difference. Full-time employees get paid leave, parental leave, medical insurance, and employee stock options.

We invest in your learning and check in with you to help you meet your career goals. We keep regular hours and don't work on weekends.

Jobs

Vikash Technologies

https://vikashtechnologies.com

Founded

2010

Type

Services

Size

0-10

Stage

About the company

Recruitment

Jobs

Zethic Technologies

https://zethic.com

Founded

2019

Type

Services

Size

20-100

Stage

Bootstrapped

About the company

Zethic is a creative development hub for building scalable and business ready Web and Mobile applications

Jobs

Apprication pvt ltd

https://apprication.com

Founded

2020

Type

Services

Size

20-100

Stage

Profitable

About the company

Apprication is one of the most highly acclaimed software development companies in Mumbai, with its headquarters stationed in California. We pride ourselves in having a highly experienced and professional team of website designers and developers. One of the main goals of our company is to provide cost-effective online ordering solutions to businesses.

Jobs

Quantiphi

https://quantiphi.com

Founded

2013

Type

Products & Services

Size

1000-5000

Stage

Profitable

About the company

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

Jobs

TalentWeave

https://talentweave.org

Founded

2023

Type

Services

Size

50-200

Stage

Bootstrapped

About the company

At TalentWeave, we specialize in linking highly skilled IT professionals with the best career opportunities. Our dedicated team of recruiters works relentlessly to identify, attract, and retain top talent within the IT industry. By understanding the unique needs of both candidates and employers, we ensure a perfect match that aligns with individual career goals and business objectives. Whether you’re looking for contract, contract-to-hire, or direct placement solutions, we offer personalized services tailored to meet the specific demands of organizations, from startups to established Fortune 500 companies. With a proven track record of success, we pride ourselves on consistently delivering the right talent for every opportunity.

Our commitment doesn’t stop at just placing candidates; we focus on long-term relationships built on trust, ensuring both clients and candidates thrive. Whether you’re a company seeking the right talent or an IT professional looking for your next role, TalentWeave is here to guide you through the journey every step of the way.

Jobs

Creatif Technologies Pvt Ltd

https://creatiftechnologies.com

Founded

2012

Type

Product

Size

0-20

Stage

Profitable

About the company

Creatif Technologies Pvt. Ltd., formerly known as Shreeji Soft, was established in 2001 with a mission to deliver customer-centric and high-quality software solutions. Over the years, we have grown into a trusted partner for custom software development, working closely with businesses to simplify processes and maximize productivity. Our focus is always on innovation, performance, and customer satisfaction.

Jobs

Want to work at Moative?

Why apply via Cutshort?

Connect with actual hiring teams and get their fast response. No spam.

Find more jobs