MLOps Engineer

at Moative

MLOps Engineer

Moative

Company

Home

MLOps Engineer

at Moative

Posted by Eman Khan

1 - 6 yrs

₹15L - ₹30L / yr (ESOP available)

Chennai, Bengaluru (Bangalore)

Skills

MLOps

MLFlow

kubeflow

Windows Azure

Machine Learning (ML)

Python

Apache Airflow

Sagemaker

AutoML

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.

Role

We seek experienced ML/AI professionals with strong backgrounds in computer science, software engineering, or related elds to join our Azure-focused MLOps team. If you’re passionate about deploying complex machine learning models in real-world settings, bridging the gap between research and production, and working on high-impact projects, this role is for you.

Work you’ll do

As an operations engineer, you’ll oversee the entire ML lifecycle on Azure—spanning initial proofs-of-concept to large-scale production deployments. You’ll build and maintain automated training, validation, and deployment pipelines using Azure DevOps, Azure ML, and related services, ensuring models are continuously monitored, optimized for performance, and cost-eective. By integrating MLOps practices such as MLow and CI/CD, you’ll drive rapid iteration and experimentation. In close collaboration with senior ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade ML solutions that directly impact business outcomes.

Responsibilities

ML-focused DevOps: Set up robust CI/CD pipelines with a strong emphasis on model versioning, automated testing, and advanced deployment strategies on Azure.
Monitoring & Maintenance: Track and optimize the performance of deployed models through live metrics, alerts, and iterative improvements.
Automation: Eliminate repetitive tasks around data preparation, model retraining, and inference by leveraging scripting and infrastructure as code (e.g., Terraform, ARM templates).
Security & Reliability: Implement best practices for securing ML workows on Azure, including identity/access management, container security, and data encryption.
Collaboration: Work closely with the data science teams to ensure model performance is within agreed SLAs, both for training and inference.

Skills & Requirements

2+ years of hands-on programming experience with Python (PySpark or Scala optional).
Solid knowledge of Azure cloud services (Azure ML, Azure DevOps, ACI/AKS).
Practical experience with DevOps concepts: CI/CD, containerization (Docker, Kubernetes), infrastructure as code (Terraform, ARM templates).
Fundamental understanding of MLOps: MLow or similar frameworks for tracking and versioning.
Familiarity with machine learning frameworks (TensorFlow, PyTorch, XGBoost) and how to operationalize them in production.
Broad understanding of data structures and data engineering.

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, eiciency 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, x or improve – anything that isn’t done right, irrespective of who did it. Be selsh 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 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.

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.

About Moative

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.

Role

Work you’ll do

Responsibilities

ML-focused DevOps: Set up robust CI/CD pipelines with a strong emphasis on model versioning, automated testing, and advanced deployment strategies on Azure.
Monitoring & Maintenance: Track and optimize the performance of deployed models through live metrics, alerts, and iterative improvements.
Automation: Eliminate repetitive tasks around data preparation, model retraining, and inference by leveraging scripting and infrastructure as code (e.g., Terraform, ARM templates).
Security & Reliability: Implement best practices for securing ML workows on Azure, including identity/access management, container security, and data encryption.
Collaboration: Work closely with the data science teams to ensure model performance is within agreed SLAs, both for training and inference.

Skills & Requirements

2+ years of hands-on programming experience with Python (PySpark or Scala optional).
Solid knowledge of Azure cloud services (Azure ML, Azure DevOps, ACI/AKS).
Practical experience with DevOps concepts: CI/CD, containerization (Docker, Kubernetes), infrastructure as code (Terraform, ARM templates).
Fundamental understanding of MLOps: MLow or similar frameworks for tracking and versioning.
Familiarity with machine learning frameworks (TensorFlow, PyTorch, XGBoost) and how to operationalize them in production.
Broad understanding of data structures and data engineering.

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, x or improve – anything that isn’t done right, irrespective of who did it. Be selsh 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 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 work out of our offices in Chennai.

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About Moative

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?

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Track, analyze, and communicate key quantitative metrics and business trends as they relate to partner relationships.
Recruit salespeople, set objectives, train and coach, and monitor performance ensuring assigned tasks and responsibilities are fulfilled.
Identify knowledge gaps within the team and develop a plan to fulfill them.
Oversee the sales team to ensure company quotas and standards are met by holding daily check-ins with team to set objectives for the day and monitor progress regularly.
Manage month-end and year-end close processes

Skills and Qualifications: -

Bachelor’s degree in marketing or business administration.
4+ years in sales management within a corporate setting
Proven track record of success the sales cycle from plan to close
Excellent communication, interpersonal, and organizational skills
Superb leadership ability

React.js Developer

at Marmeto

2 recruiters

Posted by Ruchika Das

Bhubaneswar

2 - 5 yrs

₹3L - ₹6L / yr

React.js

Javascript

DOM

Redux/Flux

Git

Overview: Marmeto is an IT solution company, more than solving the unseen issues; we work on getting tech solutions that help business see the unseen. Currently providing service and in house products of our own. Touch based 650+ clients across the globe. With such dedication, we have been delivering services with a personal touch. Experience Level – 2-3 years Location –Bhubaneswar Key skills – React.JS and its core principles, React.JS workflows (such as Flux or Redux) HTML, CSS, JavaScript, including DOM manipulation and the JavaScript object model, web-pack, git, docker Desired Role We are looking for a Rockstar React Developer to join our growing frontend team You're one of us, if you Have 2+ years' experience working with a Javascript framework, preferably React Have Solid Experience with react.js and its core structure & its ecosystem Have In-depth understanding of Javascript, the DOM, and relevant concepts Have Proficiency with browser based debugging and performance testing Have an Understanding of progressive web apps Have an Experience with a testing framework (Jest/Mocha)

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