Image Processing & Computer Vision Engineer

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

• As a senior backend engineer, you will be expected to execute and deliver large and complex projects end-to-end, with or without the involvement of other team members
• Ensuring timely delivery of all product deliverables
• Play a key role in technical discussions within the team and be the go-to person for the team for guidance and troubleshooting
• Understand key Business and Engineering metrics around performance, quality, and availability and work regularly with the team to push the boundaries and improve them periodically
• Proactively participate in code reviews and architecture and design discussions
• Mentoring junior engineers and setting best practices for coding, code reviews, etc.
• Help the organization in building a top-quality team by participating in hiring initiatives and evangelizing about contributions, accomplishments, and victories

• Strong and self-motivated individuals, should be able to independently drive decisions
• Solid experience in building web-based products
• Overall of 4+ years of expertise in at least one dynamic programming language and one MVC web framework, preferably Ruby on Rails
• Expertise in Database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries
• Expertise in all common Cloud technologies, preferably AWS. Knowledge of CI/CD tools and workflows
• Proven track record in building highly-available and scalable distributed systems
• Willingness to play and explore with new technologies and be a Subject Matter Expert and support them
• Someone who believes in small incremental improvements and is passionate about refactoring
• A keen eye for quality with regards to following and establishing good coding practices, improving code coverage
• Good stakeholder management, ability to build trust and rapport with internal and external stakeholders

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

What you will do: 

1. Design, implement and deliver custom solutions using the existing robotics framework. 

2. Debug issues, do root-cause analysis and apply fixes. 

3. Design and implement tools to facilitate application development and testing. 

4. Participate in architectural improvements. 

5. Work with team members in deployment and field testing. 

Qualifications: 

1. Bachelor’s degree / Masters in Engineering (ECE or CSE preferred) 

2. Work experience of 3+ years in software programming. 

3. Proficiency in Python programming for Linux based systems. 

4. Full understanding of software engineering. 

5. Basic Knowledge of Robot Operating System (ROS) is a plus. 

6. Good understanding of the algorithms and control loops. 

7. Working knowledge of Git: creating, merging branches, cherry-picking commits, examining the diff between two hashes. Advanced Git usage is a plus.  

8. Knowledge of video streaming from edge devices is a plus. 

9. Thrive in a fast-paced environment and have the ability to own the project’s tasks end-to-end with minimum hand-holding  

10. Learn and adapt new technologies & skills. Work on projects independently with timely delivery & defect free approach. 

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health, dental and vision benefits, and company equity commensurate with the role you’ll play in our success.  

At LambdaTest, We help developers and testers fix their applications across a combination of 2000+ browsers and Operating Systems by providing a complete cross-browser ecosystem on the cloud. As Backend Developer You will work with other Developers throughout the Software Development Life Cycle.

You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll out product that deliver the company’s vision and strategy.

What’s the Opportunity?

• As a hands-on engineering professional, you'll stay on top of the details and will be more focused on building a better, more efficient program and creating the best user experience and 
• Support and collaborate with our service engineers in getting to the bottom of issues and come up with robust solutions.
• Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• Participate in a culture of code reviews, writing tech specs, and collaborating closely with other people.
• Design distributed systems using micro services architecture would be plus.
• Implementing high performance and non-blocking systems to serve traffic heavy SaaS based product.

Requirements and qualifications-

• Bachelor's degree in Computer Science or equivalent combination of technical education with 2-4 Years of work experience.
• Experience with one or more general purpose programming languages, including but not limited to:Python, Golang, NodeJs 
• A solid understanding of software construction
• The ability to naturally follow good development practices like test automation, CI/CD, source version control, etc.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Locus is a global decision- making platform in the supply chain that uses deep learning and proprietary algorithms to provide route optimization, real-time tracking, insights and analytics, beat optimization, efficient warehouse management, vehicle allocation and utilization, intuitive 3D packing and measurement of packages. Locus automates human decisions required to transport a package or a person, between any two points on earth, delivering gains along efficiency, consistency, and transparency in operations.

Locus, which has achieved a peak of 1 million orders processed in a day (200,000 orders an hour) and is trained & tested on over 100 million+ order deliveries, works in 75 cities across the globe. Locus works with several large-scale market leaders like Urban Ladder, Tata Group of Companies, Droplet, Licious, Rollick, Lenskart, other global FMCG, pharma, e-commerce, 3PL and logistics conglomerates.

Locus is backed by some of the biggest names in the market and recently raised $22 MN in Series B funding and also $4 Mn in a pre-Series B round. Earlier, In 2016, Locus raised $2.75 Mn (INR 18.3 Cr) in a Series A funding.

Locus was started by Nishith Rastogi and Geet Garg, two ex-Amazon engineers on a mission to democratize logistics intelligence for businesses across industries. Nishith was profiled by Forbes Asia in their ’30 Under 30’ 2018 list. Geet, on the other hand, holds a dual degree (BTech and MTech) in Computer Science and Engineering from the Indian Institute of Technology. Our team constitutes of engineers from Indian Institute of Technology and Birla Institute of Technology & Science- Pilani, and Data Scientists with PhDs from Carnegie Mellon University and Tata Institute of Fundamental Research. Our multifaced product and business team is led by senior members from Barclays, Google & Goldman Sachs with immense operational execution experience.

Job Description

• Design & implement backend APIs at Locus.sh
• Mentor junior developers technically.
• Actively work to reduce tech debt in the Locus backend
• Work towards more stability & scalability of the backend
• Tech stack - Java, AWS, Aurora etc.

Eligibility

• 4-8 years of product company experience
• OOP implementation experience. Programming language does not matter, We use Java internally but have hired folks from non Java background.
• Hands on experience in SQL, Dynamo DB, Postgres etc preferred.
• Prior experience building REST APIs
• Advanced understanding of AWS stack
• Prior knowledge of solving problems at scale.

Perks:

• Healthy catered meals at office
• You decide your own Work From Home (WFH) and Out Of Office (OOO)
• Pet-friendly - bring your pets to the office any day. Locus family already has a Rottweiler and a Beagle

Designing and developing high-volume, low-latency applications for
critical systems and delivering high-availability and performance
• Contributing in all phases of the development lifecycle
• Writing well designed, testable, efficient code
• Test cases should be upto the mark
• Performance tuning knowledge is a must. Experience is an added advantage.
• In Backend – fundamentals of all languages is a must• Good hands-on software development experience with proven working experience
in Python development
• Expert in Python, with knowledge of at least one Python web framework (such
as Django, Flask)
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process
architecture
• Strong unit test and debugging skills
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and
CSS3
• Understanding of memory model/GC from performance point of view.