Cloud Engineer

Job Title: AI / Machine Learning Engineer

 Company: Apprication Pvt Ltd

 Location: Goregaon East

 Employment Type: Full-time

 Experience: 4 Years

 About the Role

We’re seeking a highly motivated AI / Machine Learning Engineer to join our growing engineering team. You will design, build, and deploy AI-powered solutions for web and application platforms, bringing cutting-edge machine learning research into real-world production systems.

This role blends applied machine learning, backend engineering, and cloud deployment, with opportunities to work on NLP, computer vision, generative AI, and intelligent automation across diverse industries.

Key Responsibilities

• Design, train, and deploy machine learning models for NLP, computer vision, recommendation systems, and other AI-driven use cases.
• Integrate ML models into production-ready web and mobile applications, ensuring scalability and reliability.
• Collaborate with data scientists to optimize algorithms, pipelines, and inference performance.
• Build APIs and microservices for model serving, monitoring, and scaling.
• Leverage cloud platforms (AWS, Azure, GCP) for ML workflows, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Implement AI-powered features such as chatbots, personalization engines, predictive analytics, or automation systems.
• Develop and maintain ETL pipelines, data preprocessing workflows, and feature engineering processes.
• Ensure solutions meet security, compliance, and performance standards.
• Stay updated with the latest research and trends in deep learning, generative AI, and LLMs.

Skills & Qualifications

• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field.
• Proven experience of 4 years as an AI/ML Engineer, Data Scientist, or AI Application Developer.
• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn); familiarity with LangChain, Hugging Face, OpenAI API is a plus.
• Experience in model deployment, serving, and optimization (FastAPI, Flask, Django, or Node.js).
• Proficiency with databases (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
• Hands-on experience with cloud ML services (SageMaker, Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).
• Knowledge of MLOps practices: model versioning, monitoring, retraining, experiment tracking.
• Familiarity with frontend frameworks (React.js, Angular, Vue.js) for building AI-driven interfaces (nice to have).
• Strong understanding of data structures, algorithms, APIs, and distributed systems.
• Excellent problem-solving, analytical, and communication skills.

Profile: 𝐍𝐨𝐝𝐞.𝐣𝐬 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫

Location: 𝐀𝐧𝐝𝐡𝐞𝐫𝐢 𝐄𝐚𝐬𝐭, 𝐌𝐮𝐦𝐛𝐚𝐢, 𝐌𝐚𝐡𝐚𝐫𝐚𝐬𝐡𝐭𝐫𝐚

Experience: 2+ 𝐘𝐞𝐚𝐫𝐬 𝐄𝐱𝐩

Work Mode: 𝐇𝐲𝐛𝐫𝐢𝐝

𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:

✅ Node.js & Express.js

✅ MongoDB & Mongoose

✅ RESTful APIs & GraphQL

✅ JavaScript (ES6+) & TypeScript

✅ JWT Authentication

✅ Docker & Containerization

✅ Git Version Control

✅ Postman/Thunder Client

Core AI Backend Engineer – LLM Fine-Tuning

You know that moment when you don’t just debug code — you train a model, fine-tune it, and suddenly it understands your domain better than you expected? That’s the kind of magic we’re looking for.

We’re building something that turns chaotic social video data into crystal-clear business intelligence. Not just another API — but AI-backed architecture fine-tuned to our world. Systems that marketing teams thank you for, because they feel the intelligence, not just the infrastructure.

Either you feel the craft when you read this, or you don’t. This isn’t just another backend role. This is where you bring together scalable systems and cutting-edge LLMs to build something the world hasn’t seen before.

Who We Are

We’re a small, global team that ships fast. Every line of code and every model choice affects millions of video analysis requests.

Our engineers don’t just build APIs — they architect solutions, they optimize at scale, and now, they fine-tune models to make AI work in the real world. Our CPTO still codes. Our senior engineers make complexity look effortless. Our backend team sets a standard that others ask how we move so fast.

What We Need

We need someone who’s lived both sides of this life:

• Backend excellence: building high-scale, high-performance systems.
• LLM fine-tuning: hands-on with open-source models, not just calling APIs.

Someone who can sit with a requirement at 2pm and by 6pm not only has endpoints working, but also has a fine-tuned model running behind them — customized to our use case.

Your Craft

• JavaScript/TypeScript & NodeJS as core backend tools.
• Next.js for full-stack where needed.
• Rust when performance is non-negotiable.
• Golang/Python as comfortable tools of choice.
• MySQL/Postgres/Redis — wielded with intention.
• AWS ecosystem — your playground, not your puzzle.
• LLM/AI integration you’ve actually shipped.
• Open-source LLM fine-tuning experience:
• Bringing in open-source models (LLaMA, Mistral, Falcon, etc.).
• Fine-tuning/adapting them for specific domains.
• Optimizing for inference cost, latency, and accuracy.

The Reality

The work is beautifully complex. The scale is real and growing. The problems are the kind that wake you up at 3am with solutions.

If you get your energy from building backend systems and adapting LLMs to make them smarter for real-world use, you’ll probably fall in love with what we do. If you’re only interested in APIs without touching models, this won’t be your thing — and that’s completely okay.

How to Apply

If you’re reading this thinking “finally, a team that actually cares about real AI engineering” — we’d love to see something you’ve built.

Not just a resume. Show us your craft:

• An LLM fine-tuning repo.
• A domain-adapted model you worked on.
• A system design where you combined backend and AI.
• Or even a short write-up or voice note explaining what you’ve fine-tuned.

We’re genuinely excited to see what you’ve done and have a meaningful conversation about whether this could be magic for both of us.

Desired Technical Skills -

• Min 3 years of experience working in scalable cloud based product companies/MNCs
• Must have deeper understanding of Django, React, AWS Infrastructure, DevOps, sql and nosql databases
• Must have managed the architecture and solution design of product and have clear vision to handle the volume of data
• Min 3 years in Django Development with exposure to REST API, Third Party API integration, Social Media API Integrations, Oauth integration
• Must have knowledge of developing Microservices oriented architecture based services using REST APIs with Token based authentication (OAuth, JWT).
• Knowledge of Celery, Ngnix, Scheduler and multi-threading is required
• Must have ReactJS/Redux knoweldge
• Min 1 yrs of Frontend Development experience is must
• Must know Postman, Swagger and PostgreSQL with strong unit test and debugging skills.
• Good understanding of code versioning tools such as Git. Should be comfortable in working as an individual and in team.
• Application Deployment Experience is MUST
• In Depth knowledge of AWS Architecture (EC2, RDS, Lambda, Elastic Cache etc.)
• Any knowledge of Bootstrap or Cloud based services (AWS, GCP) is an advantage
• Must have management and communications Skills to handle developers and customers technical queries

Responsibilities:

• Collaborate with the project team to gather requirements and understand user needs.
• Design and develop web applications using the MERN stack.
• Write clean and efficient code for both the front-end and back-end.
• Ensure the creation of responsive and cross-browser compatible web applications.
• Optimize applications for speed, performance, and scalability.
• Debug and troubleshoot issues, and participate in code reviews.
• Develop and maintain RESTful APIs for front-end interactions.
• Integrate third-party libraries and APIs when required.
• Keep up-to-date with the latest web development trends and best practices.
• Conduct unit and integration testing to ensure code quality.
• Collaborate with team members and stakeholders to meet project deadlines.
• Document code and technical specifications.
• Participate in knowledge sharing and continuous learning within the team.

Requirements:

• A Bachelor's degree in Computer Science, Engineering, or a related field is preferred, but not mandatory.
• A minimum of 2 years of hands-on experience as a MERN Stack Developer.
• Proficiency in Node.js and Express.js for building the back-end of web applications.
• Strong knowledge and experience in React.js for front-end development.
• Expertise in MongoDB for database design and management.
• Strong understanding of JavaScript, ES6+
• Familiarity with RESTful API development and integration.
• Ability to work with HTML, CSS, and responsive design principles.
• Experience with version control systems, such as Git.
• Problem-solving skills and an aptitude for learning new technologies.
• Strong communication and teamwork skills.

• Hands-on experience with React Native (2+ years).
• Experience with popular React workflows (such as Flux or Redux).
• Integrating backend REST APIs
• Passion about complex, interactive applications with a thoughtful UX/UI.
• Should be able to understand project requirements thoroughly.
• A deep understanding of the importance of building maintainable, efficient, clean code, while balancing the urgency of business needs.
• Collaborative attitude and experience working with cross-functional teams.

• Responsible for driving & delivering cross-platform mobile applications.
• Responsible for architecting, solutioning of the project in the requirement phase;
• Responsible for working with the team & enhancing the collaboration, adding value to the project with critical thinking on project design.
• Responsible for integrating the REST APIs

JD – Attached Sample Profile for Reference

1) WebFOCUS BI Reporting
2) WebFOCUS Adminstration
3) Sybase or Oracle or SQL Server or Snowflake
4) DWH Skills

Nice to have
1) Experience in SAP BO / Crystal report /SSRS/ Power BI
2) Experience in Informix
3) Experience in ETL

Responsibilities

• Technical knowledge regarding best practices of BI development / integration.
• Candidate must understand business processes, be a detailed-oriented person and quickly grasp new concepts.
• Additionally the candidate will have strong presentation, interpersonal, software development and work management skills.
• Strong Advanced SQL programming skills are required
• Proficient in MS Word, Excel, Access, and PowerPoint
• Experience working with one or more BI Reporting tools as Analyst/Developer.
• Knowledge of data mining techniques and procedures and knowing when their use is appropriate
• Ability to present complex information in an understandable and compelling manner.
• Experience converting reports from one reporting tool to another

The Solution Architect plays a critical role in the architecture design and development of globally consistent Liquidity and Cash Management solutions and is a key contributor to the overall delivery in a fast-paced and challenging environment.

Responsibilities:

• Develops technology road maps, while keeping up-to-date with emerging technologies, and recommends business directions based on these technologies
• Provides technical leadership and is responsible for developing components of, or the overall systems design.
• Translates complex business problems into sound technical solutions.
• Provides integrated systems planning and recommends innovative technologies that will enhance the current system.
• Contribute to ongoing architecture governance and reviewing proposed solutions.
• Lead integration of new and existing components with ICG Platforms.

Qualifications:

• 10+ years relevant experience
• Experience as Full-Stack Developer and Experience as Architect Desired
• Understanding of integration technologies concepts like Webservices, REST API etc
• Familiar with DevOps tools like Maven, Jenkins, Bitbucket etc
• Consistently demonstrates clear and concise written and verbal communication
• Management and prioritization skills
• Ability to develop working relationships
• Ability to manage multiple activities and changing priorities
•  

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree