Data Science Freshers

About the job

Job Title: MLOps Engineer Intern

Company: Aaizel International Technologies Pvt. Ltd.

Location: Gurugram, Haryana (On-site)

Duration: 6 Months (PPO based on performance)

About Aaizeltech

Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, cybersecurity solutions, and intelligent embedded systems. We are looking for a passionate MLOps Engineer Intern eager to work on real-world machine learning infrastructure, cloud platforms, and deployment pipelines while collaborating with experienced AI/ML engineers.

Role Overview

As an MLOps Engineer Intern, you will assist in building, deploying, and maintaining machine learning pipelines and cloud infrastructure. You will gain hands-on experience in containerization, Kubernetes, CI/CD automation, model deployment, monitoring, and cloud-native technologies while contributing to production-ready AI solutions.

Key ResponsibilitiesMLOps

• Assist in building and maintaining end-to-end ML pipelines using tools such as Airflow, Kubeflow Pipelines, or Metaflow.
• Collaborate with AI/ML engineers to deploy machine learning models using , TensorFlow and Airflow orchestration.
• Containerize ML applications using Docker with Flask, FastAPI, or Django APIs.
• Support dataset versioning and experiment tracking using MLflow and DVC.
• Assist in maintaining model registries and ensuring reproducible ML workflows.
• Monitor deployed models for performance, data drift, and infrastructure health using tools such as Evidently AI, Prometheus, and Grafana.
• Support automated retraining workflows and model deployment processes.

Cloud & DevOps

• Assist in deploying and managing cloud infrastructure on AWS, GCP, or Azure.
• Support CI/CD pipeline development using GitHub Actions, GitLab CI, or Jenkins.
• Learn and contribute to Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Work with Docker and Kubernetes for application deployment and orchestration.
• Monitor cloud resources and optimize infrastructure performance.
• Follow DevOps and DevSecOps best practices for secure deployments.

Required Skills

• Good understanding of Linux, shell scripting, and networking fundamentals.
• Basic knowledge of Python programming.
• Familiarity with Docker and Kubernetes.
• Understanding of Git and CI/CD concepts.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Basic understanding of machine learning workflows and model deployment.
• Familiarity with REST APIs using Flask, FastAPI, or Django.
• Strong analytical, debugging, and problem-solving skills.
• Good communication and willingness to learn new technologies.

Preferred Skills

• Exposure to MLflow, DVC, Airflow, Kubeflow, or Metaflow, apache kafka.
• Familiarity with Terraform or other Infrastructure as Code tools.
• Knowledge of monitoring tools such as Prometheus or Grafana.
• Understanding of model serving frameworks like BentoML, TorchServe, or TensorFlow Serving.
• Knowledge of DevSecOps tools like SonarQube is an advantage.

Eligibility

• Final-year B.Tech/B.E./M.Tech/MCA students or recent graduates in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or related fields.
• Strong interest in MLOps, Cloud Computing, DevOps, and AI infrastructure.
• Prior academic projects, internships, or open-source contributions in ML or cloud technologies are a plus.

What You'll Gain

• Hands-on experience with production-grade MLOps and cloud infrastructure.
• Opportunity to work on real-world AI/ML products and scalable deployments.
• Mentorship from experienced AI/ML and DevOps professionals.
• Exposure to modern MLOps tools, Kubernetes, cloud platforms, and CI/CD workflows.
• Potential Pre-Placement Offer (PPO) based on performance.

Who You'll Work With

- AI/ML Engineers, Backend Developers, Frontend Developers, QA Team

-Product Owners, Project Managers, and external Government or Enterprise Clients

Job Description -

Profile: Senior ML Lead

Experience Required: 10+ Years

Work Mode: Remote

Key Responsibilities:

• Design end-to-end AI/ML architectures including data ingestion, model development, training, deployment, and monitoring
• Evaluate and select appropriate ML algorithms, frameworks, and cloud platforms (Azure, Snowflake)
• Guide teams in model operationalization (MLOps), versioning, and retraining pipelines
• Ensure AI/ML solutions align with business goals, performance, and compliance requirements
• Collaborate with cross-functional teams on data strategy, governance, and AI adoption roadmap

Required Skills:

• Strong expertise in ML algorithms, Linear Regression, and modeling fundamentals
• Proficiency in Python with ML libraries and frameworks
• MLOps: CI/CD/CT pipelines for ML deployment with Azure
• Experience with OpenAI/Generative AI solutions
• Cloud-native services: Azure ML, Snowflake
• 8+ years in data science with at least 2 years in solution architecture role
• Experience with large-scale model deployment and performance tuning

Good-to-Have:

• Strong background in Computer Science or Data Science
• Azure certifications
• Experience in data governance and compliance

Required Skills & Qualifications :-

● 5+ years of experience in B2B sales, with at least 3 years in a leadership or senior management role.

● Proven ability to close large, complex deals and achieve ambitious sales targets.

● Strong leadership, communication, and strategic thinking skills.

● In-depth knowledge of supply chain, warehousing, or logistics sectors.

● Bachelor's degree in Business, Sales, or a related field. MBA preferred.

Around 4 years of experience in creating and implementing Web-based products using REST

API, Node.js, Angular/ React, any database MySQL or No SQL.

Ability to work in an Agile, fast-paced environment, and learn rapidly.

Bachelor degree in computer science, computer engineering or similar.

Experience creating front end applications using HTML5, Angular, LESS/SASS

Hands-on experience with JavaScript Development on both client and server-side

Experience with modern frameworks and design patterns, minimum two-year experience

with MEAN Full stack paradigm

Experience with cloud technologies is a plus

Writing clean, readable, and easily maintainable code.

Must have knowledge of project/task management tools like Jira

Familiarity with Version Control tools like Bitbucket, Git etc..

Basic Knowledge or experience in Testing (Unit and functional) preferred.

Build features and applications with responsive design

Understanding of UI, cross-browser compatibility, and web standards.

Good English communication skills, written and spoken.

Able to work with minimum supervision as well as perform under pressure and meet

Deadlines.

Able to work from our office in Vidyaranyapura, Bangalore.

Job description

Role/project description: will be responsible for user interface development of various android/ios based mobile applications for organization clients and partners.

The candidate will work in global, highly innovative and agile environment made up both by talented youngsters and senior professionals.

Location: Saudi Arabia

Job responsibilities:

• Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance
• Contribute in all phases of the development lifecycle concept, design, build, deploy, test, release to app stores and support.
• Diagnose performance issues, fix bugs including crashes and anrs to increase the functionality of the application
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications.
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
• Collaborate with team members product managers, developers, designers to brainstorm about new features and functionalities.

Desired profile:

• Proficient in Java/Kotlin programming
• Knowledge and experience in flutter framework and dart programming
• Hands on experience in using restful APIs
• Hands on experience in designing and developing micro-services architecture and containers
• Object oriented analysis, uml and design using common design patterns.
• Hands on experience in development ide android studio, android sdk, firebase test lab
• Experience with offline storage, threading, and performance tuning
• Familiarity with push notifications
• Familiarity with IOS integration with flutter
• Experience using GitHub or similar environment
• Complete understanding of SDLC &agile development
• Experience with material design and android ui design principles, patterns and best practices
• Good knowledge of adding third-party libraries
• Ability to understand business requirements and translate them into technical requirements
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• A track record of delivering successful complex consumer product apps finance apps, e-commerce apps
• Critical thinker

You will be responsible for developing features on the application and integrations end to end. You will be working closely with the Technical Team to come up with high-quality, resilient, and highly performant applications.‍

• Design and develop SaaS-based applications based on microservices architecture.
• Work on the core backend and ensure it meets the performance benchmarks.
• API and Integrations
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.
• Work on the front end with ReactJS is a plus point.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• Education - BE/MCA or equivalent
• 5+ years of experience
• Agnostic/Polyglot with multiple tech stacks
• OAuth, API Integrations.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, CouchDB, DynamoDB, Clickhouse, Kafka
• Backend exposure – good knowledge of building and integrating APIs
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Excellent knowledge and understanding skills on oAuth.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for functional/technical track of a project.

You will work with a top-notch tech team, working closely with the architect and engineering head. 

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Compass.

We at Compass strive to make selling fun with our SaaS incentive gamification product.  Compass is the #1 gamification software that automates and digitizes Sales Contests and Commission Programs. With game-like elements, rewards, recognitions, and complete access to relevant information, Compass turbocharges an entire salesforce. Compass also empowers Sales Managers with easy-to-publish game templates, leaderboards, and analytics to help accelerate performances and sustain growth.

We are a fun and high-energy team, with people from diverse backgrounds - united under the passion of getting things done. Rest assured that you shall get complete autonomy in your tasks and ample opportunities to develop your strengths.

If you find this role exciting and want to join us in Bangalore, India, then apply by clicking below. Provide your details and upload your resume. All received resumes will be screened, shortlisted candidates will be requested to join for a discussion and on mutual alignment and agreement, we will proceed with hiring.