Starting a career in machine learning and artificial intelligence with a global technology company can shape your professional journey with cutting-edge experience, real project exposure, and career acceleration. is currently hiring for the position of Machine Learning Engineer I in Bangalore, India, open to graduates from the 2021, 2022, 2023, 2024, and 2025 batches. This role gives fresh graduates and early-career professionals a strong platform to learn, innovate, and build systems that impact real-world AI and data products.
Aarki uses data, machine learning, and automation to drive intelligent advertising solutions across mobile platforms for global clients. Working here means you’ll engage in real engineering challenges while helping evolve the company’s AI and analytics capabilities.
About Aarki as an Employer
Aarki is a technology company at the intersection of advertising, machine learning, and predictive analytics. The company builds AI-driven systems to optimize ad campaigns, user engagement, and monetization on mobile platforms. From an experience and trust perspective, Aarki is recognized for its focus on innovation, scalable systems, and collaborative engineering culture.
Engineers at Aarki work with modern tech stacks, real-time data streams, and algorithmic models that power actionable insights and automated decision systems for clients worldwide. For fresh graduates, this role provides real exposure to both core machine learning engineering and full-cycle product development.
Job Overview – Machine Learning Engineer I
The Machine Learning Engineer I role is an entry-level engineering position designed to help early-career professionals build a solid foundation in machine learning, data processing, and intelligent system design. This role is based in Bangalore, India, and is open to recent graduates from the 2021 through 2025 batches, including both freshers and recent job entrants.
Key job details include:
- Job Title: Machine Learning Engineer I
- Experience Level: Freshers / Early Career
- Eligible Graduation Years: 2021, 2022, 2023, 2024, 2025
- Job Location: Bangalore, India
- Employment Type: Full-time
- Domain: Machine Learning / AI / Data Engineering
This role is ideal for graduates looking to apply machine learning in real engineering systems that support intelligent decision-making and automated workflows.
Purpose of the Machine Learning Engineer I Role
The primary purpose of this role is to assist in developing, deploying, and maintaining machine learning models and AI systems that power Aarki’s advertising and prediction engines. As a Machine Learning Engineer I, you will build production-ready models, refine algorithms based on data, and help automate performance and optimization tasks.
This position helps early career professionals transition from academic understanding to professional execution of ML systems.
Roles and Responsibilities
In this role, you will contribute to both engineering and machine learning tasks that form the backbone of Aarki’s technology offerings.
Key responsibilities typically include:
- Assisting in the design and implementation of machine learning models and algorithms
- Participating in data preprocessing, cleaning, and exploration tasks
- Writing efficient, well-tested code to support model training and deployment
- Supporting model evaluation, performance benchmarking, and hyperparameter tuning
- Working with large datasets and distributed data pipelines
- Collaborating with engineering, data science, and product teams to integrate models into production systems
- Monitoring model performance and suggesting improvements based on metrics
- Assisting in the deployment of models on cloud or containerized environments
- Learning and applying best practices for MLOps and scalable machine learning systems
This blend of responsibilities helps new engineers gain both practical coding experience and conceptual clarity in machine learning systems.
Eligibility Criteria and Educational Background
Aarki is looking for candidates with strong fundamentals in math, programming, and statistics — the core pillars of machine learning engineering.
Eligibility requirements include:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or related fields
- Graduation years between 2021 and 2025
- Strong programming skills (Python, Java, or similar languages)
- Knowledge of basic machine learning concepts and algorithms
- Understanding of data structures, probability, optimization, and statistics
- Familiarity with SQL and database querying
Prior internships or project work in machine learning, AI, or data engineering is a plus but not mandatory.
Technical Skills and Tools You Should Have
To succeed in this role, you should be comfortable with the following tools and concepts:
Core technical skills:
- Programming: Python, with familiarity in libraries such as NumPy, Pandas, and Scikit-Learn
- Machine Learning: Supervised and unsupervised learning fundamentals
- Model Evaluation: Cross-validation, metrics (accuracy, precision, recall, F1, AUC)
- Data Management: SQL, data cleaning, feature engineering
- ML Frameworks: TensorFlow, PyTorch, XGBoost, or similar (preferred)
- Cloud / Production: Basic understanding of cloud services (AWS/GCP/Azure) and containerization (Docker)
You will have the opportunity to expand your skills further through exposure to real production workloads and collaborative projects.
Important Soft Skills
Alongside technical knowledge, the following attributes will help you succeed:
- Strong analytical and logical thinking
- Curiosity and eagerness to learn new concepts quickly
- Professional communication skills (written and verbal)
- Problem-solving mindset and ownership of tasks
- Ability to work collaboratively in cross-functional teams
- Time management and prioritization
These soft skills are just as critical as technical skills in a real engineering environment.
Work Culture and Professional Environment
Aarki promotes a culture of continuous innovation, learning, and collaboration. Engineers often work together in small teams, share knowledge through code reviews, and participate in learning circles. The company encourages experimentation, thoughtful design, and evidence-based decision-making when building models and solutions.
Working at Aarki gives you exposure to a professional engineering environment where quality, scalability, and performance are high priorities.
Career Growth and Future Opportunities
Starting as a Machine Learning Engineer I at Aarki opens multiple growth pathways.
Potential career progression includes:
- Machine Learning Engineer II
- Senior Machine Learning Engineer
- Data Scientist / AI Specialist
- MLOps Engineer or Solutions Architect
- Lead Data Engineer or Technical Team Lead
With experience, you can also move into strategic roles in data science, product development, or even leadership positions within analytics and AI.
Selection Process Overview
While the exact selection process may vary, candidates typically go through the following stages:
- Online application submission
- Resume screening based on qualifications and skills
- Technical assessment (coding, ML concepts, logical problems)
- Technical interviews with engineering and data teams
- Final discussion or HR round
Preparing for basic machine learning fundamentals, coding questions, and clear communication of thought processes will boost your performance.
How to Apply for Aarki Machine Learning Engineer I Role
Candidates should apply only through the official Aarki careers portal to ensure authenticity and secure processing.
Steps to apply:
- Visit the official job listing on Greenhouse
- Review the job description and eligibility criteria carefully
- Click on the “Apply” button
- Fill in accurate personal, educational, and contact details
- Upload an updated resume and any relevant portfolios or project links
- Submit your application and wait for confirmation
Joining Aarki as a Machine Learning Engineer I gives you a strong start in AI and data engineering, helps you build real industry experience, and positions you for long-term growth in one of the most in-demand technical fields today.
