Launch Your AI Career: ideyaLabs is Hiring Junior AI/ML Engineers (Freshers) in Hyderabad
The demand for Artificial Intelligence and Machine Learning professionals continues to grow exponentially. From predictive analytics to cutting-edge Generative AI, technology companies are actively seeking fresh talent to build the future of automated systems. If you are a 2024 or 2025 graduate passionate about data-driven solutions, this represents an excellent opportunity to establish your career in the tech industry.
ideyaLabs is currently hiring Junior AI/ML Engineers (Freshers) for their Hyderabad office. This role offers the chance to work on real-world data problems, develop end-to-end Machine Learning models, and gain practical experience in the rapidly expanding field of Generative AI.
Below is a comprehensive overview of the role, the required technical stack, and the application process.
Job Overview: Junior AI/ML Engineer
At ideyaLabs, junior engineers are actively integrated into the core development process. As a fresher in the AI/ML team, you will collaborate directly with senior engineers to design, build, and deploy intelligent solutions. Responsibilities include managing real-world datasets and contributing to modern AI applications, including highly sought-after RAG-based (Retrieval-Augmented Generation) systems.
Job Role: Junior AI/ML Engineer – Fresher
Experience Required: 0–1 Years (Entry-level / Freshers)
Job Location: Hyderabad (Work from Office)
Target Batch: 2024 & 2025 Passouts
Eligibility and Qualifications
To be eligible for this hiring drive, candidates must meet the following educational criteria:
Degree Programs: B.Tech / B.E. / B.Sc. / M.Tech
Academic Streams: Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or closely related technical disciplines.
Tech Stack and Key Skills Required
Success in this role requires a solid foundation in programming and a clear understanding of modern AI frameworks. The recruitment team is looking for candidates proficient in the following areas:
Core Programming and Data Science
Programming: Strong hands-on experience in Python.
Libraries: Proficiency in standard Data Science libraries, particularly NumPy, Pandas, and Scikit-learn.
Databases: Knowledge of SQL and NoSQL databases, alongside a foundational understanding of Vector Databases (e.g., ChromaDB).
Machine Learning and Artificial Intelligence
ML Algorithms: Solid understanding of Regression, Classification, and Clustering algorithms.
Deep Learning: Basic knowledge of Deep Learning and Neural Networks using enterprise frameworks such as TensorFlow or PyTorch.
Generative AI: Familiarity with modern Agentic AI concepts, Large Language Models (LLMs), and RAG pipelines.
Tools and Cloud Platforms
Version Control: Proficiency in Git and GitHub.
Cloud Computing: Basic architectural understanding of major cloud service providers like AWS, Microsoft Azure, or Google Cloud Platform (GCP).
How to Stand Out (Bonus Qualifications)
While the foundational skills listed above are mandatory, demonstrating proficiency in any of the following "Good to Have" areas will significantly strengthen your application:
Live Projects: Practical exposure to NLP (Natural Language Processing), Computer Vision, or Generative AI projects.
LLM Experience: Academic or personal projects that involve building RAG pipelines or LLM-powered applications.
MLOps Knowledge: A foundational understanding of Machine Learning Operations (MLOps), including model deployment, versioning, and monitoring.
Proof of Work: An active, well-maintained GitHub profile showcasing a robust portfolio of AI/ML projects.
How to Apply for the ideyaLabs AI/ML Role
If you possess strong analytical thinking, a problem-solving mindset, and a commitment to continuous learning in the AI space, you are encouraged to apply.
To submit your candidacy, email your updated resume and professional portfolio (GitHub links are highly recommended) directly to the ideyaLabs recruitment team:
Primary Email: Sruthik@ideyalabs.com
Alternative Email: careers@ideyalabs.com
Application Tip: Ensure your email subject line is clear, professional, and easily searchable for recruiters. A recommended format is: Application for Junior AI/ML Engineer - [Your Full Name] - [2024/2025 Passout]. Including a brief cover letter that highlights your most relevant AI project can also help differentiate your application.
If you found this job update valuable, consider sharing this post within your professional network or university groups to assist others seeking entry-level opportunities in Data Science and Artificial Intelligence.
