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YASH Technologies off campus drive 2026 for Trainee – AI/ML Job freshers apply now . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
ABOUT COMPANY
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
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JOB DESCRIPTION
We are looking for a passionate AI/ML Fresher to join our team. The candidate will assist in developing, training, and deploying machine learning models, analyzing data, and supporting AI-driven solutions. Strong knowledge of Python, Machine Learning fundamentals, Data Structures, Statistics, and libraries such as Pandas, NumPy, and Scikit-learn is preferred. Candidates with academic projects or certifications in AI/ML are encouraged to apply.
Key Responsibilities
- Assist in Model Development: Help design, train, and fine-tune machine learning and deep learning models under supervision.
- Data Preparation: Clean, process, and transform raw datasets to build reliable data pipelines.
- Testing & Experimentation: Run localized experiments, evaluate accuracy metrics, and document performance results.
- Code Maintenance: Write clean, modular, and efficient code primarily in Python.
- Collaboration: Work alongside senior data scientists, backend developers, and product teams to integrate AI features.
- Continuous Learning: Stay updated with emerging AI tools, framework updates, and foundational LLM/RAG architectures.
Qualifications
- B.E./B.Tech/M.Tech in Computer Science, AI/ML, Data Science, IT, or related fields.
Required Qualifications
- Programming: Solid foundational knowledge of Python.
- Libraries & Frameworks: Familiarity with basic ML libraries like Scikit-learn, Pandas, NumPy, and introductory knowledge of TensorFlow or PyTorch.
- Core Concepts: Understanding of basic machine learning algorithms, linear algebra, probability, and statistics.
- Tools: Basic familiarity with Git/GitHub and command-line interfaces.
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