AI Placement Drive

AI Engineer
11

Drive Date:

Apr 25-30, 2026

Eligibility Criteria:

  • B.E/B.Tech/M.Tech in CS, IT, or related field

  • 2024/2025 graduates

  • Minimum 7.5 CGPA or 75%

  • Strong foundation in statistics and mathematics

  • Experience with Python, ML libraries (scikit-learn, TensorFlow, PyTorch)

Description:

We are excited to announce our AI Placement Drive, aimed at candidates who are passionate about working with data, building intelligent systems, and applying machine learning to real-world problems. This drive offers an excellent opportunity to work at the intersection of analytics, algorithms, and business impact.

As a AI Engineer, you will analyze large datasets, build predictive models, and develop AI-driven solutions that support decision-making and product innovation. You’ll collaborate with engineers, product teams, and domain experts to transform data into actionable insights.

Job Description & Desired Skills

  • Strong foundation in statistics, mathematics, and data analysis

  • Proficiency in programming languages such as Python or R

  • Experience with data manipulation, visualization, and exploratory data analysis

  • Familiarity with machine learning algorithms, model evaluation, and basic deep learning concepts

  • Exposure to libraries and tools such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar

  • Understanding of data pipelines, databases, and cloud-based data tools is a plus

Potential Projects & Clients

  • Building predictive models and recommendation systems

  • Working on natural language processing, computer vision, or time-series analysis

  • Developing data dashboards and analytical tools for business teams

  • Projects across domains such as fintech, healthcare, retail, SaaS, marketing, and AI-driven products

Who Will Be a Good Match

  • Candidates curious about data, patterns, and intelligent systems

  • Final-year students, recent graduates, or early-career professionals in data science, computer science, or related fields

  • Individuals who enjoy problem-solving with data and experimentation

  • Self-driven learners who keep up with evolving AI and machine learning trends

Join us to work on data-powered and AI-driven solutions that create meaningful impact across industries.