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AI Engineer

at TVS Next

Chennai, India Mid Posted 2026-04-22

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About this role

What you’ll do: Analyze large and complex datasets to discover trends, patterns, and insights. Apply statistical methods and machine learning techniques to extract valuable information from data. Develop and implement machine learning algorithms and models for predictive and prescriptive analysis. Utilize deep learning techniques for complex data analysis tasks. Utilize Python programming language and libraries such as numpy and pandas to manipulate data, conduct analysis, and develop machine learning models. Create compelling data visualizations using tools such as Matplotlib, Seaborn, or Tableau to communicate complex findings effectively. Present data-driven insights to stakeholders. Identify relevant features and perform feature engineering to enhance the performance of machine learning models. Evaluate the performance of machine learning models using appropriate metrics. Fine-tune models for optimal results. Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand business requirements and provide data-driven solutions. Maintain detailed documentation of data analysis processes, algorithms, and models. Ensure that documentation is clear, concise, and accessible to relevant team members. What you’ll need: 3 years as AI Engineer with expertise in Python, deep learning, algorithms, numpy, and data visualization tools. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Proficiency in Python programming and libraries such as numpy, pandas, and scikit-learn. Experience with deep learning frameworks such as TensorFlow or PyTorch. Strong SQL skills Strong mathematical and analytical skills. Excellent problem-solving abilities and attention to detail. Effective communication and presentation skills. Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

How to get this job at TVS Next

  1. Don't rely on the portal. Cold applications for a role like AI Engineer land in a pile of hundreds. A direct, personalised message to the hiring manager or a referrer is the fastest way in.
  2. Find the right person. ResuMail surfaces the actual recruiters and hiring managers at TVS Next — not a generic careers inbox.
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