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Open nowPosted 62 days ago

Sr. AI Developer

TVS Next41 open roles

Where
Chennai
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Your applicationOpen nowSr. AI DeveloperTVS Next · Chennai

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on TVS Next's own form.

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 62 days ago

The posting

What You'll Do

As a Senior AI Engineer, you will design, develop, deploy, and scale enterprise-grade AI and Machine Learning solutions that drive intelligent automation and business transformation.

  • Design and develop end-to-end AI/ML solutions for real-world business problems.
  • Build predictive models, classification systems, recommendation engines, and intelligent automation solutions.
  • Apply supervised, unsupervised, and deep learning techniques based on business requirements.
  • Develop and optimize data pipelines, feature engineering, and model training workflows.
  • Evaluate and improve model accuracy, scalability, robustness, and business impact.
  • Build and deploy scalable model-serving APIs using Python, FastAPI, Flask, or similar frameworks.
  • Deploy AI solutions using Docker, microservices, CI/CD pipelines, and cloud-native architectures.
  • Monitor model performance, data quality, model drift, and retraining requirements.
  • Troubleshoot production issues across AI models, APIs, and data pipelines.
  • Apply MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
  • Implement Responsible AI practices, including explainability, bias mitigation, governance, and security.
  • Collaborate with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders.
  • Mentor junior engineers and contribute to architecture, code reviews, and technical best practices.
  • Stay current with emerging AI, Generative AI, LLM, and cloud technologies.

What We Seek In You

  • 5–8 years of experience in AI Engineering, Machine Learning, Applied AI, or related fields.
  • Strong hands-on expertise in Python and SQL.
  • Machine Learning and Deep Learning
  • Supervised and Unsupervised Learning
  • Feature Engineering and Model Evaluation
  • Model Optimization and Validation
  • Hands-on experience with TensorFlow, PyTorch, Keras, Scikit-learn, NumPy, and Pandas.
  • Experience building and deploying production-grade AI/ML applications.
  • Strong experience with FastAPI, Flask, REST APIs, and Microservices.
  • Hands-on experience with Docker, Git, CI/CD, and cloud-native deployments.
  • Experience with at least one major cloud platform: Azure, AWS, or GCP.
  • Experience with AI/ML platforms such as Azure Machine Learning, AWS SageMaker, or Vertex AI.
  • Strong understanding of MLOps, model monitoring, model drift, and retraining workflows.
  • Excellent problem-solving, debugging, communication, and stakeholder management skills.
  • Ability to translate complex business challenges into scalable AI-powered solutions.

Preferred Qualifications

  • Experience with Generative AI, Large Language Models (LLMs), RAG, and NLP.
  • Exposure to Computer Vision and advanced AI use cases.
  • Experience with MLOps tools such as MLflow, Kubeflow, or Apache Airflow.
  • Familiarity with Apache Spark and Big Data technologies.
  • Understanding of Responsible AI, Explainable AI (XAI), AI Governance, and AI Ethics.
  • Experience designing scalable, secure, and cloud-native AI architectures.
  • Experience in domains such as Manufacturing, Automotive, Supply Chain, Financial Services, Healthcare, or Enterprise Analytics.

Life at Next

At Next, we enable high-growth enterprises to transform their vision into reality through technology, data, and AI. We foster a culture of agility, innovation, continuous learning, and hands-on leadership.

Perks of Working With Us

  • Clear career growth and accelerated learning opportunities.
  • Exposure to customers, product leaders, and emerging technologies.
  • Continuous learning and upskilling through Nexversity.
  • Mentorship and opportunities to explore diverse technologies and functions.
  • Hybrid work model supporting work-life balance.
  • Comprehensive family health insurance.
  • A collaborative environment focused on innovation, ownership, and growth.

Join our passionate team and tailor your growth with us!

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