Design, develop, deploy, and scale enterprise AI and machine learning solutions, including predictive models, recommendation engines, automation, and model-serving APIs. Build data pipelines and MLOps workflows, monitor model performance and drift, troubleshoot production systems, and implement responsible AI practices. Collaborate with technical and business stakeholders, contribute to architecture and code reviews, and mentor junior engineers while applying cloud-native technologies.
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!
TVS Next Chennai, Tamil Nadu, IND Office
Chennai, India
Similar Jobs
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Build and deploy AI-powered solutions for enterprise and campus customers. Scope environments, prototype agentic AI applications, design secure multi-tenant and hybrid architectures, and harden successful prototypes into production. Own identity, encryption, networking, CI/CD, observability, and production support within customer environments. Collaborate with product, AI, data, and program teams to standardize repeatable solutions. The role is highly customer-facing and requires regular domestic and occasional international travel.
Top Skills:
Api GatewaysAWSAws PrivatelinkCi/CdDockerDuckdbEncryptionFastmcpIamJavaKafkaKey ManagementKubernetesLangchainLanggraphMcpMtlsObservabilityPgvectorPostgresPythonRagTypescriptVpc Peering
Fintech • Payments • Software • Financial Services • Automation
Design, build, and operate production-grade backend services using Node.js and TypeScript. Integrate LLMs and AI services, develop RESTful APIs and data layers, implement RAG pipelines with vector databases, and apply agentic workflows. Maintain automated testing with Jest and Playwright, deploy services on Azure or AWS, and support scalable systems for banking and fintech clients with strong reliability, security, and auditability requirements.
Top Skills:
AWSAws BedrockAzureAzure OpenaiExpress.JsJestLangchainLanggraphMongoDBNode.jsOpenai ApiPlaywrightPostgresRagRedisRest ApisTypescriptVector Databases
Information Technology • Business Intelligence • Consulting
Design, develop, test, and deploy cloud-native microservices and APIs that run ML/AI algorithms on structured and unstructured telemetry data. Contribute code, automated tests, CI/CD pipelines, containerized deployments, and documentation while collaborating with product teams and geo-distributed stakeholders.
Top Skills:
AWSCC#C++CassandraCi/CdDockerElasticsearchGCPJavaJavaScriptKubernetesLxcLxdMicroservicesAzureMicrosoft Office 365Ml/AiMongoDBNode.jsNoSQLPythonRestful ApisSQL
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
