Senior AI Engineer

TVS Next; Chennai District; Hybrid; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Hybrid work model

Family health insurance

Job summary

TVS Next invites an experienced AI/ML engineer to join our Data & AI team in Chennai. You will develop, train, and optimize models for classification, forecasting, and anomaly detection across enterprise transformations.

You will work with time-series data to enable predictive maintenance and operational intelligence within scalable feature pipelines. You will design deep learning models using PyTorch/TensorFlow, build computer vision solutions for defect detection, and develop Generative AI

Qualifications

• 5+ years of experience in Machine Learning Engineering, Data Science, AI Engineering, or Applied AI development.
• Strong programming expertise in Python and modern AI development frameworks.
• Solid understanding of machine learning fundamentals including supervised, unsupervised, and probabilistic learning techniques.
• Hands-on experience with Scikit-learn, PySpark, Pandas, NumPy, Airflow, Kafka, and related data engineering libraries.
• Experience building and deploying machine learning models in enterprise environments.
• Strong expertise in feature engineering, exploratory data analysis, model validation, and performance optimization.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
• Good understanding of computer vision concepts including image classification, object detection, feature extraction, and visual analytics.
• Experience developing Generative AI solutions using LLMs, embeddings, vector databases, and prompt engineering techniques.
• Hands-on exposure to Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge systems.
• Experience designing and implementing AI agents, multi-agent systems, and workflow automation frameworks.
• Strong understanding of advanced reasoning methodologies including ReAct, Chain-of-Thought (CoT), Tree-of-Thought (ToT), reflection-based prompting, and structured reasoning.
• Experience with LangGraph, orchestration frameworks, or agent workflow design is preferred.
• Knowledge of SQL, data modeling, and data querying techniques.
• Experience working in Linux or WSL environments.
• Understanding of MLOps practices including model deployment, monitoring, drift detection, CI/CD, version control, and automation.
• Exposure to Docker, MLflow, cloud-native AI platforms, or containerized deployments is an added advantage.
• Experience working with predictive maintenance, industrial IoT, manufacturing analytics, quality inspection, or operational intelligence solutions is preferred.
• Knowledge of financial analytics, cost optimization, performance benchmarking, or business intelligence use cases is desirable.
• Strong analytical thinking, structured problem-solving, and critical reasoning capabilities.
• Excellent communication, collaboration, and stakeholder engagement skills.

Responsibilities

• Develop, train, and optimize machine learning models for classification, regression, forecasting, clustering, anomaly detection, recommendation systems, and predictive analytics use cases.
• Work with time-series, multivariate sensor data, and operational datasets to build predictive maintenance, machine health monitoring, and operational intelligence solutions.
• Design and implement scalable feature engineering pipelines, including statistical, rolling-window, and domain-specific transformations.
• Apply advanced statistical and probabilistic techniques including Bayesian inference, uncertainty estimation, and simulation-based modeling where appropriate.
• Build and fine-tune deep learning models using PyTorch or TensorFlow for enterprise AI applications.
• Develop computer vision solutions for visual inspection, defect detection, image classification, object detection, and pattern recognition use cases.
• Design and manage image and video processing pipelines, including preprocessing, augmentation, labeling, and model evaluation workflows.
• Develop Generative AI solutions leveraging Large Language Models (LLMs) for document summarization, conversational AI, knowledge retrieval, and insight generation.
• Implement Retrieval-Augmented Generation (RAG) architectures, embedding-based semantic search, and enterprise knowledge retrieval solutions.
• Design, develop, and deploy AI agents capable of tool usage, multi-step reasoning, workflow execution, and intelligent decision support.

Skills

Python

Machine Learning

Deep Learning

Computer Vision

Generative AI

RAG

LangGraph

SQL

Linux/WSL

MLOps

Docker

MLflow

Cloud Platforms

PyTorch

TensorFlow

Spark/Kafka

Tools

PyTorch

TensorFlow

Scikit-learn

Pandas

NumPy

Airflow

Kafka

PySpark

Docker

LangGraph

MLflow

Job description

• You will join our high-performance Data & AI team and contribute to building intelligent AI, Machine Learning, Computer Vision, Generative AI, and Agentic AI solutions that drive measurable business outcomes across enterprise transformation initiatives.
• Develop, train, and optimize machine learning models for classification, regression, forecasting, clustering, anomaly detection, recommendation systems, and predictive analytics use cases.
• Work with time-series, multivariate sensor data, and operational datasets to build predictive maintenance, machine health monitoring, and operational intelligence solutions.
• Design and implement scalable feature engineering pipelines, including statistical, rolling-window, and domain-specific transformations.
• Apply advanced statistical and probabilistic techniques including Bayesian inference, uncertainty estimation, and simulation-based modeling where appropriate.
• Build and fine-tune deep learning models using PyTorch or TensorFlow for enterprise AI applications.
• Develop computer vision solutions for visual inspection, defect detection, image classification, object detection, and pattern recognition use cases.
• Design and manage image and video processing pipelines, including preprocessing, augmentation, labeling, and model evaluation workflows.
• Develop Generative AI solutions leveraging Large Language Models (LLMs) for document summarization, conversational AI, knowledge retrieval, and insight generation.
• Implement Retrieval-Augmented Generation (RAG) architectures, embedding-based semantic search, and enterprise knowledge retrieval solutions.
• Design, develop, and deploy AI agents capable of tool usage, multi-step reasoning, workflow execution, and intelligent decision support.
• Implement advanced reasoning techniques including Chain-of-Thought (CoT), Self-Consistency, Reflection, ReAct, and Structured Reasoning patterns to improve AI reliability and performance.
• Develop tool-augmented AI workflows that integrate reasoning, validation, execution, and iterative optimization.
• Design memory-augmented AI systems utilizing vector databases, episodic memory, semantic memory, and hierarchical retrieval strategies.
• Implement agent evaluation frameworks including reasoning trace analysis, tool usage effectiveness, response quality scoring, and performance monitoring.
• Monitor AI systems for cost optimization, latency management, token usage, model quality, and operational efficiency.
• Build reusable data engineering pipelines for ingestion, cleansing, transformation, and processing of data from enterprise systems, APIs, databases, image streams, and industrial environments.
• Develop and maintain automated workflows for model training, deployment, monitoring, and retraining using modern MLOps practices.
• Design multi-agent systems with planner-executor-validator architectures and human-in-the-loop controls.
• Leverage LangGraph and orchestration frameworks to build scalable agent workflows supporting branching logic, retries, state management, and conditional execution.
• Support financial, operational, and business analytics initiatives through AI-powered insights, decision support, and scenario modeling solutions.
• Collaborate with architects, product teams, data engineers, business stakeholders, and domain experts to translate business challenges into scalable AI solutions.
• Document models, architectures, assumptions, APIs, workflows, and best practices to ensure maintainability and knowledge sharing.

What We Seek In You

• 5+ years of experience in Machine Learning Engineering, Data Science, AI Engineering, or Applied AI development.
• Strong programming expertise in Python and modern AI development frameworks.
• Solid understanding of machine learning fundamentals including supervised, unsupervised, and probabilistic learning techniques.
• Hands-on experience with Scikit-learn, PySpark, Pandas, NumPy, Airflow, Kafka, and related data engineering libraries.
• Experience building and deploying machine learning models in enterprise environments.
• Strong expertise in feature engineering, exploratory data analysis, model validation, and performance optimization.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
• Good understanding of computer vision concepts including image classification, object detection, feature extraction, and visual analytics.
• Experience developing Generative AI solutions using LLMs, embeddings, vector databases, and prompt engineering techniques.
• Hands-on exposure to Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge systems.
• Experience designing and implementing AI agents, multi-agent systems, and workflow automation frameworks.
• Strong understanding of advanced reasoning methodologies including ReAct, Chain-of-Thought (CoT), Tree-of-Thought (ToT), reflection-based prompting, and structured reasoning.
• Experience with LangGraph, orchestration frameworks, or agent workflow design is preferred.
• Knowledge of SQL, data modeling, and data querying techniques.
• Experience working in Linux or WSL environments.
• Understanding of MLOps practices including model deployment, monitoring, drift detection, CI/CD, version control, and automation.
• Exposure to Docker, MLflow, cloud-native AI platforms, or containerized deployments is an added advantage.
• Experience working with predictive maintenance, industrial IoT, manufacturing analytics, quality inspection, or operational intelligence solutions is preferred.
• Knowledge of financial analytics, cost optimization, performance benchmarking, or business intelligence use cases is desirable.
• Strong analytical thinking, structured problem-solving, and critical reasoning capabilities.
• Excellent communication, collaboration, and stakeholder engagement skills.
• Ability to operate effectively in fast-paced, innovation-driven, and evolving AI environments.
• Passion for emerging AI technologies, continuous learning, and building impactful enterprise solutions.

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!