Software Engineer/ Sr Software Engineer

VT Netzwelt Pvt. Ltd.; Mohali; On-site; INR 900,000 - 1,500,000; Full time

Job summary

VT Netzwelt Pvt. Ltd. in Mohali is seeking an AI/ML Engineer to drive the full ML lifecycle from data exploration to model deployment and monitoring. You will work on real-world business problems using NLP, CV, time-series and recommender systems.

The role emphasizes production-ready ML, MLOps, and cloud-infrastructure expertise, with collaboration across product and engineering teams to deliver scalable AI solutions.

Qualifications

• 3–5 years of hands-on experience in Machine Learning, Data Science or AI/ML Engineering.
• Strong programming skills in Python.
• Experience with ML libraries and frameworks (scikit-learn, PyTorch/TensorFlow).
• Experience deploying ML models to production environments.
• Experience exposing ML models via REST APIs.
• Experience with Docker, Git and CI/CD pipelines.
• Experience with at least one cloud platform (AWS, Azure or GCP).

Responsibilities

• Design, develop and optimise machine learning and predictive models for real-world problems.
• Conduct data exploration, preprocessing, feature engineering and feature selection.
• Build solutions using regression, classification, clustering, forecasting and deep learning.
• Develop ML solutions involving NLP, Computer Vision, time-series or recommendations.
• Define evaluation strategies and metrics for ML problems.
• Tune hyperparameters, validate models and monitor performance in production.
• Create scalable batch and real-time inference pipelines.
• Build and maintain MLOps pipelines for training, deployment, versioning and monitoring.
• Collaborate with clients and cross-functional teams to translate business problems into AI/ML solutions.
• Evaluate new AI/ML technologies and rapidly build PoCs.

Skills

Python

ML/DL

Scikit-learn

Pandas

NumPy

PyTorch

TensorFlow

REST APIs

Docker

Git

CI/CD

Cloud platforms

SQL

NLP

Computer Vision

Time-series

Tools

Docker

Git

CI/CD tools

Job description

We are looking for a hands‑on AI/ML Engineer with strong expertise in Machine Learning, applied Data Science and production ML systems.

The ideal candidate should be capable of working across the complete ML lifecycle - from data exploration, preprocessing and feature engineering to model development, evaluation, optimisation, deployment and monitoring.

While Machine Learning is the primary focus of this role, the candidate should also have practical exposure to modern AI technologies such as LLMs, RAG, embeddings and AI-powered applications, enabling them to contribute across a broad range of AI/ML projects.

Key Responsibilities

Design, develop and optimise machine learning and predictive models for real-world business problems.

Perform data exploration, preprocessing, feature engineering and feature selection across structured and unstructured datasets.

Build solutions using regression, classification, clustering, ensemble methods, forecasting and deep learning.

Develop ML solutions involving NLP, Computer Vision, recommendation systems or time-series data based on project requirements.

Select appropriate algorithms and define evaluation strategies and metrics for different ML problems.

Perform hyperparameter tuning, model optimisation, validation and error analysis.

Build scalable batch and real-time inference pipelines.

Build and maintain MLOps pipelines covering training, deployment, model versioning, retraining, CI/CD and monitoring.

Monitor model accuracy, data/model drift, latency, cost and production reliability.

Work with cloud platforms and modern ML infrastructure to deploy scalable solutions.

Contribute to LLM/Generative AI applications, including RAG, embeddings, semantic search and AI integrations where required.

Collaborate with clients, Product, Data Engineering and Software Engineering teams to translate business problems into practical AI/ML solutions.

Evaluate new AI/ML technologies and rapidly build POCs to validate proposed approaches.

3-5 years of hands-on experience in Machine Learning, Data Science or AI/ML Engineering.

Strong programming skills in Python.

Strong understanding of supervised and unsupervised Machine Learning.

Hands-on experience with scikit-learn, Pandas and NumPy.

Practical experience with algorithms such as Linear/Logistic Regression, Random Forest, XGBoost/LightGBM, SVM and clustering techniques.

Strong understanding of feature engineering, feature selection, model validation, cross-validation, hyperparameter tuning and model optimisation.

Good understanding of ML evaluation metrics for classification, regression and ranking/prediction problems.

Hands-on experience with PyTorch and/or TensorFlow.

Good understanding of neural networks and Transformer architectures.

Experience with at least one area such as NLP, Computer Vision, time-series/forecasting or recommendation systems.

Strong working knowledge of SQL and experience working with large or messy real-world datasets.

Experience exposing ML models through REST APIs/FastAPI or similar frameworks.

Experience deploying and maintaining ML models in production.

Working experience with Docker, Git and CI/CD.

Experience with at least one cloud platform - AWS, Azure or GCP.

Understanding of MLOps, model monitoring, versioning, logging and data/model drift.

Preferred Skills

AI Agents and agentic workflows.

Graph RAG or advanced retrieval techniques.

Hugging Face Transformers.

MLflow, Kubeflow, Airflow, Prefect or similar.

Snowflake, Databricks or modern data platforms.

FAISS, pgvector, Pinecone, Qdrant or similar vector stores.

Distributed processing using Spark.

LLM/ML evaluation and observability.

Experience working directly with clients and participating in technical discovery.

About the Team

Our AI team focuses on building practical, purpose-driven solutions that integrate seamlessly into real-world business environments. We design and deploy generative AI systems that are technically robust, scalable, and aligned with business needs—enhancing efficiency without disrupting existing workflows. From identifying the right use cases to developing and refining solutions, we emphasize responsible innovation and delivering long-term value.

Why Join Us

Opportunity to work on impactful projects for global clients

Collaborative, growth-oriented, and learning-driven work environment

Strong focus on career development and continuous upskilling

Exposure to modern technologies, tools, and best practices