Senior AI Engineer / Senior Machine Learning Specialist

Impronics Technologies; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Impronics Technologies in Gurugram is seeking a Senior AI Engineer to lead the design, development, and deployment of advanced AI/ML solutions. You will mentor teams and drive AI initiatives from concept to production across Generative AI, NLP, and CV, while ensuring scalable, secure deployments across enterprise‑scale applications.

The role requires hands-on experience with cloud-native AI services and modern ML frameworks, and a passion for building impactful AI systems that align with

Qualifications

• 6–9+ years of experience in AI/ML or Data Science.
• Proven end-to-end AI/ML solution delivery in production environments.
• Experience with cloud-native AI services and MLOps practices.
• Mentoring junior engineers and leading technical initiatives.
• Strong collaboration with cross-functional teams.

Responsibilities

• Lead design, development, deployment, and optimization of enterprise-scale AI/ML solutions.
• Architect scalable ML pipelines and production-ready AI systems.
• Build, train, fine-tune, evaluate, and deploy advanced ML/DL models.
• Drive initiatives in Generative AI, NLP, CV, and predictive analytics.
• Design end-to-end MLOps pipelines for deployment, monitoring, versioning, and improvement.
• Collaborate with product owners and data scientists to translate requirements into AI solutions.
• Mentor junior AI/ML engineers and data scientists.
• Perform data analysis, feature engineering, and model optimization.
• Ensure AI models are scalable, secure, and compliant with standards.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field

Tools

Python

R

Java

TensorFlow

PyTorch

Scikit-learn

OpenCV

Hugging Face Transformers

LangChain

LlamaIndex

NumPy

SQL

AWS AI/ML Services

Google Cloud Platform Vertex AI

Git

Docker

MLflow

Job description

6–9+ Years

Gurugram

Full-Time

About the Role

We are looking for a highly skilled Senior AI Engineer / Senior Machine Learning Specialist to lead the design, development, and deployment of advanced AI and Machine Learning solutions. The ideal candidate will have extensive hands‑on experience in building scalable AI systems, mentoring technical teams, and driving AI initiatives from concept to production. This role requires strong expertise in Generative AI, NLP, Computer Vision, MLOps, and cloud‑based AI solutions while collaborating with cross‑functional stakeholders to deliver business‑driven outcomes.

Key Responsibilities

• Lead the design, development, deployment, and optimization of AI/ML solutions for enterprise‑scale applications.
• Architect scalable Machine Learning pipelines and production‑ready AI systems.
• Build, train, fine‑tune, evaluate, and deploy advanced Machine Learning and Deep Learning models.
• Drive initiatives in Generative AI, Large Language Models (LLMs), NLP, Computer Vision, and predictive analytics.
• Design and implement end‑to‑end MLOps pipelines for model deployment, monitoring, versioning, and continuous improvement.
• Collaborate with product owners, business stakeholders, engineering teams, and data scientists to translate business requirements into AI‑driven solutions.
• Mentor and provide technical guidance to junior AI/ML engineers and data scientists.
• Perform advanced data analysis, feature engineering, model optimization, and performance tuning.
• Ensure AI models are scalable, secure, reliable, and aligned with organizational standards.
• Stay updated with emerging AI technologies, research, and industry best practices, driving innovation across projects.

Required Skills & Technology Stack

Programming Languages

• Python (Mandatory)
• R
• Java

AI/ML Frameworks & Libraries

• TensorFlow
• PyTorch
• Scikit‑learn
• OpenCV
• Hugging Face Transformers
• LangChain / LlamaIndex (Preferred)

Data & Analytics

• NumPy
• SQL
• AWS AI/ML Services
• Google Cloud Platform (Vertex AI)

DevOps & MLOps

• Git
• Docker
• MLflow

AI Expertise

• Generative AI
• Natural Language Processing (NLP)
• Computer Vision
• Recommendation Systems
• Prompt Engineering
• Retrieval‑Augmented Generation (RAG)
• AI Governance and Responsible AI

Required Experience

• 6–9+ years of experience in Artificial Intelligence, Machine Learning, or Data Science.
• Proven experience delivering end‑to‑end AI/ML solutions in production environments.
• Strong experience in designing scalable AI architectures and deploying enterprise‑grade ML models.
• Experience working with cloud‑native AI services and MLOps practices.
• Experience mentoring junior engineers and leading technical initiatives.
• Exposure to Agile development methodologies and cross‑functional collaboration.
• Excellent analytical, problem‑solving, and communication skills.

Preferred Certifications

• Google Professional Machine Learning Engineer
• TensorFlow Developer Certificate
• Databricks Machine Learning Professional (Preferred)

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.