Gurgaon Haryana Senior ai engineer / senior machine learning specialist Jobs – 4 Open Jobs Today

Senior AI Engineer / Senior Machine Learning Specialist
IMPRONICS DIGITECH PRIVATE LIMITED —Gurugram, Haryana
- Azure
- Computer Science
- Java
Quick apply
Senior Technology Specialist
McDermott —Gurugram, Haryana
- Full-time
- Azure
- SQL
- Analysis skills
Kearney Value Realization - Enterprise Solution Architect (Value Assurance)
Kearney —Gurugram, Haryana
- Full-time
- SQL
- Machine learning
- APIs
- Health insurance
7d
Sr. Specialist - Quantitative & Risk Analytics 4D
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Quick apply
9d

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Senior AI Engineer / Senior Machine Learning Specialist

IMPRONICS DIGITECH PRIVATE LIMITED
Gurugram, Haryana

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Job details

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Computer Science
Kubernetes
Computer vision
Spark
NumPy
R
Git
Google Cloud Platform
Java
Master's degree
SQL
Pandas
AWS
Docker
Bachelor's degree
Machine learning
Continuous integration
Deep learning
Azure Certification
Mentoring
Natural language processing
OpenCV
Agile
Data science
Keras
AI
Communication skills
Python

Full job description

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
Keras
Scikit-learn
OpenCV
Hugging Face Transformers
LangChain / LlamaIndex (Preferred)

Data & Analytics

Pandas
NumPy
SQL
Apache Spark
Data Engineering concepts

Cloud Platforms

AWS AI/ML Services
Microsoft Azure AI Services
Google Cloud Platform (Vertex AI)

DevOps & MLOps

Git
Docker
Kubernetes
MLflow
CI/CD Pipelines
Model Monitoring & Deployment

AI Expertise

Machine Learning
Deep Learning
Generative AI
Large Language Models (LLMs)
Natural Language Processing (NLP)
Computer Vision
Recommendation Systems
Model Deployment & Optimization
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

Microsoft Certified: Azure AI Engineer Associate
AWS Certified Machine Learning – Specialty
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.

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