Haryana Senior software engineer – python & cloud Jobs – 139 Open Jobs Today

Senior AI/ML Engineer
Antino Labs Private Limited —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- System design
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1h
Software Engineer
National Westminster Bank PLC —Gurugram, Haryana
- From ₹27,090 a month
- Full-time
- Java
- AWS
- JavaScript
5h
Sr. Data Engineer
Shree Hr services —Gurugram, Haryana
- ₹15,00,000 - ₹30,00,000 a year
- Full-time
- Hybrid work
- Azure
- Databases
- SQL
Quick apply
6h
Python Developer (Data Test Engineer/ Back office)
Acuity Knowledge Partners —Gurugram, Haryana
- Full-time
- Azure
- Oracle
- SQL
1d
Tech Lead Manager
Aurora Energy Research —Gurugram, Haryana
- Full-time
- Hybrid work
- SQL
- AWS
- Mentoring
Executive/ Assistant Manager Senior Full Stack Engineer
Macquarie Group Limited —Gurugram, Haryana
- Full-time
- Remote
- Java
- AWS
- JavaScript
- Health insurance
- Paid time off
Senior Power System Engineer (Flow Battery)
VFlowTech —Haryana
- Doctoral degree
- Research
- C++
- Health insurance
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Associate – Gen AI Full stack Engineer
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- SQL
- AWS
Quick apply

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Senior AI/ML Engineer

Antino Labs Private Limited -
Gurugram, Haryana

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Job details

Full-time
1 hour ago

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Law
Computer Science
Software design
Kubernetes
PyTorch
Computer vision
System design
Google Cloud Platform
Master's degree
OOP
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Continuous integration
Deep learning
Mentoring
Natural language processing
APIs
Data science
AI
Python

Full job description

Job Description:

We are seeking a highly skilled and versatile Machine Learning Engineer (with GenAI expertise) who combines strong software engineering fundamentals with deep experience in machine learning and modern Generative AI systems. The ideal candidate will design, develop, and maintain scalable AI-powered applications using Python, with a strong emphasis on Object-Oriented Programming principles.

You will play a key role in building end-to-end AI systems, including LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and agent-based workflows, alongside traditional ML models. This role demands strong analytical thinking, coding expertise, architectural design skills, and a deep understanding of the full ML and GenAI lifecycle—from data processing and model development to deployment, monitoring, and optimization.

Key Responsibilities:

Core ML Engineering
Write clean, efficient, and well-documented Python code following OOP principles (encapsulation, inheritance, polymorphism, abstraction).
Build and manage end-to-end ML pipelines: data ingestion, preprocessing, model training, evaluation, and deployment.
Develop scalable ML systems using frameworks like PyTorch, TensorFlow, and Scikit learn.
Generative AI (GenAI) LLM Systems
Design and implement LLM-based applications (chatbots, copilots, automation tools).
Build and optimize RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate).
Develop agentic workflows using frameworks like LangChain, LlamaIndex, or similar.
Implement prompt engineering, structured output generation, and tool/function calling.
Fine-tune or optimize LLMs using techniques like LoRA, QLoRA, or instruction tuning.
Work with open-source and proprietary LLMs (e.g., LLaMA, Mistral, GPT, Qwen).
Software Design Architecture
Design modular, scalable, and maintainable ML and GenAI systems.
Build APIs and microservices for model serving and GenAI applications.
Contribute to architectural decisions for AI platforms and products.
Data Engineering for AI
Build data pipelines for feature engineering, transformation, and dataset versioning.
Manage structured and unstructured data (documents, embeddings, logs).
MLOps LLMOps
Implement CI/CD pipelines for ML and GenAI systems.
Manage model and prompt versioning, experiment tracking, and reproducibility.
Monitor systems for performance, drift, hallucinations, latency, and cost.
Implement guardrails, evaluation frameworks, and feedback loops for LLMs.
Performance Scalability
Optimize inference latency and cost for ML and LLM systems.
Ensure scalability under production workloads (batch + real-time).
Documentation
Create clear documentation for ML models, GenAI pipelines, APIs, and workflows.

Qualifications

Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, or related field.
5years of experience in AI/ML engineering, with 2–3 years in a lead role.
Strong expertise in Python, system design, and scalable AI/ML architecture.
Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
Strong knowledge of NLP, Computer Vision, Generative AI, LLMs, and deep learning models.
Experience with Docker, Kubernetes, MLOps, CI/CD, and cloud platforms like Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
Strong leadership, stakeholder management, and team mentoring skills.

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senior software engineer – python & cloud jobs in haryana

Senior AI/ML Engineer

Software Engineer

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Executive/ Assistant Manager Senior Full Stack Engineer

Senior Power System Engineer (Flow Battery)

Associate – Gen AI Full stack Engineer

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