Uttar Pradesh Algorithm developer Jobs – 123 Open Jobs Today

AI/ML Engineer
Websenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
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19h

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AI/ML Engineer
Webkul Software Pvt. Ltd —Noida, Uttar Pradesh
Develop AI-powered solutions using LLMs, NLP, Computer Vision, or Generative AI technologies. Design, develop, and deploy AI/ML models for real-world business…
Up to ₹50,000 a month
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8d
AI/ML Engineer
Thrifty AI —Noida, Uttar Pradesh
If you enjoy moving fast, experimenting with frontier AI technologies, solving hard product problems, and shipping impactful AI products used by real customers,…
₹6,00,000 - ₹8,00,000 a year
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AI/ML Engineer

Websenor
Noida, Uttar Pradesh

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Job details

Full-time
19 hours ago

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Computer Science
Kubernetes
PyTorch
Computer vision
Git
Google Cloud Platform
Master's degree
Application development
AWS
Docker
Machine learning
Continuous integration
Deep learning
Natural language processing
Agile
Data science
Keras
AI
Jenkins
Communication skills
Python
Marketing
SDLC

Full job description

Senior AI/ML Developer

Experience: 8–10 Years (Relevant AI/ML Experience)
Employment Type: Full-Time

Job Summary

We are seeking an experienced Senior AI/ML Developer to design, develop, and deploy enterprise-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in Machine Learning, Generative AI, Large Language Models (LLMs), and cloud-native technologies. You will work closely with cross-functional teams to build scalable AI applications, automate intelligent workflows, and deliver production-ready AI solutions across the complete software development lifecycle.

Key ResponsibilitiesAI/ML Solution Development

Design, develop, and deploy scalable AI/ML models and applications for enterprise use cases.
Build production-ready machine learning pipelines and AI-powered software solutions.
Develop innovative solutions using Generative AI, Large Language Models (LLMs), and advanced machine learning techniques.
Optimize model performance, scalability, and reliability for real-world applications.

Generative AI & Large Language Models

Develop applications using OpenAI, Claude, Gemini, LangChain, AI Agents, RAG (Retrieval-Augmented Generation), and Vector Databases.
Implement prompt engineering, model fine-tuning, and intelligent automation solutions.
Build AI-powered conversational systems, recommendation engines, and content generation workflows.

Machine Learning & Data Science

Apply machine learning techniques including deep learning, NLP, NLU, computer vision, semantic understanding, intent classification, and speech recognition.
Design and evaluate ML models using statistical analysis, experimentation, and optimization techniques.
Develop data pipelines and support large-scale data processing for AI applications.

Cloud & MLOps

Deploy AI/ML solutions on AWS, Azure, or Google Cloud Platform (GCP).
Build automated CI/CD pipelines using Git, Jenkins, Docker, and Kubernetes.
Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
Collaborate with engineering teams to ensure secure, scalable, and reliable AI deployments.

Collaboration & Innovation

Work closely with product, engineering, and business teams to identify AI opportunities.
Support Agile development practices and continuous product delivery.
Research emerging AI technologies and recommend innovative solutions.
Promote AI/ML best practices, governance, and responsible AI development.

Required Skills

8–10 years of relevant experience in AI/ML Engineering.
Strong programming skills in Python and AI/ML application development.
Hands-on experience with OpenAI, Claude, Gemini, LangChain, AI Agents, RAG, Vector Databases, Prompt Engineering, and LLMs.
Experience with TensorFlow, PyTorch, Keras, Scikit-learn, and MLflow.
Strong understanding of Deep Learning, NLP, NLU, Computer Vision, Reinforcement Learning, and Machine Learning algorithms.
Experience with AWS, Azure, or Google Cloud Platform (GCP).
Hands-on knowledge of Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines.
Strong understanding of software engineering principles, Agile methodologies, and DevSecOps practices.
Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
Experience developing enterprise-scale AI/ML products and production-ready AI solutions.
Experience working with distributed, cross-functional, and global teams.
Knowledge of AI governance, ethics, and best practices.
Experience in marketing technology, content intelligence, or recommendation systems is an added advantage.

If you're passionate about building cutting-edge AI solutions and driving innovation through Machine Learning and Generative AI, we'd love to hear from you.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

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