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Senior AI/ML Developer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
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9d
SSE- Java- SAP Java Connector (JCo)
CLOUDSUFI —Noida, Uttar Pradesh
- Up to ₹35,00,000 a year
- Full-time
- Hybrid work
- Oracle
- Java
- APIs
- Paid time off
- Work from home
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SSE- Java- SAP Java Connector (JCo)
CLOUDSUFI —Noida, Uttar Pradesh
You will design and implement robust, high-performance Java applications that serve as the bridge between multiple platforms. Pay: Up to ₹3,500,000.00 per year.
Up to ₹35,00,000 a year
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1h

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Senior AI/ML Developer

WebSenor InfoTech -
Noida, Uttar Pradesh

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Job details

Full-time
9 days ago

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Computer Science
Kubernetes
Big data
DevOps
Spark
Git
Google Cloud Platform
Master's degree
AWS
Docker
Bachelor's degree
Machine learning
Terraform
Continuous integration
REST
Natural language processing
Scrum
Software development
GitHub
APIs
Agile
Kafka
Data science
Keras
Flask
AI
Communication skills
Python
Data Science

Full job description

Job Title: Senior AI/ML Developer

Experience: 6–10 Years
Employment Type: Full-Time

Position Summary

We are seeking a highly skilled Senior AI/ML Developer to design, develop, deploy, and optimize enterprise-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate will have hands-on experience with AI/ML frameworks, MLOps, DevOps, and cloud platforms such as AWS, Azure, and GCP. This role involves building scalable machine learning pipelines, deploying production-ready models, and collaborating with cross-functional teams to deliver intelligent, data-driven applications.

Key Responsibilities

Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.
Build end-to-end AI/ML solutions using TensorFlow, PyTorch, Keras, and Scikit-learn.
Develop scalable data preprocessing, feature engineering, and model training pipelines.
Implement MLOps best practices using MLflow for experiment tracking, model versioning, and lifecycle management.
Deploy AI/ML models into production using CI/CD pipelines and DevOps practices.
Design and manage cloud-native AI solutions on AWS, Azure, and GCP.
Optimize model performance, scalability, and inference latency.
Collaborate with Data Scientists, Data Engineers, DevOps Engineers, and Product Teams to deliver AI-powered solutions.
Monitor production models for accuracy, drift detection, and continuous improvement.
Develop APIs and microservices for AI model serving and integration.
Maintain documentation, coding standards, and technical best practices.
Participate in architecture discussions, code reviews, and Agile development processes.

Required Skills

Technical Skills (Must Have)

Python
TensorFlow
PyTorch
Keras
Scikit-learn
MLflow
AI/ML Frameworks
Machine Learning
Deep Learning
MLOps
DevOps & CI/CD
Docker
Kubernetes
REST APIs
Git/GitHub

Cloud Platforms

AWS
Microsoft Azure
Google Cloud Platform (GCP)

Machine Learning Expertise

Supervised & Unsupervised Learning
Feature Engineering
Model Training & Evaluation
Hyperparameter Tuning
Model Deployment
Model Monitoring
Explainable AI (XAI)

Good to Have

Generative AI and Large Language Models (LLMs)
LangChain or LlamaIndex
Retrieval-Augmented Generation (RAG)
Vector Databases (Pinecone, FAISS, ChromaDB)
Apache Spark / PySpark
Airflow
NLP and Computer Vision
Kafka
Terraform
FastAPI or Flask

Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
6–10 years of software development experience with at least 4+ years in AI/ML development.
Strong experience building and deploying production-grade machine learning solutions.
Hands-on experience with MLflow and MLOps practices.
Experience deploying AI workloads on AWS, Azure, or GCP.
Strong understanding of software engineering principles, DevOps, and CI/CD.
Excellent analytical, communication, and problem-solving skills.

Preferred Qualifications

Experience with Generative AI, LLMs, and AI Agent development.
Experience with distributed training and large-scale ML workloads.
Knowledge of data engineering tools and big data ecosystems.
AI/ML or Cloud certifications (AWS, Azure, or Google Cloud) are preferred.
Experience working in Agile/Scrum environments.

What We Offer

Opportunity to build cutting-edge AI and Machine Learning solutions for enterprise applications.
Exposure to the latest AI, MLOps, and cloud technologies.
Collaborative and innovation-driven work environment.
Career growth through challenging AI transformation projects.
Competitive compensation and comprehensive employee benefits.

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

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