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/Machine Learning Engineer jobs
TW
Two95 International Inc.

Senior AI/ML Engineer- 7 years

LocationBengaluru, Karnataka, India
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentInformation Technology
Company size10,000+ people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have28
5+ years of experience in AI/ML development and deployment
Strong experience in machine learning, deep learning, Generative AI, MLOps, and cloud platforms such as AWS or Azure
Develop, train, evaluate, and deploy machine learning models for various business use cases
Build predictive analytics, recommendation systems, forecasting models, and anomaly detection solutions
Design and implement Generative AI applications using Large Language Models (LLMs)
Develop Retrieval-Augmented Generation (RAG) solutions and AI-powered chatbots
Perform data preprocessing, feature engineering, model tuning, and performance optimization
Build scalable data pipelines for AI and ML workloads
Deploy and manage machine learning models in production environments
Implement MLOps best practices, including model monitoring, versioning, and CI/CD automation
Collaborate with cross-functional teams to gather requirements and deliver AI solutions
Ensure model reliability, scalability, security, and compliance with organizational standards
Python, SQL
Machine Learning and Deep Learning
TensorFlow, PyTorch, Scikit-Learn
Generative AI, LLMs, Prompt Engineering
LangChain, LlamaIndex, RAG
Apache Spark / PySpark
Docker, Kubernetes
MLflow, Kubeflow
AWS or Azure Cloud
Git, CI/CD Pipelines
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
Experience building and deploying production-grade AI solutions
Strong analytical and problem-solving abilities
Excellent communication and stakeholder management skills
Ability to work independently and in a collaborative environment
Strong ownership mindset and attention to detail
Nice to have5
Experience with OpenAI, Llama, Claude, or similar LLMs
Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)
MLOps and Model Monitoring
Data Engineering and ETL Pipelines
AI Governance and Responsible AI
Skills
Python
SQL
TensorFlow
PyTorch
Scikit-Learn
LangChain
LlamaIndex
Apache Spark
PySpark
Docker
Kubernetes
MLflow
Kubeflow
AWS
Azure
Git
OpenAI
Llama
Claude
Pinecone
ChromaDB
Weaviate
FAISS
About the role
We are looking for a skilled AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong experience in machine learning, deep learning, Generative AI, MLOps, and cloud platforms such as AWS or Azure. The role involves working closely with Data Scientists, Data Engineers, and business stakeholders to build innovative AI-driven products and solutions.
Key Responsibilities:
•
Develop, train, evaluate, and deploy machine learning models for various business use cases.
•
Build predictive analytics, recommendation systems, forecasting models, and anomaly detection solutions.
•
Design and implement Generative AI applications using Large Language Models (LLMs).
•
Develop Retrieval-Augmented Generation (RAG) solutions and AI-powered chatbots.
•
Perform data preprocessing, feature engineering, model tuning, and performance optimization.
•
Build scalable data pipelines for AI and ML workloads.
•
Deploy and manage machine learning models in production environments.
•
Implement MLOps best practices, including model monitoring, versioning, and CI/CD automation.
•
Collaborate with cross-functional teams to gather requirements and deliver AI solutions.
•
Ensure model reliability, scalability, security, and compliance with organizational standards.
Required Skills:
•
Python, SQL
•
Machine Learning and Deep Learning
•
TensorFlow, PyTorch, Scikit-Learn
•
Generative AI, LLMs, Prompt Engineering
•
LangChain, LlamaIndex, RAG
•
Apache Spark / PySpark
•
Docker, Kubernetes
•
MLflow, Kubeflow
•
AWS or Azure Cloud
•
Git, CI/CD Pipelines
Preferred Skills:
•
Experience with OpenAI, Llama, Claude, or similar LLMs
•
Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)
•
MLOps and Model Monitoring
•
Data Engineering and ETL Pipelines
•
AI Governance and Responsible AI
Qualifications:
•
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
•
5+ years of experience in AI/ML development and deployment.
•
Experience building and deploying production-grade AI solutions.
Soft Skills:
•
Strong analytical and problem-solving abilities.
•
Excellent communication and stakeholder management skills.
•
Ability to work independently and in a collaborative environment.
•
Strong ownership mindset and attention to detail.
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