Senior AI/ML Engineer- 7 years
At a glance
Senior Machine Learning Engineering role at Two95 International Inc. Bengaluru.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build, test and put machine learning models into use for business problems, including forecasting and anomaly detection
- Create applications with large language models, including retrieval-augmented systems and AI chatbots
- Prepare data, shape useful features and tune models to improve performance
- Run AI workloads through scalable data pipelines and manage models after deployment
- Set up model monitoring, version control and automated CI/CD practices for production systems
What you bring
- At least five years developing and deploying AI/ML solutions, including production systems
- A bachelor's or master's degree in computer science, AI, data science or a related area
- Working knowledge of Python, SQL, machine learning, deep learning and a listed cloud platform
- Experience with LLMs, RAG and tools such as LangChain or another listed framework
Who this fits
This senior role suits an engineer who can take AI solutions from development through production and work with data teams and business stakeholders. The position is onsite in Bengaluru.
From the employer
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.