Job Title: AI/ML Engineer
Experience: 5+ Years
Location: Bangalore
Employment Type: Full-time
Job Summary
We are looking for an experienced AI/ML Engineer with 5+ years of hands-on experience in designing, developing, and deploying scalable AI and machine learning solutions. The ideal candidate should have strong expertise in Python, machine learning, deep learning, and production-grade model deployment, along with experience working with cloud platforms and modern AI technologies.
Key Responsibilities
- Design, develop, train, and deploy machine learning and AI models for business applications.
- Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model development, evaluation, and deployment.
- Analyze large and complex datasets to identify patterns and develop data-driven solutions.
- Optimize model performance, scalability, and accuracy.
- Develop and integrate ML models into applications through APIs and microservices.
- Work closely with Data Engineers, Software Engineers, Product Managers, and other stakeholders to deliver AI/ML solutions.
- Monitor model performance in production and implement continuous improvements.
- Build and maintain scalable ML solutions using cloud-based infrastructure.
- Implement best practices for MLOps, model versioning, CI/CD, and model monitoring.
- Research and evaluate emerging AI/ML technologies and identify opportunities for their practical application.
- Maintain technical documentation for models, pipelines, experiments, and deployment processes.
Required Skills:
- 5+ years of hands-on experience in AI/ML, Machine Learning Engineering, or a related field.
- Strong programming experience in Python.
- Strong understanding of Machine Learning algorithms, statistics, and data science concepts.
- Hands-on experience with Scikit-learn, TensorFlow, PyTorch, or similar ML frameworks.
- Strong experience with Pandas, NumPy, and other data processing libraries.
- Experience with SQL and working with large datasets.
- Strong understanding of model development, evaluation, optimization, and deployment.
- Experience developing and consuming REST APIs.
- Hands-on experience with at least one cloud platform — AWS, Azure, or GCP.
- Good understanding of Git, Docker, CI/CD, and software development best practices.
Good to Have:
- Experience with Generative AI, Large Language Models (LLMs), RAG, and Prompt Engineering.
- Hands-on experience with LangChain, LlamaIndex, Hugging Face, or similar frameworks.
- Experience with Vector Databases such as FAISS, Pinecone, Weaviate, or Milvus.
- Experience with MLOps tools and practices, including model monitoring and automated ML pipelines.
- Knowledge of Kubernetes and cloud-native architectures.
- Experience in NLP, Computer Vision, Deep Learning, or other AI domains.
- Experience working with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field.
Preferred Candidate
- Strong analytical and problem-solving skills.
- Ability to independently design and implement production-ready AI/ML solutions.
- Strong communication and collaboration skills.
- Experience taking ML/AI solutions from proof of concept to production.
- Ability to work in a fast-paced environment and manage multiple priorities.