AI/ML Engineer

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.