AI/ML Engineer

About the role:

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 pre processing, 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.

Preferred Qualifications:

• 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.
• 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.