Job Summary :

We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and AI solutions that address complex business problems. The ideal candidate should have strong hands-on experience in Python, Machine Learning, Generative AI, LLMs, and AI/ML deployment, with the ability to work across the complete AI/ML lifecycle.

Key Responsibilities :

- Design, develop, and deploy scalable Machine Learning and AI models for real-world business use cases.

- Build and optimize ML pipelines covering data preparation, feature engineering, model development, evaluation, and deployment.

- Develop solutions using Generative AI, Large Language Models (LLMs), NLP, and deep learning.

- Work with LLMs, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures.

- Integrate AI/ML models with enterprise applications and APIs.

- Fine-tune and evaluate ML/LLM models based on business requirements.

- Implement MLOps practices for model versioning, deployment, monitoring, and continuous improvement.

- Collaborate with Data Scientists, Software Engineers, Architects, Product Managers, and business stakeholders.

- Conduct model performance evaluation, optimization, and troubleshooting.

- Ensure AI solutions meet requirements around security, scalability, reliability, responsible AI, and data privacy.

- Stay current with emerging AI/ML technologies, frameworks, and industry best practices.

Required Skills :

- Strong programming experience in Python.

- Strong understanding of Machine Learning algorithms, statistics, and data structures.

- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent.

- Experience with Generative AI and LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or open-source models.

- Strong knowledge of Prompt Engineering, RAG, embeddings, vector databases, and AI agents.

- Experience with NLP, deep learning, or computer vision is an advantage.

- Experience developing and consuming REST APIs and microservices.

- Working knowledge of SQL and NoSQL databases.

- Experience with cloud platforms such as Azure, AWS, or GCP.

- Understanding of Docker, Kubernetes, CI/CD, and MLOps.

- Familiarity with Git and modern software development practices.

Preferred Qualifications :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

- 4+ years of relevant experience in AI/ML engineering or a related field.

- Experience building and deploying production-grade AI/ML solutions.

- Enterprise application development experience.

- Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or similar managed AI platforms.

- Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks is a plus.

- Experience with AI/ML model monitoring, evaluation, and optimization.

What You Bring :

- Strong problem-solving and analytical skills.

- Ability to translate business requirements into practical AI/ML solutions.

- Strong software engineering and debugging capabilities.

- Ability to work independently as well as collaboratively in a cross-functional environment.

- Good communication skills with the ability to explain complex AI concepts to technical and non-technical stakeholders.