About Antino :

With the intention and conviction of emerging as an unparalleled IT Digital Transformation Services platform, we at Antino Labs are known for providing impeccable software services using cutting edge technology across the globe. Without ever compromising with the quality of our output and bringing talent and diligence on a common platform, we have been noticed for our efficiency and reliability. With dynamic exposure to the industry, we believe in refining and redefining our standard according to the changes in the market's requirement. Our multiple years of experience in the industry has enabled us to register our global presence. Presently, our branch offices are in Bangalore, UK, Dubai, Canada, and the US. In the coming years, we envisage more expansion to emerge as a global IT Service Provider.

Job Description :

We are seeking a highly skilled and versatile Machine Learning Engineer (with GenAI expertise) who combines strong software engineering fundamentals with deep experience in machine learning and modern Generative AI systems. The ideal candidate will design, develop, and maintain scalable AI-powered applications using Python, with a strong emphasis on Object-Oriented Programming principles.

You will play a key role in building end-to-end AI systems, including LLM-powered applications, RetrievalAugmented Generation (RAG) pipelines, and agent-based workflows, alongside traditional ML models. This role demands strong analytical thinking, coding expertise, architectural design skills, and a deep understanding of the full ML and GenAI lifecyclefrom data processing and model development to deployment, monitoring, and optimization.

Qualifications :

- Bachelors or Masters degree in Computer Science, AI, ML, Data Science, or related field.

- 5years of experience in AI/ML engineering, with 23 years in a lead role.

- Strong expertise in Python, system design, and scalable AI/ML architecture.

- Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.

- Strong knowledge of NLP, Computer Vision, Generative AI, LLMs, and deep learning models.

- Experience with Docker, Kubernetes, MLOps, CI/CD, and cloud platforms like Amazon Web Services, Google Cloud Platform, or Microsoft Azure.

- Strong leadership, stakeholder management, and team mentoring skills.

Key Responsibilities :

1. Core ML & Engineering :

- Write clean, efficient, and well-documented Python code following OOP principles (encapsulation, inheritance, polymorphism, abstraction).

- Build and manage end-to-end ML pipelines : data ingestion, preprocessing, model training, evaluation, and deployment.

- Develop scalable ML systems using frameworks like PyTorch, TensorFlow, and Scikit-learn.

2. Generative AI (GenAI) & LLM Systems :

- Design and implement LLM-based applications (chatbots, copilots, automation tools).

- Build and optimize RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate).

- Develop agentic workflows using frameworks like LangChain, LlamaIndex, or similar.

- Implement prompt engineering, structured output generation, and tool/function calling.

- Fine-tune or optimize LLMs using techniques like LoRA, QLoRA, or instruction tuning.

- Work with open-source and proprietary LLMs (e.g., LLaMA, Mistral, GPT, Qwen).

3. Software Design & Architecture :

- Design modular, scalable, and maintainable ML and GenAI systems.

- Build APIs and microservices for model serving and GenAI applications.

- Contribute to architectural decisions for AI platforms and products.

4. Data Engineering for AI :

- Build data pipelines for feature engineering, transformation, and dataset versioning.

- Manage structured and unstructured data (documents, embeddings, logs).

5. MLOps & LLMOps :

- Implement CI/CD pipelines for ML and GenAI systems.

- Manage model and prompt versioning, experiment tracking, and reproducibility