AI / ML Engineer

Job Overview : We are seeking a talented and experienced AI / ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role focuses on the core ML lifecycle, from data handling and model development to deployment, optimization, and monitoring in production environments. The ideal candidate will be passionate about leveraging the latest advancements in AI, particularly in areas like Large Language Models (LLMs) and Natural Language Processing (NLP), to build intelligent systems that drive innovation and solve complex problems.Key Responsibilities :

Design, build, train, and fine-tune various machine learning models, with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP) models.

Collaborate with data scientists and engineers to acquire, preprocess, and manage data required for model training and evaluation.

Implement and utilize AI / ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face transformers).

Develop and implement APIs and integration points to make AI / ML models and services accessible to other engineering teams and systems.

Deploy, manage, and monitor models and AI services in production environments, ensuring performance, scalability, and reliability.

Utilize specialized AI development tools and frameworks such as LangChain, AutoGen, or other intelligent agent frameworks.

Implement MLOps practices for model versioning, continuous integration / continuous deployment (CI / CD), monitoring, and retraining.

Optimize models and inference pipelines for performance, efficiency, and cost-effectiveness.

Stay updated with the latest research, techniques, and tools in the AI / ML field and propose new approaches.

Collaborate effectively with product managers, data scientists, and other engineering teams (e.g., backend, frontend) to translate requirements into technical designs and integrate AI capabilities into products.

Required Skills and Experience :

4+ years of experience in a technical role with a strong focus on Machine Learning and AI development (ideally 2+ years dedicated AI / ML experience).

Proficiency in Python and standard ML / AI libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).

Solid understanding of core Machine Learning concepts, algorithms, model evaluation techniques, and deployment strategies.

Hands-on experience building, training, and deploying models, especially LLMs and NLP models.

Experience working with LLM APIs (e.g., OpenAI, Anthropic) and relevant libraries / frameworks (e.g., Hugging Face transformers, LangChain, AutoGen).

Familiarity with vector databases / stores (e.g., Pinecone, Weaviate, FAISS) and techniques like RAG (Retrieval Augmented Generation).

Experience with model deployment tools and MLOps practices.

Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.

Understanding of API design principles for serving machine learning models.

Strong problem-solving skills and ability to translate business problems into technical AI / ML solutions.

Excellent communication and collaboration skills.

Nice-to-Haves :

Experience with specific cloud ML services (e.g., AWS SageMaker, Google AI Platform / Vertex AI, Azure ML).

Knowledge of data engineering pipelines and ETL processes.

Experience with distributed training frameworks.

Contributions to open-source AI / ML projects.

Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or a related quantitative field.