Artificial intelligence engineer
2 weeks ago
Job Location: Mumbai
Company: Agam Capital
Role Overview
We are seeking a talented AI Engineer to join our dynamic team. In this role, you will deploy AI models and algorithms to enhance our products and services. If you are a problem solver with a passion for artificial intelligence and machine learning, you will play a pivotal role in advancing our technical capabilities and driving impact for our clients.
Key Responsibilities
· Design, Develop, and implement machine learning and deep learning models.
· Collaborate with cross-functional teams to integrate AI models into existing systems and workflows.
· Optimize AI models for performance, scalability, and reliability.
· Stay abreast of the latest trends and advancements in AI and apply them to projects.
· Prepare large datasets for model training.
· Deploy, monitor, and refine AI solutions in production to ensure continuous improvement and reliability.
Basic Qualifications
Bachelor’s or master’s degree in computer science, data science, or a related field.
Strong programming proficiency in Python.
Knowledge of cloud-based AI services such as AWS Bedrock and Azure Open AI.
Expertise in AI frameworks such as Tensor Flow and Py Torch.
Familiarity with:
Large Language Models (LLMs): GPT, Claude, Llama.
Chatbot UIs: Streamlit, Gradio, Flask, Django.
Fine-tuning and RAG: Lang Chain, Haystack, PEFT, Faiss.
Distributed Training: Py Torch Lightning, Deep Speed, Horovod.
Natural Language Processing (NLP): NLTK, spa Cy
Preferred Qualifications
3+ years of experience in AI/ML engineering roles.
Experience in deploying and managing MLOps pipelines for large-scale AI systems.
Familiarity with deep reinforcement learning packages such as Gymnasium and Stable-Baselines3
Experience in containerization and orchestration technologies such as Docker and Kubernetes.
Hands-on experience with data preprocessing, feature engineering, and model evaluation.
About Us
Agam was founded in 2016 with the vision to create a cutting edge differentiated analytical platform. The execution towards this vision continued with the development of p ALM, Agam’s proprietary asset and liability management (ALM) system. Offering the only end-to-end enterprise-wide risk and capital analytic solution, Agam empowers strategic decision makers towards their capital optimization goals. With a fully embedded dynamic strategic asset allocation (SAA) and enterprise risk management (ERM) infrastructure, p ALM supports Agam’s ability to offer one stop, turnkey insurance solutions.
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