AI Engineer - Product Integration

Job Description

You will be joining Momentum91 as an AI Engineer with a focus on researching, designing, and integrating AI-based solutions within digital products. Your primary responsibilities will include:- Researching and evaluating AI/ML technologies, frameworks, and APIs for various business use cases.- Designing and developing prototypes or POCs to validate AI-driven features and workflows.- Implementing and integrating AI models into production environments in collaboration with engineering teams.- Identifying opportunities for automation, prediction, recommendation, and personalization within existing modules.- Working with structured and unstructured data to train, fine-tune, and optimize models.- Collaborating with product managers, designers, and engineers to align AI initiatives with the overall product vision.- Staying updated with the latest trends in AI/ML, LLMs, and generative AI tools.- Evaluating and integrating third-party AI tools or APIs.- Defining metrics for evaluating model performance, user impact, and ROI of AI features.- Documenting AI system design, implementation approach, and model lifecycle management.As an AI Engineer at Momentum91, you should possess the following technical requirements:- Strong programming skills in Python and experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.- Understanding of modern NLP, computer vision, and recommendation system techniques.- Experience with integrating AI services via APIs or SDKs into full-stack applications.- Knowledge of cloud-based AI tools and services like AWS SageMaker, Azure AI, Google Vertex AI.- Familiarity with vector databases, embeddings, and retrieval-augmented generation methods.- Proficiency in working with REST APIs and microservice architectures.- Strong understanding of data preprocessing, feature engineering, and model deployment pipelines.- Experience with prompt engineering and fine-tuning large language models (LLMs) is a plus.- Understanding of MLOps concepts and version control for model lifecycle management.In terms of qualifications, you are required to have:- A Bachelors degree in Computer Science, Artificial Intelligence, or a related technical field.- 2 to 4 years of hands-on experience in building or integrating AI-based solutions into products.- Proven ability to translate product requirements into actionable AI implementation plans.- Experience in PropTech, CRM, or enterprise SaaS domains will be beneficial.- Excellent communication and collaboration skills to work effectively with multidisciplinary teams.- A Masters degree or certifications in AI/ML (AWS, Azure, or Google Cloud AI Engineer) would be an added advantage. You will be joining Momentum91 as an AI Engineer with a focus on researching, designing, and integrating AI-based solutions within digital products. Your primary responsibilities will include:- Researching and evaluating AI/ML technologies, frameworks, and APIs for various business use cases.- Designing and developing prototypes or POCs to validate AI-driven features and workflows.- Implementing and integrating AI models into production environments in collaboration with engineering teams.- Identifying opportunities for automation, prediction, recommendation, and personalization within existing modules.- Working with structured and unstructured data to train, fine-tune, and optimize models.- Collaborating with product managers, designers, and engineers to align AI initiatives with the overall product vision.- Staying updated with the latest trends in AI/ML, LLMs, and generative AI tools.- Evaluating and integrating third-party AI tools or APIs.- Defining metrics for evaluating model performance, user impact, and ROI of AI features.- Documenting AI system design, implementation approach, and model lifecycle management.As an AI Engineer at Momentum91, you should possess the following technical requirements:- Strong programming skills in Python and experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.- Understanding of modern NLP, computer vision, and recommendation system techniques.- Experience with integrating AI services via APIs or SDKs into full-stack applications.- Knowledge of cloud-based AI tools and services like AWS SageMaker, Azure AI, Google Vertex AI.- Familiarity with vector databases, embeddings, and retrieval-augmented generation methods.- Proficiency in working with REST APIs and microservice architectures.- Strong understanding of data preprocessing, feature engineering, and model deployment pipelines.- Experience with prompt engineering and fine-tuning large language models (LLMs) is a plus.- Understanding of MLOps concepts and version control for model lifecycle management.In terms of qualifications, you are required to have:- A Bachelors degree in Computer Science, Artificial Intelligence, or a related technical field.- 2 to 4 years of hands-on experience in building or integrating AI-base

Keyskills :
PythonNLPComputer VisionTensorFlowPyTorchScikitlearnREST APIsMicroservice ArchitecturesMLOps