AI / Machine Learning Engineer

BMR Infotek

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, develop, and deploy Machine Learning and AI models for production environments
Build predictive models, recommendation systems, classification, regression, clustering, and NLP solutions
Analyze structured and unstructured data to generate actionable business insights
Develop scalable data pipelines and feature engineering workflows
Work with large datasets using SQL, Python, and distributed computing frameworks
Train, evaluate, fine-tune, and optimize ML models for performance and scalability
Collaborate with Data Engineers, Software Engineers, Product Managers, and stakeholders
Implement MLOps best practices for model deployment, monitoring, and version control
Stay current with advancements in AI, Generative AI, LLMs, and machine learning technologies

5–7 years of experience in AI, Machine Learning, and Data Science
Strong programming skills in Python
Experience with TensorFlow, PyTorch, Scikit-learn, Keras, or XGBoost
Strong understanding of supervised and unsupervised learning algorithms
Experience with feature engineering, model evaluation, and hyperparameter tuning
Strong knowledge of statistics, probability, and predictive analytics
Experience with SQL and relational databases
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
Experience with Docker, Kubernetes, Git, and CI/CD pipelines
Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, or Mathematics

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI agents
Experience with NLP, Computer Vision, or Deep Learning projects
Familiarity with Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
Exposure to Spark, Hadoop, or Databricks
Knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker

Skills