Machine Learning Engineer Specialized in ML and Gen AI

Position: Machine Learning Engineer Specialized in ML and Gen AI

Location: Remote ( PST time zone)

Required Skillset: Experience: 5+ years

• Data Wrangling
• Prepare training/evaluation data
• Topic modeling, document clustering
• Text summarization
• Model fine-tuning/evaluation
• Natural Language Processing
• Supervised and Unsupervised Learning
• Deep Learning (CNNs, RNNs, Transformers)
• Time Series Forecasting
• Guardrails
• AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
• 3+ years cloud architecture and implementation
• 5+ years data, software, or ML engineering, with strong understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design)
• 3+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud (e.g., Amazon SageMaker or similar)
• 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript)
• Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
• Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
• Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions)
• Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Strands, Prompt Engineering)

Languages:

• Agentic AI framework preferably Strands
• LLM Distillation

AWS Services:

• SageMaker
• Bedrock
• Amazon Q
• Lambda
• S3
• Glue
• Step Functions
• Athena
• Batch
• EC2