Data Scientist/ML Engineer

Hello, We have 3 urgent openings for a “Data Scientist/ML Engineer". These are remote roles. Only looking for candidates who can work on W2 Strictly no C2C or third-party vendors Responsibilities- • Design and develop machine learning algorithms and deep learning applications for recommendation models. • Fine-tuning open-source models and deploying them for real-world applications. • Experience with OpenAI models (e.g., GPT-4), creating custom AI solutions to answer queries, assist sales teams, and provide recommendations. • Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks. • Ensure ML algorithms generate accurate user recommendations. • Expertise in implementing hybrid search and retrieval-augmented generation (RAG) techniques. • Familiarity with Matrix factorization, collaborative filtering and ranking. • Train, retrain and monitor machine learning systems and models as needed. • Development of high-performance search applications, including product search and keyword-based search using tools like ElasticSearch and OpenSearch. • Advanced testing and evaluation of different chunking strategies for optimized performance. • Hands-on experience with building and managing large-scale machine learning systems. • Deep knowledge of infrastructure-side challenges, such as scaling models, load testing, and ensuring high availability. • Proficient in AWS services, including Bedrock, Redshift, Airflow, and Databricks for data and model pipelines. • Strong focus on performance optimization, continuous integration, and improving ML systems for deployment at scale. • Extensive experience leading machine learning projects end-to-end, from design and development to deployment and monitoring. • Collaborates closely with stakeholders, ML engineers, data scientists, and DevOps teams to ensure successful project delivery. • Builds out evaluation frameworks that incorporate user feedback from logging and fine-tuning model performance accordingly. • Building robust data pipelines for machine learning models, ensuring that data is clean, properly preprocessed, and available for model training and deployment. • Expertise in automating ML pipelines using Airflow and optimizing workflows in distributed environments. • Experience in integrating and managing large datasets for training complex models, including deep learning frameworks. Technologies and Tools: • AI/ML Frameworks: Personalization & Search Systems • Search Technologies: ElasticSearch, OpenSearch, Hybrid Search, Keyword Search • Cloud Platforms: AWS (Bedrock, Redshift, S3, EC2, etc.) • Data and Workflow Tools: Databricks, Apache Airflow • Programming Languages: Python & Java (With libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face, etc) • Other Tools: Model performance evaluation frameworks, logging and monitoring tools ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to adam.h AT anaghtech.com. Thank you for your time.