AI / ML Engineer
Open Systems Technologies
A financial firm is looking for an AI / ML Engineer to join their team in Tampa, FL.
Compensation: $115-160k
Must be a US Citizen or GC Holder - No visa sponsorship
Must be local - no relocation
Responsibilities: Design and build high-quality, highly reliable software Partner closely with other development teams, quants and subject-matter experts in firm businesses Ensure software platforms are compliant with client's security and SDLC (Software Development Life Cycle) processes Run the platform at scale while continuing to innovate and evolve
Qualifications: 10 years of relevant experience Strong knowledge and deep experience of Python and toolchains, Java, SQL, JavaScript (D3.js), Bash Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Machine Learning: Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods Strong knowledge with RAG (Retrieval-Augmented Generation), prompt engineering Knowledge of advanced statistical/machine learning techniques, algorithms, concepts and experience in the application Data Processing: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B) Experienced in building and running a large platform at scale Strong distributed systems skills and knowledge Strong system architecture skills Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir Solid understanding of REST-ful design Experience with Kubernetes Development experience of at least one public cloud provider Experience in implementing projects Experience in systems analysis and programming of software applications Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development Demonstrated knowledge of client core business functions Demonstrated leadership, project management, and development skills Relationship and consensus building skillsEducation: Bachelor's degree/University degree or equivalent experience Master's degree preferred
Compensation: $115-160k
Must be a US Citizen or GC Holder - No visa sponsorship
Must be local - no relocation
Responsibilities: Design and build high-quality, highly reliable software Partner closely with other development teams, quants and subject-matter experts in firm businesses Ensure software platforms are compliant with client's security and SDLC (Software Development Life Cycle) processes Run the platform at scale while continuing to innovate and evolve
Qualifications: 10 years of relevant experience Strong knowledge and deep experience of Python and toolchains, Java, SQL, JavaScript (D3.js), Bash Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Machine Learning: Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods Strong knowledge with RAG (Retrieval-Augmented Generation), prompt engineering Knowledge of advanced statistical/machine learning techniques, algorithms, concepts and experience in the application Data Processing: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B) Experienced in building and running a large platform at scale Strong distributed systems skills and knowledge Strong system architecture skills Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir Solid understanding of REST-ful design Experience with Kubernetes Development experience of at least one public cloud provider Experience in implementing projects Experience in systems analysis and programming of software applications Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development Demonstrated knowledge of client core business functions Demonstrated leadership, project management, and development skills Relationship and consensus building skillsEducation: Bachelor's degree/University degree or equivalent experience Master's degree preferred
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