Freelance Junior Python Developer Jobs in Seattle, WA

Job Summary:
Tata Consultancy Services is seeking a Gen AI Architect to lead innovative machine learning solutions. The role involves developing GenAI applications, educating teams on best practices, and driving the delivery of reliable solutions while championing teamwork and effective communication across various levels of management.
Responsibilities:
• Be an expert source on machine learning to drive delivery of new and innovative solutions.
• Propose creative solutions to approach business solutions with emerging technologies.
• Prototype new ways of applying technologies for solving business problems.
• Educate others so that they can demonstrate the innovative methods for achieving outcomes.
• Build and maintain machine learning principles, best practices, and code accelerators.
• Conduct external research and internal experimentation for machine learning techniques.
• Champion solution delivery behaviors and approaches from software engineers that accelerate delivery of reliable solutions and create a culture of teamwork.
• Analyze and communicate strategy, status, and product roadmaps to multiple audiences, including all levels of management.
• GenAI Application Development Expertise
• Programming Languages: Python
• Development Tools: LangChain, LlamaIndex, LangFlow, Langgraph, LangSmith, Flowise
• Techniques: RAG Techniques
• Databases: Vector Databases (Pinecone, Weaviate, Qdrant)
• Additional Technologies: Knowledge Graphs, FastAPI, Streamlit, Gradio
• Domain Model Fine-Tuning Capabilities
• Languages & Libraries: Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J)
• Tokenization & Frameworks: Tokenizers (SentencePiece, Hugging Face Tokenizers), Fine-tuning Frameworks (Hugging Face Transformers, PyTorch Lightning)
• Datasets: HuggingFace Datasets, TensorFlow Datasets
• LLMOps Proficiency
• Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions
• Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana
• Data Engineering for AI Applications
• Data Processing & Management: Python, Apache Spark, Apache Kafka, AWS S3, Azure Data Lake Storage (ADLS), Delta Lake
• Workflow Automation: Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great Expectations
• Data Catalogs: Amundsen, Collibra, Alation
• AI-Ready Cybersecurity Knowledge
• Threat Modeling & Security: AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security Tools
• Monitoring & Prevention: AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries
• GenAI Guardrails and Ethics
• Ethics & Fairness: AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics Libraries
• Privacy & Security: Privacy-Preserving Machine Learning Libraries, Robustness and Security Tools
• Transparency & Governance: Model Interpretability Libraries, AI Governance Frameworks and Tools
• Lead a team of junior developers
• Ability to translate requirements into understandable technical design.
• Task effort estimation and distribution among team members.
• Excellent communication skills, and stakeholder management.
• Ability to work with Cross functional teams and business users.
Qualifications:
Required:
• Be an expert source on machine learning to drive delivery of new and innovative solutions.
• Propose creative solutions to approach business solutions with emerging technologies.
• Prototype new ways of applying technologies for solving business problems.
• Educate others so that they can demonstrate the innovative methods for achieving outcomes.
• Build and maintain machine learning principles, best practices, and code accelerators.
• Conduct external research and internal experimentation for machine learning techniques.
• Champion solution delivery behaviors and approaches from software engineers that accelerate delivery of reliable solutions and create a culture of teamwork.
• Analyze and communicate strategy, status, and product roadmaps to multiple audiences, including all levels of management.
• GenAI Application Development Expertise
• Programming Languages: Python
• Development Tools: LangChain, LlamaIndex, LangFlow, Langgraph, LangSmith, Flowise
• Techniques: RAG Techniques
• Databases: Vector Databases (Pinecone, Weaviate, Qdrant)
• Additional Technologies: Knowledge Graphs, FastAPI, Streamlit, Gradio
• Domain Model Fine-Tuning Capabilities
• Languages & Libraries: Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J)
• Tokenization & Frameworks: Tokenizers (SentencePiece, Hugging Face Tokenizers), Fine-tuning Frameworks (Hugging Face Transformers, PyTorch Lightning)
• Datasets: HuggingFace Datasets, TensorFlow Datasets
• LLMOps Proficiency
• Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions
• Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana
• Data Engineering for AI Applications
• Data Processing & Management: Python, Apache Spark, Apache Kafka, AWS S3, Azure Data Lake Storage (ADLS), Delta Lake
• Workflow Automation: Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great Expectations
• Data Catalogs: Amundsen, Collibra, Alation
• AI-Ready Cybersecurity Knowledge
• Threat Modeling & Security: AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security Tools
• Monitoring & Prevention: AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries
• GenAI Guardrails and Ethics
• Ethics & Fairness: AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics Libraries
• Privacy & Security: Privacy-Preserving Machine Learning Libraries, Robustness and Security Tools
• Transparency & Governance: Model Interpretability Libraries, AI Governance Frameworks and Tools
• Bachelor’s degree in computer science, Data Science, or a related field; master’s degree preferred.
• 5+ years of professional and/or postgraduate academic research experience in software engineering.
• 4+ year of experience designing and developing machine learning solutions.
• 3+ years of experience with cloud native engineering, AWS, Azure, Google.
• Lead a team of junior developers
• Ability to translate requirements into understandable technical design.
• Task effort estimation and distribution among team members.
• Excellent communication skills, and stakeholder management.
• Ability to work with Cross functional teams and business users.
Preferred:
• Preferred experience in SAP / Salesforce or Oracle programs.
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.