Gen AI Architect

Must Have Technical/Functional Skills - 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.
Roles & Responsibilities - 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 - 2. 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 - 3. LLMOps Proficiency - Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions - Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana - 4. 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 - 5. 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 - 6. 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 - - Basic Qualifications - Bachelors degree in computer science, Data Science, or a related field; masters degree preferred. - 5+ years of professional and/or postgraduate academic research experience in software engineering. - Preferred experience in SAP / Salesforce or Oracle programs. - 4+ year of experience designing and developing machine learning solutions. - 3+ years of experience with cloud native engineering, AWS, Azure, Google. Generic Managerial Skills, If any - 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.
Base Salary Range : $160,000 to $200,000 Per Annum
TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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