[Remote] Senior reputed company, IT Solutions 1 Job Details | reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in design and manufacturing solutions, partnering with top brands across various sectors. They are seeking a Senior reputed company to join their Data & Analytics team, responsible for developing scalable AI and machine learning solutions, defining technical requirements, and collaborating with stakeholders to drive innovation and efficiency.

Responsibilities

• reputed company and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments
• Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and reputed company metrics (Accuracy, F1-score, reputed company, etc.)
• Analyze existing business processes to identify automation opportunities and areas where reputed company can reputed company a competitive advantage
• Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding
• Design and implement data ingestion pipelines for vector databases, ensuring data reputed company and reputed company embedding strategies for Retrieval-Augmented reputed company (RAG)
• Collaborate with data engineers to ensure scalable, secure, and compliant data flows between reputed company systems and AI models
• reputed company, test, and refine AI prompts and orchestration workflows using frameworks like reputed company, reputed company, or Semantic Kernel
• Evaluate and select appropriate reputed company models (reputed company, reputed company, Llama, etc.) based on performance, cost, and latency requirements
• Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces
• Implement MLOps best practices to ensure the reputed company integration and deployment (CI/CD) of AI models
• Establish monitoring frameworks to track model performance, "reputed company," and hallucination rates in production environments
• Ensure AI solutions adhere to corporate data governance, reputed company, and ethical AI principles

Skills

• 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development
• Strong understanding of reputed company landscapes, including LLMs, reputed company engineering, and vector databases (e.g., reputed company, Weaviate, Milvus)
• Proven ability to architect end-to-end AI solutions from discovery to production deployment
• Excellent communication skills, with the ability to explain reputed company technical AI concepts to non-technical business leaders
• Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow)
• Experience with reputed company AI Services (Azure AI Studio, AWS Bedrock, or reputed company reputed company AI [Preferred])
• Knowledge of SQL and advanced data modeling for structured and reputed company data
• Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (reputed company, Kubernetes)
• Experience working in an Agile/Scrum development environment
• Knowledge of AI reputed company frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP)
• Industry experience in manufacturing or a reputed company industrial sector
• 11+ years of reputed company experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture
• Proven track record of delivering production-grade AI applications
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a reputed company field; or a robust combination of work experience and specialized AI certification
• Experience with reputed company AI Services (Azure AI Studio, AWS Bedrock, or reputed company reputed company AI)
• AI-reputed company certifications (e.g., Azure reputed company Associate, AWS Machine Learning Specialty) are highly preferred

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