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AI/ML Architect
2 weeks ago
Position Overview
We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures.
This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions.
Skills:
Technical Expertise
Very good Skills in Python, Pandas, NumPy, SQL
Excellent understanding of Machine Learning algorithms and metrics.
Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools.
Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud.
Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, , Microsoft Autogen etc.
Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop).
Architecture Design
Expertise in creating AI/ML solution blueprints and technical diagrams.
Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines.
Excellent understanding in Gen AI frameworks and models.
Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2.
Prior experience in technical presales and building proposal
Domain Expertise
Preferred domain expertise in consumer/CPG/retail, supply chain
Soft Skills
Strong communication skills with the ability to present technical solutions to business leaders.
Proven ability to collaborate cross-functionally with technical and non-technical teams.
Problem-solving mindset with a focus on innovation and impact.
Role Description:
Solution Design & Architecture
Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors.
Develop comprehensive architecture diagrams and technology stacks tailored to business needs.
Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities.
Technical Implementation & Agentic Workflows
Design and implement agentic workflows using LLMs to automate decision-making and complex processes.
Build modular, scalable solutions that integrate with existing enterprise systems and tools.
Ensure solutions are aligned with MLOps practices for robust deployment and monitoring.
Prototyping & POCs
Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions.
Test and refine LLM-driven workflows and agent-based models to meet business objectives.
Presales
Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need
Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal