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AI / ML Engineer (Applied AI & Automations)
Build and deploy production-grade AI systems, including NLP, LLM features, and automations, to power workflows for restoration-industry SaaS customers.
AI ML Engineer
Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
AI Deep Learning
Develop and deploy deep learning models using TensorFlow/PyTorch, collaborating with data scientists to integrate AI solutions into production.
AI Deep Learning
Develops and optimizes deep learning models using TensorFlow/PyTorch, integrating them into AI applications while researching new algorithms.
Deep Learning Engineer: AI Models, Vision & NLP
Develop and deploy deep learning models for AI solutions, focusing on computer vision and NLP, while collaborating with data scientists and engineers.
AI Deep Learning
Develop and implement deep learning algorithms for AI projects using Python, TensorFlow, and Keras, with a focus on computer vision and NLP.
AI/ML Engineer (Generative AI, ML, Data Analytics)
Build and deploy generative AI chatbots, predictive models, and analytics dashboards using Python, LLMs, and tools like Streamlit and Power BI.
Machine Learning Engineer
Designs and builds ML models to extract insights from financial data and support business decisions using Python, TensorFlow/PyTorch, and cloud platforms.
Machine Learning Engineer
Build and deploy ML models to optimize SafeHarbor Logistics’ products and services, collaborating with data scientists and engineers in Faisalabad.
Senior AI ML Engineer
Build and deploy AI systems including LLMs, computer vision, and autonomous agents using Python, PyTorch, and LangChain, then productionize them with MLOps on cloud platforms.
Machine Learning Engineer (NLP)
Build and improve NLP models for text-based tasks like classification and sentiment analysis using Python and libraries such as NLTK, SpaCy, and Transformers.
Senior Software Engineer (AI/ML)
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
AI/ML Developer (LLMs, NLP, and AI Applications)
Build and deploy LLM/NLP models using Hugging Face, LangChain, and cloud AI services; implement RAG pipelines and vector search for AI-driven chatbots and Q&A systems.
AI/ML Lead
Lead a team to build and deploy AI/ML systems (NLP, computer vision, generative AI) and set technical standards for scalable, secure production AI solutions.
AI Deep Learning
Design and implement deep learning models using frameworks like TensorFlow or PyTorch to solve complex AI problems in a collaborative startup environment.
AI Architect – GenAI & ML
Design and deploy production-grade GenAI and ML solutions using Azure OpenAI, RAG pipelines, and agentic frameworks while ensuring scalability, security, and responsible AI practices.
AI Engineer
Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.
Senior AI Engineer
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
AI Architect
Design and deploy enterprise-grade AI systems using LLMs, RAG, and Azure AI services, leading GenAI initiatives from concept to production.
Principal/Staff Machine Learning Engineer (Generative AI + LLM)
Lead the design and deployment of generative AI models and LLMs, optimizing performance and scaling solutions on cloud platforms while mentoring ML teams.