
About the Role
We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.
Responsibilities
• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.
• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.
• Fine-tune pre-trained models and develop custom models based on specific business needs.
• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.
• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.
• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.
• Ensure scalability and performance of deployed AI solutions within the full application stack.
• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.
• Design and implement APIs or services that expose machine learning models to frontend or other systems
• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.
• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.
• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.
• Document processes, methodologies, and results for future reference and reproducibility.
Required Skills & Qualifications
• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.
• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.
• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.
• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.
• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.
• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.
• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.
• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.
• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.
• Understanding of system design and software architecture for integrating AI into production environments.
• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).
• Demonstrated projects where AI models were part of deployed user-facing applications.
• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.
• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.
Nice to Have
• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.
• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.
• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).
• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.
• Solid understanding of statistics and probability.
• Experience working in Agile development environments.
What You'll Gain
• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.
• Collaborate with a diverse, highly skilled team in a fast-paced environment.
• Opportunity to work on impactful projects with real-world applications.
• Competitive salary and career growth opportunities

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Experience : 3+ Years
Summary :
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At Palcode.ai, We're on a mission to fix the massive inefficiencies in pre-construction. Think about it - in a $10 trillion industry, estimators still spend weeks analyzing bids, project managers struggle with scattered data, and costly mistakes slip through complex contracts. We're fixing this with purpose-built AI agents that work. Our platform can do “magic” to Preconstruction workflows from Weeks to Hours. It's not just about AI – it's about bringing real, measurable impact to an industry ready for change. We are backed by names like AWS for Startups, Upekkha Accelerator, and Microsoft for Startups.
Why Palcode.ai
Tackle Complex Problems: Build AI that reads between the lines of construction bids, spots hidden risks in contracts, and makes sense of fragmented project data
High-Impact Code: Your code won't sit in a backlog – it goes straight to estimators and project managers who need it yesterday
Tech Challenges That Matter: Design systems that process thousands of construction documents, handle real-time pricing data, and make intelligent decisions
Build & Own: Shape our entire tech stack, from data processing pipelines to AI model deployment
Quick Impact: Small team, huge responsibility. Your solutions directly impact project decisions worth millions
Learn & Grow: Master the intersection of AI, cloud architecture, and construction tech while working with founders who've built and scaled construction software
Your Role:
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Job description:
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Greeting from Cadeploy!!!
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BR,
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https://info408986.typeform.com/to/loipC9Gk
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