Our Requirements

Your Day-to-Day Mission

- Architect, develop, and deploy AI/ML solutions across multiple business domains and enterprise applications.::

- Research, design, and implement advanced AI models in Deep Learning, NLP, and Computer Vision.:

- Build, optimize, and scale AI models for high performance, low latency, and real-time inference.:

- Develop and manage end-to-end ML pipelines, including data processing, model training, validation, deployment, and monitoring.:

- Integrate AI capabilities into scalable microservices, APIs, and cloud-based architectures.:

- Drive AI-powered automation systems and intelligent decision-making workflows.:

- Monitor model performance, explainability, and accuracy, and continuously improve production AI systems.:

- Collaborate with Data Engineering, Software Development, and DevOps teams for seamless AI integration.:

- Stay updated with emerging AI technologies, including LLMs, Transformers, Federated Learning, and Responsible AI practices.:

- Mentor junior AI engineers and contribute to AI research, innovation, and R&D; initiatives.:

Technical Skills & Competencies

- Strong programming expertise in Python with libraries such as NumPy, Pandas, and Scikit-learn.:

- Hands-on experience with Deep Learning frameworks, including TensorFlow, PyTorch, and JAX.:

- Solid understanding of NLP and LLM technologies, including Hugging Face Transformers, BERT, GPT models, RAG architectures, and LLM fine-tuning.:

- Experience in Computer Vision technologies such as OpenCV, YOLO, Faster R-CNN, and Vision Transformers (ViTs).:





- Knowledge of Data Engineering tools and distributed processing frameworks like Spark, Dask, Apache Kafka, and SQL/NoSQL databases.:

- Experience with Cloud Platforms and MLOps tools, including AWS, GCP, Azure, Docker, Kubernetes, and CI/CD pipelines.:

- Expertise in AI model optimization techniques such as quantization, pruning, and knowledge distillation.:

- Familiarity with Big Data and distributed AI frameworks like Ray, TensorRT, ONNX, and Dask.:

- Understanding of Responsible AI practices, including bias detection, model explainability, SHAP, and LIME.:

- Strong analytical, problem-solving, communication, and team collaboration skills.:

Bonus Expertise We d Love to See

- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.:

- 3 8 years of experience in AI/ML development, research, or enterprise AI solutions.:

- Experience working on real-time AI applications, Reinforcement Learning, or Edge AI systems.:

- Contributions to AI research, technical publications, patents, or open-source AI projects.:

- Experience integrating AI solutions with ERP, CRM, or enterprise platforms.:

- Familiarity with scalable AI architectures and production-grade AI deployments.:

- Knowledge of AI governance, compliance, and ethical AI implementation practices.:

- Strong interest in AI innovation, market research, and emerging technology trends.:

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML Lead (Gujarat)
🏢 CodeTrade.io
📍 Gujarat