Our Requirements

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.:

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.:
Strong 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.:

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.:

Experience : 2 to 4 Years Open Position : 10

Ahmedabad, Jaipur

Full-time

Building Next-Gen Solutions for