<p><p><b>Job Summary :</b><br/><br/></p><p>We are looking for an AI/ML Engineer with 4 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions.
The right candidate will have a solid background in algorithms, data pipelines, and model optimization, along with practical experience in production-level ML Responsibilities :</b></p><p><br/></p>- Design, build, and deploy scalable machine learning models and AI solutions.<br/><br/></p><p>- Work with various teams to gather requirements, understand business challenges, and provide AI-driven insights.<br/><br/></p><p>- Preprocess, clean, and analyze large datasets to create reliable models.<br/><br/></p><p>- Develop and implement deep learning and NLP-based models for real-world applications.<br/><br/></p><p>- Improve model performance and ensure efficient use in production environments.<br/><br/></p><p>- Maintain, monitor, and enhance existing ML models.<br/><br/></p><p>- Collaborate with data engineers to develop data pipelines and MLOps workflows.<br/><br/></p><p>- Research and evaluate new AI/ML frameworks, tools, and techniques to improve solutions.<br/><br/></p><p>- Document technical designs, workflows, and Skills & Qualifications :</b></p><p><br/></p>- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.<br/><br/></p><p>- 4+ years of experience as an AI/ML Engineer or in a similar role.<br/><br/></p><p>- Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).<br/><br/></p><p>- Practical experience with ML algorithms (supervised, unsupervised, reinforcement learning, NLP, computer vision).<br/><br/></p><p>- Experience with deep learning architectures (CNNs, RNNs, Transformers, LSTMs, GANs).<br/><br/></p><p>- Proficiency in handling large datasets using SQL, Spark, or Hadoop.<br/><br/></p><p>- Understanding of MLOps practices (Docker, Kubernetes, MLflow, Airflow, or Kubeflow).<br/><br/></p><p>- Familiarity with cloud platforms (AWS, Azure, GCP) for ML/AI services.<br/><br/></p><p>- Strong problem-solving and analytical thinking abilities.<br/><br/></p><p>- Good communication and teamwork Qualifications (Good to Have) :</b></p><p><br/></p>- Experience with LLMs (Large Language Models) and fine-tuning.<br/><br/></p><p>- Knowledge of vector databases and AI search technologies.<br/><br/></p><p>- Exposure to edge AI or embedded ML.<br/><br/></p><p>- Experience in deploying ML models through REST APIs or microservices.<br/><br/></p><p>- Published research papers or contributions to open-source ML projects.</p><br/></p> (ref:hirist.tech)