
ai/ml
15 hours ago
Job Summary:
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 systems.
Key Responsibilities:
Design, build, and deploy scalable machine learning models and AI solutions.
Work with various teams to gather requirements, understand business challenges, and provide AI-driven insights.
Preprocess, clean, and analyze large datasets to create reliable models.
Develop and implement deep learning and NLP-based models for real-world applications.
Improve model performance and ensure efficient use in production environments.
Maintain, monitor, and enhance existing ML models.
Collaborate with data engineers to develop data pipelines and MLOps workflows.
Research and evaluate new AI/ML frameworks, tools, and techniques to improve solutions.
Document technical designs, workflows, and processes.
Required Skills & Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
4+ years of experience as an AI/ML Engineer or in a similar role.
Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Practical experience with ML algorithms (supervised, unsupervised, reinforcement learning, NLP, computer vision).
Experience with deep learning architectures (CNNs, RNNs, Transformers, LSTMs, GANs).
Proficiency in handling large datasets using SQL, Spark, or Hadoop.
Understanding of MLOps practices (Docker, Kubernetes, MLflow, Airflow, or Kubeflow).
Familiarity with cloud platforms (AWS, Azure, GCP) for ML/AI services.
Strong problem-solving and analytical thinking abilities.
Good communication and teamwork skills.
Preferred Qualifications (Good to Have):
Experience with LLMs (Large Language Models) and fine-tuning.
Knowledge of vector databases and AI search technologies.
Exposure to edge AI or embedded ML.
Experience in deploying ML models through REST APIs or microservices.
Published research papers or contributions to open-source ML projects.
Interested candidate, share your cv at
Contact us
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