C
AI/ML Engineer
C
- Posted 7 hours ago
- Over 50 applicants have applied
Job Description
Description
We are seeking an experienced AI/ML Engineer to join our dynamic team in India. The ideal candidate will have a strong background in developing and deploying machine learning models, as well as a passion for solving complex problems using AI technology.
Responsibilities
- Design and implement machine learning models and algorithms.
- Collaborate with cross-functional teams to understand business needs and deliver AI solutions.
- Analyze large datasets to extract meaningful insights and improve algorithms.
- Optimize existing models for performance and scalability.
- Stay updated with the latest advancements in AI/ML technologies and methodologies.
Skills and Qualifications
- 4-6 years of experience in AI/ML engineering or a related field.
- Strong proficiency in programming languages such as Python, Java, or R.
- Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
- Solid understanding of statistical analysis and data modeling techniques.
- Familiarity with data processing tools such as Pandas, NumPy, or Apache Spark.
- Knowledge of cloud platforms like AWS, GCP, or Azure for deploying ML models.
- Excellent problem-solving skills and ability to work in a team environment.
More Info
Key Skills
About Company
Skills:
Large Language Models (LLMs), Generative AI, Data augmentation methods, Python Programming Language, Data preprocessing techniques
Skills:
Python, production deployment and monitoring of AI ML solutions, multi-step agent workflows, prompt engineering, RAG architectures
Skills:
Machine Learning, Cloud Azure, Deep Learning, Tensorflow, Numpy, Pandas, Software Engineering, Pytorch, MLops, Keras, Python, Generative AI, scikit-learn, Data SQL
Skills:
Git, Pytorch, Tensorflow, Python, Docker, Machine Learning Algorithms, Opencv, Linux
Skills:
Python, Sql, Splunk, Tensorflow, Pandas, Pytorch, Spark, MLflow, Model versioning, Flink, Monitoring for data and model drift, Ciena Blue Planet UAA, Scikit-learn, LLM-based agents, Agentic AI, CI/CD for ML