Senior Ai/ml Engineer- Nlp/python
- Leading Client
- 5 - 8 years
- Surat
- 20 days ago
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Job Description
About the job :
Key Responsibilities :
- Design, develop, and deploy AI/ML models for real-world applications.
- Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems.- Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.- Optimize model performance using hyperparameter tuning and model evaluation techniques.- Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks.- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.- Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML.- Collaborate with cross-functional teams to integrate AI models into production systems.- Ensure scalability, performance, and efficiency of AI/ML solutions.- Stay updated with emerging AI trends and technologies to drive innovation.
Required Skills :- Strong experience in machine learning, deep learning, NLP, and AI model development.- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models.- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models).- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.- Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.- Familiarity with API development using Django, Flask, or FastAPI for AI solutions.- Strong problem-solving, analytical, and communication skills.
Preferred Skills :
- Experience with AI-powered chatbots and OpenAI API integration.
- Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications.- Hands-on experience in generative AI models.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Leading ClientLocation(s): Surat
Keyskills: Python AI/ML NLP NoSQL LLaMA Hadoop Kafka GPT Databricks Falcon SQL
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