4 Deep Learnin Jobs

We are seeking a highly skilled Senior AI/ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI/ML models, with a strong focus on NLP and Python . This role requires proficiency in frameworks like TensorFlow and PyTorch , and experience with cloud-based AI solutions to solve complex business problems. Roles & 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. Skills Required: Strong experience in machine learning, deep learning, NLP , and AI model development. Proficiency in Python, TensorFlow, PyTorch , and Scikit-learn . Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus. 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. Experience with AI-powered chatbots, OpenAI API integration , and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus. Hands-on experience in generative AI models is a plus. QUALIFICATION: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

We are seeking a highly skilled Senior AI/ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI/ML models, with a strong focus on NLP and Python . This role requires proficiency in frameworks like TensorFlow and PyTorch , and experience with cloud-based AI solutions to solve complex business problems. Roles & 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. Skills Required: Strong experience in machine learning, deep learning, NLP , and AI model development. Proficiency in Python, TensorFlow, PyTorch , and Scikit-learn . Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus. 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. Experience with AI-powered chatbots, OpenAI API integration , and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus. Hands-on experience in generative AI models is a plus. QUALIFICATION: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

We are seeking a highly skilled Senior AI/ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI/ML models, with a strong focus on NLP and Python . This role requires proficiency in frameworks like TensorFlow and PyTorch , and experience with cloud-based AI solutions to solve complex business problems. Roles & 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. Skills Required: Strong experience in machine learning, deep learning, NLP , and AI model development. Proficiency in Python, TensorFlow, PyTorch , and Scikit-learn . Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus. 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. Experience with AI-powered chatbots, OpenAI API integration , and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus. Hands-on experience in generative AI models is a plus. QUALIFICATION: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

We are seeking a highly skilled Senior AI/ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI/ML models, with a strong focus on NLP and Python . This role requires proficiency in frameworks like TensorFlow and PyTorch , and experience with cloud-based AI solutions to solve complex business problems. Roles & 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. Skills Required: Strong experience in machine learning, deep learning, NLP , and AI model development. Proficiency in Python, TensorFlow, PyTorch , and Scikit-learn . Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus. 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. Experience with AI-powered chatbots, OpenAI API integration , and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus. Hands-on experience in generative AI models is a plus. QUALIFICATION: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.