33 Image Recognition Jobs - Page 2

Dear Candidate, We are hiring a Machine Learning Engineer to develop and deploy AI models for real-world applications. The role requires expertise in data science, model training, and cloud-based ML solutions. Key Responsibilities: Build and deploy ML models using TensorFlow, PyTorch, or Scikit-learn. Optimize models for performance and scalability. Develop data pipelines and feature engineering processes. Deploy ML solutions using AWS SageMaker, Azure ML, or Google Vertex AI. Collaborate with data scientists and software engineers to integrate AI into products. Required Skills & Qualifications: Machine Learning: TensorFlow, PyTorch, Scikit-learn Programming: Python, R Cloud ML: AWS SageMaker, Azure ML, Google Vertex AI Experience in NLP, Computer Vision, or Time Series Analysis is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLPText mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. ElasticsearchELK, SolrLucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDAtopic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLPText mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. ElasticsearchELK, SolrLucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDAtopic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

Responsibilities : - Develop a deep learning-based solution for complex computer vision problems with higher accuracy and performance. - Create tools and applications by writing clean, efficient code. - Identify, prioritize, and execute tasks based on requirements. - Implement hardware architecture-aware and computation-conscious solutions for embedded devices to maximize throughput. - Perform implementation, review, debugging, product delivery, and quick POC turnarounds. - Apply cutting-edge machine learning techniques for image classification, object detection, semantic segmentation, sequence modeling, etc., using frameworks such as OpenCV, PyTorch, and TensorFlow. - Collaborate with the team to brainstorm and create new products. - Mentor fresh joiners and foster team culture. Must-Have : - Educational Qualification : BE/BTech/MS/MTech in Computer Science, Applied Mathematics, Electronics/Electrical Engineering. - Solid programming experience in C or C++ with proven expertise as a Software Engineer. - Proficiency in algorithmic optimizations. - Extensive experience in software development and project management. - Strong analytical and problem-solving skills. - Adaptability to execute complex tasks under tight schedules and dynamic conditions. - Familiarity with various operating systems (Linux, Mac OS, Windows). - Ability to work independently and manage a team. - Excellent organizational and leadership skills. Nice-to-Have : - Working knowledge of deep learning frameworks such as TensorFlow or PyTorch. - Experience developing computer vision and/or machine learning algorithms for challenging image understanding problems. - Knowledge of Python programming. - Experience managing a team of 10 or more members. - Experience working in an Agile environment. - Proficiency in using automated testing frameworks.

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET and Azure and UI using ASP,NET or React Experience with Azure OpenAI Experience with LangChain and working with GPT models Strong understanding of LLMs