AI/ML Engineer

As an AI/ML Engineer with 1-2 years of experience, your role will involve the following responsibilities: - Demonstrate strong proficiency in Python programming language. - Design and implement scalable, efficient, and maintainable code for machine learning applications. - Integrate machine learning models with APIs to facilitate seamless communication between different software components. - Develop and deploy machine learning models for real-world applications. - Conduct model training, optimization, and performance evaluation. - Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems. - Possess a deep understanding of large language models (LLMs) and their applications. - Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities. - Stay abreast of the latest advancements in large language models and contribute insights to the team. - Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage. - Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality. - Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information. - Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions. - Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation. - Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation. - Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). - Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras. - Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy. Additional Details: The company offers various perks and benefits such as Employees & Family Health Insurance, EPF & ESIC, free late-night meal facility, innumerable in-house & outdoor parties, various compensations & bonuses, no dress code, festival celebrations, and employees' birthday celebrations. As an AI/ML Engineer with 1-2 years of experience, your role will involve the following responsibilities: - Demonstrate strong proficiency in Python programming language. - Design and implement scalable, efficient, and maintainable code for machine learning applications. - Integrate machine learning models with APIs to facilitate seamless communication between different software components. - Develop and deploy machine learning models for real-world applications. - Conduct model training, optimization, and performance evaluation. - Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems. - Possess a deep understanding of large language models (LLMs) and their applications. - Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities. - Stay abreast of the latest advancements in large language models and contribute insights to the team. - Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage. - Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality. - Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information. - Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions. - Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation. - Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation. - Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). - Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras. - Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy. Additional Details: The company offers various perks and benefits such as Employees & Family Health Insurance, EPF & ESIC, free late-night meal facility, innumerable in-house & outdoor parties, various compensations & bonuses, no dress code, festival celebrations, and employees' birthday celebrations.