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About the role
As an AI ML/Gen AI Engineer at our company, you will be responsible for utilizing your expertise in AI/ML and Generative AI technologies to contribute to cutting-edge projects. Your role will involve working with tools such as GitHub Copilot and Gemini, as well as developing AI/ML models and Generative AI agents/assistants like LLMs and LangChain. Additionally, you will be involved in cloud integration and utilizing Python/R workflows to enhance project efficiencies. Key Responsibilities: - Utilize AI/ML and Generative AI technologies like OpenAI, Claude, Gemini, LangChain, and Agents to develop innovative solutions - Implement approaches such as Prompt Engineering and fine-tuning to enhance the performance of AI models - Collaborate with cross-functional teams to integrate AI solutions into cloud-native engineering environments - Develop and optimize AI/ML models using Python, R, TensorFlow, PyTorch, Keras, Julia, and other ML libraries - Utilize big data technologies and programming languages like Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL for project development - Implement cloud-native engineering best practices using FaaS/PaaS/micro-services on Azure, AWS, and GCP platforms - Apply methodologies and tools like XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube to ensure project success Qualifications Required: - A bachelor's degree in computer science, software engineering, or a related field; an advanced degree (e.g., MS) is preferred - 5+ years of experience in AI/ML, with a focus on GenAI technologies in the last 2 years - Proficiency in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. - Experience with big data technologies, cloud-native engineering, and programming languages - Strong understanding of OOPs, data structures, algorithms, and coding best practices - Familiarity with methodologies such as XP, Lean, SAFe, DevSecOps, and tools like GitHub, SonarQube - Excellent interpersonal and organizational skills to handle complex projects and changing priorities effectively (Note: No additional details about the company were provided in the job description.) As an AI ML/Gen AI Engineer at our company, you will be responsible for utilizing your expertise in AI/ML and Generative AI technologies to contribute to cutting-edge projects. Your role will involve working with tools such as GitHub Copilot and Gemini, as well as developing AI/ML models and Generative AI agents/assistants like LLMs and LangChain. Additionally, you will be involved in cloud integration and utilizing Python/R workflows to enhance project efficiencies. Key Responsibilities: - Utilize AI/ML and Generative AI technologies like OpenAI, Claude, Gemini, LangChain, and Agents to develop innovative solutions - Implement approaches such as Prompt Engineering and fine-tuning to enhance the performance of AI models - Collaborate with cross-functional teams to integrate AI solutions into cloud-native engineering environments - Develop and optimize AI/ML models using Python, R, TensorFlow, PyTorch, Keras, Julia, and other ML libraries - Utilize big data technologies and programming languages like Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL for project development - Implement cloud-native engineering best practices using FaaS/PaaS/micro-services on Azure, AWS, and GCP platforms - Apply methodologies and tools like XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube to ensure project success Qualifications Required: - A bachelor's degree in computer science, software engineering, or a related field; an advanced degree (e.g., MS) is preferred - 5+ years of experience in AI/ML, with a focus on GenAI technologies in the last 2 years - Proficiency in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. - Experience with big data technologies, cloud-native engineering, and programming languages - Strong understanding of OOPs, data structures, algorithms, and coding best practices - Familiarity with methodologies such as XP, Lean, SAFe, DevSecOps, and tools like GitHub, SonarQube - Excellent interpersonal and organizational skills to handle complex projects and changing priorities effectively (Note: No additional details about the company were provided in the job description.)
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