Artificial Intelligence/Machine Learning Engineer

7 days ago

Hyderabad, India ACE Full time

Job Description : Engineer :Position Overview :We are looking for a skilled and innovative AI/ML Engineer to join our team. The ideal candidate will have experience in designing, developing, and deploying models, as well as a strong background in AI/ML and software engineering.You will be responsible for building scalable AI solutions and integrating them into various applications, with a focus on generative AI techniques.Key Responsibilities :- Design, develop, and deploy machine learning models for a wide range of applications, including classification, regression, clustering, and time series forecasting systems.- Skilled at researching and implementing solutions to address data analytics challenges, leveraging statistics, machine learning, and time series modelling.- Demonstrates a strong understanding of generative AI concepts, coupled with hands-on experience in building robust workflows around Large Language Models (LLMs) using frameworks such as LangChain, LlamaIndex, and similar tools.- Familiarity in designing and implementing Agentic AI workflows, enabling LLMs to autonomously plan, execute, and adapt multi-step tasks by leveraging external tools and systems.- Utilize pre-trained models (e.g., GPT, Llama etc) and fine-tune them for specific applications, such as question answering, summarization, and text generation.- Develop and maintain pipelines for automated model training, validation, and deployment.- Work with cross-functional teams to integrate AI/ML models into production systems, whether on-premises or cloud-based, ensuring seamless operation and scalability.- Document model development processes and create clear, concise reports for stakeholdersRequired Skills :- Strong programming skills in Python, with experience in libraries such as Scikit-learn, Pandas, TensorFlow and PyTorch.- Expertise in machine learning algorithms and statistics.- Extensive experience with generative AI models and frameworks, including working with large pre-trained language models like LLama , mixtral, claude,etc and deploying custom LLMs for specific tasks.- Familiarity with on-premises and cloud platforms for deploying and scaling machine learning models.- Knowledge of MLOps practices, including CI/CD pipelines and containerization.- Proficiency in SQL for data querying, manipulation, and analysis.- Familiarity with version control systems (e.g., Git) and collaborative development workflows. (ref:hirist.tech)

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