<p><p><b>Job Description : Engineer :</b></p><p><br/><b>Position Overview :</b></p><br/></p><p>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.<br/><br/></p><p>You will be responsible for building scalable AI solutions and integrating them into various applications, with a focus on generative AI techniques.<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>- Design, develop, and deploy machine learning models for a wide range of applications, including classification, regression, clustering, and time series forecasting systems.<br/><br/></p><p>- Skilled at researching and implementing solutions to address data analytics challenges, leveraging statistics, machine learning, and time series modelling.<br/><br/></p><p>- 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.<br/><br/></p><p>- 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.<br/><br/></p><p>- Utilize pre-trained models (e.g., GPT, Llama etc) and fine-tune them for specific applications, such as question answering, summarization, and text generation.<br/><br/></p><p>- Develop and maintain pipelines for automated model training, validation, and deployment.<br/><br/></p><p>- Work with cross-functional teams to integrate AI/ML models into production systems, whether on-premises or cloud-based, ensuring seamless operation and scalability.<br/><br/></p><p>- Document model development processes and create clear, concise reports for stakeholders<br/><br/><b>Required Skills :</b><br/><br/></p><p>- Strong programming skills in Python, with experience in libraries such as Scikit-learn, Pandas, TensorFlow and PyTorch.<br/><br/></p><p>- Expertise in machine learning algorithms and statistics.<br/><br/></p><p>- 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.<br/><br/></p><p>- Familiarity with on-premises and cloud platforms for deploying and scaling machine learning models.<br/><br/></p><p>- Knowledge of MLOps practices, including CI/CD pipelines and containerization.<br/><br/></p><p>- Proficiency in SQL for data querying, manipulation, and analysis.<br/><br/></p><p>- Familiarity with version control systems (e.g., Git) and collaborative development workflows.</p><br/></p> (ref:hirist.tech)