Machine Learning Engineer

Job Title: ML EngineerLocation: Ahmedabad (On-site)Employment Type: Full-time Company DescriptionHolboxAI is at the forefront of innovation in Generative AI and Machine Learning, empowering businesses globally with state-of-the-art solutions. Our team of AI specialists and data scientists pushes the boundaries of what's possible, delivering practical AI-driven solutions for real-world challenges. From revolutionizing data processing to pioneering problem-solving, we reshape industries with deep technical prowess and a visionary approach to artificial intelligence. Who you are:Design, develop, and implement Machine Learning models, including Deep Learning and Natural Language Processing, using various algorithms and techniques.Work with large datasets to perform data cleaning, preprocessing, feature engineering, and analysis.Develop and deploy AI/ML models on Cloud platforms.Experiment with and implement Generative AI models and techniques for various applications.Contribute to the development of Agentic AI systems and workflows.Evaluate the performance of AI/ML models and identify areas for improvement.Collaborate with Data Engineers to build and maintain data pipelines for AI/ML applications.Stay up-to-date with the latest advancements in AI and related technologies.Document code, models, and processes clearly and effectively.Work closely with product managers and other stakeholders to understand requirements and deliver impactful solutions.Participate in code reviews and contribute to maintaining high code quality. Required Skills & Experience:Minimum of 2-6 years of hands-on experience in developing and deploying AI/ML solutions.Must have strong hands-on experience with Cloud platforms (e.g., AWS, Azure, GCP) for AI/ML workloads.Must have deep hands-on experience in Data Science methodologies and techniques.Must have extensive hands-on experience in developing and deploying Machine Learning models using various frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Must have proven hands-on experience with Generative AI models and techniques (e.g., Large Language Models, Diffusion Models).Must have practical hands-on experience in building and deploying Agentic AI systems.Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).Solid understanding of statistical modeling and machine learning algorithms.Experience with AI tools and techniques.Excellent problem-solving and analytical skills.Good communication and collaboration skills.Good to have a AWS hands-on work experience.