Machine Learning Engineer

• Job Title: ML Engineer
• Location: Ahmedabad (On-site)
• Employment Type: Full-time
• Company Description

HolboxAI 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 whats 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.