AI/ML Engineer

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October 2

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Abstrabit Technologies

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Artificial Intelligence • B2B • Enterprise

Abstrabit Technologies is a leading AI solutions provider focused on unlocking the transformative power of artificial intelligence for businesses worldwide. With over 12 years of expertise and a portfolio involving prestigious clients like Microsoft, Walmart, and Novartis, Abstrabit specializes in customized AI consulting and solutions. Their service offerings include AI strategy and consulting, generative AI solutions, AI chatbot solutions, AI knowledge assistants, and workflow automation. Abstrabit prides itself on delivering top-notch, tailored AI strategies that propel business innovation and growth while ensuring data security and seamless integration with existing systems.

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Design, develop, train, and deploy machine learning models and AI solutions, including custom chatbots and knowledge-based systems. • Integrate state-of-the-art AI/ML models (NLP, Computer Vision, Generative AI, etc.) into client products and internal platforms. • Build, manage, and continuously improve knowledge bases that power intelligent applications. • Develop, fine-tune, and evaluate generative AI models and functionalities for various applications. • Contribute to the development of full-stack applications by implementing and embedding core AI/ML features. • Develop testing protocols, perform rigorous debugging, and ensure the performance, scalability, and reliability of AI/ML models and applications. • Stay current with the latest advancements in AI/ML research, tools, and techniques, evaluating their potential and applying them to solve business challenges. • Work closely with consultants, software developers, and clients to understand requirements, define solutions, and deliver impactful results. • Proven experience in building and deploying agentic AI systems (e.g., autonomous AI agents, multi-agent frameworks, workflow orchestration) using frameworks such as LangChain, LlamaIndex, n8n, Retell, Vapi, or Vector Databases, with a focus on real-world applications and problem-solving. • Hands-on experience in developing, fine-tuning, and deploying generative AI models (LLMs, diffusion models, transformers) using frameworks like Hugging Face, OpenAI APIs, Stable Diffusion, or similar, with demonstrable projects in text, image, or multimodal generation.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. • 0-3 years of professional hands-on experience in building and deploying AI/ML models and solutions. • Strong theoretical understanding and practical experience with core machine learning algorithms (supervised, unsupervised learning), deep learning concepts, and potentially NLP or computer vision. • Proficiency in Python is essential, along with strong experience using relevant data science and ML libraries (e.g., Pandas, NumPy, Scikit-learn). • Hands-on experience with major ML/DL frameworks such as TensorFlow, PyTorch, or Keras. • Excellent analytical and problem-solving skills with meticulous attention to detail. • Strong verbal and written communication skills, with the ability to explain complex concepts clearly.

🏖️ Benefits

• Flexible working arrangements • Professional development opportunities