
Leading AI/ML Innovator for Complex Problem-Solving
3 days ago
We are seeking an experienced AI/ML Engineer or Data Scientist to join our team at gravity9. As a key member of our multi-disciplinary team, you will be responsible for developing and deploying innovative AI/ML solutions that drive business success.
Your primary focus will be on conceptualizing, designing, and implementing scalable end-to-end ML/AI systems that meet the unique needs of our clients. You will work closely with clients to understand their challenges and deliver tailored solutions that exceed their expectations.
As an integral part of our team, you will contribute to shaping our company's AI strategic direction, collaborating with our AI Practice Lead to inform and drive innovation. Your technical expertise will play a crucial role in promoting best practices in ML engineering and supporting your colleagues in delivering high-quality projects.
We are looking for a skilled developer with a strong interest in state-of-the-art AI and Machine Learning technologies, particularly in NLP, especially LLMs and RAGs, Computer Vision, and Machine Learning. If you have a passion for leveraging artificial intelligence and machine learning to solve complex problems, we encourage you to apply.
Key Responsibilities:- Design and implement efficient, robust, and scalable end-to-end ML/AI systems
- Manage the entire ML/AI development lifecycle, including planning, pipeline management, and deployment
- Provide technical support to engineering team members, promoting best practices in ML engineering
- Collaborate with clients to understand their unique challenges and deliver tailored AI/ML solutions
- Advanced knowledge of Python specifically for machine learning and data science
- Experience with ML/DL frameworks like TensorFlow, Keras, PyTorch, and scikit-learn
- Familiarity with LLM frameworks such as LangChain, LlamaIndex, or Haystack
- Proficiency in cloud services related to ML/AI (e.g., Azure, OpenAI, Hugging Face, AWS, GCP)
- MLOps experience encompassing the ML applications development lifecycle and toolsets
- Certification as an Azure AI Engineer Associate or equivalent credentials
- Experience developing Agentic AI solutions
- Experience with C# or Java, node.js
- A dynamic and collaborative work environment
- Opportunities for professional growth and development
- A competitive compensation package
- Benefits including private healthcare, sport subscription, free coffee, bike parking, playroom, shower, free beverages, in-house trainings, modern office, startup atmosphere, no dress code
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