Senior Machine Learning
1 week ago
Position Overview :
We are seeking an experienced Senior Machine Learning and Artificial Intelligence (ML/AI) Engineer to join our team and lead the development cutting-edge AI solutions, including large language models, generative AI, chatbots, and intelligent recommendation systems.
Key Responsibilities :
- Design, develop, and deploy scalable ML/AI solutions with a focus on generative AI, LLMs, chatbots, and recommendation engines.
- Lead the implementation of state-of-the-art AI models and persona-based solutions.
- Architect and maintain cloud-based ML/AI infrastructure on Google Cloud Platform (GCP).
- Optimize AI/ML models for production environments and ensure high performance at scale.
- Collaborate with cross-functional teams to understand requirements and deliver solutions.
- Mentor junior team members and contribute to technical Qualifications :
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- Minimum 4 years of professional experience in ML/AI Engineering.
- Proven experience building and deploying production-grade AI systems including LLMs, chatbots, and recommendation systems.
- Strong expertise in GCP services, particularly AI/ML services and scalable infrastructure.
- Deep understanding of modern AI/ML frameworks (TensorFlow, PyTorch and MLOps practices
- Extensive experience with large language models, transformer architectures, and generative AI technologies.
- Proven track record of building AI solutions that scale to millions of users
Technical Skills :
- Programming Languages : Python, Pyspark.
- AI/ML Frameworks : TensorFlow, PyTorch, Scikit-learn, Hugging Face.
- Cloud Technologies : Preferred GCP (Vertex AI, AI Platform, BigQuery Kubernetes).
- MLOps Tools : Kubeflow, TFX, ML metadata tracking.
- Big Data : Spark, Hadoop ecosystem.
- Version Control : Git, Qualifications :
- Advanced experience with transformer architectures and foundation models.
- Expertise in AI model deployment, fine-tuning, and A/B testing.
- Strong knowledge of AI/ML monitoring and observability tools.
- Experience with distributed computing and parallel processing for AI workloads.
- Contributions to open-source AI/ML projects.
Soft Skills :
- Strong problem-solving and analytical thinking abilities.
- Excellent communication and documentation skills.
- Ability to work independently and lead technical initiatives.
- Experience mentoring junior engineers.
- Strong project management and prioritization skills
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