Thrillophilia - Senior ML & AI Engineer - Big Data/LLM (3-8 yrs)

Position Overview :

We are seeking an experienced Senior Machine Learning and Artificial Intelligence (ML/AI) Engineer to join our team and lead the development of 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 decision-making

Required 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, GitHub/GitLab

Preferred 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