Senior Data Scientist (GenAI / LLM Specialization) at Phonologies (India) Private Limited · Pune · 4 - 7 years · ₹18L - ₹30L / yr · Profitable · Posted 3 Dec 2024
Senior Data Scientist (GenAI / LLM Specialization)
Python
Docker
KubernetesJob Description
Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.
Role & Responsibilities
- Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
- LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
- Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
- Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
- Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
- Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.
Preferred Candidate Profile
- Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
- Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
- Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
- AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
- Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
- MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
- Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
- Education: Degree in Computer Science, Data Engineering, or related field.
Perks and Benefits
- Competitive Compensation: INR 20L to 30L per year.
- Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.
Shubham Vishwakarma
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