Senior Data Scientist (GenAI / LLM Specialization)
Job 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
Full Stack Developer - Averlon
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Good negotiation and persuasion skills..
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Please note:
- This job is located in Mumbai, India. Candidate must be authorized to legally work in the
- Recruitment agencies: We do not accept unsolicited agency resumes. Please do not forward resumes to this email, our company website email, or any other company location. We are not responsible for any fees related to unsolicited resume
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Full Stack Developer - Averlon