
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.

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1. Hands on experience in PHP frameworks Laravel
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3. In-depth understanding of front-end technologies, such as HTML5, CSS3 and JavaScript.
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5. Zeal to take up challenges provides innovative solutions, think out of the box and open to learning.
6. Able to handle multiple projects simultaneously.
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1. Minimum 2 years of experience in PHP Laravel Framework
2. Experience with MySQL and REST API.
3. Proficient knowledge in Javascript, JQuery, Angular 2.0
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UG :Any Graduate in Any Specialization



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Excellent communication skills
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Should they be expected to lead?
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Who will they report to?
- - They will report to Product OwnerRob and Product ManagerJulietta daily for standups and well as pushing tasks through the appropriate structure of review, QA, and production.
- They will also report and check in with Client SuccessCourtney as we look to make the app have a seamless customer experience and customer value. The goal of Attribute should be to try and give as much value as quickly and easily as possible.
Will they work alone or in a team?
- In some spots they might be expected to work alone and on a separate sprint from others, however, everything needs to tie in and work together, because of that the developer must be team oriented in both development and problem solving.
- Additionally, there will be times that they should expect to work with people who are not particularly tech savvy ( ie. sales, marketing, customer success etc.) to collaborate on a specific feature to produce the best thing for the product.
Accountability
- The developer is both accountable for their code and the code of the team. They should take care and responsibility in the work that is done and if there are problems with the code in QA or production work as diligently as possible to fix that problem ( whether it is their code directly or not).
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Regular working days - Sunday to Thursday
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Good to have
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Disclaimer
To drive our employees' personal growth and business impact, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. https://www.mongodb.com/blog/channel/culture">Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.
*MongoDB is an equal opportunity employer*



- Strong in problem solving, algorithms and data structures
- Proficient in Python
- Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI
- Experience with knowledge Graph or any graph based system is plus
- Able to train and deploy models
- Broad knowledge of machine learning algorithms and principles
- Performance profiling and Tuning
- Communicate and propose solutions to business challenges
- Familiarity with at least one of the cloud computing infrastructure - GCP/AWS
- Keep abreast with the latest technological advances
- Team mentoring and leadership skills.

