Interesting Job Opportunity: Funic Tech - AI/ML Engineer
Dev Information Technology · Pune · onsite · Posted 56d ago
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About this role
AI Model Design And Build
- Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures.
- Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
- Integrate structured and unstructured data from internal and external systems into centralized data platforms.
- Optimize data workflows and queries for performance, scalability, and cost-efficiency.
- Building Agentic Systems : Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools.
- LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA).
- Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs.
- Utilizing vector databases for efficient storage and retrieval of embeddings generated by LLMs. rafting effective prompts to elicit desired responses from LLMs.
- Connecting LLMs and generative models with other systems and APIs to create comprehensive solutions.
- Collaborate extensively with data scientists, and business during model development and deployment.
- Maintain updated documentation with details of all aspects of model development lifecycle.
- Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy and reliability.
- Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance.
- Orchestrate robust and error-free deployment of AI models into production environments, making them accessible to applications and users.
- Ensure that models are deployed securely in compliance with relevant regulations.
- Create and manage automated pipelines for AI/ workflows including training, testing and deployment.
- Accelerate the AI model lifecycle ensuring continuous availability of updated and optimized model algorithms, reducing manual errors.
- Implement CI/CD pipelines to automate the testing and deployment of new model versions, enabling updates reducing manual intervention.
- Set up monitoring systems to track key metrics such as prediction accuracy, response times, resource utilization, and error rates of deployed models.
- Identify and troubleshoot issues, ensuring the models continue to perform as expected.
- Manage the infrastructure required for training, testing, and running AI models in production, including provisioning hardware and software resources, leveraging cloud platforms and containerization technologies like Docker and Kubernetes.
- Implement version control for data and models, allowing for tracking changes, testing older versions, and ensuring reproducibility.
- Establish data governance practices and experiment tracking for auditing and compliance purposes.
- Collaborate extensively with data scientists, software engineers, and DevOps teams to ensure smooth integration AI models.
- Maintain updated documentation with details of all aspects of model deployment and lifecycle.
Sourced from foundit
Skills
DockerKubernetesRetrieval Augmented GenerationCI/CD PipelinesETL/ELT pipelinesPerformance Tuningfeature engineeringAi Algorithmsvector databasesllm fine-tuning
About Dev Information Technology
Dev Information Technology
IT Services & Consulting
759
employees
1997
29 years old
Ahmedabad, Gujarat
India
₹6.1L PA avg
Avg at Dev Information Technology
About
Dev Information Technology is a technology solution provider helping companies in their digital transformation from advisory to execution backed by expert applications and infrastructure management.
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IT Services & Consulting
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