Dell Senior Advisor Machine Learning India, Karnataka 360617900
Senior Advisor, Machine Learning
As a Machine Learning Engineer with a strong foundation in Data Science, MLOps, and Generative AI, you’ll play a pivotal role in designing, developing, and deploying intelligent, scalable applications. You’ll work across the stack—from front-end interfaces to back-end services and ML pipelines—bringing innovative, AI-driven solutions to life. You’ll also contribute to the fine-tuning and operationalization of Large Language Models (LLMs) and other GenAI technologies to solve real-world business problems.
You will:
Build andmaintainfull-stack applicationsthat integrate advanced ML models and real-time data pipelines.
fine-tune and productionize LLMsand otherGenAImodels usingMLOpsbest practices.
Design and implementscalable APIs and microservicesto support AI/ML workloads.
Develop intuitivefront-end interfacesfor data-driven applications using modern frameworks.
Automate thedeployment, monitoring, and performance tuningof ML models in production environments and Ensure robustCI/CD pipelinesand containerized deployments using Docker and Kubernetes.
Essential Requirements
- 8+ years of experience in full-stack development with hands-on experience in MLOps tools like MLflow, Kubeflow, or SageMaker.
- Solid understanding of machine learning concepts, model lifecycle, and deployment strategies. and experience with cloud platforms (AWS, Azure, GCP) and container orchestration using Docker and Kubernetes.
- Experience in fine-tuning and deploying LLMs (e.g., GPT, LLaMA, Falcon) for domain-specific use cases.
- Strong knowledge of RESTful APIs, microservices architecture, and SQL/NoSQL databases.
Desired Requirements
- Experience with Generative AI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI APIs).
- Familiarity with data streaming technologies like Apache Kafka or Spark Streaming and Exposure to big data ecosystems (Hadoop, Hive, etc.).
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