149+ Applicants
Posted: 6 months ago
9-11 years
Chennai, Pune, Bengaluru
work from office
Posted: 6 months ago
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Applicants: 149+
Job Description
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Job Description
- 10+ years of progressive experience in designing and implementing enterprise-grade AI/ML solutions.
- Minimum of 3 successful end-to-end project implementations of AI/ML/GenAI solutions in production environments, demonstrating strong business impact and scalability.
- Deep expertise in Generative AI architectures, including but not limited to:
- Large Language Models (LLMs) - prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, prompt chaining, agentic workflows.
- Generative Adversative Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, etc.
- Experience with various LLM frameworks/libraries (e.g., LangChain, LlamaIndex).
- Proven experience with leading cloud AI platforms (at least one of the following):
- AWS: SageMaker, Comprehend, Textract, Polly, Bedrock, etc.
- Azure: Azure Machine Learning, Azure OpenAI Service, Cognitive Services.
- GCP: Vertex AI, Google Cloud AI Platform, Google Cloud Vision/Natural Language AI.
- Strong understanding of core Machine Learning concepts and algorithms: Supervised, Unsupervised, Reinforcement Learning, Deep Learning.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face Transformers).
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- Experience with MLOps principles and tools: CI/CD for ML, model versioning, monitoring, deployment, drift detection (e.g., MLflow, Kubeflow, Sagemaker MLOps services, Azure ML pipelines).
- Solid understanding of data engineering principles relevant to AI/ML workloads (data pipelines, ETL/ELT, data governance, feature stores).
- Strong knowledge of distributed computing frameworks (e.g., Spark, Dask) for large-scale data processing.
- Exceptional communication skills (written and verbal): Ability to articulate complex technical concepts to both technical and non-technical stakeholders, conduct compelling presentations, and influence decision-making.
- Demonstrated experience in leading architectural design discussions and making critical technical decisions.
- Problem-solving mindset with the ability to troubleshoot and resolve complex technical issues in production.
Skills
Artificial IntelligenceMachine LearningPythonIntelligenceMlMachineArchitectureAlgorithmsPythonCloudIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
14 Dec 25, 06:59 PM IST
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