𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐀𝐖𝐒, SageMaker)

Role: 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐀𝐖𝐒, SageMaker,𝐋𝐋𝐌)

Location: Hyderabad

Experience: 5–10 Years

Domain Preference: Healthcare and life Science

Preferred: Immediate Joiners

We are looking for a highly skilled Machine Learning Engineer with 5–10 years of experience to join our growing team in Hyderabad. If you are passionate about building intelligent AI/ML solutions and want to make an impact in the Healthcare and Life Sciences domain, we’d love to connect with you.

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬

• Development & deploy ML pipelines using SageMaker, Bedrock, Lambda, Step Functions
• Develop LLM-based RAG solutions with Amazon Bedrock, JumpStart, & custom fine-tuned models
• Integrate vector databases like Pinecone, Weaviate, Amazon OpenSearch
• Implement full ML lifecycle with CI/CD, monitoring, and MLOps best practices
• Ensure observability using CloudWatch, Prometheus, Grafana
• Collaborate on AI-enabled applications (chatbots, summarizers, embeddings)
• Ensure compliance, model explainability, and security

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

• 5–10 years of experience in Machine Learning / AI Engineering
• Strong hands-on experience with Python, ML frameworks such as Scikit-learn, TensorFlow, PyTorch, and data libraries like Pandas, NumPy
• Experience in building and deploying ML models on cloud platforms such as AWS.
• Good understanding of MLOps, model deployment, monitoring, and CI/CD for ML pipelines
• Experience with SQL, data engineering concepts, and large-scale data processing
• Domain experience in Healthcare / Life Sciences / Pharma / Clinical / Oncology / Real World Data is highly preferred
• Knowledge of NLP, LLMs, RAG, or Generative AI will be a strong advantage
• 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐀𝐖𝐒: SageMaker (Pipelines, Ground Truth, JumpStart), Amazon Bedrock / Claude / OpenAI

Send your resume to: careers@sidinformation.com