Data Scientist + AI Engineer (Noida)

Job Title - Data Scientist + AI Engineer Experience Required: 8+ years Timezone: 4:30/5:00 PM to 1:30/2:00 AM IST Budget: 1.5 - 1.6 LPM Work Mode: Remote High competency with Math: Linear Algebra, Advanced Calculus, Statistics (Descriptive and Inferential) Machine Learning and Neural Networks: Regression, Classification, and unsupervised learning techniques like clustering. LLMs: Agentic AI, MCP, Multi-agent systems, MLOps, Langchain, Langraph, AWS Strands. AWS cloud setting: IAM, S3, lambdas, API Gateway, Dynamo DB, Sagemaker, OpenSearch Hands-on with frameworks/tools like scikit-learn, pandas, Jupyter Notebook, TensorFlow, PyTorch, etc. Required Skills Qualifications - Strong foundation in Data Science, Machine Learning, and Artificial Intelligence. - Solid understanding of Mathematics (Linear Algebra, Probability, Statistics, Optimization) - Hands-on experience with model training, fine-tuning, and evaluation - Experience working with LLMs or foundation models and understanding their architecture - Proficiency in programming languages such as Python - Experience with ML frameworks like TensorFlow, PyTorch, or similar - Familiarity with data preprocessing, feature engineering, and model deployment pipelines - Understanding of agentic AI frameworks or autonomous systems design Preferred Qualifications - Master's or PhD in Data Science, Artificial Intelligence, Computer Science, Mathematics, or related field - Experience working on real-world AI products or scalable systems - Exposure to MLOps, model deployment, and cloud platforms (AWS, GCP, Azure) Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. Job Title - Data Scientist + AI Engineer Experience Required: 8+ years Timezone: 4:30/5:00 PM to 1:30/2:00 AM IST Budget: 1.5 - 1.6 LPM Work Mode: Remote High competency with Math: Linear Algebra, Advanced Calculus, Statistics (Descriptive and Inferential) Machine Learning and Neural Networks: Regression, Classification, and unsupervised learning techniques like clustering. LLMs: Agentic AI, MCP, Multi-agent systems, MLOps, Langchain, Langraph, AWS Strands. AWS cloud setting: IAM, S3, lambdas, API Gateway, Dynamo DB, Sagemaker, OpenSearch Hands-on with frameworks/tools like scikit-learn, pandas, Jupyter Notebook, TensorFlow, PyTorch, etc. Required Skills Qualifications - Strong foundation in Data Science, Machine Learning, and Artificial Intelligence. - Solid understanding of Mathematics (Linear Algebra, Probability, Statistics, Optimization) - Hands-on experience with model training, fine-tuning, and evaluation - Experience working with LLMs or foundation models and understanding their architecture - Proficiency in programming languages such as Python - Experience with ML frameworks like TensorFlow, PyTorch, or similar - Familiarity with data preprocessing, feature engineering, and model deployment pipelines - Understanding of agentic AI frameworks or autonomous systems design Preferred Qualifications - Master's or PhD in Data Science, Artificial Intelligence, Computer Science, Mathematics, or related field - Experience working on real-world AI products or scalable systems - Exposure to MLOps, model deployment, and cloud platforms (AWS, GCP, Azure) Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.