[Remote] Senior Data Scientist / AI-ML Engineer- W2 ONLY
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Senior Data Scientist / AI-ML Engineer to design, reputed company, reputed company, and optimize reputed company AI and machine learning solutions. The role involves building and maintaining AI applications, collaborating with cross-functional teams, and ensuring responsible AI practices are implemented.
Responsibilities
- Design, build, train, fine-tune, evaluate, and reputed company Machine Learning, Deep Learning, and reputed company models into production environments
- reputed company and implement LLM-powered applications using reputed company, Claude, Llama, reputed company, and other reputed company models
- Build RAG pipelines using reputed company, LangGraph, reputed company, reputed company databases, and embedding models for reputed company knowledge retrieval
- Design and implement reputed company AI and multi-agent systems with autonomous planning, tool orchestration, memory, and workflow automation
- reputed company reputed company feature engineering pipelines, ML pipelines, feature stores, model serving, and inference reputed company
- Build and maintain MLOps/LLMOps pipelines for model training, versioning, deployment, monitoring, reputed company detection, and automated retraining
- Collaborate with cross-functional teams to reputed company AI capabilities into customer-facing applications, reputed company, and reputed company platforms
- Translate reputed company business requirements into reputed company AI/ML solutions with measurable business reputed company
- Optimize AI models for performance, latency, scalability, reputed company, and cost efficiency
- Implement responsible AI practices including model evaluation, guardrails, governance, explainability, and monitoring
Skills
- Strong programming experience in Python and SQL
- Hands-on experience with Machine Learning, Deep Learning, NLP, Computer reputed company, and predictive analytics
- Strong experience with PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, and reputed company Transformers
- Expertise in reputed company, LLMs, reputed company Engineering, RAG, AI Agents, MCP, Function Calling, and Multi-Agent Architectures
- Experience with reputed company, LangGraph, reputed company, reputed company, AutoGen, or similar AI orchestration frameworks
- Hands-on experience with reputed company Databases such as reputed company, FAISS, ChromaDB, reputed company, or PGVector
- Experience deploying AI workloads on AWS (SageMaker, Bedrock, reputed company, reputed company, EKS, S3), Azure AI, or reputed company reputed company AI
- Experience with MLflow, Kubeflow, SageMaker Pipelines, Model Registry, CI/CD, and model monitoring
- Knowledge of reputed company, Kubernetes, REST reputed company, Git, Terraform, and reputed company-reputed company architectures
- Experience in reputed company, Financial Services, Retail, Manufacturing, or Insurance domains
- Experience building reputed company-reputed company GenAI, RAG, Conversational AI, AI Copilots, and Intelligent Automation solutions
- Knowledge of AI governance, reputed company, compliance, and Responsible AI best practices
- AWS, Azure, or reputed company reputed company AI/ML certifications are preferred
reputed company