Python Developer

Senior Python Developer – Machine Learning & AI Location: Onsite as per the client's requirement Project type: W2 contract About Softstandard Solutions Softstandard Solutions is a leading staffing and consulting firm specializing in placing top-tier technology talent with Fortune 500 companies and high-growth organizations across the United States. We have deep expertise in AI, Machine Learning, and Python engineering and a proven track record of connecting exceptional candidates with industry-leading clients nationwide. Roles & Responsibilities Design and develop scalable Python-based AI/ML applications and pipelines for production Build, train, and deploy ML and deep learning models across NLP, Computer Vision, and Generative AI Fine-tune LLMs and build RAG pipelines, AI agents, and prompt engineering workflows Develop and maintain REST and gRPC APIs for high-throughput model serving Implement MLOps practices — experiment tracking, model versioning, drift monitoring, and retraining Optimize models via quantization, pruning, distillation, and ONNX for efficient inference Mentor engineers and drive best practices across the team Requirements 7–9 years of overall experience — majority in Python and AI/ML roles 4+ years deploying ML/AI systems in production environments Strong expertise in PyTorch, TensorFlow, or JAX and classical ML libraries Hands-on LLM experience — fine-tuning, RAG, LangChain, LlamaIndex, HuggingFace Solid MLOps skills — MLflow, Kubeflow, Airflow, SageMaker, or Vertex AI Cloud proficiency — AWS, GCP, or Azure with Docker and Kubernetes Degree in CS, Engineering, Mathematics, or equivalent experience Tools & Technologies Python · PyTorch · TensorFlow · HuggingFace · LangChain · LlamaIndex · LangGraph · AutoGen · FastAPI · MLflow · Kubeflow · Airflow · SageMaker · Vertex AI · Pinecone · Qdrant · PySpark · Snowflake · BigQuery · Docker · Kubernetes · AWS · GCP · Azure · Git Engagement Types W2 Contract · Project-based · Bench Intake To Apply Send your updated resume along with work authorization status, preferred engagement type, expected rate or salary, and availability to connect with our recruiting team. We respond within 48 hours.