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Senior Python Developer

SoftStandard Solutions
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Senior Python Developer (AI/ML)

Location: Multiple locations in United States(U.S.-based candidates only)
Employment Type: W2 Contract
Experience: 9+ Years (Senior-Level)

Key Responsibilities

  • Build, train, optimize, and deploy advanced ML and Deep Learning models.
  • Develop scalable AI systems using PyTorch, TensorFlow, Keras, Hugging Face Transformers, LangChain, OpenAI GPT, LlamaIndex, and related tools.
  • Implement Generative AI, LLM fine-tuning, RAG architectures, embeddings, and vector databases.
  • Drive MLOps initiatives using MLflow, Kubeflow, Weights & Biases, Amazon SageMaker, or similar platforms.
  • Partner with Data Science teams to transform POCs into enterprise-grade AI solutions.
  • Architect and develop high-performance services using Python, FastAPI, Flask, or Django.
  • Build microservices and distributed systems leveraging Kafka, AWS Lambda, EventBridge, or similar event-driven frameworks.
  • Ensure test coverage, scalability, and adherence to coding best practices.
  • Work closely with data engineering teams to design efficient ETL workflows.
  • Utilize SQL/NoSQL databases including PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, and vector stores (FAISS, Pinecone, Weaviate).
  • Optimize data pipelines for speed, reliability, and throughput.
  • Cloud, DevOps & Deployment
  • Deploy and maintain solutions on AWS, Azure, or Google Cloud Platform.
  • Implement CI/CD pipelines via GitHub Actions, GitLab CI, Jenkins, or similar tools.
  • Use Docker, Kubernetes, and Helm for containerization and orchestration.
  • Lead technical decisions and influence AI/ML roadmap.
  • Mentor junior engineers and collaborate with cross-functional teams (Data Science, Product, DevOps).
  • Communicate complex technical concepts to both technical and business stakeholders.

Required Qualifications

  • 9+ years of Python development experience (backend + AI/ML).
  • Strong hands-on experience with Deep Learning, NLP, LLMs, and modern AI frameworks.
  • Proven experience deploying ML models in production environments.
  • Cloud expertise in AWS/Azure/GCP.
  • Strong understanding of software architecture, algorithms, and system design.
  • Experience with Docker, Kubernetes, Git, and CI/CD pipelines.
  • Excellent communication skills (written & verbal) for U.S. client interaction.
  • Experience with end-to-end GenAI pipelines and enterprise AI adoption.
  • Experience with LLM Orchestration frameworks (LangChain, LlamaIndex).
  • Distributed computing tools (Spark, Ray, Databricks).
  • Experience working in agile, cross-functional, and remote U.S.-based engineering teams.

Compensation & Benefits

Competitive U.S. compensation package (W2).

Opportunity to work on cutting-edge AI/ML applications.

GC filing, STEM support and H1B is accepted.