Software Engineer

AI/ML Engineer — Job Description

Contract type: W2

About the Role

Soft Standard Solutions is a leading staffing and consulting firm, specializing in connecting skilled IT professionals with top clients across the US and helping candidates secure strong, long-term placements. We are currently hiring a Software Engineer with good experience in Python development and Machine Learning for one of our esteemed clients. This is a great opportunity for someone who enjoys building scalable software while applying ML techniques to solve real-world problems, with the added support of our placement and career guidance services throughout the process.

Roles & Responsibilities

• Design, develop, and deploy machine learning models for real-world business use cases
• Perform data collection, preprocessing, feature engineering, and exploratory data analysis
• Train, evaluate, and fine-tune ML/DL models for accuracy, performance, and scalability
• Build and deploy AI/ML pipelines into production environments
• Work with NLP, Computer Vision, or Generative AI/LLM use cases as applicable
• Integrate ML models into applications via APIs and microservices
• Collaborate with data engineers, software developers, and product teams to deliver AI-driven solutions
• Monitor deployed models for performance, drift, and retraining needs (MLOps)
• Conduct experiments, A/B testing, and document model performance and findings
• Stay current with emerging AI/ML trends, tools, and research

Required Skillset

• Core: Python, Statistics, Data Structures & Algorithms
• ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
• Data Handling: Pandas, NumPy, SQL, Data Preprocessing, Feature Engineering
• Specializations: NLP, Computer Vision, Generative AI/LLMs (as applicable)
• MLOps & Deployment: MLflow, Docker, Kubernetes, Model Serving (Flask/FastAPI)
• Cloud Platforms: AWS/Azure/GCP (SageMaker, Azure ML, Vertex AI)
• Other: Git, Jupyter Notebooks, Agile/Scrum, Model Evaluation Metrics