AI/ML Software Engineer

Job Description.

Overview:

Seeking an experienced AI/ML Software Engineer with strong software engineering background and specialized expertise in Artificial Intelligence, Machine Learning, and AWS cloud technologies. This role involves building scalable AI solutions, leveraging advanced AI frameworks, and supporting Generative AI initiatives to enhance client-facing and employee-facing experiences.

Must-Have Skills & Experience:

• 5+ years of software engineering experience
• 3+ years of hands-on experience in Artificial Intelligence / Machine Learning
• Strong experience with AWS services including AWS SageMaker and cloud-native architectures
• Proficiency in programming languages such as Python, R, Scala, Spark
• Experience with AI/ML frameworks: TensorFlow, scikit-learn, Keras, PyTorch (Torch), Microsoft CNTK, Caffe, Gluon
• Familiarity with Natural Language Processing (NLP)tasks including sentiment analysis, classification, and pattern recognition
• Working knowledge of Generative AI (GenAI) technologies, including prompt engineering, guardrails, and large language model (LLM) fine-tuning
• Experience with Vector Databases (VectorDBs)and data infrastructures supporting Generative AI pipelines
• Proven ability to train, deploy, and maintain large language models in production environments
• Experience with Agile software development and DevOps/DevSecOps best practices
• Strong communication skills to present technical concepts effectively to both technical and business audience

Key Responsibilities:

• Collaborate with cross-functional teams to identify AI opportunities that improve client and employee experiences
• Provide technical leadership and drive AI solution design and implementation at scale across distributed environments
• Partner with Architecture, Foundations, and Security teams to define industrialized AI design patterns
• Design and capture data measurement strategies for AI solutions
• Develop, monitor, and scale AI components, APIs, and loosely coupled applications integrated with high-availability systems
• Ensure robust security, reliability, and scalability by incorporating test-driven development and automated deployment pipelines
• Mentor junior engineers and lead code reviews to foster continuous improvement
• Analyze performance, stability, and reliability metrics and recommend optimizations
• Plan and execute automated and load testing to ensure production readiness
• Participate actively in Agile sprint cycles, owning and supporting the delivery and maintenance of AI solutions
• Promote an AI-first mindset and contribute to democratizing AI across the client organization