Job Specifications
Position: AI/ML Engineer
location: Remote
Duration: long term
Key Responsibilities
Updated JD
AI/ML Engineer - Mid-Level (4-7 Years Experience)
Overview
We are seeking an innovative and results-oriented Mid-Level AI/ML Engineer to join our dynamic team. This role is crucial for transforming novel concepts into robust, production-ready AI solutions. The ideal candidate possesses a strong background in Machine Learning engineering, extensive experience with cutting-edge LLMs and cloud-based AI services, and a commitment to maintaining high-quality, responsible AI systems.
Key Responsibilities
• Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving.
• LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems.
• Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock, to build scalable and efficient solutions.
• MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration.
• Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality.
• Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact.
• Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features.
Required Qualifications
• Experience: 4-7 years of professional experience in Machine Learning Engineering, AI Development, or a closely related field.
• Education: Master’s degree in Computer Science, Data Science, Engineering, or a quantitative field.
• Technical Proficiency:
Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure).
Deep understanding of the architecture and fine-tuning of Large Language Models.
• Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow) and validation frameworks (e.g., DeepEval).
• Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.
Preferred Qualifications
• Hands-on experience developing applications or services using Google's Gemini API or models.
• Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock.
• Experience in building and managing multi-step, reasoning-based Agentic AI systems.
• Prior experience in optimizing models for latency and cost efficiency in a production environment.
About the Company
Delta System & Software, Inc. is one of the fastest growing IT service companies in the United States. We have presence in three country USA, Canada and India and expanding our operation in Middle East and Europe. We are leading providers of ERP, e-Business solutions and offering a full range of SAP Services from design through implementation, development, training and support. We provide high quality on-site and remote consulting services for growing enterprises worldwide and give them a significant competitive advantage.
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