Ai Ml Engineer

6 days ago

Kolkata, West Bengal, India Redoq Software Services Full time US$ 1,20,000 - US$ 2,00,000 per year

AI/ML Engineer Generative Systems About the Role We are building AI-powered systems that can automatically generate high-quality, structured content for a wide variety of applications. As a Mid-Level AI/ML Engineer, you will design, implement, and optimize AI models that produce consistent, reliable, and context-aware outputs at scale. You will collaborate with backend engineers, product designers, and domain experts to ensure AI-generated outputs align with functional requirements, user experience goals, and product quality standards. Responsibilities
• Develop and integrate AI models (e.g., GPT, fine-tuned LLMs) to produce structured and unstructured content.
• Design and implement prompt engineering strategies to maintain consistency and relevance.
• Build validation pipelines to ensure outputs meet defined schemas, formats, or constraints.
• Collaborate with data engineers to prepare, clean, and structure datasets for training and evaluation.
• Monitor, benchmark, and optimize model performance for accuracy, scalability, and reliability.
• Work with product teams to align AI outputs with user needs and market requirements.
• Contribute to automation of AI testing, monitoring, and deployment workflows (MLOps). Requirements
• 3+ years of experience in Machine Learning or Applied AI roles.
• Strong proficiency in Python and popular ML/AI frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience with LLM APIs (OpenAI, Anthropic, etc.) or fine-tuning large language models.
• Familiarity with prompt engineering and structured data generation techniques.
• Solid understanding of data preprocessing, feature engineering, and model evaluation.
• Experience with REST APIs and integrating AI systems into production environments.
• Knowledge of cloud platforms (AWS, GCP, Azure) for deploying ML workloads.
• Strong problem-solving mindset with attention to detail. Nice to Have
• Experience with MLOps tools (MLflow, Kubeflow, Vertex AI).
• Knowledge of data validation frameworks and automated testing for AI outputs.
• Background in human-in-the-loop systems for AI quality improvement.
• Familiarity with vector databases (Pinecone, Weaviate, Milvus) for AI-assisted search/retrieval. What We Offer
• Opportunity to shape next-generation AI-powered products.
• Collaborative and innovative work environment.
• Flexible work arrangements and competitive compensation.
• A chance to build technology that empowers creativity, efficiency, and scale.

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