Senior AI Engineer

5 days ago

Delhi, India DarGlobal Full time

Role Overview:We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy advanced AI/ML solutions that solve complex business challenges and power next-generation products. The ideal candidate has strong expertise in machine learning, deep learning, and generative AI, with proven experience building scalable systems in production environments.As a senior member of the team, you will play a hands-on technical role while also mentoring junior engineers, contributing to architectural decisions, and collaborating with cross-functional teams to integrate AI into real-world applications.Key Responsibilities:AI/ML Solution Development- Design, build, and optimize machine learning and deep learning models (supervised, unsupervised, reinforcement learning, generative AI).- Implement end-to-end pipelines, including data ingestion, preprocessing, model training, evaluation, and deployment.- Work with large datasets, structured and unstructured, applying feature engineering and advanced ML techniques.- Research and prototype cutting-edge AI methods (LLMs, RAG, multimodal AI, computer vision, NLP).Systems Engineering & Deployment- Develop scalable, production-grade AI services and APIs.- Apply MLOps best practices: model versioning, CI/CD pipelines, monitoring, and retraining workflows.- Optimize models for latency, scalability, and cost efficiency in cloud (AWS, Azure, GCP) or hybrid environments.- Ensure solutions are secure, resilient, and compliant with data governance standards.Collaboration & Leadership- Partner with data scientists, product managers, and software engineers to translate business needs into AI solutions.- Mentor junior engineers and contribute to building a high-performance AI engineering culture.- Influence architectural decisions on AI/ML platforms, frameworks, and tools.- Contribute to technical documentation, design reviews, and coding best practices.Innovation & Continuous Learning- Stay current with AI research, frameworks, and tools, and assess their potential adoption.- Experiment with generative AI and emerging technologies to enhance organizational capabilities.- Advocate for responsible and ethical AI practices.Qualifications & Experience:- Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field (PhD preferred).- 5–8 years of experience in AI/ML engineering with a proven track record of delivering production systems.- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX).- Proficiency in Python (and optionally C++/Java for performance-critical components).- Strong background in data engineering (SQL/NoSQL, Spark, Kafka, or similar).- Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).- Strong knowledge of MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).- Expertise in NLP, computer vision, or generative AI is highly desirable.- Familiarity with vector databases (Pinecone, Weaviate, FAISS) and RAG architectures.

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