AI Technical LeadStraight from BlitzenX’s careers page. Apply on the company site — no recruiter, no middleman.
PythonPyTorchTensorFlowGenerative AILLMHugging FaceLangChainAWSAzureGCPDockerKubernetesCI/CDMachine LearningDeep LearningRAGMLOpsComputer VisionNLP
AI Technical Lead
Location: Remote, India
Department: PRISM — Product Integration & Systems Management
Experience: 5-10
Position Summary
BlitzenX is looking for a AI/ML Engineer to drive the architectural design, development, and productionization of cutting-edge AI and Machine Learning solutions. The ideal candidate has 5+ years of experience, with a strong background in Machine Learning, Deep Learning, and Generative AI (LLMs). This role requires a hands-on leader who can mentor a team of engineers, set technical standards, and bridge the gap between business needs and technological implementation to deliver scalable AI products.
Key Responsibilities:
Technical Leadership & Architecture: Define the technical roadmap for AI projects, design scalable, secure, and robust AI/ML architectures, and guide developers in implementing complex solutions.
GenAI & LLM Ownership: Spearhead Generative AI initiatives, including Large Language Model (LLM) fine-tuning, RAG (Retrieval-Augmented Generation) system development, prompt engineering, and output quality assessment.
End-to-End Delivery: Own the full AI product lifecycle, from prototyping and proof-of-concept (POC) to production deployment, monitoring, and optimization.
Mentorship & Team Growth: Lead, mentor, and guide a team of AI/ML engineers, conducting code reviews and implementing best practices for coding, testing, and debugging.
MLOps & Deployment: Establish MLOps practices, including containerization (Docker, Kubernetes), CI/CD pipelines, model monitoring, and drift detection to ensure high reliability.
Stakeholder Collaboration: Act as a technical bridge between Product, Data Science, and Business teams to translate business problems into concrete AI solutions.
Innovation & Research: Continuously monitor AI technology trends and introduce innovative techniques (e.g., agentic workflows, multi-modal alignment) to enhance product capabilities.
Required Qualifications & Skills:
Experience: 8+ years of professional experience in AI, Data Science, or Software Engineering, with at least 3+ years in a technical leadership or team lead role.
Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field.
Core Technical Skills:
Languages: Expert-level proficiency in Python.
AI/ML Frameworks: Deep experience with PyTorch, TensorFlow, or JAX.
Generative AI: Hands-on experience with LLMs, Hugging Face, LangChain, and vector databases (e.g., Pinecone, Milvus, Chroma).
Cloud Platforms: Extensive experience deploying models on AWS (SageMaker, Bedrock), Azure, or GCP.
Problem-Solving: Proven ability to solve complex technical issues and manage ambiguity in fast-paced, product-driven environments.
Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
Any post-graduate in Computer Science or related degree.
Experience in designing Agentic AI solutions.
Familiarity with Responsible AI practices, fairness, and bias mitigation.
Background in Computer Vision or Natural Language Processing (NLP).
Key Competencies Needed:
Builder Mentality: Pragmatic, resourceful, and iterative approach to development.
Strategic Thinking: Ability to evaluate build vs. buy decisions based on cost, effort, and risk.
Technical Influence: Capable of influencing peers and management toward effective technical solutions.
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