At FourKites we have the opportunity to tackle complex challenges with real-world impacts Whether it s medical supplies from Cardinal Health or groceries for Walmart the FourKites platform helps customers operate global supply chains that are efficient agile and sustainable Join a team of curious problem solvers that celebrates differences leads with empathy and values inclusivity We are seeking an experienced Senior Engineering Manager to lead our AI ML engineering teams in building cutting-edge artificial intelligence solutions This role requires a unique blend of technical expertise in AI ML proven engineering leadership and strategic thinking to drive innovation at scale Key Responsibilities Technical Leadership Define and execute the technical strategy for AI ML initiatives across multiple product areas Oversee the design and architecture of scalable ML systems from data pipelines to model deployment Drive decisions on technology stack frameworks and infrastructure for AI ML workloads Ensure engineering excellence through code reviews design reviews and technical mentorship Stay current with AI ML research and industry trends to inform strategic decisions People Management Lead mentor and grow a team of 15 AI engineers data scientists and software engineers Build high-performing teams through hiring performance management and career development Foster a culture of innovation collaboration and continuous learning Conduct regular 1 1s performance reviews and career development conversations Champion diversity equity and inclusion initiatives within the engineering organization Strategic Planning Execution Partner with Product Management to define AI product roadmap and priorities Translate business objectives into technical initiatives and measurable outcomes Manage multiple concurrent AI ML projects from conception to production deployment Establish and track KPIs for team performance model quality and system reliability Balance innovation with pragmatic delivery to meet business deadlines Cross-functional Collaboration Work closely with Data Science Product Design and other engineering teams Communicate technical concepts and trade-offs to non-technical stakeholders Represent engineering in executive discussions and strategic planning sessions Build relationships with external partners vendors and research institutions Drive alignment across teams on AI ethics responsible AI practices and governance Operational Excellence Establish best practices for ML model development testing and deployment Implement MLOps practices for continuous integration and deployment of ML models Ensure compliance with data privacy regulations and AI governance policies Drive improvements in model monitoring A B testing and experimentation frameworks Manage engineering budget and resource allocation Required Qualifications Experience 13 years of software engineering experience with 5 years focused on ML AI systems 5 years of engineering management experience including managing managers Proven track record of shipping ML products at scale in production environments Experience with full ML lifecycle data collection feature engineering model training deployment and monitoring Technical Skills Deep understanding of machine learning algorithms deep learning and statistical methods Proficiency in ML frameworks TensorFlow PyTorch JAX and programming languages Python Scala Java Experience with distributed computing frameworks Spark Ray and cloud platforms AWS GCP Azure Knowledge of MLOps tools and practices Kubeflow MLflow Airflow Docker Kubernetes Understanding of data engineering ETL pipelines and big data technologies Leadership Competencies Demonstrated ability to build and scale engineering teams Strong communication skills with ability to influence at all levels of the organization Experience driving technical strategy and making architectural decisions Track record of successful cross-functional collaboration and stakeholder management Ability to balance technical depth with business acumen Preferred Qualifications Advanced degree MS PhD in Computer Science Machine Learning or related field Deep experience with Large Language Models LLMs Small Language Models SLMs and generative AI applications Expertise in building production AI agent systems Multi-agent architectures and swarm intelligence Memory systems short-term long-term episodic and semantic memory Planning algorithms hierarchical planning goal decomposition and backtracking Tool use and function calling optimization Agent communication protocols and coordination strategies Experience with advanced agent frameworks DSPy Guidance LMQL Outlines for constrained generation Knowledge of prompt engineering techniques few-shot chain-of-thought self-consistency constitutional AI Experience with RAG architectures vector stores hybrid search re-ranking and query optimization Expertise in training techniques supervised fine-tuning RLHF DPO PPO constitutional AI and synthetic data generation Experience with parameter-efficient fine-tuning methods LoRA QLoRA prefix tuning and adapter layers Knowledge of model optimization techniques quantization INT8 INT4 distillation pruning and flash attention Extensive experience in dataset curation for LLM training Web-scale data processing Common Crawl C4 RefinedWeb methodologies Creating instruction-tuning datasets Alpaca Dolly FLAN-style formats Building preference datasets for RLHF DPO training Domain adaptation and specialized corpus creation Multi-lingual and code dataset preparation Knowledge of data mixing strategies replay buffers and curriculum learning for optimal training Experience with data augmentation techniques paraphrasing back-translation and synthetic data generation using LLMs Expertise in data decontamination and benchmark pollution prevention Experience with workflow automation platforms n8n Zapier Make for business process automation Knowledge of enterprise integration patterns event-driven architectures saga patterns and CQRS Strong background in data science statistical analysis A B testing experimentation design and causal inference Experience with data mesh architectures and building self-serve data platforms Expertise in data quality frameworks data contracts and SLA management for data pipelines Experience with vector databases Pinecone Weaviate Qdrant Milvus ChromaDB FAISS and embedding systems Knowledge of privacy-preserving ML techniques differential privacy federated learning secure multi-party computation Background in specific AI domains NLP Computer Vision Recommendation Systems or Reinforcement Learning Experience with LLM evaluation frameworks and benchmarking HELM EleutherAI eval harness BigBench Hands-on experience with popular LLM frameworks Hugging Face Transformers vLLM TGI Ollama LiteLLM Experience with dataset processing tools Datasets library Apache Beam Spark NLP Publications or contributions to open-source ML projects Experience in high-growth technology companies or AI-first organizations Knowledge of AI safety ethics and responsible AI practices Experience with multi-modal models and vision-language models What We Offer Opportunity to work on cutting-edge AI technology with real-world impact Competitive compensation package including equity Access to state-of-the-art computing resources and research tools Budget for conferences training and professional development Collaborative setting with talented engineers and researchers Flexible work arrangements and comprehensive benefits Who we are FourKites the leader in AI-driven supply chain transformation for global enterprises and pioneer of advanced real-time visibility turns supply chain data into automated action FourKites Intelligent Control Tower TM breaks down enterprise silos by creating a real-time digital twin of orders shipments inventory and assets This comprehensive view combined with AI-powered digital workers enables companies to prevent disruptions automate routine tasks and optimize performance across their supply chain FourKites processes over 3 2 million supply chain events daily from purchase orders to final delivery helping 1 600 global brands prevent disruptions make faster decisions and move from reactive tracking to proactive supply chain orchestration Working at FourKites We provide competitive compensation with stock options outstanding benefits and a collaborative culture for all employees around the globe including 5 global recharge days in addition to standard holidays and a hybrid flexible approach to work Parental leave for all parents an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others Opportunities throughout the year to learn and celebrate diversity Access to leading AI tools and foundation models with the freedom to experiment and find creative ways to be more effective in your role And we re always listening for new ways to support everyone in and out of the office

📌 Senior Engineering Manager - Ai (Tamil Nadu)
🏢 fourkites
📍 Tamil Nadu