Technical Lead – Data

Key ResponsibilitiesData & AI ExpertiseArchitect modern data architectures including data lakes, data warehouses, lakehouses, and real-time streaming platformsDesign and implement ML/AI systems including model training pipelines, feature stores, model serving infrastructure, and MLOps practicesLead the development of advanced analytics solutions leveraging machine learning, deep learning, NLP, computer vision, and generative AIEstablish data governance frameworks, ensuring data quality, security, privacy, and compliance standardsOptimize data pipelines and AI models for cost efficiency, performance, and scalabilityCloud & InfrastructureArchitect cloud-native solutions on Azure, AWS, or GCP (multi-cloud experience is a strong plus)Lead cloud migration strategies and optimize infrastructure costs while maintaining performanceImplement security, compliance, and disaster recovery protocols for data platformsDesign scalable microservices architectures for AI/ML model deploymentArtificial IntelligenceLead deep learning initiatives for complex problem-solving including computer vision, NLP, and predictive modeling Architect Large Language Model (LLM) solutions and RAG (Retrieval-Augmented Generation) systemsDevelop and fine-tune small language models when appropriate for specialized use cases or cost optimizationPioneer Agentic AI systems that can autonomously perform complex tasks and decision-makingEstablish MLOps practices including model versioning, monitoring, and continuous improvementTechnical LeadershipProvide hands-on technical guidance and mentorship to data engineers, data scientists, and ML engineersConduct architecture reviews and ensure adherence to best practices and coding standardsStay ahead of emerging technologies and evaluate their applicability to business challengesLead proof-of-concepts and pilot projects for innovative data and AI solutionsMake critical technical decisions with long-term scalability and maintainability in mind CollaborationTranslate complex technical architectures into clear, compelling narratives for executive leadershipPresent technical roadmaps, project updates, and ROI analyses to C-level stakeholdersCollaborate with product managers, business analysts, and domain experts to understand requirementsDocument architectural decisions, technical specifications, and design patterns comprehensivelyFacilitate cross-functional workshops and design thinking sessionsRepresent the organization at industry conferences, meetups, and technical forumsRequired Technical SkillsData Engineering & PlatformsExpert-level proficiency in modern data stack technologies (Snowflake, Databricks, BigQuery, Redshift)Deep experience with distributed computing frameworks (Apache Spark, Flink, Kafka)Strong knowledge of ETL/ELT tools, data integration patterns, and data modeling techniquesExpertise in both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis)AI & Machine LearningProven track record of deploying production ML systems at scaleStrong foundation in machine learning algorithms, deep learning architectures, and statistical modelingExperience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face)Hands-on experience with LLMs, generative AI, and prompt engineeringKnowledge of MLOps tools and practices (MLflow, Kubeflow, SageMaker, Vertex AI)Experience with computer vision, NLP, recommendation systems, or forecasting modelsKnowledge of Agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI)Cloud & InfrastructureExtensive experience with cloud platforms (AWS, Azure, or GCP) with deep understanding of data and AI servicesProficiency in infrastructure as code (Terraform, CloudFormation)Experience with containerization and orchestration (Docker, Kubernetes)Knowledge of CI/CD pipelines and DevOps practices for data and ML workloads Programming & DevelopmentExpert-level programming skills in Python and SQLProficiency in at least one additional language (Java, Scala, or Go)Strong understanding of software engineering principles, design patterns, and clean code practicesExperience with version control systems (Git) and collaborative development workflowsRequired Soft SkillsCommunication Excellence (Critical)Exceptional verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiencesOutstanding written communication for documentation, technical proposals, and stakeholder reportsImmediate joiner or maximum 20 days of notice periodWhy Join Us?At Kasadara Technology Solutions, you'll be part of a team that values innovation, collaboration.Apply nowShare This" >Click to email a link to a friend (Opens in new window) EmailClick to share on WhatsApp (Opens in new window) WhatsAppLike ThisLike Loading...Related