Technical Lead – Data & AI

Kasadara Technology Solutions


Date: 7 hours ago
City: Coimbatore, Tamil Nadu
Contract type: Full time
Key Responsibilities

 Data & AI Expertise

  • Architect modern data architectures including data lakes, data warehouses, lakehouses, and real-time streaming platforms
  • Design and implement ML/AI systems including model training pipelines, feature stores, model serving infrastructure, and MLOps practices
  • Lead the development of advanced analytics solutions leveraging machine learning, deep learning, NLP, computer vision, and generative AI
  • Establish data governance frameworks, ensuring data quality, security, privacy, and compliance standards
  • Optimize data pipelines and AI models for cost efficiency, performance, and scalability

Cloud & Infrastructure

  • Architect 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 performance
  • Implement security, compliance, and disaster recovery protocols for data platforms
  • Design scalable microservices architectures for AI/ML model deployment

Artificial Intelligence

  • Lead 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) systems
  • Develop and fine-tune small language models when appropriate for specialized use cases or cost optimization
  • Pioneer Agentic AI systems that can autonomously perform complex tasks and decision-making
  • Establish MLOps practices including model versioning, monitoring, and continuous improvement

Technical Leadership

  • Provide hands-on technical guidance and mentorship to data engineers, data scientists, and ML engineers
  • Conduct architecture reviews and ensure adherence to best practices and coding standards
  • Stay ahead of emerging technologies and evaluate their applicability to business challenges
  • Lead proof-of-concepts and pilot projects for innovative data and AI solutions
  • Make critical technical decisions with long-term scalability and maintainability in mind Collaboration
  • Translate complex technical architectures into clear, compelling narratives for executive leadership
  • Present technical roadmaps, project updates, and ROI analyses to C-level stakeholders
  • Collaborate with product managers, business analysts, and domain experts to understand requirements
  • Document architectural decisions, technical specifications, and design patterns comprehensively
  • Facilitate cross-functional workshops and design thinking sessions
  • Represent the organization at industry conferences, meetups, and technical forums

Required Technical Skills

 Data Engineering & Platforms

  • Expert-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 techniques
  • Expertise in both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis)

AI & Machine Learning

  • Proven track record of deploying production ML systems at scale
  • Strong foundation in machine learning algorithms, deep learning architectures, and statistical modeling
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face)
  • Hands-on experience with LLMs, generative AI, and prompt engineering
  • Knowledge of MLOps tools and practices (MLflow, Kubeflow, SageMaker, Vertex AI)
  • Experience with computer vision, NLP, recommendation systems, or forecasting models
  • Knowledge of Agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI)

Cloud & Infrastructure

  • Extensive experience with cloud platforms (AWS, Azure, or GCP) with deep understanding of data and AI services
  • Proficiency 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 & Development
  • Expert-level programming skills in Python and SQL
  • Proficiency in at least one additional language (Java, Scala, or Go)
  • Strong understanding of software engineering principles, design patterns, and clean code practices
  • Experience with version control systems (Git) and collaborative development workflows

Required Soft Skills

Communication Excellence (Critical)

  • Exceptional verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences
  • Outstanding written communication for documentation, technical proposals, and stakeholder reports
  • Immediate joiner or maximum 20 days of notice period

Why Join Us?

At Kasadara Technology Solutions, you’ll be part of a team that values innovation, collaboration.

Apply now

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