Kasadara Technology Solutions

1 week ago


Coimbatore, India KASADARA TECHNOLOGY SOLUTIONS PRIVATE LIMITED Full time

Description : Job Title : Technical Lead Data & AICompany : Kasadara Technology SolutionsLocation : Coimbatore, Tamil NaduExperience : 5 to 7 YearsEmployment Type : Full-TimeAbout the Role : Kasadara Technology Solutions is seeking an experienced and innovative Technical Lead Data & AI to drive the design, development, and deployment of next-generation data and artificial intelligence solutions. This role requires a strong technical leader who can architect scalable systems, guide engineering teams, and lead strategic AI initiatives across cloud platforms.The ideal candidate will have a proven track record in data engineering, machine learning, AI system design, and cloud architecture, along with the ability to mentor teams and communicate complex concepts to executive stakeholders.Key Responsibilities : 1. Data & AI Expertise : - Architect modern data ecosystems including data lakes, data warehouses, lakehouses, and real-time streaming platforms.- Design and implement end-to-end ML/AI systemscovering data ingestion, feature engineering, model training, serving, and monitoring.- Lead the development of advanced analytics solutions using machine learning, deep learning, NLP, computer vision, and generative AI.- Establish data governance frameworks ensuring data quality, privacy, and compliance with security standards.- Optimize data pipelines and AI models for performance, scalability, and cost efficiency.2. Cloud & Infrastructure : - Architect cloud-native data and AI solutions on AWS, Azure, or Google Cloud Platform (GCP).- Lead cloud migration strategies and optimize infrastructure utilization and costs.- Implement security, compliance, and disaster recovery best practices for cloud-based data environments.- Design and manage microservices architectures for scalable AI model deployment.3. Artificial Intelligence : - Lead deep learning projects in domains such as computer vision, NLP, predictive analytics, and recommendation systems.- Architect Large Language Model (LLM) and RAG (Retrieval-Augmented Generation) solutions for enterprise AI applications.- Develop and fine-tune domain-specific language models for performance and cost optimization.- Implement Agentic AI systems leveraging frameworks like LangChain, LangGraph, AutoGen, or CrewAI.- Drive MLOps adoption, including version control, monitoring, and continuous model improvement.4. Technical Leadership : - Provide hands-on technical mentorship to data engineers, ML engineers, and data scientists.- Conduct architecture reviews, enforce coding standards, and promote best practices across teams.- Lead proof-of-concept initiatives to evaluate emerging technologies and tools for data and AI.- Make critical design and architectural decisions to ensure long-term system scalability and maintainability.- Foster a culture of innovation, collaboration, and technical excellence within the data & AI team.5. Collaboration & Communication : - Collaborate with product managers, business analysts, and domain experts to align technical solutions with business needs.- Present technical roadmaps, architecture proposals, and ROI analyses to senior leadership and C-level executives.- Translate complex technical concepts into clear, business-oriented narratives for non-technical stakeholders.- Maintain comprehensive documentation for architectural decisions, APIs, data pipelines, and design patterns.- Represent Kasadara Technology Solutions at industry events, conferences, and technical forums.Required Technical Skills : Data Engineering & Platforms : - Expert-level experience with modern data platforms such as Snowflake, Databricks, BigQuery, or Amazon Redshift.- Strong knowledge of distributed computing frameworks like Apache Spark, Flink, and Kafka.- Proficiency in ETL/ELT processes, data integration patterns, and data modeling techniques.- Hands-on experience with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).AI & Machine Learning : - Proven track record in deploying ML systems at scale in production.- Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling.- Proficiency with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.- Experience in LLMs, generative AI, and prompt engineering.- Familiarity with MLOps tools like MLflow, Kubeflow, SageMaker, or Vertex AI.- Exposure to computer vision, NLP, forecasting, or recommendation systems.Cloud & Infrastructure : - Strong experience with AWS, Azure, or GCPespecially data and AI-specific services (e.g., S3, Redshift, BigQuery, Synapse, SageMaker).- Proficiency in Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.- Hands-on expertise in Docker and Kubernetes for containerization and orchestration.- Experience in setting up CI/CD pipelines and integrating DevOps practices for ML workloads.Programming & Development : - Expert-level programming in Python and SQL.- Proficiency in one or more additional languages such as Java, Scala, or Go.- Strong understanding of software engineering principles, design patterns, and clean coding practices.- Experience using Git, GitHub/GitLab, and collaborative development workflows.Required Soft Skills : - Exceptional verbal and written communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences.- Strong leadership and mentoring capabilities.- Excellent problem-solving, analytical thinking, and decision-making abilities.- Ability to thrive in a fast-paced, dynamic environment with multiple stakeholders.- Immediate joiners or candidates with maximum 20 days notice period preferred.Why Join Kasadara Technology Solutions : - Be part of a forward-thinking technology team driving innovation in data and AI.- Work with cutting-edge technologies in cloud computing, MLOps, and large-scale AI systems.- Collaborative culture that promotes continuous learning and professional growth.- Opportunity to lead high-impact AI transformation initiatives across industries. (ref:hirist.tech)


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