Bangalore, Karnataka, India
Space Exploration & Research, Information Technology
Full-Time
Kasadara Technology Solutions
Overview
Key Responsibilities
Data & AI Expertise
Data Engineering & Platforms
Communication Excellence (Critical)
At Kasadara Technology Solutions, you’ll be part of a team that values innovation, collaboration.
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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
- 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
- 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
- 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
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)
- 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)
- 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
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
At Kasadara Technology Solutions, you’ll be part of a team that values innovation, collaboration.
Apply now
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