Job Title : Network Security and Infrastructure Engineer Location : Remote Job Summary We are seeking a skilled and detail-oriented Network Security and Infrastructure Engineer to join our IT security team. The ideal candidate will be responsible for designing, implementing, and managing secure network infrastructure solutions. Proficiency with AlgoSec for firewall and security policy management, and experience using HP Lighthouse for infrastructure monitoring and reporting, is essential. Key Responsibilities Design, implement, and manage secure network infrastructure to support business operations. Use AlgoSec to manage firewall policies, analyze rule changes, and ensure regulatory compliance. Perform security policy audits and recommend rule optimization and risk mitigation strategies. Leverage HP Lighthouse for system and network performance monitoring, capacity planning, and incident reporting. Maintain detailed network diagrams and documentation. Lead vulnerability assessments and implement remediation strategies. Work closely with DevOps, compliance, and application teams to secure cloud and on-premise environments. Evaluate and deploy security products and technologies as needed. Provide support during security incidents, ensuring proper documentation and post-incident analysis. Required Skills & Qualifications Bachelors degree in Computer Science, Information Security, or related field (or equivalent experience). 5+ years of experience in network security, infrastructure management, or related roles. Hands-on experience with AlgoSec Security Management Suite. Experience working with or familiarity with HP Lighthouse (or similar HP tools like HP Operations Manager, HP IMC). Strong knowledge of firewalls (Cisco, Palo Alto, Fortinet), IDS/IPS, VPNs, and network segmentation. Understanding of cloud platforms (AWS, Azure, GCP) and hybrid network security. Familiarity with regulatory compliance frameworks (e.g., PCI-DSS, HIPAA, ISO 27001). Strong analytical and troubleshooting skills. Excellent communication and documentation abilities. Preferred Qualifications Certifications : CCNP Security, CISSP, CISM, or AlgoSec Certified Professional. Experience with SIEM tools (e.g., Splunk, QRadar). Scripting knowledge on Python (ref:hirist.tech) Show more Show less

Job Description : Data Engineer Location : Bengaluru Experience : 3 - 5 years About The Role We are seeking a highly skilled Lead Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering technologies especially SQL, Databricks, Azure services and client facing experience. Key Responsibilities Technical Expertise : Hands-on experience with SQL, Databricks, pyspark, Python, Azure Cloud, and Power BI. Design, develop, and optimize pyspark workloads. Ability to write scalable, modular and reusable code in SQL, python and pyspark. Ability to communicate clearly with client stakeholders and ability to collaborate with cross-functional teams. Requirement gathering and ability to translate business requirements into technical specifications. Stakeholder Management Engage with stakeholders to gather and analyze requirements. Provide regular updates and reports on project status and progress. Ensure alignment of data solutions with business objectives. Shift Requirements Ability to work during US shift hours to coordinate with global teams. Qualifications Proficiency in SQL, Databricks, PySpark, Python, Azure Cloud and Power BI. Strong communication skills, both written and verbal. Proven ability to work effectively with global stakeholders. Strong problem-solving skills and attention to detail. (ref:hirist.tech) Show more Show less

About Akira AKIRA is a bootstrapped Data & Analytics Services company driven by technology excellence, consultative practices and focus on building technology agnostic customer solutions helping organizations realize business value through data. We have grown over 3 times in the past 2 years across business, headcount and number of clients we serve once we started focusing on growing up. AKIRA is a growth engine, where we provide great opportunities to all our team members to extract as much learning and satisfaction for the work they deliver. We will double ourselves in the coming 6-9 months and want to be a great place to work. Job Title : AI/ML Engineer (Data Scientist) Location : Bangalore Job Description We are an innovative technology company committed to driving business transformation through AI and Machine Learning solutions. We specialize in solving complex business challenges by leveraging cutting-edge AI/ML technologies, delivering scalable, reliable, and maintainable solutions for our clients. We are looking for a skilled AI/ML Engineer to join our dynamic team and play a crucial role in building production-grade AI/ML pipelines and solutions. Responsibilities As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI and ML models to address complex business challenges. You will collaborate with cross-functional teams, including Data Engineers and Data Scientists, to build scalable, production-grade AI/ML pipelines. Your work will ensure the deployed models are reliable, maintainable, and optimized for performance in real-world : Design, Develop, and Deploy AI/ML Models : Address complex business challenges through AI and ML solutions, ensuring production-grade deployments Build Scalable AI/ML Pipelines : Work on data preprocessing, feature engineering, model training, validation, deployment, and ongoing monitoring of AI/ML models Collaboration with Cross-functional Teams : Collaborate with Data Engineers, Data Scientists, and other stakeholders to implement end-to-end AI/ML solutions Optimize AI/ML Models in Production : Ensure that deployed models are reliable, scalable, and continuously optimized for high performance in production environments Develop APIs and Microservices : Build APIs or microservices to integrate AI/ML models into business solutions, making them usable across different platforms Implement MLOps Practices : Optimize workflows using CI/CD pipelines, automated retraining of models, version control, and monitoring Apply State-of-the-art AI/ML Techniques : Utilize deep learning, NLP, computer vision, and time-series analysis to develop innovative solutions Ensure Ethical AI Practices : Adhere to data privacy, security, and ethical AI standards throughout the entire lifecycle of AI/ML models Stay Up-to-date with Industry Trends : Continuously explore and implement the latest AI/ML techniques, tools, and best practices Assist in Documentation & Best Practices : Help create and maintain standards, workflows, and documentation for data technology and AI/ML projects Required Skills & Qualifications Strong Expertise in AI/ML Frameworks : Proficiency with TensorFlow, PyTorch, or Scikit-learn for building and deploying models Proficiency in Programming Languages : Strong command of Python or R, including libraries/tools for data science and machine learning Experience with Cloud-based AI/ML Services : Hands-on experience with Microsoft Azure and Databricks MLOps Experience : Expertise in implementing automated pipelines, model versioning, monitoring, and lifecycle management Domain-Specific AI Expertise : Deep knowledge in NLP, computer vision, predictive analytics, or other specialized AI techniques Excellent Problem-Solving Skills : Ability to identify and address technical challenges with innovative and efficient solutions Effective Communication Skills : Strong ability to convey complex technical concepts to both technical and non-technical audiences Attention to Detail : Ability to handle and execute highly specialized projects with a focus on quality Desired Skills & Qualifications Familiarity with Distributed Computing : Knowledge of Apache Spark and scalable training techniques for large datasets Experience with GenAI : Hands-on experience in developing enterprise-level Gen AI applications and models for business use cases Knowledge of Data Privacy & Security Standards : Understanding of ethical AI principles and ensuring compliance with relevant privacy and security standards Interpersonal Skills : Excellent collaboration and relationship-building skills with colleagues, stakeholders, and external partners (ref:hirist.tech) Show more Show less

Job Title : Sr Analyst Power BI Experience : 3+ Years Location : Bengaluru Job Description We are seeking a skilled Power BI Developer with 3+ years of experience to join our team. The ideal candidate will develop and manage BI solutions, create insightful data visualizations, and enable business stakeholders to make data-driven decisions. Key Responsibilities Develop, publish, and schedule Power BI reports and dashboards. Collaborate with business stakeholders to gather requirements and deliver data insights. Optimize existing Power BI reports and troubleshoot performance issues. Integrate Power BI with various data sources. Key Requirements 3+ years of experience with Power BI and related tools. Proficiency in DAX, Power Query, and SQL. Strong understanding of data modeling and report optimization. Experience working with large datasets and integrating multiple data sources. Excellent analytical and communication skills. About Akira Insights Akira Insights is a boutique pure-play Data & Analytics consulting firm providing services to multinational corporations, large enterprises, and Fortune 500s across various sectors, helping businesses unlock valuable insights from their data. What We Offer Competitive salary and performance-based incentives Opportunities for professional growth and development (ref:hirist.tech) Show more Show less

Job Description : Data Engineer Location : Bengaluru Experience : 3 - 5 years About The Role We are seeking a highly skilled Lead Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering technologies especially SQL, Databricks, Azure services and client facing experience. Key Responsibilities Technical Expertise : Hands-on experience with SQL, Databricks, pyspark, Python, Azure Cloud, and Power BI. Design, develop, and optimize pyspark workloads. Ability to write scalable, modular and reusable code in SQL, python and pyspark. Ability to communicate clearly with client stakeholders and ability to collaborate with cross-functional teams. Requirement gathering and ability to translate business requirements into technical specifications. Stakeholder Management Engage with stakeholders to gather and analyze requirements. Provide regular updates and reports on project status and progress. Ensure alignment of data solutions with business objectives. Shift Requirements Ability to work during US shift hours to coordinate with global teams. Qualifications Proficiency in SQL, Databricks, PySpark, Python, Azure Cloud and Power BI. Strong communication skills, both written and verbal. Proven ability to work effectively with global stakeholders. Strong problem-solving skills and attention to detail. (ref:hirist.tech) Show more Show less

About Akira AKIRA is a bootstrapped Data & Analytics Services company driven by technology excellence, consultative practices and focus on building technology agnostic customer solutions helping organizations realize business value through data. We have grown over 3 times in the past 2 years across business, headcount and number of clients we serve once we started focusing on growing up. AKIRA is a growth engine, where we provide great opportunities to all our team members to extract as much learning and satisfaction for the work they deliver. We will double ourselves in the coming 6-9 months and want to be a great place to work. Job Title : AI/ML Engineer (Data Scientist) Location : Bangalore Job Description We are an innovative technology company committed to driving business transformation through AI and Machine Learning solutions. We specialize in solving complex business challenges by leveraging cutting-edge AI/ML technologies, delivering scalable, reliable, and maintainable solutions for our clients. We are looking for a skilled AI/ML Engineer to join our dynamic team and play a crucial role in building production-grade AI/ML pipelines and solutions. Responsibilities As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI and ML models to address complex business challenges. You will collaborate with cross-functional teams, including Data Engineers and Data Scientists, to build scalable, production-grade AI/ML pipelines. Your work will ensure the deployed models are reliable, maintainable, and optimized for performance in real-world : Design, Develop, and Deploy AI/ML Models : Address complex business challenges through AI and ML solutions, ensuring production-grade deployments Build Scalable AI/ML Pipelines : Work on data preprocessing, feature engineering, model training, validation, deployment, and ongoing monitoring of AI/ML models Collaboration with Cross-functional Teams : Collaborate with Data Engineers, Data Scientists, and other stakeholders to implement end-to-end AI/ML solutions Optimize AI/ML Models in Production : Ensure that deployed models are reliable, scalable, and continuously optimized for high performance in production environments Develop APIs and Microservices : Build APIs or microservices to integrate AI/ML models into business solutions, making them usable across different platforms Implement MLOps Practices : Optimize workflows using CI/CD pipelines, automated retraining of models, version control, and monitoring Apply State-of-the-art AI/ML Techniques : Utilize deep learning, NLP, computer vision, and time-series analysis to develop innovative solutions Ensure Ethical AI Practices : Adhere to data privacy, security, and ethical AI standards throughout the entire lifecycle of AI/ML models Stay Up-to-date with Industry Trends : Continuously explore and implement the latest AI/ML techniques, tools, and best practices Assist in Documentation & Best Practices : Help create and maintain standards, workflows, and documentation for data technology and AI/ML projects Required Skills & Qualifications Strong Expertise in AI/ML Frameworks : Proficiency with TensorFlow, PyTorch, or Scikit-learn for building and deploying models Proficiency in Programming Languages : Strong command of Python or R, including libraries/tools for data science and machine learning Experience with Cloud-based AI/ML Services : Hands-on experience with Microsoft Azure and Databricks MLOps Experience : Expertise in implementing automated pipelines, model versioning, monitoring, and lifecycle management Domain-Specific AI Expertise : Deep knowledge in NLP, computer vision, predictive analytics, or other specialized AI techniques Excellent Problem-Solving Skills : Ability to identify and address technical challenges with innovative and efficient solutions Effective Communication Skills : Strong ability to convey complex technical concepts to both technical and non-technical audiences Attention to Detail : Ability to handle and execute highly specialized projects with a focus on quality Desired Skills & Qualifications Familiarity with Distributed Computing : Knowledge of Apache Spark and scalable training techniques for large datasets Experience with GenAI : Hands-on experience in developing enterprise-level Gen AI applications and models for business use cases Knowledge of Data Privacy & Security Standards : Understanding of ethical AI principles and ensuring compliance with relevant privacy and security standards Interpersonal Skills : Excellent collaboration and relationship-building skills with colleagues, stakeholders, and external partners (ref:hirist.tech) Show more Show less