Job Description: Data Scientist Location : Remote / Bangalore Employment Type : Full-time Department : Data Science & Analytics Industry : IT Services & Consulting Role Category : Data Science, Machine Learning, AI Role & Responsibilities : As a Data Scientist , you will play a key role in leveraging data to drive business insights, predictions, and automation. Your core responsibilities will include: Data Analysis & Exploration : Perform exploratory data analysis (EDA) to understand the data, identify trends, correlations, and key features to inform business decisions. Model Development : Design, develop, and implement machine learning models to solve business problems, including regression, classification, and clustering algorithms. Data Preprocessing : Clean, preprocess, and transform raw data into usable formats for analysis, including handling missing data, outliers, and scaling features. Model Evaluation & Optimization : Evaluate the performance of models using appropriate metrics, and fine-tune algorithms to optimize results and ensure robustness. Statistical Analysis : Apply statistical methods to interpret data, validate hypotheses, and make data-driven decisions. Data Visualization : Create insightful visualizations to communicate findings to stakeholders, using tools like Matplotlib , Seaborn , or Tableau . Collaboration & Reporting : Work closely with business teams, engineers, and other stakeholders to implement data-driven solutions and ensure alignment with business goals. Research & Innovation : Stay up-to-date with the latest advancements in data science, machine learning, and AI, and apply these innovations to real-world challenges. Desired Candidate Profile : Experience : 1–2 years of experience in Data Science , Machine Learning , or related roles, with a focus on building, deploying, and optimizing machine learning models. Technical Skills : Strong programming skills in Python or R , with experience in libraries such as Pandas , NumPy , Scikit-learn , TensorFlow , or PyTorch . Experience with machine learning algorithms (e.g., linear regression, decision trees, SVM, KNN, random forests, neural networks). Proficiency in data visualization tools like Matplotlib , Seaborn , Tableau , or Power BI to communicate findings effectively. Strong knowledge of SQL and experience in querying large datasets. Familiarity with cloud platforms like AWS , Azure , or GCP for scalable data science solutions. Understanding of deep learning , NLP (Natural Language Processing), or computer vision is a plus. Familiarity with big data technologies like Hadoop , Spark , or Databricks is a bonus. Education : B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, Data Science, Statistics, Mathematics, or a related field. Key Skills : Data Science Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Data Preprocessing Data Visualization : Matplotlib, Seaborn, Tableau, Power BI Programming : Python, R Machine Learning Frameworks : Scikit-learn, TensorFlow, PyTorch Big Data : Hadoop, Spark, Databricks SQL Statistical Analysis Cloud Platforms : AWS, Azure, GCP Model Evaluation & Optimization Business Intelligence Notice Period : Immediate to 30 days preferred . #DataScience #MachineLearning #AI #DataScientist #NLP #DeepLearning #ML #Python #R #BigData #CloudComputing #DataVisualization #DataAnalytics #StatisticalAnalysis #TensorFlow #PyTorch #SQL #BusinessIntelligence #TechJobs #RemoteJobs #BangaloreJobs #AIandML #DataScienceCareers #ITServices #DataDriven
Job Description: Cybersecurity Engineer Location : Remote / Bangalore Employment Type : Full-time Department : Security & Risk Management Industry : IT Services & Consulting Role Category : Cybersecurity, Information Security, Threat Management Role & Responsibilities : As a Cybersecurity Engineer , you will play a critical role in safeguarding our systems, applications, and data against cyber threats. Your core responsibilities will include: Threat Detection & Prevention : Implement security measures to proactively identify and mitigate security vulnerabilities and threats across systems, applications, and networks. Incident Response : Respond to security incidents and breaches, conducting thorough investigations and implementing recovery and containment strategies. Security Monitoring : Set up and maintain security monitoring tools (e.g., SIEM , IDS/IPS ) to detect and analyze security events in real-time. Vulnerability Assessment & Penetration Testing : Conduct vulnerability assessments and penetration testing to identify weaknesses in systems and recommend remediation actions. Security Architecture & Design : Assist in designing and implementing secure architecture for IT infrastructure, ensuring compliance with industry standards and security best practices. Policy & Compliance : Develop and enforce security policies, procedures, and guidelines to ensure regulatory compliance (e.g., GDPR, HIPAA, PCI-DSS). Security Awareness Training : Provide training and guidance to teams on best practices for data protection, secure coding, and general security hygiene. Collaboration & Reporting : Collaborate with IT, DevOps, and development teams to ensure security is embedded throughout the software development lifecycle and infrastructure operations. Desired Candidate Profile : Experience : 1–2 years of experience in Cybersecurity , Information Security , or related roles, with a focus on threat detection , incident response , and vulnerability management . Technical Skills : Experience with security monitoring tools like SIEM (e.g., Splunk, ELK Stack) and IDS/IPS (e.g., Snort, Suricata). Familiarity with network security protocols, firewalls, VPNs, and endpoint protection solutions. Knowledge of vulnerability assessment tools (e.g., Nessus, OpenVAS) and experience in performing penetration testing . Understanding of encryption , identity & access management (IAM) , and multi-factor authentication (MFA). Proficiency in network protocols and familiarity with secure network design. Familiarity with cloud security frameworks and best practices (e.g., AWS, Azure, GCP). Experience with incident management and forensics tools. Knowledge of security frameworks and standards (e.g., NIST , CIS , ISO 27001 , OWASP ). Education : B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, Information Security, or a related field. Key Skills : Cybersecurity Threat Detection & Prevention Incident Response Vulnerability Assessment & Penetration Testing SIEM Tools : Splunk, ELK Stack IDS/IPS : Snort, Suricata Network Security Encryption IAM & MFA Security Frameworks : NIST, OWASP, ISO 27001, CIS Cloud Security : AWS, Azure, GCP Security Architecture & Design Security Compliance : GDPR, HIPAA, PCI-DSS Penetration Testing Tools : Nessus, OpenVAS Incident Management Forensics Tools Security Awareness Training Notice Period : Immediate to 30 days preferred . #CyberSecurity #InfoSec #SecurityEngineer #ThreatDetection #IncidentResponse #PenTesting #VulnerabilityManagement #SIEM #NetworkSecurity #IAM #MFA #CloudSecurity #AWS #Azure #GCP #NIST #ISO27001 #OWASP #Splunk #SecurityCompliance #IncidentManagement #SecurityFrameworks #TechJobs #RemoteJobs #BangaloreJobs #ITSecurity #DevSecOps #SecurityBestPractices
Job Description: DevOps Engineer Location : Remote / Bangalore Employment Type : Full-time Department : DevOps & Infrastructure Industry : IT Services & Consulting Role Category : DevOps, Cloud Infrastructure, Automation Role & Responsibilities : As a DevOps Engineer , you will be responsible for ensuring smooth collaboration between development and operations teams, managing infrastructure, automating processes, and maintaining the stability of production systems. Your core responsibilities include: CI/CD Pipeline Management : Design, implement, and maintain continuous integration and continuous deployment (CI/CD) pipelines to ensure smooth and automated delivery of applications across multiple environments. Infrastructure as Code (IaC) : Automate infrastructure provisioning and management using IaC tools (e.g., Terraform, CloudFormation) to ensure scalable, repeatable, and secure infrastructure. Cloud Infrastructure Management : Manage and optimize cloud infrastructure on platforms like AWS , Azure , or GCP , ensuring high availability, scalability, and cost efficiency. Monitoring & Logging : Implement effective monitoring and logging systems to track the health of applications, servers, and infrastructure. Work with tools like Prometheus , Grafana , ELK Stack , or similar. Automation & Scripting : Automate repetitive tasks and improve workflows using scripting languages such as Bash , Python , or Shell Scripting . Security Best Practices : Implement and enforce security best practices for infrastructure, CI/CD pipelines, and application deployments. Collaboration & Support : Work closely with development, QA, and operations teams to ensure fast feedback loops, system reliability, and optimal performance. Desired Candidate Profile : Experience : 1–2 years of experience in DevOps roles, with a focus on CI/CD , cloud infrastructure, automation, and system monitoring. Technical Skills : Strong knowledge of cloud platforms like AWS , Azure , or Google Cloud Platform (GCP) . Proficiency in Infrastructure as Code (IaC) using tools like Terraform , CloudFormation , or Ansible . Experience with containerization technologies such as Docker , Kubernetes , and container orchestration. Hands-on experience with CI/CD tools like Jenkins , GitLab CI , CircleCI , or Travis CI . Familiarity with configuration management tools such as Chef , Puppet , or SaltStack . Proficiency in monitoring and logging tools like Prometheus , Grafana , ELK Stack , or similar. Experience with scripting languages (e.g., Python , Bash , Shell Scripting ). Education : B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, Information Technology, or a related field. Key Skills : Cloud Platforms : AWS, Azure, GCP CI/CD Pipeline Management Infrastructure as Code (IaC) Docker & Kubernetes CI/CD Tools : Jenkins, GitLab CI, CircleCI, Travis CI Automation Tools : Terraform, CloudFormation, Ansible Monitoring & Logging : Prometheus, Grafana, ELK Stack Scripting : Python, Bash, Shell Security Best Practices Cloud Security Version Control (Git) Collaboration Linux/Unix Systems Notice Period : Immediate to 30 days preferred . #DevOps #Cloud #AWS #Azure #GCP #CI/CD #Terraform #Kubernetes #Docker #Automation #InfrastructureAsCode #Monitoring #Logging #Security #DevOpsEngineer #ITJobs #BackendInfrastructure #AutomationTools #InfrastructureManagement #TechJobs #RemoteJobs #BangaloreJobs #Linux #Git #Python #DevOpsInIT #ITConsulting