Key Responsbilitiies : Develop, deploy, and maintain robust machine learning models for real-world business applications. Leverage classical ML algorithms such as regression, classification, bagging, boosting, etc., to address complex business challenges. Build and automate end-to-end ML pipelines using MLOps best practices. Manipulate and analyze large datasets using PySpark and SQL, ensuring data quality and performance optimization. Conduct statistical analyses and derive actionable insights to support decision-making. Collaborate closely with product managers, data engineers, and stakeholders to align ML solutions with business objectives. Present analytical findings clearly and concisely to both technical and non-technical audiences. Design intuitive dashboards and visualizations to track model outcomes and key metrics. Required Skills: Deep understanding of Machine Learning algorithms and Statistical Modeling techniques. Strong programming skills in Python (including pandas, NumPy, scikit-learn, etc.). Proficiency in PySpark SQL for distributed data processing. Advanced expertise in SQL for querying and manipulating structured data. Experience with MLOps frameworks and automation of ML workflows. Proven track record in predictive modeling and classical ML use cases. Strong communication and presentation skills with the ability to translate technical output into business context. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly) or BI tools like Tableau/Power BI. Exposure to CI/CD practices and model monitoring tools.

Role & responsibilities: Work collaboratively with product and business teams to understand requirements Design and develop AI prototypes using LLMs such as Claude and GPT including AI Agents Implement solutions with frameworks like LangChain and other open-source tools Build end-to-end AI pipelines that integrate with existing systems Evaluate appropriate models and technologies for different use cases Document prototype architecture, performance, and learnings for handoff to product / engineering teams. Stay up to date with the latest AI research, libraries, and tools to enable experimentation. Required Qualifications: Bachelor's Degree in Computer Science, Engineering, or related technical field 3+ years of software development experience 1+ years of experience working with LLMs and AI frameworks Strong proficiency in Python and relevant AI/ML libraries Experience with LLM Orchestration frameworks (LangChain, LlamaIndex, etc.) Knowledge of prompt engineering techniques Understanding of vector databases and retrieval approaches Strong problem-solving skills and attention to detail Comfort with ambiguity and an iterative, fast-paced environment.

9 years of IT experiences with deep expertise in S3, Redshift, Aurora, Glue and Lambda services. Atleast one instance of proven experience in developing Data platform end to end using AWS Hands-on programming experience with Data Frames, Python, and unit testing the python as well as Glue code. Experience in orchestrating mechanisms like Airflow, Step functions etc. Experience working on AWS redshift is Mandatory. Must have experience writing stored procedures, understanding of Redshift data API and writing federated queries Experience in Redshift performance tunning.Good in communication and problem solving. Very good stakeholder communication and management

9 years of IT experiences with deep expertise in S3, Redshift, Aurora, Glue and Lambda services. Atleast one instance of proven experience in developing Data platform end to end using AWS Hands-on programming experience with Data Frames, Python, and unit testing the python as well as Glue code. Experience in orchestrating mechanisms like Airflow, Step functions etc. Experience working on AWS redshift is Mandatory. Must have experience writing stored procedures, understanding of Redshift data API and writing federated queries Experience in Redshift performance tunning.Good in communication and problem solving. Very good stakeholder communication and management Job Type: Full-time Pay: ₹3,500,000.00 - ₹4,000,000.00 per year Schedule: Day shift Work Location: In person Application Deadline: 20/06/2025 Expected Start Date: 20/06/2025

We are seeking an experienced AWS Architect with a strong background in designing and implementing cloud-native data platforms. The ideal candidate should possess deep expertise in AWS services such as S3, Redshift, Aurora, Glue, and Lambda, along with hands-on experience in data engineering and orchestration tools. Strong communication and stakeholder management skills are essential for this role. Key Responsibilities Design and implement end-to-end data platforms leveraging AWS services. Lead architecture discussions and ensure scalability, reliability, and cost-effectiveness. Develop and optimize solutions using Redshift, including stored procedures, federated queries, and Redshift Data API. Utilize AWS Glue and Lambda functions to build ETL/ELT pipelines. Write efficient Python code and data frame transformations, along with unit testing. Manage orchestration tools such as AWS Step Functions and Airflow. Perform Redshift performance tuning to ensure optimal query execution. Collaborate with stakeholders to understand requirements and communicate technical solutions clearly. Required Skills & Qualifications Minimum 9 years of IT experience with proven AWS expertise. Hands-on experience with AWS services: S3, Redshift, Aurora, Glue, and Lambda . Mandatory experience working with AWS Redshift , including stored procedures and performance tuning. Experience building end-to-end data platforms on AWS . Proficiency in Python , especially working with data frames and writing testable, production-grade code. Familiarity with orchestration tools like Airflow or AWS Step Functions . Excellent problem-solving skills and a collaborative mindset. Strong verbal and written communication and stakeholder management abilities. Nice to Have Experience with CI/CD for data pipelines. Knowledge of AWS Lake Formation and Data Governance practices.

Key Responsibilities: Develop and execute strategic sales plans to meet quarterly and annual targets Identify, qualify, and pursue new enterprise sales opportunities Deliver compelling product presentations and solution demos to potential clients Understand client security pain points and align appropriate solutions (MDR, SIEM, SOAR) Lead contract negotiations, pricing, and deal closures Build and maintain long-term relationships with key stakeholders and channel partners Stay current with evolving cybersecurity threats, tools, and market trends Collaborate with internal technical, product, and marketing teams to shape go-to-market strategy Required Skills & Experience: Bachelor's degree in Business, Computer Science, Information Security, or related field 5+ years of experience in cybersecurity solution sales or enterprise B2B technology sales Strong understanding of SIEM tools (e.g., Splunk, QRadar, Securonix), SOAR , and MDR offerings Excellent communication, presentation, and negotiation skills Proven ability to build strong client relationships and consistently close deals Self-motivated and results-driven with a strategic sales mindset Ability to work both independently and cross-functionally in fast-paced environments Preferred Skills: Experience with cybersecurity operations , threat detection, and incident response Familiarity with cloud security , SaaS-based platforms, or XDR/MDR tools Exposure to channel sales , partner engagement, and GTM planning Understanding of cybersecurity compliance standards (e.g., ISO 27001, SOC2, NIST)

Role Overview: We are seeking a dynamic and results-driven Cybersecurity Enterprise Sales professional to join our team. This role is focused on selling advanced cybersecurity solutions, including SIEM, SOAR, and Adaptive MDR offerings, to mid-to-large enterprises. The ideal candidate will have a strong foundation in cybersecurity operations, particularly SIEM engineering, and a proven track record in enterprise technology sales. Key Responsibilities : Develop and execute a strategic sales plan to meet and exceed quarterly and annual sales targets. Identify, qualify, and pursue new business opportunities in enterprise accounts. Conduct engaging product presentations and solution demonstrations to prospective clients. Understand customer security needs and map solutions accordingly, with a focus on SIEM, SOAR, and MDR. Lead contract negotiations and close deals. Build and maintain long-term relationships with key stakeholders and channel partners. Stay current on the latest cybersecurity trends and emerging technologies. Collaborate with internal technical and product teams to align solutions with customer needs. Required Qualifications: Bachelor's degree in Business, Computer Science, Information Security, or a related field. 4–8 years of experience in cybersecurity sales, with a focus on enterprise customers. Hands-on understanding of SIEM tools (e.g., Splunk, IBM QRadar, Securonix) and security operations workflows. Proven ability to meet or exceed sales targets in a complex, solution-oriented environment. Excellent communication, presentation, and negotiation skills. Self-starter with the ability to work independently and cross-functionally. Preferred Skills: Experience selling MDR, SIEM, SOAR, or AI-driven security solutions. Familiarity with SaaS security platforms and cloud security posture management. Background in threat detection, incident response, or SIEM engineering is a strong plus. Job Type: Full-time Schedule: Day shift Work Location: In person

Responsibilities: Assist in designing user interfaces that are visually appealing, user-friendly, and aligned with our brand. Collaborate with product managers, developers, and other team members to understand project requirements and contribute design ideas. Help create wireframes, prototypes, and mockups to communicate design concepts. Participate in user research and usability testing to gather feedback for design improvements. Support the team in maintaining and contributing to our design system. Stay up to date with UI/UX trends, tools, and best practices. Required Qualifications: Currently pursuing or recently completed a degree in Design, HCI, Computer Science, or a related field. Basic knowledge of UI/UX principles and design thinking. Familiarity with design tools such as Figma. A portfolio or sample work (academic or personal projects) demonstrating design skills. Strong communication and collaboration abilities. Attention to detail and willingness to learn. Preferred Qualifications: Basic understanding of front-end technologies (HTML/CSS) is a plus. Interest or experience in user research and usability testing. Awareness of accessibility standards (e.g., WCAG) and design system concepts. Job Type: Full-time Pay: ₹500,000.00 - ₹600,000.00 per year Schedule: Day shift Work Location: In person