Job Description: ServiceNow GRC/ IRM
Requirement:
- Design and Implementation: Develop, configure, and implement modules within the ServiceNow IRM application to support risk management processes, including Risk Management, Policy Management, Compliance Management, and Audit Management.
- Customization and Integration: Customize ServiceNow solutions to meet business requirements, including the creation of forms, workflows, and reports. Integrate ServiceNow with other applications and platforms to enhance risk visibility and reporting.
- Scripting and Development: Utilize JavaScript, ServiceNow APIs, and other programming tools to develop functionalities, including business rules, client scripts, and orchestrations.
- Process Improvement: Analyse current risk management processes and recommend solutions for improvement to enhance efficiency and effectiveness.
- User Support and Training: Provide ongoing support to users of the IRM module, troubleshoot issues, and conduct training sessions to promote best practices.
- Documentation: Create and maintain comprehensive documentation for designs, configurations, and customizations to ensure knowledge sharing and compliance.
- Testing and Quality Assurance: Conduct testing of solutions prior to implementation, ensuring reliability and performance, and assist in validating changes with user acceptance testing.
Required Qualifications
Strong knowledge of risk management frameworks and compliance standards (e.g., NIST,
ISO 27001).
Certifications – CIS IRM/GRC Certified
Minimum 3 to 5 years of experience working on ServiceNow GRC or IRM Module as a
developer
Good Now Platform knowledge
Ability to understand the pain points related to Risk, Policy and Audit Management along
with Third Party Risk Management to provide solutions in ServiceNow
Mainline Certifications optional : CIS – Risk & Compliance and
CIS - Third Party Risk Management

About Apical Mind
About
Apical Mind LLP Founded in April 2019, provides recruitment services to employer for the ease of perfect selection of candidates in any part of India and abroad. We have our presence in India and Dubai. Candidate selection process is assured by IT experts who worked for IT giants. The Company believes long-term relationship with clients and candidates for better leads and future.
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Job Details
- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science
- Industry: Technology
- Domain - Information technology (IT)
- Experience Required: 7-9 years
- Employment Type: Full Time
- Job Location: Bangalore
- CTC Range: Best in Industry
Job Description:
Role Proficiency:
Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.
Additional Comments:
Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science
Experience 8 to 10 Years
Location Bengaluru
Job Description
Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed
Education Qualification: Graduate
Skills: AI, NLP, Python, Data science
Must-Haves
Skills
AI, NLP, Python, Data science
NP: Immediate – 30 Days
Strong Senior Data Scientist (AI/ML/GenAI) Profile
Mandatory (Experience 1) – Must have a minimum of 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
Mandatory (Experience 2) – Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Mandatory (Experience 3) – Must have 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
Mandatory (Experience 4) – Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows
mandatory (Note): Budget for upto 5 yoe is 25Lacs, Upto 7 years is 35 lacs and upto 12 years is 45 lacs, Also client can pay max 30-40% based on candidature

Office/Delivery Support Staff
• Required: High School Diploma or any Bachelor's Degree
• Experience: 2-3 years
Frontend Developer (ReactJS)
About Company
Egregore Labs (www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.
Opportunity
We are looking for an experienced Frontend engineer with ReactJS development experience to join our team.
We will share our workload as a team and we expect you to work on a broad range of tasks.
Here’s are some of the things you might have to do on any given day:
Implement responsive and performant UIs with user centered approach with frontend technologies including ReactJS, Javascript(ES 6), Typescript, SCSS, etc
Write meaningful test cases for frontend &
Integrate our products with 3rd party products/tools/services
Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc
Ideal Background / Experience
At least 3 yrs of diverse experience in web development for product or services oriented environment with exposure to working production deployments
Expertise in programming using Python/ReactJS or similar scripting languages
In-depth exposure to technologies used in web-based SaaS products, including REST APIs
Sound understanding of Postgres and NoSQL databases such as MongoDB
Nice to have exposure to any of
AWS
Azure
ELK
Object Relational Models (SQLAlchemy, etc)
Google APIs
Microservices Architecture Pattern
NodeJS / ExpressJS
Must Have: ReactJS, Javascript, HTML5, CSS3, Databases (SQL & NoSQL)
Work From Home
Package: upto 10L
What is expected from you :
● Strong Consultative selling skills including excellent relationship building, networking
and time management skills
● Excellent Conflict Resolution and Negotiation skills
● Strong Team Player
● Excellent in Business communications and email etiquette
● Exposure to LinkedIn and other Job portals
● Ability to generate B2B leads
● Experience in Lead Research and Prospecting
● Experience in cold calling, email campaigns, and using social media to generate leads.
● Knowledge of Recruitment
● Data Maintenance and organization skills
● MBA qualification or Experience in Business development is preferred
What will you be doing?
● Handle end-to-end B2B business Development, right from prospecting to closing
deals
● Acquire new clients through networking, direct contact, or from marketing campaigns
● Establish long-term engagement with clients with multiple products
● Build and nurture client relationships via various channels
● Coordinating with multiple internal stakeholders on a daily basis
● Cross-selling and Upselling to existing clients into other GUVI services
● Develop and implement marketing plans designed to maintain and increase existing
business and capture new opportunities
1. Work on lead generation via joining the Twitter community, Telegram groups, LinkedIn, and other professional and social media networks
2. Manage a pipeline, generate new leads, identify and contact decision-makers, screen potential business opportunities
3. Manage recurring prospects while engaging with new clients, educating, and optimizing for value and brand awareness
4. Generate leads and build relationships by nurturing warm prospects and finding new potential sales outlets
5. Handle inbound requests generated via the sales and marketing team
6. Identify best practices to refine the company's lead generation playbook
7. Partner with other teams to provide market intelligence that enables better decision-making in strategic areas like product development, product improvement, and market strategies among other things
8. Utilize CRM, and multiple communication channels, to generate new sales opportunities
9. Build long-term trusting relationships with prospects to qualify leads as sales opportunities
10. Seek out new business opportunities and thrive in the startup ecosystem
11. Report to the assigned manager with weekly, monthly, and quarterly results
12. Persuade, lead, and confidently handle objections and resolve customer issues
13. Showcase ownership of the clientele/leads assigned
• Hands on programming work in C#, .Net, SQL, .net MVC (optional)
• Good to have experience on Microsoft Windows platform
• Ability to independently work on complex business requirements
• Ability to communicate clearly and concisel
- 10 – 18 years of experience selling a SaaS solution, ideally selling B2B Enterprise Solutions.
- A classic enterprise solution seller with hands-on experience in technology.
- A strong passion for overachieving enterprise sales numbers in a hunting profile.
- Ability to recruit and build a team of Sales representatives and mentor them.
- Initially would be an Individual contributor and will build the team steadily.
- Having a sterling career so far already in achieving sales targets and wants to look at fast growth in a sales career and therefore being totally performance-driven.
- On-the-foot thinker and ability to build long-lasting professional relationships.
- You are interested in selling technology related to AI, SAAS solutions, and/or predictive analytics.
- Would be an Individual contributor but aiming to become a Sales Leader.
- Would already have working relationships across enterprise leaders in HR / IT / PMO teams
- Hunter - appetite for opening and closing new accounts.
- Track record of outstanding sales performance including exceeding quotas, winning sales awards, etc.
- Experience managing complex sales cycles.
- Driven, self-motivated, proactive, and excited about being at a start-up
- Thrives in a fast-paced, high-growth, rapidly changing environment.
- Partner with Customer Success to onboard the right customers and drive adoption/engagement in the first year.
- Strong executive presence.
- Experience selling to HR and TA leads would be an added advantage.
- Experience selling to the IT and ITES/BPO sector will be an added advantage.
- Experience selling HR tech solutions will be an added advantage.








