Business Development Executive

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

The candidate will be responsible for recruiting and managing insurance agents, activating them for business, and generating Motor & General Insurance sales through the agency channel.

This is a field-based role along with agent recruitment

Qualification - Semi Qualified CS

• Experience 1 to 2 years
• Must Have Experience - Worked in CS firm and having all ROC work Experience
• Shift timing 10am to 6:30pm
• Week off Sunday fixed + 4th Saturday off

Job Description:

• Online Applications for FASSAI License, PAN & TAN, Import Export Code, Shop Establishment license, MSME Registration, professional tax Registration, Startup Registration.
• Preparation and drafting of various resolutions, minutes, explanatory statements, notice, agenda and supplementary papers for consideration of board.
• Increasing the Authorized Share Capital of the company, making alterations of Memorandum & Articles of companies, Increasing Paid up Share Capital of company by making Right Issue, Private Placement, Bonus issue.
• Appointment and Resignation of Directors, Key Managerial Personnel and Auditors.
• Registration, Modification & Satisfaction of Charges and their filing with the Registrar of companies.

Data Engineer 

Mandatory Requirements  

• Experience in AWS Glue 

• Experience in Apache Parquet  
• Proficient in AWS S3 and data lake  
• Knowledge of Snowflake 
• Understanding of file-based ingestion best practices. 
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS  
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies  
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform  

• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations  
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data. 
• Define process improvement opportunities to optimize data collection, insights and displays. 
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible  
• Identify and interpret trends and patterns from complex data sets  

• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.  
• Key participant in regular Scrum ceremonies with the agile teams   
• Proficient at developing queries, writing reports and presenting findings  
• Mentor junior members and bring best industry practices  

QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)  
• Strong background in math, statistics, computer science, data science or related discipline 
• Advanced knowledge one of language: Java, Scala, Python, C#  
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake   

• Proficient with 
• Data mining/programming tools (e.g. SAS, SQL, R, Python) 
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum) 
• Data visualization (e.g. Tableau, Looker, MicroStrategy) 
• Comfortable learning about and deploying new technologies and tools.  

• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.  
• Good written and oral communication skills and ability to present results to non-technical audiences  
• Knowledge of business intelligence and analytical tools, technologies and techniques. 

Familiarity and experience in the following is a plus:  

• AWS certification 
• Spark Streaming  
• Kafka Streaming / Kafka Connect  
• ELK Stack  
• Cassandra / MongoDB  

• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools 

End - End Digital marketing Industry experience are mandatory.

Job Summary:

We are seeking an experienced and passionate Digital Marketing Trainer to join our team and train students/professionals in digital marketing concepts and tools. The ideal candidate will have hands-on experience in digital marketing and a strong ability to communicate, mentor, and inspire learners.

Key Responsibilities:

• Deliver engaging and practical training sessions on digital marketing topics such as:
• SEO (Search Engine Optimization)
• SEM (Search Engine Marketing) / Google Ads
• Social Media Marketing (SMM)
• Email Marketing
• Web Analytics (Google Analytics, etc.)
• Content Marketing
• Affiliate and Influencer Marketing
• Develop training materials, including presentations, handouts, and assessments.
• Provide mentorship and career guidance to learners.
• Stay updated with the latest digital marketing trends and tools.
• Conduct workshops, live projects, and case study discussions.
• Evaluate student performance and provide feedback.

Required Skills & Qualifications:

• Bachelor’s degree in Marketing, Communications, or a related field.
• 2+ years of hands-on experience in digital marketing.
• Strong knowledge of tools like Google Ads, Google Analytics, Facebook Ads Manager, SEMrush, HubSpot, Mailchimp, etc.
• Prior teaching/training experience is a plus.
• Excellent communication and presentation skills.
• Ability to simplify complex topics and engage learners.

Preferred Certifications (Optional but a Plus):

• Google Ads Certification
• HubSpot Inbound Marketing Certification
• Facebook Blueprint Certification
• Digital Marketing Institute (DMI) or equivalent

Job Title: Sales Development Manager - Corporate Gifting

Position Overview:

As a Sales Development Manager in the Corporate Gifting industry, you will be responsible for driving revenue growth through the development and execution of strategic sales initiatives. The ideal candidate will have a strong background in sales, a proven track record in the corporate gifting sector, and the ability to lead and motivate a sales team.

Key Responsibilities:

Sales Strategy and Planning:

·      Develop and implement a comprehensive sales strategy to achieve revenue targets and market share growth.

·      Analyze market trends, competitor activity, and customer behavior to identify new business opportunities.

·      Collaborate with the leadership team to set sales goals and objectives.

Team Leadership:

·      Lead and inspire a high-performing sales team.

·      Provide coaching, training, and mentorship to team members to enhance their sales skills and product knowledge.

·      Set clear performance expectations and regularly assess team performance against targets.

Corporate Gifting Expertise:

·      Leverage your expertise in the corporate gifting field to understand client needs and propose innovative gifting solutions.

·      Stay informed about industry trends, emerging technologies, and best practices in corporate gifting.

Client Relationship Management:

·      Cultivate and maintain strong relationships with key clients and prospects.

·      Collaborate with the marketing team to develop and execute effective client engagement strategies.

Sales Process Optimization:

·      Streamline and optimize the sales process to improve efficiency and effectiveness.

·      Implement and manage CRM tools to track and analyze sales performance metrics.

Collaboration:

·      Work closely with cross-functional teams, including marketing, operations, and customer service, to ensure seamless execution of sales initiatives.

·      Collaborate with product development teams to align offerings with market demand.

Qualifications:

·      Bachelor's degree in Business, Marketing, or a related field.

·      Proven experience in sales, with a focus on corporate gifting.

·      Demonstrated success in leading and managing high-performing sales teams.

·      Strong understanding of the corporate gifting market and industry trends.

·      Excellent communication, negotiation, and interpersonal skills.

·      Ability to think strategically and execute tactically.

·      Proficiency in CRM tools and sales analytics.

We at Arcana(arcana.network) are looking for someone well versed with applied math and cryptography to help design our protocol and allied systems.

Specifically, we are looking for knowledge in a significant subset of the following:

1. Verifiable Delay Function(VDF) implementation
2. Distributed key generation(DKG) and management(DKMS)
3. Encryption schemes
4. Game theoretical (dis)incentivisation on a decentralized network
5. Distributed Random Number generation
6. End to End Encryption schemes
7. Zero Knowledge proofs
8. Verifiable computation

Academics and part time consultants also welcome to apply.