Chief Marketing Officer (CMO)

Responsibilities:

• Design, implement, and maintain scalable and reliable database solutions on the AWS platform.
• Architect, deploy, and optimize DynamoDB databases for performance, scalability, and cost-efficiency.
• Configure and manage AWS OpenSearch (formerly Amazon Elasticsearch Service) clusters for real-time search and analytics capabilities.
• Design and implement data processing and analytics solutions using AWS EMR (Elastic MapReduce) for large-scale data processing tasks.
• Collaborate with cross-functional teams to gather requirements, design database solutions, and implement best practices.
• Perform performance tuning, monitoring, and troubleshooting of database systems to ensure high availability and performance.
• Develop and maintain documentation, including architecture diagrams, configurations, and operational procedures.
• Stay current with the latest AWS services, database technologies, and industry trends to provide recommendations for continuous improvement.
• Participate in the evaluation and selection of new technologies, tools, and frameworks to enhance database capabilities.
• Provide guidance and mentorship to junior team members, fostering knowledge sharing and skill development.

Requirements:

• Bachelor’s degree in computer science, Information Technology, or related field.
• Proven experience as an AWS Architect or similar role, with a focus on database technologies.
• Hands-on experience designing, implementing, and optimizing DynamoDB databases in production environments.
• In-depth knowledge of AWS OpenSearch (Elasticsearch) and experience configuring and managing clusters for search and analytics use cases.
• Proficiency in working with AWS EMR (Elastic MapReduce) for big data processing and analytics.
• Strong understanding of database concepts, data modelling, indexing, and query optimization.
• Experience with AWS services such as S3, EC2, RDS, Redshift, Lambda, and CloudFormation.
• Excellent problem-solving skills and the ability to troubleshoot complex database issues.
• Solid understanding of cloud security best practices and experience implementing security controls in AWS environments.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Database - Specialty, or equivalent certifications are a plus.

Job Description:

• Managing the software Product life cycle from strategic planning to tactical activities.
• Translate software product strategy into detailed requirements and prototypes
• Participate in daily scrum meetings, planning, reviews, and retrospectives
• Write requirements typically as user stories and Mockups
• Ensure products and releases are launched correctly and on schedule
• Assess and address technical risks and define success criteria for testing and product acceptance
• Creation and maintenance of proper product documentation to gain a deep understanding of customer experience, identify and fill product gaps
• Analyzing potential partner relationships for the product.
• Collaborate with the tech team to create strategies by which technology will be developed or adapted to meet market needs
• Act as liaison between Sales, Client Services, Marketing Support, and Technology teams to support customer demand as part of new product development.

Skills and Experience:

• 4+ years of experience as a Software Product Manager managing all aspects of a successful product throughout its lifecycle
• Good knowledge of SDLC and Ability to drive the creation and modification of key documents across Zessta
• Moderately technical with the ability to communicate effectively with engineers to understand product issues and drive the team toward resolution.
• Subject matter expert on Competitive analysis and technical challenges
• Strong knowledge of web development platforms, databases, and infrastructure.
• Proven problem-solving capabilities with the ability to think outside of the box strongly desired.
• Working knowledge of Agile Scrum methodology.
• Work well under pressure and be able to prioritize to meet deadlines and quickly shift priorities as necessary.
• Understand best practices and stay informed about the competition.
• Have experience working on hierarchies (Customer, Product, Developers, UI/UX). Work on data unification and standardization.
• Project management skills to understand project plans

Come and join us to be part of a company that focuses on new technologies, follows international industry standards, and builds large enterprise-level software.

Roles & Responsibilities:

• Providing timely and effective technical support to customers via various channels such as phone, email, chat, or in-person.
• Address customer inquiries, concerns, and issues regarding products or services.
• Guide customers through troubleshooting steps to diagnose and resolve technical problems.
• Analyze customer issues to determine root causes and provide effective solutions.
• Escalate complex technical issues to higher-level support or development teams when necessary, ensuring timely resolution.
• Develop a deep understanding of the company's products or services to effectively assist customers.
• Stay updated on product updates, features, and enhancements to provide accurate information to customers.
• Communicate technical information to customers in a clear and understandable manner, avoiding technical language when not necessary.
• Provide regular updates to customers regarding the status of their technical issues and expected resolution times.
• Ensure that customer inquiries and issues are handled with high quality and professionalism.
• Collaborate with cross-functional teams such as sales, product development, and quality assurance to communicate customer feedback and improve products and services.
• Assist in training new team members on product knowledge and support processes.
• Stay updated on industry trends, technologies, and best practices related to technical support.

Requirements

• Job Location: Jaipur, Rajasthan
• Experience: Fresher

REQUIREMENTS: ● 1-2 years in outbound focused sales position desired; customer-oriented background required (sales, support, customer service) in B2B preferably ● Bachelor’s degree in business, marketing, or related field ● Excellent communication and interpersonal skills ● The ability to generate leads independently. ● Willingness to learn and apply the fundamentals of the MEDDIC Sales process approach ● Great to have-Artificial Intelligence, Machine Learning and/or Computer Vision ● Knowledge of the AI industry and emerging technologies

KEY RESPONSIBILITIES: ● Prospecting: As a SDR you will be responsible for identifying and qualifying high potential customers via cold calling, networking, e-mail, as well as utilizing Internet information sources to build and maintain a lead development pipeline. ● Lead Nurturing: You will follow up with qualified leads and build a relationship with them, answering their questions and providing helpful information to move them closer to a buying decision. ● Sales Enablement: You will work closely with the sales team to understand their needs and help them be more effective in closing deals. This can involve creating sales collateral, providing market insights, and organizing training sessions. ● Data Management: You’ll be responsible for keeping accurate and up-to-date records of all their activities and interactions with potential customers. This data is used to inform the sales process and improve overall performance. ● Pipeline Management: You will be managing the pipeline of leads and ensuring that it is always full of high-quality prospects.

Job Description: Principal Engineer (Full Stack Architect)

Job Title: Full Stack Architect

Location: Hyderabad, India

Experience: 15Years to 20 years (4+ years in Enterprise Architecture)

Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.

Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning

Job Summary

As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.

This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.

Roles and Responsibilities

Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.

Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.

Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.

Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.

Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.

Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.

Mentorship: Mentor junior engineers and foster a collaborative team environment.

Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.

Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.

Mandatory Requirements

Experience: 12+ years of full-stack development experience, with significant expertise

in building and architecting applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

 Distributed Systems: Proven track record of architecting and implementing large-scale

distributed systems with a focus on reliability, scalability, and performance.

 Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),

with a deep understanding of cloud services such as compute, storage, networking, and

security.

 Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like

Neo4j. Experience with vector databases for high-dimensional data processing.

 Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs

for solving complex data relationships.

 Data Structures & Algorithms: Strong knowledge of DSA with practical experience in

solving complex technical challenges.

 Microservices Architecture: Experience in designing and developing microservices-based

architectures and ensuring high availability.

 DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).

 Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.

Nice-to-Have Requirements

 Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).

 Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.

 Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).

 AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.

 Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.

 System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.

 Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).

Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.

We at BlackPapers Sarthies (P) Ltd. Have an opening for Sales Executive (Business Growth Consultant) at our Delhi Office Located , at (office -404/402, C- 25 Bartwals, Guru Nanak Pura, Laxmi Nagar, Delhi-110092.)

We provide Business Management Consultancy Services related to Compliance, Management and Fundings to NGOs and Business like 12A, 80G, project reports, FCRA etc. (for more visit to our website www.blackpapers.in).

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Job Description

We are looking for a passionate Sales Executive (Business Growth Consultant) to join our sales team and a passion for sales. The sales Executive's Responsibilities include generating leads, making sales calls, continuously updating our CRM database, and meeting sales targets. To be successful as a sales executive you should be an inspired self-starter and able to drive sales growth. Ultimately, a top- notch sales executive should be able to build reports with customers and close sales.

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Roles and Responsibilities -

1.Setting up sales team and Developing sales strategies.

Researching prospects and Generating leads.

2.Contacting potential and Existing customers on the phone, by email, and in person.

3. Handling Customer queries, and complaints.

4. Preparing and sending quotes and proposals.

5.Managing the sales process through specific software programs.

6. Building and Maintaining a CRM database.

7. Daily Meeting, weekly, and Monthly Sales targets. And diligently working towards achieving the sales target.

8. Participating in sales team meetings.

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Qualifications

1. Any Bachelor's Degree /Post Graduation(preferred).

2.Freshers And Experienced both preferred.

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Other Skills

1.Objection and Rejection Handling.

2.Build and maintain strong and long-lasting customer relationships.

3.Provide after-sales support and resolve customer issues.

4. Knowledge of Compliances( preferable).

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.