• At least 10 of prior experience in Presales with minimum 13+ years of total experience
• Very good understanding of end-to-end RFP/RFx response processes
• Good hands-on experience with creation of BoQ, infrastructure requirements, cloud deployment strategies etc.
• Ability and acumen to do primary & secondary market research and present detailed analysis to a wide audience.
• Should have basic know how of the AI/ML Data Science, Gen-AI, Big Data Campaigns, Loyalty Gamification works etc.
• Should have a fair understanding of the CVM and Customer Engagement applications Targeting over Social/OTT Channels, Campaign on Digital Channels, Loyalty and Gamification, Data Management, AI/ML
• Should have good understanding of Cloud and Cloud Native Technologies
• Should be willing to travel on short notice.
• Must have excellent spoken and written English communication skills.
• Should have a basic understanding of Product Design, Development & Marketing processes.
• Good working knowledge on MS Word, MS Power point and MS Excel
• Demonstrated ability of collaborating with a wider team sitting remotely
• Conduct technical workshops with prospects and customers.
• Self-Starter with ability to handle multiple tasks.
• Act as consultant for internal and external stakeholders guiding them on what are the market needs and how should their product roadmaps be aligned.
• Take end to end ownership from solution pitching, demo, and technical bid defense.

Job Responsibilities:

• Complete Responsibility & Accountability of RFP/RFx Analysis and Response preparation
• Supporting Sales Organization to mature the business opportunities
• Technical Solution Proposal writing and various artefacts preparation in co- ordination with Engineering teams.
• Cross functional team co-ordination for bid response
• Product and Solution Presentations to Internal stakeholders and Customers
• Understand and articulate Product features.
• Product Demonstrations to Customers

Key skills required:

• Can do attitude.
• Very good communication skills
• Team player
• Self-motivated
• Positive outlook towards everything
• Punctual
• Accountability

• At least 10 of prior experience in Presales with minimum 13+ years of total experience
• Should be experienced on end-to-end sales and distribution process for Telco, FMCG or any other industry
• Hands on experience and knowledge on stock and inventory management, dealer/partner distribution and channel sales processes
• Working knowledge of demand planning and forecasting

Solution Design and Proposal Development

• Very good exposure to end-to-end RPF/RPx processes
• Understand customer requirements and design tailored software solutions to address their needs.
• Collaborate with product and technical teams to draft detailed proposals, including technical architecture, workflows, and solution benefits.
• Create custom demonstrations, prototypes, or proof-of-concepts to showcase product capabilities.

Customer Engagement and Consultation

• Act as a technical consultant during customer meetings, presentations, and workshops.
• Address customer concerns, provide insights, and highlight the software’s value proposition.
• Build trust and establish relationships with key stakeholders on the client side.
• Should be available for travel as and when needed for customer engagements on short notice.

Collaboration with Sales and Engineering Teams

• Partner with sales teams to identify client needs and align presales activities with business goals.
• Provide feedback to engineering regarding customer demands, competitive intelligence, and feature requests.
• Support sales by offering strategic advice during deal negotiation and closing phases.

Technical Presentations and Training

• Deliver compelling technical presentations and demos tailored to various audiences (executives, technical teams, etc.).
• Train internal sales teams on product features, technical aspects, and best practices for engaging customers.
• Develop reusable presentation materials and assets for the presales process.
• Good hands-on experience with creation of BoQ, infrastructure requirements, cloud deployment strategies etc.
• Knowledge of cloud technologies (AWS, Azure, GCP)

Market and Technology Research

• Stay updated on industry trends, competitive products, and emerging technologies.
• Recommend innovative approaches and solutions to enhance presales effectiveness.
• Evaluate competitor offerings and ensure the proposed solutions highlight differentiation.

Job Responsibilities:

• Complete Responsibility & Accountability of RFP/RFx Analysis and Response preparation
• Supporting Sales Organization to mature the business opportunities
• Technical Solution Proposal writing and various artefacts preparation in co- ordination with Engineering teams.
• Cross functional team co-ordination for bid response
• Product and Solution Presentations to Internal stakeholders and Customers
• Understand and articulate Product features.
• Product Demonstrations to Customers

Key skills required:

• Can do attitude.
• Very good communication skills
• Team player
• Self-motivated
• Positive outlook towards everything
• Punctual
• Accountability

We are looking for an experienced Data Scientist with 4-8 years of expertise across diverse industries suchas telecommunications, finance, and retail. This role involves leveraging machine learning (ML), deeplearning (DL), and natural language processing (NLP) to drive impactful business solutions. A strong
background in data science, combined with hands-on experience in both technical implementationandbusiness impact projects, is essential. Candidates with telecommunications experience will be preferred

Key Responsibilities:

1. Data Science and Machine Learning:

Develop and deploy ML/DL models to address complex business challenges such as
predictive analytics, customer segmentation, and personalization. o Implement algorithms using frameworks such as TensorFlow, PyTorch, Scikit-learn, andXGBoost for classification, regression, and forecasting tasks.

2. Natural Language Processing (NLP) and Generative AI:

Design and deploy advanced NLP solutions, including document Q&A systems andAI- driven chatbots. o Leverage state-of-the-art frameworks like LangChain, Hugging Face, and LlamaIndex tofine-tune transformer-based LLMs for text generation, summarization, and informationretrieval.

3. Data Engineering and Visualization:

Build robust pipelines using Python and PySpark to preprocess and analyze large datasetsefficiently.
Create visually compelling dashboards and tools using Power BI and Streamlit to communicate insights effectively to stakeholders.

4. Cloud Platforms and Deployment:

Utilize cloud services such as AWS (SageMaker, Kinesis), Azure, or GCP to build scalableand secure data pipelines and deploy ML models. o Work with containerization and orchestration tools like Docker and Kubernetes for scalable deployments.

5. Collaboration and Impact:

Collaborate with cross-functional teams to understand business needs and translatetheminto data-driven solutions. o Present findings and recommendations to both technical and non-technical audiences toinfluence decision-making.

Required Qualifications:

Experience:
4-8 years of experience in data science roles with exposure to diverse industries such as telecommunications, finance, or retail. Telecommunications experience is a strong plus. o Demonstrated success in both technical implementation (building models, pipelines) andachieving measurable business impact (increased revenue, improved efficiency).

Technical Skills:
Programming: Advanced proficiency in Python, SQL, and PySpark for data manipulationand model development. o Machine Learning: Expertise in ML/DL frameworks, including TensorFlow, PyTorch, XGBoost, and Scikit-learn. o NLP and GenAI: Experience with LangChain, Hugging Face, LlamaIndex, and transformer- based LLMs for NLP applications.  Visualization and

Tools:
Proficiency in creating dynamic visualizations using Power BI and Streamlit. o Experience with version control systems (Git) and ML lifecycle tools (MLflow).

Cloud Platforms:
Strong familiarity with AWS (SageMaker, Kinesis), Azure, or Google Cloud for end-to-endmachine learning workflows.

Specialized Skills:
Advanced NLP capabilities, particularly in building document Q&A systems and conversational AI solutions. Preferred Attributes: Problem-solving mindset with a focus on delivering measurable business value.

Strong communication and collaboration skills to work effectively with stakeholders and cross functional teams.

A proactive attitude towards learning and applying emerging technologies in AI and machine learning. Scope of Growth with 6d:
This role is growth oriented. Once initial flair is demonstrated as successful project(s), you will leada  team and will be responsible for cutting edge work on creating new modelsto solve problems. You will also need to coach and guide a team on machine learning technologies, frameworks and languages.

1. MySQL 8.0 Architecture & Design
2. MySQL NDB Cluster ( Mandatory ) & MySQL Replication
3. Troubleshoot and resolve production database issues.
4. Work closely with Engineering and DBA Team to design and implement optimal solutions
5. Understanding of MySQL’s underlying storage Clusters, such as InnoDB and NDB Clusters .
6. Experience with MySQL Backup tools and Monitoring tools;