Fullstack Developer

Job Title : Data Scientist – NLP & LLM

Experience Required : 4 to 5+ Years

Location : Gurugram

Notice Period : Immediate Joiner Preferred

Employment Type : Full-Time

Job Summary :

We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.

Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python

Key Responsibilities :

• Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
• Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
• Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
• Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
• Perform data preprocessing, feature extraction, and training pipeline development.
• Evaluate model performance and iterate with scalable solutions.
• Collaborate with engineering and product teams to integrate models into production.

Required Skills :

• 4 to 5+ years of hands-on experience in Data Science and NLP.
• Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
• Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
• Familiarity with prompt engineering and fine-tuning LLMs is a plus.
• Excellent problem-solving and communication skills.

We are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.

In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).

You will collaborate closely with AI use case teams to develop:

• Scalable data pipelines
• Reusable data products
• Foundational data infrastructure

Your work will support advanced AI solutions such as:

• GenAI
• RAG (Retrieval-Augmented Generation)
• Document Intelligence

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines for AI workloads
• Build and optimize data pipelines for structured & unstructured data
• Enable context processing & vector store integrations
• Support streaming data workflows and batch processing
• Ensure adherence to enterprise data models, governance, and security standards
• Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
• Contribute to data lifecycle management for AI platforms

Required Skills

• 5–7 years of hands-on experience in Data Engineering
• Strong expertise in Python and advanced SQL
• Experience with GCP and/or Azure cloud-native data services
• Hands-on experience with PySpark / Spark SQL
• Experience building data pipelines for ML/AI workloads
• Understanding of CI/CD, Git, and Agile methodologies
• Knowledge of data quality, governance, and security practices
• Strong collaboration and stakeholder management skills

Nice-to-Have Skills

• Experience with Vector Databases / Vector Stores (for RAG pipelines)
• Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
• Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
• Experience with DBT (Data Build Tool)
• Knowledge of Infrastructure-as-Code (Terraform)
• Experience in multi-cloud deployments (Azure + GCP)
• Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations

Ideal Candidate Profile

• Strong data engineering foundation with AI/ML exposure
• Experience working in multi-cloud environments
• Ability to build production-grade, scalable data systems
• Comfortable working in cross-functional, fast-paced environments

What are we looking for?

• Strong interpersonal, communication, and persuasion skills.
• Interest in sales and client management within a fast-paced setup.
• Strong problem-solving skills to address and resolve client concerns.
• Ability to multitask and handle multiple client accounts effectively.
• Minimum 1 Year of experience in telecalling, client success, or B2B servicing roles
• Based in Bangalore 

What will you be doing?

• Manage a portfolio of Travel Agents and ensure consistent engagement.
• Drive re-application cycles by tracking demand patterns, renewal triggers, and client usage behaviour.
• Build and execute retention strategies for high-value & high-frequency clients.
• Lead resurrection initiatives to revive inactive or low-engagement accounts.
• Maintain dashboards, performance trackers, and portfolio analytics.
• Collaborate with operations and business teams to ensure seamless service delivery.
• Resolve escalations and strengthen long-term client relationships.

Job Title : Product Manager (Tech-to-PM | Ground-Up Product) 

Location : Bangalore, India (On-site)

Type: Full-time

Company Overview -.About the Company You will join BIGAIRLAB (https://www.bigairlab.com/)(part of a group of companies) at a critical pilot-to-scale phase of our product journey. We are a lean, high-growth technology & AI venture, building enterprise and consumer-facing AI products across India, UAE, and the US.

 As we move from prototype to scalable product, we are looking for a hands-on Product Manager who was a developer until recently and transitioned into Product Management in the last 1–2 years. This role requires strong technical depth, the ability to think like an engineer, and the mindset of a product owner who can drive clarity, execution, and rapid iteration.

Key Responsibilities

 • Own and drive the end-to-end product lifecycle: ideation, requirements, MVP definition, development, launch, iteration, and scale.

 • Define product vision, roadmap, and priorities in close partnership with founders and key stakeholders.

 • Translate business and customer needs into clear product requirements, user stories, acceptance criteria, and backlog prioritization.

 • Work deeply with engineering teams (frontend, backend, QA, AI/ML, and UI/UX) to ensure feasibility, quality, and timely delivery.

 • Leverage your prior developer experience to review technical approaches, understand architecture trade-offs, APIs, data flows, and performance constraints.

• Act as the bridge between business and engineering—ensuring clarity, speed, and alignment, especially during the pilot phase.

 • Define, track, and improve product metrics and KPIs (usage, adoption, performance, user feedback, reliability).

 • Drive agile execution: sprint planning, reviews, backlog grooming, and release planning.

• Collaborate with stakeholders across business, operations, sales, and customer teams to manage expectations and ensure alignment.

 • Support go-to-market activities including documentation, release notes, and early customer feedback loops.

Required Qualifications & Skills

• Bachelor’s degree in Computer Science / Engineering or equivalent technical discipline.

• Strong prior experience as a software developer, with a transition into a Product Manager role within the last 1–2 years.

• Hands-on understanding of both frontend and backend systems:

     ◦ Frontend: modern web frameworks, UX considerations, performance tradeoffs.

     ◦ Backend: APIs, databases, system architecture, integrations, scalability.

• Ability to comfortably deep-dive with engineers and challenge or validate technical decisions.

• Working knowledge of AI/ML-driven products, data pipelines, or LLM-based systems is a strong plus.

• Experience working in startup or early-stage environments, preferably on products built from the ground up.

• Strong analytical and problem-solving skills; data-driven approach to decisionmaking.

• Excellent communication skills—able to articulate technical concepts to nontechnical stakeholders.

• Comfortable with ambiguity, rapid change, and wearing multiple hats.

 Desirable / Nice-to-Have

• Exposure to SaaS, enterprise B2B, or AI-first products.

• Experience working with or building products for India and/or Middle East (UAE) markets.

• MBA or formal product management training is a plus (but not mandatory).

 Ideal Candidate Profile

• A former engineer turned Product Manager, still close to the code and deeply technical.

• Someone who enjoys building from zero to one, not just optimizing mature products.

• Comfortable switching between strategy and execution, vision and detail.

• Collaborative, decisive, and ownership-driven.

• Motivated by impact, learning, and growth rather than rigid role boundaries.

What We Offer

• Opportunity to play a foundational role in shaping a core product and company direction.

• High ownership, visibility, and direct collaboration with founders.

• Exposure to global markets (India, UAE, US).

• Competitive compensation with base + performance bonus + equity/ESOPs. • Fast-paced environment with real responsibility and rapid learning.  

• Experience in Business analytics, well versed with sales/marketing analytical tools.
• Experience in business consulting is a plus.
• Proven experience in sales, client communication, negotiation, marketing, data analysis, and project management.
• Good in Business Development, Marketing Operations, Sales, Product Management, Competitive Analysis, Market Research.  
• Experience in project management is a plus.                                          

• Regular at maintaining a timesheet.                             
• Will need to develop proficiency in Hubspot, Asana, Google Documents.
• Proficient in Analytical tools (Power BI, Tableau, etc).    
• Proficient in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.), Google docs.           
• Excellent business communication and writing skills.                     
• Excellent at web research and educating one-self about different topics.
• High aptitude in managerial skills.
• Ability to handle the intense workload, pace, and training timelines.     

• Identifying and addressing operational, financial, and technological risks within the business.
• Maintaining, testing, and improving business and systems operations.
• Building and maintaining relationships with key stakeholders.
• Identifying and capitalizing on improvement opportunities.
• Identifying innovative ways to increase customer satisfaction.
• Evaluating the performance of project teams to ensure that targets and deadlines are met.

• Communicating ideas and viewpoints to senior management.
• Acting as a liaison between business and IT groups.
• Supervising the design of new products and evaluating how these will perform on the market.
• Creating monthly performance reports.        

• Maintain a timesheet regularly.                    
• Be proficient in MS office.                     
• Develop proficiency in Hubspot, Asana, Google Documents.     
• Have excellent Email Communication Skills.                     
• Have excellent at web research and education one-self about different topics.
• Have high Aptitude and Strong Analytical Skills.
• Be good in Competitive Analysis & Online Research.                 
• To handle the intense workload, pace and training timelines.     
• Have strong written, verbal and collaboration skills.
• Have fluency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.), Google docs, Data Entry.

Responsibilities:

• Respond to customer queries and customers concern
• Provide support for data collection to enable Recovery of the account for end user.
• Maintain a deep understanding of client process and policies
• Reproduce customer issues and escalate product bugs
• Provide excellent customer service to our customers
• You should be responsible to exhibit capacity for critical thinking and analysis.
• Responsible to showcase proven work ethic, with the ability to work well both independently and within the context of a larger collaborative environment

Requirements:

• Graduate (Any Discipline)
• Previous experience in a customer service role chat/email/voice
• Effective probing skills and analyzing / understanding skills
• Analytical skills with customer centric approach
• Excellent proficiency with written English and with neutral English accent
• Excellent English - Verbal & Written (Highly Professional English)
• Excellent Excel Capabilities as we need to submit monthly SLA reports to clients. (Should be an expert)