Qureos Mentor

IndiGo (InterGlobe Aviation Ltd)

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 Position Title:
 
 Sr. Manager Sales
 
 
 
 Role Overview
 
 
 
 The role is responsible for leading and executing strategic sales initiatives to drive revenue growth, expand market share, and strengthen relationships with key stakeholders. This role involves managing the sales team, developing new business opportunities, and collaborating across departments to ensure alignment with organizational goals.
 
 
 
 Key Responsibilities
 
 
 
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 Sales Strategy &amp; Planning
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 Develop and execute sales strategies to achieve revenue, market expansion, and customer acquisition goals.
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 Conduct competitor benchmarking to refine pricing, promotions, and service offerings.
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 Utilize customer insights to enhance product offerings and improve customer experience.
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 Monitor market trends, economic shifts, and regulatory changes to proactively adapt strategies.
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 Team Leadership &amp; Development
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 Lead and motivate the sales team to meet individual and collective targets.
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 Conduct regular performance reviews and identify training needs.
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 Foster a culture of collaboration, innovation, and excellence.
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 Client Relationship Management
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 Build and maintain strong relationships with travel agencies and trade bodies.
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 Business Development
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 Identify and pursue new business opportunities, including partnerships with airlines, hotels, and travel companies.
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 Represent the airline at industry events to enhance brand visibility and secure new deals.
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 Financial Oversight
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 Collaborate with revenue management to align sales strategies with pricing and yield objectives.
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 Monitor and report on sales performance to senior management.
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 Cross-Functional Collaboration
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 Work closely with airport operations, marketing, customer service, and other departments to ensure consistent customer experiences.
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 Provide input on marketing campaigns, promotions, and loyalty programs.
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 Compliance &amp; Reporting
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 Ensure all sales activities adhere to industry regulations and company policies.
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 Present regular reports, forecasts, and market analyses to senior leadership.
 
 
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 Qualifications
 
 
 
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 Education: Bachelor&rsquo;s degree required; MBA or Master&rsquo;s in Sales &amp; Marketing preferred.
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 Experience: 7&ndash;10 years in sales management, preferably in the airline, travel, or hospitality industry.
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 Skills:
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 Leadership and team management
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 Strategic thinking and analytical ability
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 Strong interpersonal and negotiation skills
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 Excellent communication and presentation
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 Proficiency in Microsoft Office, Power BI, and Salesforce
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 Flexibility: Willingness to travel frequently and work flexible hours.
 
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 At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers.
 
 
 Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their &ndash; but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status.
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Senior Manager - Sales

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 Job Summary
 
 
 
 We are seeking a Data Science Engineer with 3&ndash;5 years of experience in designing, developing, and deploying AI/ML solutions. The ideal candidate will have strong programming skills, hands-on experience in model development and training, and the ability to build scalable data and ML pipelines for production environments.
 
 
 You&rsquo;ll work closely with data scientists, software engineers, and product teams to develop machine learning models, train and fine-tune AI systems, and integrate them into real-world applications.
 
 
 
 Key Responsibilities
 
 
 
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 Design, develop, and deploy AI/ML models for real-world use cases (e.g., predictive analytics, NLP, computer vision, recommendation systems).
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 Perform data collection, preprocessing, feature engineering, and model training using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
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 Build and maintain end-to-end ML pipelines &mdash; from data ingestion and model training to deployment and monitoring.
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 Collaborate with engineering teams to integrate trained models into applications via APIs, microservices, or other serving mechanisms.
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 Implement model evaluation, validation, and tuning for optimal accuracy, precision, and robustness.
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 Deploy and manage models in production environments using MLOps practices (CI/CD, version control, model monitoring, retraining).
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 Optimize performance of models and systems for speed, scalability, and cost-efficiency.
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 Work with cloud-based AI/ML platforms (AWS Sagemaker, GCP Vertex AI, or Azure ML) for training and deployment.
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 Document experiments, results, and best practices for reproducibility and knowledge sharing.
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 Stay current with emerging trends and tools in AI/ML and apply them to improve existing processes.
 
 
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 Required Skills And Qualifications
 
 
 
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 3&ndash;5 years of experience as a Data Science Engineer / ML Engineer / AI Developer.
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 Proven hands-on experience building and training ML/DL models end-to-end (data prep &rarr; model development &rarr; deployment).
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 Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn.
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 Experience with data manipulation tools (Pandas, NumPy) and data visualization (Matplotlib, Seaborn, Plotly).
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 Solid understanding of machine learning algorithms (classification, regression, clustering, NLP, CV).
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 Experience with MLOps tools (MLflow, DVC, Kubeflow, or Airflow for ML pipelines).
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 Experience deploying models using REST APIs, Docker, Kubernetes, or cloud ML services.
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 Good knowledge of SQL and NoSQL databases and data warehousing concepts.
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 Exposure to big data frameworks (e.g., Spark, Hadoop) is a plus.
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 Strong problem-solving and analytical thinking skills.
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 Excellent communication skills &mdash; ability to explain technical results to business stakeholders.
 
 
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 Preferred Qualifications
 
 
 
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 Hands-on experience with Deep Learning architectures (CNNs, RNNs, Transformers).
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 Experience working on NLP or Computer Vision projects.
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 Knowledge of feature stores, model registries, and continuous model monitoring.
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 Familiarity with Git, CI/CD pipelines, and cloud infrastructure (AWS/GCP/Azure).
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 Degree in Computer Science, Data Science, AI/ML, or related quantitative field.
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Data Scientist

Join IndiGo (InterGlobe Aviation Ltd) and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

IndiGo (InterGlobe Aviation Ltd)

ABOUT_COMPANY

Senior Manager - Sales

Data Scientist