Data Scientist [T500-19762]

ANSR

Hyderabad

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

A technology solutions provider is looking for a Mid-Senior level professional in Hyderabad to develop and implement machine learning applications. This role requires strong Python skills, experience with MLOps tools, and the ability to collaborate effectively to create impactful AI solutions. Join a team that drives technological innovation in a fast-paced environment.

Qualifications

  • 3+ years of experience in machine learning applications.
  • Experience with the Software Development Life Cycle (SDLC).
  • Ability to work well both in teams and independently.

Responsibilities

  • Collaborate to understand requirements and develop AI solutions.
  • Maintain and enhance existing services and applications.
  • Research and implement new AI technologies.

Skills

Proficiency in Python
Strong NLP knowledge
Experience with MLOps tools
Ability to explain technical concepts
Collaboration skills

Education

Bachelor's degree in Computer Science or related technical discipline
Master's degree in Computer Science or related technical discipline

Tools

Databricks
Kubernetes
Docker

Job description

Overview

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ANSR is hiring for one of its clients.

About the Company

American Airlines is transforming the way it delivers technology to its customers and team members worldwide. Its Tech Hub in Hyderabad, India, is home to team members who drive technical innovation and engineer digital products to best serve customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, the team in Hyderabad enables better support of the 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

Intro

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you. You’ll tackle challenges with flexibility and grace, learn new skills and advance your career while enjoying your time off. Feel free to enrich both your personal and work life and join us!

Why you will love this job

The Machine Learning domain encompasses the application of algorithms and models to enable computers to learn from data and make predictions or decisions. This domain includes subfields such as segmentation, propensity modeling, NLP, reinforcement learning, and working with foundation models for generative AI.

What you will do
  • Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop AI solutions that meet business needs
  • Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development
  • Troubleshoot and debug complex issues; identify and implement solutions
  • Create detailed project specifications, requirements, and estimates
  • Research and implement new AI technologies to enhance processes, security, and performance
  • Work closely with data scientists and product teams to build and deploy machine learning models, focusing on the technical aspects of model deployment
  • Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment
  • Monitor model performance and implement strategies for bias mitigation and explainability; ensure models are scalable and efficient in production
  • Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications
  • Partner with a diverse team to build scalable and impactful AI solutions
All you will need for success
Minimum Qualifications - Education & Experience
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments
  • 3+ years of professional, design, and open-source experience
Preferred Qualifications - Education & Experience
  • Master's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 3 years of SDLC experience designing, developing, and implementing large-scale machine learning applications
  • Airline Industry experience
Skills, Licenses & Certifications
  • Proficiency in Python; Databricks; Hibernate/Oracle; REST/SOAP; MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes); CI/CD tools (Git, Maven, Jenkins, Nexus)
  • Experience with governance for responsible AI, post-deployment model maintenance, observability, drift detection
  • Strong NLP knowledge (tokenization, embeddings, transformers, attention)
  • Vector databases (e.g., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG)
  • Data pipelines, ETL, distributed computing; Generative AI with LLMs (OpenAI GPT, Google Gemini, Llama)
  • Prompt Engineering; Microsoft Office; Agile (SCRUM); DevOps CI/CD
Language / Communication Skills / Physical Abilities
  • Ability to communicate effectively with all levels of the organization
  • Ability to explain technical concepts to non-technical audiences
  • Strong interpersonal, collaboration, and negotiation skills
  • Ability to work well in a team and independently
  • Physical ability to perform essential job functions with reasonable accommodations if needed; HR will engage in an interactive process if accommodation is required
Feel Free to be yourself at American

Are you ready to feel a tremendous sense of pride and satisfaction as you help keep the largest airline in the world running smoothly? Feel free to be yourself at American.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology and Engineering
  • Industries: Airlines and Aviation

Note: This description is a cleaned-up version of the original posting, preserving the essential responsibilities and qualifications for the role.

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