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AIML Engineer @ Genpact

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 AIML Engineer

Job Description

Description - External

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of AIML Engineer!
In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers.
Responsibilities
Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products
Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers
Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services
Build and implement machine learning models and prototype solutions for proof-of-concept
Scale existing ML models into production on a variety of cloud platforms
Analyze and resolve architectural problems, working closely with engineering, data science and operations teams

Qualifications we seek in you!
Minimum Qualifications / Skills
Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field
Masters degree is a plus
Integration APIs, micro-services and ETL/ELT patterns
DevOps (Good to have) Ansible, Jenkins, ELK
Containerization Docker, Kubernetes etc
Orchestration Airflow, Step Functions, Ctrl M etc
Languages and scripting: Python, Scala Java etc
Cloud Services - AWS, GCP, Azure and Cloud Native
Analytics and ML tooling Sagemaker, ML Studio
Execution Paradigm low latency/Streaming, batch
Preferred Qualifications/ Skills
Data platforms Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)
Visualization Tools - PowerBI, Tableau

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Genpact
Location(s): Kolkata

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Keyskills:   NLP Data Pipeline Aiml ML model Machine Learning LLMs ML research Artificial Intelligence AIML Engineer Python Ml

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Genpact

Genpact (NYSE: G) is a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes primarily for Global Fortune 500 companies. We think...