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Hybrid Georgia - Atlanta NY, NJ, Chicago, Boston and Houston areas. Inviting applications for the role of
Senior Principal Consultant, 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 Master’s degree is a plus Integration – APIs, micro-services and ETL/ELT patterns DevOps (Good to have) – Ansible, Jenkins, ELK 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.) Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together The approximate annual base compensation range for this position is $65,000 to $70,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity 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. 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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Wünschenswerte Fähigkeiten
- AWS
- Deep Learning
- ETL
- Java
- Machine Learning
- Microservices
- Python
- Scala
Berufserfahrung
- Backend
- Data Engineer
- Machine Learning
Sprachkenntnisse
- English
Hinweis für Nutzer
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