Data Engineer - ML

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

• Design and develop data pipelines:

  Create efficient data pipelines to collect, process, and store large volumes of data from various sources.

• Implement data solutions:

  Develop and implement scalable data solutions using technologies like Hadoop, Spark, and SQL databases.

• Ensure data quality:

  Monitor and improve data quality by implementing validation processes and error handling.

• Collaborate with teams:

  Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.

• Optimize performance:

  Continuously optimize data systems for performance, scalability, and cost-effectiveness.
• Experience in GenAI project

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

Why join Genpact?

Be a transformation leader

Make an impact

Accelerate your career

Work with the best

Thrive in a values-driven culture

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

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.