We are hiring talented and creative Feature engineer for AIML platform team based in Chennai, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. You will have a chance to work on end-to-end Feature building & Machine Learning life cycle.
Job Description
Essential Responsibilities
- Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
- Advises immediate management on project-level issues
- Guides junior engineers
- Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
- Applies knowledge of technical best practices in making decisions
Minimum Qualifications
- Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience.
Preferred Qualification
Qualifications
- Minimum of 5 years of relevant experience in key technologies mention below.
- Goodtrack recordof over-achieving engineering and platform delivery and scaling targets in highvolume, innovativeand fast-paced high-pressure environment; proven results in delivery on platform products.
- Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technicalexpertisein one or more of the above-mentioned areas or equivalent practical experience.
- Strongproficiencyin SQL, Hadoop, Spark, Google cloud platform (Big Query, Google cloud storage & Data proc), and Data Engineering techniques, with hands-on experience in developing and deploying large scale Feature data marts/store.
- Expertisein anyone/ more programming languages such as Python, Go, Java, andproficiencyin machine learning techniques.
- Experience working inlarge scale Feature engineering infrastructure orMLOpsplatforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS.
- Experience with Jupyter Notebook, Kubeflow, Airflow, Uc4 Scheduling, Argo, GPU and HPC
- Stayup to datewith the latest advancements in AI/ML technology and industrytrends andleverage this knowledge to enhance the platforms capabilities.
- Experience with cloud platforms (e.g., AWS, Azure,GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
- Demonstrated Strong leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.
