Job Description
Curious about the role? What your typical day would look like?
We're looking for a talented and driven GenAIOps Engineer to join a meaningful internal strategic initiative and ssto contribute to solving complex AI/ML problems for our clients. You'll be working closely with senior leadership, including one of our founders, to
help build an innovative enterprise platform for the organization. This platform will act as a digital twin of our existing systemsan intelligent bot/ Platform that provides real-time insights on what needs to be done and how to do it.
If you're passionate about Generative AI, LLMs, ML Ops and cutting-edge technology, and you enjoy building high-impact solutions, we'd love to hear from you! As an GenAIOps Engineer , you will:
- Collaborate with leadership to understand the vision, scope, and requirements for the enterprise platform, ensuring alignment with strategic business goals.
- Lead/ mentor a team of data scientists and engineers to embed AI and analytics into the business decision processes.
- Architect and design a smart, AI-driven platform that provides real-time intelligence to guide and optimize projects.
- Leverage cutting-edge technologies like LLMs (Large Language Models) and Generative AI to build transformative, innovative tools.
- Oversee the integration of the platform with existing organizational systems, ensuring seamless, scalable, and secure solutions
- Drive the development of scalable, reliable, and high-performance software architectures.
- Conducting peer reviews, setting standards for code quality and best practices across teams
What do we expect?
- Overall 5-9 years of experience with relevant experience in MLE/MLOps/AI Engg.
- Experience in leading a team as well as handling customer stakeholders
- Proven expertise in working with LLMs, Generative AI, or similar AI technologies.
- Strong proficiency in backend development using Python frameworks (such as Django/Flask) or other similar technologies.
- In-depth understanding of APIs, microservices architecture, and cloud-based deployment strategies.
- Good knowledge of Data science approaches, machine learning algorithms and statistical methods.
- ETL and Data Engineering pipelines using Spark/PySpark.
- Workflow orchestration tools like Airflow.
- Ability to drive collaboration across cross-functional teams and lead projects in a dynamic, fast-paced environment.
- Experience in mentoring and guiding teams, fostering collaboration across cross-functional groups.
- Passion for innovation, with the ability to stay updated with emerging technologies and apply them to solve complex challenges.
You are important to us, lets stay connected!
Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.
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: Tiger Analytics
Location(s): Hyderabad
Keyskills:
Generative AI
MLE
LLM
MLOps
AI Engg