ML Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

HoonarTek

3 - 5 years

Mumbai

Posted:10 hours ago

Job Description

Mumbai

About Us

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Requirement

Job Title: MLOps Engineer

Location

Hybrid / Remote / Onsite

Experience

3–5 Years (Minimum 3–5 years who is hands on in Databricks, MLFlow and MLOps with minimum 3 years of experience.)

Employment Type

Full-Time

Job Summary

We are seeking an experienced MLOps Engineer to build, deploy, monitor, and optimize Machine Learning models in production environments. The ideal candidate will bridge the gap between Data Science and DevOps by designing scalable ML pipelines, automating model deployment, ensuring governance, and improving the reliability and performance of AI/ML solutions.

Skills Required

Data Integration Data Analytics Data Visualization Data Engineering AB Initio BIG Data Business Intelligence Agile Machine Learning Data Science Devops Ai/ml

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Job Type

Full Time

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ML Engineer