Job Description
Job Title: ML Ops
Location: Hyderabad (Hybrid, Remote)
Job Type: Full-time
Experience Level: 3-4 Years
Detailed Job Description:
We are seeking an ML Ops Engineer to operationalize and manage the lifecycle of machine learning models, especially those built using Azure and Databricks. You will be key in deploying, monitoring, and optimizing models across multiple business use cases.
Responsibilities:
Research, design, implement, and deploy Machine Learning algorithms for enterprise scale applications.
Deployed & optimized the runtime of Deep Learning Model on Azure Cloud.
Expose the Model endpoint using API gateway and monitor the performance continuously.
Engage with clients to translate business needs into technical requirements and Machine Learning solutions.
Contribute to the design and implementation of features for new and existing enterprise AI solution offerings.
Provide ongoing support and monitoring for solutions running in production.
Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.
Qualifications:
Education and Experience:
Bachelors or masters degree in computer science, Statistics, or a related field.
Years of proven experience as a ML Ops.
Technical Skills:
Strong proficiency in Python , DSA, and SQL.
Familiarity with ML model lifecycle including key considerations and relevant tools (MLFlow, Databricks ML, Kubeflow, etc.) for supporting and governing models at scale.
Developing & Deploying the Web API for Model Endpoint and API Integration across multiple services.
Strong expertise in connecting to Database like Postgres, SQL server, Azure Databricks Catalogs.
Prior exposure to cloud computing services like Azure Cloud is advantageous (especially ML and AI toolkits).
Understanding of Model Evaluation metrics, Data Drift and Model Drift detections.
Hands-on experience on handling Large Dataset using Azure Databricks and Azure Cloud is must.
Problem-Solving:
Ability to translate business problems into analytical frameworks and develop data-driven solutions.
Communication Skills:
Strong interpersonal and communication skills with the ability to explain complex concepts to non-technical stakeholders.
Team Collaboration:
Demonstrated ability to work effectively in a collaborative team environment.
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Business Intelligence & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Syren Cloud Inc
Location(s): Hyderabad
Keyskills:
Computer science
Cloud computing
deep learning
Analytical
Postgresql
Machine learning
Cloud
Database
Research
Python
