HamburgerMenu
hirist

RDSolutions - Machine Learning Engineer - Python

Posted on: 08/12/2025

Job Description

Description :


Job Title : ML Engineer.



Employment Type : Full time, Permanent.



Location : Hyderabad.



Qualifications : BE/B.tech/MCA Degree in Computer Science, Engineering, or similar relevant Field.



Total Experience : 4+ Years.



Working Model : Work from Office/Hybrid.



About the Role :


We are seeking a skilled Machine Learning Engineer to design, build, and deploy scalable, data-driven solutions for enterprise environments.


The ideal candidate will collaborate closely with clients and cross-functional teams to develop ML systems, optimize performance, and deliver measurable business impact.


Primary Responsibilities :



- Collaborate with clients, data scientists, and engineering teams to deliver end-to-end machine learning solutions.


- Identify opportunities to implement new ML techniques and build pipelines to enable enterprise-scale deployment.


- Translate client requirements into data-driven models, processes, and analytical metrics.


- Analyze and transform large datasets across cloud platforms such as AWS, Azure, and GCP.


- Design, develop, and deploy advanced analytics solutions (e.g., recommender systems, NLP models, risk scoring).


- Productionize ML systems with a strong focus on optimization, scalability, and reliability.


- Contribute to practice growth through client presentations, proposal writing, business development activities, and mentoring junior team members.


Qualifications :



- Bachelors degree or equivalent experience.


- Hands-on experience handling and analyzing large (multi-billion-record) datasets.


- Strong programming skills in Python, Scala, or similar languages.


- Proficiency in SQL, MapReduce/Hive, NoSQL, and modern distributed data-processing frameworks.


- Working knowledge of data warehousing tools/environments such as Snowflake, Teradata, SQL Server, RDS, and Presto.


- Ability to frame data-driven business problems across industries.


- Experience in analytical domains such as consumer, marketing, financial, website, healthcare, or social media analytics.


- Hands-on expertise in implementing production-scale ML systems (NLP, personalization, computer vision, etc.)


- Understanding of DevOps and automation practices.


- Strong knowledge of statistics, modeling techniques, and model management/versioning.


info-icon

Did you find something suspicious?

Similar jobs that you might be interested in