| 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
- Translate client requirements into data-driven models, processes, and analytical
- 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
- Contribute to practice growth through client presentations, proposal writing, business development activities, and mentoring junior team
Qualifications:
- Bachelor’s degree or equivalent
- Hands-on experience handling and analyzing large (multi-billion-record)
- Strong programming skills in Python, Scala, or similar
- Proficiency in SQL, MapReduce/Hive, NoSQL, and modern distributed data- processing
- Working knowledge of data warehousing tools/environments such as Snowflake, Teradata, SQL Server, RDS, and
- Ability to frame data-driven business problems across
- Experience in analytical domains such as consumer, marketing, financial, website, healthcare, or social media
- Hands-on expertise in implementing production-scale ML systems (NLP, personalization, computer vision, ).
- Understanding of DevOps and automation
- Strong knowledge of statistics, modeling techniques, and model management/versioning.
Why Join US:
- Be part of a Fortune 500 global enterprise known for innovation, integrity, and long-term growth.
- Join a Global Capability Center that combines the energy of a startup with the stability of a global brand.
- Collaborate with U.S. based teams on cutting-edge, enterprise-scale projects.
- Work in a hybrid environment that promotes learning, craftsmanship, and career growth.
Fill the Form
Filter by:
L O A D I N G . . .
