Machine Learning Engineer

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:

CapTech Consulting (www.captechconsulting.com), a U.S.-based technology and management consulting firm within the Markel Group (NYSE: MKL), and RD Solutions (RDSolutions.io), an innovative retail-tech products company in the same ecosystem, together drive global digital transformation and next-generation retail solutions through their specialized capabilities. Through which, we help leading organizations design, build, and modernize digital products, data platforms, and customer experiences that deliver measurable business impact.

Our Global Capability Center (GCC) in Noida and the new center currently being established in Hyderabad extends this mission by delivering world-class engineering, analytics, and innovation capabilities from India.

Machine Learning Engineer

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

• Bachelor’s 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.