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Emergys
Machine Learning Engineer (Agentic AI & LLMs)
Emergys
Pune•On-site•9-12 Yrs•1 hour ago
Job description
Overview
Location: Pune, India (Work from Office)
Responsibilities
- Data Architecture Design: Designing and implementing scalable and resilient data architectures for both batch and streaming data processing.
- Data Modeling: Developing data models and database structures to ensure efficient data storage and retrieval.
- Data Security and Governance: Ensuring data security, integrity, and compliance with relevant regulations.
- Data Integration: Integrating data from various sources, including legacy systems, into the big data infrastructure.
- Performance Optimization: Monitoring and optimizing the performance of the big data infrastructure.
- Collaboration: Working with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions.
- Technology Selection: Evaluating and recommending new technologies and tools for data management and processing.
- Mentorship: Provide guidance and mentorship to junior team members.
- Problem Solving: Identifying and resolving complex data challenges.
- Participate in the pre and post sales process, helping both the sales, professional.
- Skills and Qualifications:
- Bachelor’s / Master’s degree in computer science, computer engineering, or relevant field.
- Overall 10+ years of experience, at least 2 years of experience in Big Data Architect.
- Strong understanding of big data technologies: Hadoop, Spark, NoSQL databases, cloud-based data services (AWS, Azure, GCP).
Qualifications
- Location: Pune, India (Work from Office)
- Proficiency in data modeling and database design: SQL, NoSQL.
- Strong analytical and problem-solving skills.
- Good communication and collaboration skills.
- Knowledge of API design and development.
- Understanding of data visualization techniques.
- Strong understanding of authentication (i.e. LDAP , Active Directory, SAML, Kerberos etc.) & authorization configuration for Hadoop based distributed systems.
- Familiarity of DevOps methodology & toolsets and automation experience.