Lead AI/ML Systems Developer (Hyderabad) at SRS Business ... | Findjobs
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Lead AI/ML Systems Developer (Hyderabad)
SRS Business Solutions India Private
Location
🇮🇳 Hyderabad, India
Type
full_time
Salary
Undisclosed
Posted
2w ago
Job Description
Job Description
:
Role Overview
We are seeking an experienced Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning systems. This role requires deep technical expertise, leadership capability, and hands-on experience in building scalable AI solutions that drive business impact.
Key Responsibilities
Lead end-to-end development of AI/ML solutions from problem definition to production deployment
Architect scalable and efficient ML pipelines and data workflows
Deep Learning architectures (CNNs, RNNs, Transformers)
Hands-on experience in productionizing ML models at scale
Robust experience with:
Data engineering (SQL, ETL pipelines)
Big data technologies (Apache Spark, Hadoop)
Experience with cloud platforms:
AWS / Azure / GCP
Proficiency in building APIs and microservices (FastAPI, Flask)
Experience with containerization and orchestration:
Docker, Kubernetes
Strong understanding of software engineering best practices (Git, CI/CD)
Preferred Qualifications
Familiarity with frameworks like Lang Chain, Hugging Face
Experience in real-time ML systems and streaming data (Kafka)
Prior experience in leading teams or technical projects
Publications or contributions in AI/ML research (optional but valued) Leadership &
Soft Skills
Strong leadership and mentoring capabilities
Excellent problem-solving and strategic thinking
Effective stakeholder communication and presentation skills
Ability to drive innovation and influence technical decisions
Job Description
:
Role Overview
We are seeking an experienced Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning systems. This role requires deep technical expertise, leadership capability, and hands-on experience in building scalable AI solutions that drive business impact.
Key Responsibilities
Lead end-to-end development of AI/ML solutions from problem definition to production deployment
Architect scalable and efficient ML pipelines and data workflows