SRS Business Solutions
Senior Artificial Intelligence/Machine Learning Engineer
- Compensation
- Not disclosed
- Location
- Hyderabad
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Ml / AI
- Posted
Skills
Full description
Job Title : Senior AI/ML Engineer
Experience : 7 to 10 Years
Location : Hyderabad, India
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
- Design and implement advanced models (NLP, Computer Vision, Recommendation Systems, etc.)
- Mentor junior engineers and guide best practices in ML development
- Collaborate with product managers, data engineers, and stakeholders to translate business problems into AI solutions
- Optimize model performance, scalability, and reliability in production
- Drive adoption of MLOps practices (CI/CD for ML, monitoring, model governance)
- Conduct research and apply cutting-edge techniques in AI/ML
- Ensure model explainability, fairness, and compliance standards
Required Skills & Qualifications
- Bachelors/Masters/PhD in Computer Science, AI, Data Science, or related field
- 7 to 10 years of professional experience in AI/ML development
Strong expertise in Python and ML frameworks :
- TensorFlow, PyTorch, Scikit-learn
Deep understanding of :
- Machine Learning algorithms (supervised, unsupervised, reinforcement learning)
- Deep Learning architectures (CNNs, RNNs, Transformers)
- Hands-on experience in productionizing ML models at scale
Strong 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 :
- Experience with Large Language Models (LLMs) and Generative AI