Sr AI/ML Engineer
SRS Consulting Inc
- Location
- Hyderabad, Telangana, India
- Job type
- Full-time
Required skills
- LangChain
- Python
- AWS
- Apache
- Apache Spark
- Azure
- big data technologies
- compliance
- computer vision
- containerization
- data science
- deep learning
- Docker
- end-to-end
- ETL
- FastAPI
- Flask
- GCP
- Git
- Hadoop
- Kafka
- Kubernetes
- machine learning
- microservices
- NLP
- Spark
- SQL
- TensorFlow
- Pytorch
About the role
SRS Consulting Inc
Website:
srsconsultinginc.com
Job details:
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
- Bachelor’s/Master’s/PhD in Computer Science, AI, Data Science, or related field
- 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
- Familiarity with frameworks like LangChain, 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
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