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Senior Artificial Intelligence/Machine Learning Engineer

SRS Business Solutions
7 - 10 Years
Hyderabad

Posted on: 01/07/2026

Job 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

- 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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