Senior AI / ML engineer

Srs Business Solutions India; Hyderabad; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Srs Business Solutions India is seeking a Senior AI/ML Engineer to lead the design and deployment of advanced machine learning systems. The role requires deep technical expertise and leadership capability.

The ideal candidate will have 7–10 years of experience, a strong background in Python, and proficiency in ML frameworks like TensorFlow and PyTorch. This position is crucial for driving innovation and delivering scalable AI solutions.

Qualifications

• 7–10 years of professional experience in AI/ML development.
• Deep understanding of machine learning algorithms and deep learning architectures.
• Hands-on experience in productionizing ML models at scale.

Responsibilities

• Lead end-to-end development of AI/ML solutions.
• Architect scalable and efficient ML pipelines and data workflows.
• Mentor junior engineers and guide best practices in ML development.

Skills

Python

Machine Learning algorithms

Deep Learning architectures

Data engineering

Big data technologies

Cloud platforms (AWS/Azure/GCP)

APIs and microservices

Containerization (Docker, Kubernetes)

Education

Bachelors/Master’s/PhD in Computer Science, AI, Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Apache Spark

Hadoop

Job description

Job Summary

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/Master’s/PhD in Computer Science, AI, Data Science, or related field
• 7–10 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