Senior ML/AI Engineer

Hyderabad, Telangana, India
Mar 06, 2025
Mar 06, 2026
Remote
Full-Time
3 Years
Job Description

We are looking for a highly skilled Senior Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team. In this role, you will play a crucial part in designing, developing, and deploying cutting-edge ML solutions at scale. As a key technical contributor, you will be responsible for delivering high-quality AI-driven applications, mentoring junior engineers, and working closely with cross-functional teams to translate business requirements into impactful ML solutions.

This role offers a great opportunity to work on real-world machine learning problems, deploy scalable models on the cloud, and stay at the forefront of AI innovation. If you are passionate about AI, enjoy solving complex problems, and thrive in a collaborative environment, we would love to hear from you!

Key Responsibilities

End-to-End ML Solution Development

  • Develop and deploy production-ready ML models that cater to a large user base.
  • Build scalable and efficient ML pipelines using Python and cloud services.
  • Architect, design, and optimize solutions for high performance and scalability.

Technical Leadership & Collaboration

  • Act as a technical leader, providing guidance and mentorship to junior engineers.
  • Lead technical discussions, making informed decisions on ML models, algorithms, and infrastructure.
  • Work closely with cross-functional teams including product managers, data scientists, and software engineers.
  • Conduct technical workshops for clients and internal teams.

Cloud & MLOps Implementation

  • Deploy and manage models on AWS, Azure, or GCP, ensuring best practices in cloud computing and security.
  • Implement MLOps methodologies for continuous integration, deployment, and monitoring of ML models.
  • Optimize workflows using containerization (Docker, Kubernetes) and cloud-native services.

Innovation & Research

  • Stay updated with state-of-the-art ML research, exploring and evaluating emerging AI technologies.
  • Drive internal innovation by experimenting with cutting-edge tools, frameworks, and algorithms.
  • Ensure best practices in model explainability, fairness, and ethical AI.

Business Alignment & Strategy

  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Provide expert advice by communicating a structured narrative to non-technical clients and leadership.
  • Support sales teams in identifying opportunities and landing high-impact ML projects.

Skills & Qualifications

Must-Have

  • 3+ years of hands-on experience in machine learning and software development.
  • Strong programming skills in Python with proficiency in software development best practices.
  • Experience deploying ML models at scale using cloud platforms (AWS, Azure, or GCP).
  • Familiarity with MLOps best practices for model deployment, monitoring, and automation.
  • Excellent problem-solving skills with a deep understanding of data structures and algorithms.
  • Strong communication skills, with the ability to explain complex AI concepts to non-technical audiences.
  • A coaching and knowledge-sharing mindset, willing to mentor junior engineers.

Nice-to-Have (Preferred)

  • Experience leading technical teams or projects.
  • Knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Hands-on experience with big data technologies (Spark, Databricks, Snowflake).
  • Understanding of DevOps practices and infrastructure as code (Terraform, CI/CD pipelines).
  • Experience with AI ethics, bias mitigation, and explainable AI techniques.

Why Join Us?

  1. Cutting-Edge AI Work. Work on real-world AI projects that make a difference.
  2. Career Growth. Be part of a team that fosters continuous learning and professional development.
  3. Remote Flexibility. Work from anywhere in India while collaborating with a global team.
  4. Innovative Culture. Engage in knowledge-sharing, R&D, and state-of-the-art ML research.
  5. Tech Leadership. Take ownership, lead projects, and drive AI innovation within the company.

If you are passionate about machine learning, eager to work on challenging AI projects, and ready to take on a leadership role, apply now!