Sr AI/ML Engineer

7 days ago

Chennai, India Basis Cloud Solutions Full time

Role & responsibilities:

We are looking for a Senior AI/ML Engineer to design, develop, and deploy innovative AI/ML solutions that enhance our products and services. This role involves leading the AI/ML lifecycle from conception to production, collaborating with cross-functional teams, and mentoring junior engineers. The ideal candidate is a hands-on technical expert with strong problem-solving skills and a passion for pushing the boundaries of artificial intelligence.

Roles & Responsibilities:

  • Design and develop scalable AI/ML models and solutions for integration into existing systems.
  • Lead end-to-end AI/ML lifecycle from problem definition, data collection, model building, evaluation, and deployment.
  • Collaborate with product managers, data scientists, and software engineers to integrate models into production systems.
  • Research and implement state-of-the-art algorithms to continuously improve performance.
  • Optimize AI/ML models for performance and scalability in cloud-based environments.
  • Provide technical guidance and mentorship to junior team members.

Skills & Knowledge:

  • Strong understanding of machine learning techniques and algorithms (regression, classification, clustering, reinforcement learning).
  • Proficiency in programming languages: Python, Java, R, PySpark/Scala.
  • Hands-on expertise with cloud platforms (AWS, Azure, GCP) and deploying AI/ML models in cloud environments.
  • Knowledge of big data technologies (Hadoop, Spark) for handling large-scale datasets.
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Experience with ML frameworks and libraries: TensorFlow, PyTorch, scikit-learn, Keras.

Requirements:

  • 35 years of experience in designing and implementing machine learning solutions in a production environment.
  • Proven track record of delivering AI/ML projects from concept to production.
  • Ability to work collaboratively in cross-functional teams.

Education & Certification:

  • Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field.

Preferred Certifications:

  • Machine Learning or AI certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional ML Engineer, Microsoft Certified Azure AI Engineer Associate).
  • Big Data or Cloud certifications are an added advantage.

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