Senior AI ML Engineer

6 days ago

Chennai, India Business Core Solutions Full time

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.
  • Experience with ML frameworks and libraries: TensorFlow, PyTorch, scikit-learn, Keras.
  • 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.

Requirements:

  • 3–5 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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