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AI / ML Engineer - Predictive Analytics

AI / ML Engineer - Predictive Analytics

HiringhoodIndia
3 days ago
Job description

Description :

Job Title : AI / ML Engineer

Experience : 28 years

Employment Type : Full-time, Permanent

About the Role :

We are seeking an AI / ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The role involves building scalable AI models, optimizing algorithms, and integrating AI capabilities into business workflows. You will work closely with data scientists, engineers, and product teams to deliver impactful AI-driven solutions.

Key Responsibilities :

  • Design, develop, and deploy machine learning and AI models for predictive analytics, natural language processing, computer vision, or other AI applications.
  • Collaborate with cross-functional teams to translate business problems into AI solutions.
  • Implement and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
  • Optimize models for performance, scalability, and efficiency in production environments.
  • Stay up-to-date with the latest AI / ML research, tools, and frameworks, recommending improvements or new approaches.
  • Ensure adherence to AI governance, ethical practices, and data privacy standards.
  • Document models, experiments, and processes to ensure reproducibility and knowledge sharing.

Required Qualifications :

  • Strong experience with Python and AI / ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Hands-on experience with data processing and analysis (SQL, Pandas, Spark, etc.).
  • Knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning.
  • Understanding of cloud platforms (AWS, Azure, GCP) and deployment of ML models.
  • Strong analytical, problem-solving, and communication skills.
  • Preferred Qualifications :

  • Experience with deep learning, NLP, computer vision, or reinforcement learning.
  • Familiarity with MLOps practices, model versioning, and CI / CD pipelines.
  • Experience with generative AI, LLMs, or agent-based AI systems.
  • Background in AI project deployment at scale in enterprise or product environments.
  • Ideal Traits :

  • Passionate about AI / ML technologies and innovation.
  • Ability to work independently and in a collaborative team.
  • Detail-oriented with strong critical thinking and problem-solving abilities.
  • Eagerness to learn new tools, techniques, and frameworks in AI / ML.
  • (ref : hirist.tech)

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