Machine Learning Engineer

1 week ago

Greater Bengaluru Area, India Digile Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are looking for a passionate and skilled
AI Consultant
to work . The ideal candidate will have strong experience in
Data Analytics, AI/ML, Predictive Modelling
, and
Statistical Analysis
. This role involves collaborating with cross-functional teams to design, develop, and deploy AI-driven business solutions that enhance decision-making and optimize business outcomes.

Key Responsibilities:

  • Partner with business and technical teams to identify opportunities for AI and data-driven improvements.
  • Design and implement
    predictive models
    and
    machine learning algorithms
    to solve complex business problems.
  • Perform
    data extraction, cleaning, transformation, and analysis
    using large datasets.
  • Develop
    end-to-end AI/ML solutions
    , from proof of concept to deployment.
  • Work with
    data scientists, data engineers, and business stakeholders
    to translate business needs into analytical solutions.
  • Evaluate model performance, fine-tune algorithms, and ensure model interpretability and reliability.
  • Stay updated with the latest trends and technologies in AI, ML, and data science.

Required Skills & Experience:

  • 3–6 years of experience in
    Data Science / AI / ML
    roles.
  • Strong knowledge of
    Python / R
    ,
    SQL
    , and relevant
    data analytics libraries
    (Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch).
  • Hands-on experience in
    predictive analysis and modelling techniques
    (regression, classification, clustering, time-series forecasting, etc.).
  • Proficiency in
    data visualization tools
    (Power BI, Tableau, or similar).
  • Experience working with
    cloud platforms
    (AWS / Azure / GCP) for AI and ML solutions.
  • Strong understanding of
    statistical methods
    and
    data-driven problem-solving
    .
  • Excellent analytical, communication, and presentation skills.

Good to Have:

  • Experience in deploying ML models into production environments.
  • Exposure to
    Natural Language Processing (NLP)
    or
    Computer Vision
    projects.
  • Prior client-facing consulting experience, preferably in international projects.

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