Advanced Machine Learning Engineer

22 hours ago

Mangalore, Karnataka, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 1,80,00,000
About the Role

We are a dynamic team of data analytics experts who thrive at the intersection of curiosity, rigour, and business impact.

Our mission is to transform data into actionable insights that drive strategic decisions and innovation across the organisation.

Key Responsibilities:
  • Data Analysis & Modelling: Design and develop robust machine learning and statistical models tailored to solving complex business problems.
  • Model Deployment: Deploy models to production environments, ensuring scalability, stability, and maintainability.
  • Data Exploration: Analyse large and complex datasets to uncover trends, patterns, and opportunities.
  • Cross-Functional Collaboration: Work cross-functionally with business leaders, product managers, analysts, and engineers to understand requirements, translate business needs into analytical solutions, and clearly communicate findings and recommendations.
  • Documentation & Best Practices: Maintain comprehensive documentation for models, codebases, and analytical processes.
  • Innovation & Learning: Stay abreast of the latest developments in data science, machine learning, and AI.
Required Skills & Qualifications:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
  • Proven experience (3+ years) in building, refining, and deploying machine learning/statistical models in a professional setting.
  • Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
  • Solid understanding of data structures, algorithms, and software engineering principles.
Preferred Skills:
  • Experience in deploying models into real-time or high-availability production environments.
  • Familiarity with MLOps practices and tools.
  • Knowledge of data visualisation tools (e.g., Tableau, Power BI, Plotly, Dash).
Core Competencies:
  • Technical Excellence: Demonstrates expertise in applying data science techniques to solve real-world problems.
  • Business Acumen: Understands business drivers and challenges, aligning analytical approaches with organisational goals.
  • Ownership & Accountability: Takes responsibility for deliverables, timelines, and quality of work.
  • Collaboration: Fosters an inclusive and supportive team environment.

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