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    Home/Jobs/Machine Learning Engineer

    Machine Learning Engineer

    Fusemachines

    Remote
    3-8 years
    Today
    ₹12–22 LPA
    Full-time
    Remote

    Skills Required

    Python
    SQL
    Pandas
    NumPy
    Scikit-learn
    PyTorch
    TensorFlow
    Keras
    Machine Learning
    Deep Learning
    Statistics
    Databricks
    Apache Spark
    Delta Lake
    MLflow

    Description

    Fusemachines is hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact.

    Company: Fusemachines

    Role: Machine Learning Engineer / Data Scientist

    Location: Remote

    Experience:

    • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)

    Key Skills:

    • Python
    • SQL
    • pandas
    • numpy
    • scikit-learn
    • PyTorch
    • TensorFlow/Keras
    • Databricks
    • Spark
    • Delta Lake
    • MLflow
    • Databricks Jobs/Workflows
    • Airflow
    • Prefect
    • Dagster
    • Snowflake
    • BigQuery
    • Redshift
    • AWS
    • GCP
    • Azure
    • IBM
    • Docker

    Qualification:

    • Strong foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset
    • Hands-on experience across multiple model types, including: Classification & regression, Time series forecasting, Clustering/segmentation
    • Experience with deep learning in PyTorch or TensorFlow/Keras
    • Clear communication skills and ability to translate analysis into decisions

    Role Focus:

    • Problem Framing & Stakeholder Partnership: Translate business questions into ML problem statements
    • Data Analysis & Feature Engineering: Use SQL and Python to extract, join, and analyze data
    • Model Development (Core ML): Train and tune supervised learning models for tabular data
    • Evaluation, Explainability, and Iteration: Choose appropriate metrics and create evaluation reports
    • Productionization & MLOps (Project-Dependent): Package models for deployment and collaborate with engineers on integration

    Additional responsibilities:

    • Documentation & Communication: Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders

    Nice to have:

    • Causal inference experience
    • Agentic development experience
    • Deep familiarity with agentic coding tools and workflows
    • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)
    • Experience with responsible AI and governance best practices
    • Consulting or client-facing delivery experience
    • Certifications (Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM, Databricks certifications)

    Other:

    • Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion
    • Immigration Sponsorship Policy: Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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