AI/ML Engineer

4 days ago

Bengaluru, Karnataka, India Focally Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

Focally is a cutting-edge company specializing in the development of AR and VR smart glasses. Based in Bangalore, India, we are committed to innovation and excellence in the field of augmented and virtual reality.

Role Description

This is a full-time, on-site AI/ML Engineer role based in Bengaluru. The AI/ML Engineer will develop and implement machine learning models, design neural networks, and apply advanced algorithms to solve complex problems. Day-to-day responsibilities include research, data analysis, and building scalable AI solutions to support the company's augmented reality technologies.

Qualifications

  • Bachelor's degree in
    Computer Science, Data Science, Engineering, or a related field
    .
  • 2+ years of experience
    in machine learning model development and deployment.

  • Proficiency in
    Python
    and ML libraries:

  • NumPy, Pandas, Scikit-learn

  • TensorFlow or PyTorch

  • Experience with
    data pre-processing, feature engineering
    , and exploratory data analysis.

  • Familiarity with
    deep learning architectures
    (CNNs, RNNs, Transformers).
  • Hands-on experience with
    REST APIs
    ,
    Docker
    , and cloud platforms (AWS, GCP, Azure).
  • Understanding of
    version control
    (Git) and basic CI/CD workflows.
  • Strong understanding of
    statistics
    ,
    machine learning algorithms
    , and evaluation metrics.

Preferred Skills

  • Experience with
    ML Ops
    tools (MLflow, Kubeflow, Airflow, Prefect).
  • Knowledge of
    NLP
    libraries (spaCy, Hugging Face Transformers).
  • Familiarity with
    big data tools
    (Spark, Hadoop).
  • Exposure to vector databases, LLM fine-tuning, or RAG systems.
  • Experience deploying models using
    serverless architecture
    , Kubernetes, or managed ML services.

Soft Skills

  • Strong analytical and problem-solving mindset.
  • Ability to collaborate with data scientists, software engineers, and product teams.
  • Good communication skills, with the ability to explain technical concepts clearly.
  • Proactive attitude and willingness to learn and adapt.

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