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Machine Learning Engineer

Machine Learning Engineer

Colab Platforms Limitedpune, maharashtra, in
1 day ago
Job description

We are seeking a highly skilled AI / ML Engineer to design, develop, and deploy machine learning and deep learning solutions that drive innovation and business value. The ideal candidate will have hands-on experience with data preprocessing, model development, optimization, deployment, and monitoring in production environments. You will work cross-functionally with data scientists, data engineers, and software developers to integrate AI-driven features into our products and services.

Key Responsibilities :

Model Development & Implementation

  • Design, train, and optimize machine learning and deep learning models for predictive analytics, natural language processing, computer vision, or recommendation systems.
  • Perform feature engineering , data preprocessing, and exploratory data analysis (EDA).
  • Evaluate models using appropriate metrics and validation techniques.
  • Implement scalable ML pipelines and experiment tracking.

Deployment & MLOps

  • Build and maintain end-to-end ML pipelines , from data ingestion to model serving.
  • Deploy models into production using tools like Docker, Kubernetes, TensorFlow Serving, TorchServe, or MLflow .
  • Monitor model performance, perform drift detection, and retrain models as needed.
  • Collaborate with DevOps to ensure CI / CD for ML workflows.
  • Collaboration & Research

  • Partner with data scientists, software engineers, and product managers to identify opportunities for AI integration.
  • Stay up to date with emerging trends in AI, ML, and GenAI technologies.
  • Contribute to technical documentation, code reviews, and internal knowledge sharing.
  • Data Management :

  • Work closely with data engineering teams to ensure clean, structured, and accessible datasets.
  • Apply techniques for data augmentation , dimensionality reduction , and data quality improvement .
  • Required Skills and Qualifications :

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field .
  • 2–5+ years of experience (adjust based on role level) in building and deploying ML models in production.
  • Proficiency in Python and ML / DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, Hugging Face Transformers , etc.
  • Strong understanding of machine learning algorithms , deep learning architectures (CNNs, RNNs, LSTMs, Transformers) , and statistical modeling .
  • Experience with SQL, Pandas, NumPy , and data visualization tools (Matplotlib, Seaborn, Plotly).
  • Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Excellent problem-solving, analytical, and communication skills.
  • Preferred Qualifications :

  • Experience with large language models (LLMs) and generative AI (GenAI) .
  • Exposure to vector databases (Pinecone, FAISS, Milvus) and retrieval-augmented generation (RAG) systems.
  • Background in data engineering (ETL, data pipelines) or software engineering (API development).
  • Publications or contributions to open-source AI / ML projects.
  • Soft Skills :

  • Strong analytical mindset and curiosity for data-driven insights.
  • Ability to translate complex technical concepts into actionable business outcomes.
  • Collaboration and teamwork across multi-disciplinary teams.
  • Ownership mentality and accountability for deliverables.
  • Location : Goregaon East, Mumbai

    Experience : 2-3 years

    Salary : 60k per month

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