ML Engineer

1 day ago

Pune, Maharashtra, India SAPLING INFOSYSTEMS Full time ₹ 10,80,000 - ₹ 12,00,000 per year

Job description:

About the Role:

We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy scalable ML models and end-to-end AI solutions. The ideal candidate will have hands-on experience across the ML lifecycle — from data preprocessing to model training, fine-tuning, evaluation, deployment, and monitoring. You'll collaborate with cross-functional teams to translate business problems into data-driven solutions and work with modern MLOps frameworks to ensure efficiency, reproducibility, and scalability.

Key Responsibilities:

  • Develop and implement machine learning models for structured and unstructured data.
  • Perform data preprocessing, feature engineering, and exploratory data analysis using Pandas and NumPy.
  • Design and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring.
  • Apply and fine-tune ML algorithms using Scikit-learn, TensorFlow, and PyTorch.
  • Utilize PySpark for large-scale data processing and distributed ML workloads.
  • Implement and manage model deployment using AWS SageMaker, Azure ML, or GCP Vertex AI.
  • Use MLflow or similar tools for experiment tracking, versioning, and reproducibility.
  • Monitor and optimize models for performance, drift, and scalability in production environments.
  • Work with Large Language Models (LLMs) such as OpenAI GPT and Hugging Face Transformers for advanced NLP and generative AI use cases.
  • Collaborate with Data Scientists, Engineers, and Product teams to integrate ML solutions into production systems.
  • Contribute to MLOps practices, ensuring automation and efficiency across the model lifecycle.
  • Stay up-to-date with emerging trends in ML, AI frameworks, and cloud-based ML solutions.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
  • 4–5 years of hands-on experience in Machine Learning Engineering or a similar role.
  • Strong programming skills in Python with proficiency in Pandas, NumPy, and Scikit-learn.
  • Expertise in TensorFlow, PyTorch, and PySpark.
  • Experience building and deploying end-to-end ML pipelines.
  • Strong understanding of model evaluation techniques, fine-tuning, and optimization.
  • Experience with MLOps tools such as MLflow, Kubeflow, or DVC.
  • Familiarity with OpenAI, Hugging Face Transformers, and LLM architectures.
  • Proficiency with cloud ML platforms like AWS SageMaker, Azure ML, or GCP Vertex AI.
  • Solid understanding of model lifecycle management, versioning, and experiment reproducibility.
  • Excellent analytical thinking, problem-solving, and communication skills.
  • Proven ability to work effectively in cross-functional and collaborative environments.

Nice to Have:

  • Experience with data versioning tools (e.g., DVC, Delta Lake).
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes).
  • Exposure to generative AI applications and prompt engineering.

Why Join Us:

  • Opportunity to work on cutting-edge AI/ML and LLM-based projects.
  • Collaborative, growth-driven environment.
  • Access to the latest AI tools and cloud ML infrastructure.
  • Competitive compensation and professional development opportunities.

Job Type: Full-time

Pay: ₹90, ₹100,000.00 per month

Benefits:

  • Work from home

Work Location: In person

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