ML Engineer

3 days ago

Remote, India Sahil InfoTech Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Title: Machine Learning Engineer

Location: Yogichowk, Surat (Remote option available)

Experience Required: Minimum 2 years

Employment Type: Full-time

Job Summary

We are seeking a highly motivated Machine Learning Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing ML models. The ideal candidate should have strong problem-solving skills, experience with production-level ML systems, and the ability to collaborate with cross-functional teams to deliver AI-driven solutions.

Key Responsibilities

  • Design, develop, and deploy machine learning models to solve real-world business problems.
  • Collect, preprocess, and analyze large datasets for training and testing ML algorithms.
  • Build and optimize data pipelines to support scalable model development and deployment.
  • Implement, test, and maintain ML models in production (MLOps practices preferred).
  • Collaborate with data scientists, software engineers, and business stakeholders.
  • Monitor and improve model performance, accuracy, and efficiency.
  • Stay updated with the latest advancements in AI, ML, NLP, and deep learning.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
  • Minimum 2 years of hands-on experience as an ML Engineer, Data Scientist, or similar role.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of machine learning algorithms, deep learning, NLP, and data preprocessing techniques.
  • Experience with SQL/NoSQL databases and handling large datasets.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is a plus.
  • Good understanding of MLOps, model deployment, and monitoring tools.
  • Strong problem-solving skills and ability to work in a team-oriented environment.

Nice-to-Have (Preferred)

  • Experience with big data tools (Spark, Hadoop).
  • Exposure to Generative AI / LLMs (OpenAI, Hugging Face, LangChain).
  • Knowledge of DevOps practices for ML (CI/CD pipelines for ML models).
  • Contributions to research papers, open-source projects, or Kaggle competitions.

Job Types: Full-time, Freelance

Contract length: 3 months

Pay: From ₹1,280.00 per hour

Expected hours: 50 per week

Benefits:

  • Work from home

Work Location: Remote

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