ML Engineer

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