Software Engineer- ML

Full Time Guwahati & Bangalore Experience - 2+ years CTC- Best In Industry Job Description We are seeking an experienced and skilled Software Engineer – Machine Learning to design, develop, and optimize machine learning solutions and data systems. The ideal candidate has a proven track record of implementing ML models, building scalable systems, and working collaboratively with cross-functional teams to solve complex challenges using data-driven approaches. Roles and Responsibilities • Design and implement end-to-end machine learning solutions, from data preprocessing to model deployment. • Build and optimize scalable data pipelines to support ML workflows. • Collaborate with data scientists, engineers, and product teams to integrate machine learning models into production systems. • Monitor and optimize deployed models for performance, accuracy, and efficiency. • Research and stay updated with the latest trends and advancements in machine learning. • Debug and troubleshoot complex issues related to ML systems and pipelines. • Document processes, workflows, and solutions to ensure knowledge sharing and clarity. Required Skills Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related fields. Technical Skills: • Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. • Solid experience with data processing tools like Pandas, NumPy, and Spark. • Proficiency in SQL and experience with database systems. • Hands-on experience with cloud platforms (AWS, GCP, Azure) for ML workflows. • Familiarity with CI/CD pipelines and version control systems like Git. • Experience with model deployment frameworks like Flask, FastAPI, or Docker. Experience: 2+ years of experience in data engineering or related fields. Soft Skills: • Strong analytical skills and the ability to troubleshoot complex issues. • Leadership skills to guide junior team members and drive team success. • Team player with a proactive approach to learning and collaboration. Preferred Skills/Qualifications Education: Bachelor’s degree in Computer Science, Information Technology, or related field. Technical Skills: • Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker. • Knowledge of big data technologies like Hadoop, Spark, or Kafka. • Familiarity with advanced machine learning techniques such as NLP, computer vision, or reinforcement learning. • Experience in designing and managing streaming data workflows. Experience: 2+ years Key Performance Indicators: • Successfully deliver optimized and scalable ML solutions within deadlines. • Maintain high model performance in production environments. • Ensure seamless integration of ML models with business applications.