Job Title:
Machine Learning Engineer 3+ Location:
SECOND FLOOR, PLOT NO. A-61, B/4, Spring Meadows Business Park, Sector 63, Noida, Gautam buddha Nagar, Uttar Pradesh, 201301 Experience Required:
3+ (onsite) applicant location preferred- Noida, Delhi, Gurgaon Job Summary: We are seeking a skilled Machine Learning Engineer to develop and deploy scalable ML models, enhance our AI capabilities, and drive innovation within our team. The ideal candidate is proficient in data science, ML algorithms, and software development, with a strong analytical mindset. Key Responsibilities: Design, develop, and implement machine learning models to solve business problems. Analyze and preprocess large datasets for ML model training. Evaluate, optimize, and improve existing ML models and algorithms. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest trends and advancements in machine learning. Deploy and monitor ML models in production environments. Requirements: Strong knowledge of ML algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in programming languages such as Python, R, or Java. Experience with data preprocessing and feature engineering. Familiarity with cloud platforms (AWS, Azure, GCP) and ML deployment tools. Excellent problem-solving and analytical skills. Preferred Qualifications: Experience with deep learning and natural language processing (NLP). Knowledge of big data technologies (Hadoop, Spark). Hands-on experience with MLOps practices.
Machine Learning Engineer 3+ Location:
SECOND FLOOR, PLOT NO. A-61, B/4, Spring Meadows Business Park, Sector 63, Noida, Gautam buddha Nagar, Uttar Pradesh, 201301 Experience Required:
3+ (onsite) applicant location preferred- Noida, Delhi, Gurgaon Job Summary: We are seeking a skilled Machine Learning Engineer to develop and deploy scalable ML models, enhance our AI capabilities, and drive innovation within our team. The ideal candidate is proficient in data science, ML algorithms, and software development, with a strong analytical mindset. Key Responsibilities: Design, develop, and implement machine learning models to solve business problems. Analyze and preprocess large datasets for ML model training. Evaluate, optimize, and improve existing ML models and algorithms. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest trends and advancements in machine learning. Deploy and monitor ML models in production environments. Requirements: Strong knowledge of ML algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in programming languages such as Python, R, or Java. Experience with data preprocessing and feature engineering. Familiarity with cloud platforms (AWS, Azure, GCP) and ML deployment tools. Excellent problem-solving and analytical skills. Preferred Qualifications: Experience with deep learning and natural language processing (NLP). Knowledge of big data technologies (Hadoop, Spark). Hands-on experience with MLOps practices.