Job Description: AI/ML Engineer
Position: AI/ML Engineer
Experience: 4+ Years
Location: Pune
Education Requirement: Bachelor’s degree in IT or related field
About Us:
We are an innovative company at the forefront of technological advancements, striving to revolutionize the way AI and Machine Learning are leveraged across industries. We are looking for a skilled AI/ML Engineer with a passion for building intelligent systems that solve real-world problems. Join our dynamic team and help shape the future of AI-driven solutions.
Responsibilities:
- Model Development: Design, build, and deploy machine learning models to address business challenges and improve user experiences.
- Data Analysis: Work closely with data engineers to preprocess, clean, and analyze structured and unstructured data for model training and testing.
- Algorithm Optimization: Develop and optimize algorithms for predictive modeling, recommendation systems, natural language processing (NLP), and computer vision.
- Model Deployment: Deploy trained models into production environments using MLOps practices. Monitor and fine-tune models to ensure optimal performance.
- Feature Engineering: Implement effective feature engineering strategies to enhance model accuracy and performance.
- Performance Evaluation: Conduct experiments to evaluate model performance, ensuring scalability and robustness in real-time environments.
- Collaboration: Work with cross-functional teams including software developers, data engineers, and product managers to integrate AI/ML solutions into existing applications.
- Stay Updated: Keep up-to-date with the latest advancements in AI/ML and explore new tools, techniques, and frameworks to enhance the AI/ML landscape within the company.
Required Skills and Qualifications:
- 4+ years of experience in AI/ML model development, deployment, and optimization.
- Proficiency in Python and relevant AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Solid understanding of machine learning algorithms (e.g., regression, decision trees, SVM, clustering) and deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience in data preprocessing techniques, including handling missing data, outlier detection, and data normalization.
- Strong knowledge of NLP techniques or computer vision frameworks is a plus.
- Familiarity with working on cloud platforms like AWS, Google Cloud, or Azure, and deploying AI models in a cloud environment.
- Experience with SQL and NoSQL databases for data storage and retrieval.
- Proficiency in MLOps practices (e.g., model versioning, continuous integration, monitoring, and retraining models).
- Knowledge of using tools for data visualization (e.g., Matplotlib, Seaborn) and model evaluation (e.g., confusion matrix, AUC-ROC, precision-recall).
- Excellent problem-solving skills and the ability to transform complex data into actionable insights.
Preferred Qualifications:
- Experience in building recommendation systems, predictive models, or real-time AI solutions.
- Knowledge of big data technologies (e.g., Hadoop, Spark) for large-scale data processing.
- Familiarity with containerization tools like Docker and orchestration tools like Kubernetes for scalable model deployment.
- Experience with APIs for integrating AI models into existing applications.
What We Offer:
- Competitive salary of ₹8+ Lakh per annum.
- Opportunity to work on cutting-edge AI/ML projects that make a real impact.
- A collaborative and inclusive work environment with opportunities for growth.
- Access to continuous learning and upskilling opportunities.
- Flexible working arrangements and work-life balance.