We are seeking a highly skilled and motivated Machine Learning Engineer to join our talented team of data scientists and engineers. The ideal candidate will possess a strong background in machine learning, deep learning, and statistical analysis. You will be responsible for developing robust and scalable machine learning models that deliver actionable insights and predictive capabilities. You will work closely with cross-functional teams to implement AI-driven solutions that address complex business challenges and enhance the overall user experience.
Responsibilities:
- Research and Development: Explore and stay up-to-date with the latest advancements in Machine Learning Engineer and AI technologies. Conduct research to identify suitable algorithms and approaches for specific use cases.
- Data Preprocessing: Preprocess, clean, and transform raw data into a suitable format for machine learning models. Handle data augmentation and imbalanced datasets to ensure optimal model performance.
- Model Development: Design, build, and fine-tune machine learning models (e.g., supervised, unsupervised, reinforcement learning) that meet business requirements. Implement deep learning architectures for tasks such as image recognition, natural language processing, and sequence analysis.
- Model Evaluation: Develop evaluation metrics and perform rigorous testing to assess the performance and generalization of machine learning models. Conduct A/B testing and cross-validation to validate the models’ effectiveness.
- Feature Engineering: Identify relevant features and optimize feature extraction processes to improve model performance and interpretability.
- Model Deployment: Deploy machine learning models into production environments and monitor their performance. Ensure models are robust, scalable, and capable of handling real-time data.
- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate machine learning solutions into existing products or develop new AI-driven products.
- Continuous Improvement: Continuously improve the performance and efficiency of existing machine learning models. Implement strategies for model retraining and adaptation to evolving data distributions.
- Data Security and Privacy: Ensure compliance with data security and privacy regulations throughout the entire machine learning pipeline.
- Documentation: Maintain comprehensive documentation of the machine learning models, methodologies, and processes.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Proven experience (2 years) in machine learning model development, data analysis, and statistical modeling.
- Proficiency in programming languages such as Python, R, or Java.
- Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with big data processing tools (e.g., Spark, Hadoop) is a plus.
- Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker) is advantageous.
- Solid mathematical and statistical background, including linear algebra, calculus, and probability theory.
- Excellent problem-solving skills and the ability to work independently and in a team-oriented environment.
- Effective communication skills to present findings and explain complex technical concepts to non-technical stakeholders.
Join TIGI HR and be at the forefront of groundbreaking machine learning advancements that drive innovation and shape the future of AI-driven solutions!
At TIGI HR, we are an equal opportunity employer that values diversity and is dedicated to fostering an inclusive environment for all employees.
Our services are available in all major cities including Bangalore, Pune, Mumbai, Gurgaon, Noida, Hyderabad, Ahmedabad, Kolkata, Chennai, Gandhinagar, Indore etc. We have also expanded our wings toward Australia and Canada too.
Also, we do have many jobs for Work From Home (WFH) and on a Remote basis as well.
