Senior Data Science Leader
7 days ago
L&T Technology Services is a forward-thinking organization dedicated to innovating solutions that leverage artificial intelligence to enhance our products and services. As we continue to grow and evolve, we are seeking a skilled Senior AI Analytics professional to join our dynamic team and contribute to exciting projects that drive business growth and improve customer experiences.
OverviewWe are looking for an experienced Senior AI Analytics professional with a strong background in machine learning, deep learning, and data analysis. The ideal candidate will have a Bachelor's or Master's degree in computer science, Data Science, or a related field from premier institutions like IIT / NIT / IIIT / ISI etc. and at least 8-10 years of hands-on experience in designing and implementing machine learning algorithms, including supervised and unsupervised learning techniques.
ResponsibilitiesThe successful candidate will be responsible for:
- Designing and implementing machine learning algorithms to drive business growth and improve customer experiences;
- Developing and maintaining complex data models using various programming languages and tools such as Python, R, and SQL;
- Analyzing and interpreting large datasets to identify trends and insights;
- Collaborating with cross-functional teams to integrate AI solutions into our products and services;
- Staying up-to-date with the latest advancements in AI and machine learning and applying this knowledge to drive innovation within the company.
We offer a competitive salary range of $120,000 - $180,000 per annum, depending on experience, as well as a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
RequirementsTo be considered for this role, you must have:
- A Bachelor's or Master's degree in computer science, Data Science, or a related field from a premier institution;
- At least 8-10 years of hands-on experience in machine learning, deep learning, and data analysis;
- Extensive experience in designing and implementing machine learning algorithms, including supervised and unsupervised learning techniques;
- Proficiency in natural language processing (NLP), deep learning, and reinforcement learning where applicable;
- Experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn);
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) for AI deployment;
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques;
- Good exposure on Deep learning models like MLP, CNN, RNN, LSTM etc.;
- Good Experience in Operational Research models, liner and non-liner programming;
If you are passionate about AI and machine learning and want to be part of a dynamic team driving innovation, please submit your application. We look forward to hearing from you
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