Senior AI Analytics
2 weeks ago
About the Role
L&T Technology Services a forward-thinking organization dedicated to innovating solutions that leverage artificial intelligence to enhance our products and services. We are seeking a skilled Senior AI Analytics to join our dynamic team and contribute to exciting projects that drive business growth and improve customer experiences.
Responsibilities
- Lead and manage multi-disciplinary projects that involve data science, machine learning, and statistical analysis.
- Oversee the end-to-end project lifecycle from problem identification to model development and deployment.
- Understand the Functional specifications & derive AI / ML / Statistical specifications
- Design, develop, and validate complex analytical models and algorithms tailored to achieve specific business objectives.
- Implement machine learning techniques for predictive modeling, classification, and clustering to solve various business challenges.
- Generate actionable insights by analyzing large datasets, identifying trends, patterns, and anomalies that can inform strategic decision-making.
- Create customized dashboards and visualizations that effectively communicate findings to stakeholders at all levels.
- Exploratory Data Analysis with Python, R , Excel or any available statistical platforms to understand the summary statistics, Distribution of the dataset, Outlier detection / detection of influencing observations etc.,
- Data Imputation & Cleansing the data through industry best statistical practices
- Data Collection both internally and from public domains
- Feature engineering, identify the relevant attributes / features
- Collaborate with cross-functional teams, including product management, IT, and operations, to define business requirements and translate them into analytical needs.
- Foster a data-driven culture within the organization by engaging with business units to understand their analytics requirements.
- Monitor the performance of deployed AI models, conducting regular evaluations, and fine-tuning to improve accuracy and efficiency.
- Create comprehensive documentation for design processes, algorithms, and implementation procedures to facilitate knowledge sharing within the team.
- Building the models to solve the industry problems with reasonable accuracy to fit for use in production
- Identify and understand the Diagnostics of Models to know the stability of the model(s) in stressed conditions
- Model deployment under given framework
- Coordinate with our technology partners / vendors to build the best-in-class AI / ML based solutions
- Stay updated with the latest AI trends, research, and technologies, and apply them to enhance existing systems and solutions.
Qualifications/Skills
- Experience:
- Bachelor’s or master’s degree in computer science, Data Science, or a related field from premier institutions like IIT / NIT / IIIT / ISI etc.
- 8-10 years of hands-on experience in machine learning, deep learning, and data analysis.
- Preferable:
- Experience and understanding of government services, Security & Mobility domains
- Experience in Operational Research models (Linear and Non-linear programming)
- Must have skills:
- 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).
- Hands-on experience with analytics and visualization tools such as Tableau, Power BI, or similar platforms.
- Ability to create compelling visual narratives that facilitate data comprehension and decision-making.
- Extensive knowledge on Supervised and Unsupervised learning models
- Experience with machine learning frameworks like TensorFlow, PyTorch, or 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
- Experience in statistical methods and models
- Experience in TEXT analytics in the space of NLP, NLP, POS Tagging
- Exposure to Conversational platform like ChatBots
- Exposure working in GPU environment along with CPU
- Exposure working in both stand-alone and distributed environment
- Exposure working in Physical Data Center and Cloud platforms
- Good Experience in using languages like Python, Spark on Python, R and other statistical / Machine learning languages
- Exposure to BigData / Hadoop environment
- Extensive experience in Model building, Validation / Diagnostics and Deployment
- Experience in working on large volumes of data like Multi Peta bytes and variety of data
- Excellent analytical and critical thinking abilities, enabling effective problem identification and resolution.
- Strong interpersonal and communication skills, with the ability to present complex ideas clearly to technical and non-technical audiences.
- Proven ability to manage multiple projects simultaneously under tight deadlines while maintaining attention to detail.
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