Senior AI Analytics

2 weeks ago

Mumbai, India L&T Technology Services Full time

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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