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7.0 - 11.0 years
0 Lacs
chennai, tamil nadu
On-site
As an Engineer 4, Machine Learning at Comcast, you will be a vital part of our international engineering team, dedicated to transforming innovative ideas into cutting-edge products and solutions that cater to the needs of our customers. At Comcast, we provide an environment that fosters innovation and encourages you to bring your authentic self to work. Your contributions will be valued and recognized, allowing you to showcase your skills and expertise while achieving personal and professional growth. In this senior-level data science role, you will be responsible for leading the design, development, and implementation of advanced time series forecasting models. Your primary focus will be on utilizing various techniques such as ARIMA, Exponential Smoothing, Seasonal Decomposition, Prophet, LSTM networks, and other cutting-edge algorithms to predict future trends based on historical data. Your analytical skills will be put to the test as you thoroughly analyze large volumes of time series data to identify patterns, trends, seasonality, and anomalies. Key Responsibilities: - Design and develop complex time series forecasting models based on business needs - Analyze large volumes of time series data to extract valuable insights - Fine-tune LLM models and prototype solutions for ML/LLM operations - Lead a team of data scientists and engineers working on time series forecasting projects - Provide technical guidance, mentorship, and knowledge transfer to team members To excel in this role, you should possess a Bachelor's Degree and have 7-10 years of relevant work experience. While having a Bachelor's Degree is preferred, Comcast also values applicants with a combination of coursework and experience or extensive related professional experience. At Comcast, we are committed to supporting our employees both personally and professionally. We offer comprehensive benefits that cater to your physical, financial, and emotional well-being, ensuring that you have the support you need to thrive in your career and personal life. If you are a results-driven, adaptable, and inventive individual who thrives in a collaborative team environment, we invite you to fast-forward your career with us at Comcast in Chennai, India.,
Posted 2 days ago
7.0 - 11.0 years
0 Lacs
chennai, tamil nadu
On-site
As an Engineer 4 specializing in Machine Learning at Comcast, you will be a crucial part of our international engineering team. Your primary responsibility will involve designing, developing, and implementing advanced time series forecasting models to predict future trends based on historical data. Your expertise will be pivotal in creating cutting-edge solutions that drive innovation and enhance customer experiences. Key Responsibilities: - Lead the design and development of complex time series forecasting models utilizing various techniques such as ARIMA, Exponential Smoothing, Seasonal Decomposition, Prophet, LSTM networks, and other advanced algorithms tailored to meet business requirements. - Conduct in-depth analysis of large volumes of time series data to identify patterns, trends, seasonality, and anomalies. - Fine-tune LLM models and focus on time series models to optimize performance. - Prototype and create solutions for ML/LLM operations and Applied AI. - Supervise a team of data scientists and engineers dedicated to time series forecasting projects. - Offer technical guidance, mentorship, and knowledge sharing on time series analysis techniques and best practices to team members. At Comcast, we value employees who embody the following principles: - Embrace our Operating Principles as guidelines for your work. - Prioritize the customer experience by consistently putting customers first and providing seamless digital options. - Stay informed and enthusiastic about our technology, products, and services to effectively advocate for them. - Foster teamwork and remain open to new ideas to achieve significant milestones together. - Participate actively in the Net Promoter System, contributing to employee and customer feedback to enhance our services. - Drive results, growth, respect inclusion and diversity, and act in the best interests of all stakeholders. Educational Requirement: Bachelor's Degree While a Bachelor's Degree is preferred, Comcast may also consider candidates with a combination of coursework and experience or significant related professional experience. Relevant Work Experience: 7-10 Years Join us at Comcast and be part of our dynamic team dedicated to revolutionizing the media and technology industry. Fast-forward your career with us and contribute to creating exceptional entertainment and online experiences for millions of customers worldwide.,
Posted 5 days ago
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