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Job Description
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that solve complex business problems. Your typical day will involve collaborating with data scientists, data engineers, and business stakeholders to build scalable ML solutions, optimize model performance, and integrate models into production systems. You will leverage modern ML frameworks and cloud platforms to deliver high-quality, data-driven solutions while continuously improving model accuracy and efficiency. Roles & Responsibilities: Expected to perform independently and become an SME in ML model development and deployment. Required active participation/contribution in team discussions and solution design. Analyze structured and unstructured data to identify patterns and insights. Design, develop, train, and validate machine learning models. Perform feature engineering, data preprocessing, and model optimization. Deploy ML models into production environments and monitor performance. Work closely with data engineering teams for pipeline integration. Contribute in providing solutions to work-related problems. Assist in documentation of model architecture, experiments, and deployment processes. Engage in continuous learning to stay updated with advancements in AI/ML technologies. Professional & Technical Skills: Must To Have Skills: Proficiency in Machine Learning algorithms and concepts. Strong programming skills in Python. Experience with ML libraries/frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras. Good understanding of statistics, probability, and linear algebra. Experience in data preprocessing and feature engineering. Knowledge of SQL and working with large datasets. Experience with model deployment (REST APIs, Docker, CI/CD pipelines). Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred. Strong analytical and problem-solving skills. Additional Information: The candidate should have minimum 5 years of experience in Machine Learning projects. Experience in building and deploying production-grade ML models is preferred. This position is based at our Bengaluru office (hybrid/onsite as per business requirement). A 15 years full time education is required.15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that solve complex business problems. Your typical day will involve collaborating with data scientists, data engineers, and business stakeholders to build scalable ML solutions, optimize model performance, and integrate models into production systems. You will leverage modern ML frameworks and cloud platforms to deliver high-quality, data-driven solutions while continuously improving model accuracy and efficiency. Roles & Responsibilities: Expected to perform independently and become an SME in ML model development and deployment. Required active participation/contribution in team discussions and solution design. Analyze structured and unstructured data to identify patterns and insights. Design, develop, train, and validate machine learning models. Perform feature engineering, data preprocessing, and model optimization. Deploy ML models into production environments and monitor performance. Work closely with data engineering teams for pipeline integration. Contribute in providing solutions to work-related problems. Assist in documentation of model architecture, experiments, and deployment processes. Engage in continuous learning to stay updated with advancements in AI/ML technologies. Professional & Technical Skills: Must To Have Skills: Proficiency in Machine Learning algorithms and concepts. Strong programming skills in Python. Experience with ML libraries/frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras. Good understanding of statistics, probability, and linear algebra. Experience in data preprocessing and feature engineering. Knowledge of SQL and working with large datasets. Experience with model deployment (REST APIs, Docker, CI/CD pipelines). Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred. Strong analytical and problem-solving skills. Additional Information: The candidate should have minimum 5 years of experience in Machine Learning projects. Experience in building and deploying production-grade ML models is preferred. This position is based at our Bengaluru office (hybrid/onsite as per business requirement). A 15 years full time education is required.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.