Capgemini is hiring for a fresher entry level Machine Learning Engineer role in India

Position:

• Machine Learning Engineer - A

Company:

• Capgemini Automotive

Location:

• Hyderabad, India

Job Type:

• Permanent

Job Mode:

• Full-time, On-site

Job Requisition ID:

• Ref. code 59661-en_US

Years of Experience:

• 0-3 years
  

Company Description:

• Capgemini Automotive is a leading global organization specializing in innovative solutions within the automotive industry.

• With a workforce exceeding 10,001 employees, the company has built a reputation for delivering cutting-edge technologies and services to drive the digital transformation of automotive businesses.

• The company plays a key role in revolutionizing the industry by leveraging emerging technologies, data-driven insights, and strategic collaborations.

• Capgemini Automotive focuses on key areas such as intelligent mobility, connected vehicles, electrification, and software-defined automotive solutions.

• With a mission to reshape the automotive landscape, the company partners with OEMs, suppliers, and technology firms to develop smart, scalable, and efficient solutions.

• The firm fosters an environment of continuous innovation, research, and development to push the boundaries of what is possible in the automotive sector.

• Capgemini's deep expertise in machine learning, artificial intelligence, cloud computing, and IoT enables them to create highly sophisticated automotive systems that improve safety, efficiency, and customer experience.

• The company is committed to sustainability, focusing on energy-efficient technologies and green manufacturing solutions to support the global shift towards eco-friendly transportation.

• Employees at Capgemini Automotive benefit from a diverse and inclusive workplace that encourages collaboration, learning, and professional growth.

• With a strong presence in over 50 countries, Capgemini continues to lead the automotive industry into a new era of digital innovation and transformation.

Profile Overview:

• The Machine Learning Engineer - A will be responsible for developing, implementing, and deploying advanced machine learning models to address complex problems.

• The role requires a strong understanding of data science principles, AI algorithms, and deep learning frameworks.

• The engineer will work closely with cross-functional teams, including software developers, data scientists, and business analysts, to ensure seamless integration of AI-powered solutions.

• A key responsibility includes building scalable and efficient machine learning pipelines that can handle large-scale datasets.

• The candidate should possess expertise in data preprocessing, feature engineering, and model optimization to enhance performance and accuracy.

• Responsibilities also include evaluating ML models, tuning hyperparameters, and improving algorithm efficiency for real-world applications.

• The role involves deploying models into production, ensuring they operate effectively in real-time environments.

• The engineer must collaborate with stakeholders to identify business problems, define objectives, and translate them into machine learning solutions.

• Proficiency in Python, TensorFlow, PyTorch, and cloud computing services is essential for success in this role.

• The ideal candidate should have a passion for AI research and development, staying updated with the latest advancements in the field.

Qualifications:

• A bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

• Strong understanding of mathematical concepts, including linear algebra, probability, and statistics.

• Proficiency in programming languages such as Python, R, or Java for implementing ML models.

• Hands-on experience with machine learning libraries and frameworks, including TensorFlow, Keras, Scikit-Learn, and PyTorch.

• Solid knowledge of data structures, algorithms, and software development best practices.

• Experience in working with structured and unstructured datasets, applying data wrangling and preprocessing techniques.

• Familiarity with big data technologies, such as Hadoop, Spark, and distributed computing frameworks.

• Ability to develop end-to-end machine learning solutions, from data collection to model deployment.

• Expertise in cloud platforms like AWS, Google Cloud, or Azure for building scalable ML applications.

• Strong analytical and problem-solving skills, with a keen eye for optimizing AI-driven solutions

Additional Information:

• Work Environment: The role will be based in Hyderabad, offering a dynamic and collaborative work culture that promotes innovation and learning.

• Career Growth: Employees will have access to continuous learning opportunities, mentorship programs, and internal career advancements.

• Training Programs: Capgemini offers specialized training in machine learning, AI, and cloud computing, enabling engineers to stay ahead in the industry.

• Projects & Innovation: The selected candidate will work on cutting-edge automotive AI projects, contributing to the development of next-generation intelligent systems.

• Diversity & Inclusion: Capgemini fosters an inclusive workplace with equal opportunities for all employees, ensuring a diverse talent pool.

• Compensation & Benefits: Competitive salary packages, performance-based incentives, and comprehensive health benefits.

• Flexible Work Policies: Employees may have access to hybrid work models, depending on project requirements and company policies.

• Research & Development: The company encourages participation in AI conferences, hackathons, and industry collaborations to stay updated with technological advancements.

• Community Engagement: Opportunities to engage in corporate social responsibility (CSR) programs, focusing on AI for social good and sustainability.

• Networking Opportunities: Engineers will collaborate with industry experts, data scientists, and AI researchers to build impactful solutions.

• Security & Compliance: Adherence to ethical AI practices, ensuring transparency, fairness, and compliance with industry standards in AI development.

Please click here to apply.

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