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Machine Learning SW Engineer – Applied GenAI IRC241979
| Job: | IRC241979 |
| Location: | Sweden - Gothenburg |
| Designation: | Lead Software Engineer |
| Experience: | 5-10 years |
| Function: | Engineering |
| Skills: | C, Generative AI, Java, Machine Learning |
| Work Model: | Hybrid |
Description:
Description:
Our client is dedicated to building a world-leading center for (Gen) AI and machine learning (ML) technologies in the automotive sector. This includes innovations in smart cabin and smart drive technologies, enhancing the user experience with intelligent in-car systems and
advanced driver assistance systems. The team’s efforts aim to redefine the driving experience through the integration of AI-powered features that improve safety, convenience, and efficiency.
Requirements:
▪ 2+ years of relevant development experience and demonstrated knowledge of machine learning technology (RecSys/NLP/CV).
▪ 4+ years of relevant with data structures, algorithms, and software engineering best practices
▪ Hand on experience in utilizing Generative AI technology in marketing texts, images and videos, familiar with LLMs and model finetuning (instruct tuning, SFT, RLHF, etc.)
▪ Strong proficiency in programming languages such as Python, C/C++, or Java.
▪ Passion for new technologies and proven capability in analysis and problem-solving.
▪ Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. PhD is a plus.
▪ 4 + years of experience designing and/or building distributed systems at scale.
▪ 3 + years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud
▪ Experience in AI frameworks such as LangChain, AutoGPT, AutoGen, MetaGPT, etc.
▪ Prompt Engineering, RAG, Fine-Tuning
▪ Experience in developing and maintaining CI/CD pipelines for application deployment.
▪ A commitment to ethical AI practices and robust security protocols to safeguard application data and user privacy.
▪ Experience of working in Agile environment
Job Responsibilities:
▪ Develop generative AI/ML models, such as GANs, VAEs, and transformers, etc
▪ Develop robust modules for evaluation and drift detection
▪ Develop robust machine learning pipelines and ML Ops procedures to support production processes
▪ Process and transform source data to be used in machine learning pipelines, leveraging distributed computing environments and parallel processing approaches
▪ Develop robust machine learning pipelines and ML Ops procedures to support production processes
▪ Process and transform source data to be used in machine learning pipelines, leveraging distributed computing environments and parallel processing approaches
▪ Ensure reliability, scalability, and fault tolerance of AI systems in production environments.
▪ Stay updated on the latest AI/ML research and advancements in life science and healthcare technology to drive innovation within the company.
▪ Take full ownership and accountability for project deliverables in a fast-paced startup environment.
▪ Collaborate with cross-functional teams including researchers, product managers, and designers to bring new AI-driven features to ensure seamless integration of AI solutions into vehicle architectures and digital
systems.
▪ Focus on building reliable, secure, and scalable systems for AI applications including smart cabin and smart drive technologies.
▪ End-to-End the integration of AI-driven features such as in Navi, recommender systems autonomous and other intelligent in-car systems.
What We Offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.