Highlights
Collaborate on innovative ML projects, work with cutting-edge technologies, and contribute to sustainable energy solutions.
Description
Job Summary
pWe are looking for a talented AI/Machine Learning Engineer to join our dynamic team. You will work on developing and maintaining machine learning models that drive business outcomes, collaborating closely with data scientists, software engineers, and product managers.
Responsibilities
- Build and maintain ML pipelines (data preprocessing, training, evaluation, inference).
- Support development of NLP workflows under guidance.
- Contribute to backend APIs for exposing ML/AI functionalities.
- Integrate AI models into applications and support deployment activities.
- Write clean, modular, and testable Python code following best practices.
Required Skills
- Data preprocessing
- Machine learning model development
- Natural Language Processing (NLP)
- Python programming
- Cloud platform experience
Required Skills Explained
- Strong programming skills in Python, including experience with libraries such as NumPy, Pandas, scikit-learn, or PyTorch/TensorFlow.
- Basic understanding of machine learning concepts, natural language processing (NLP), and model evaluation techniques.
- Familiarity with AI/ML pipeline processes, including data preprocessing, training, evaluation, and inference stages.
- Experience or academic background in working with RAG-based workflows and NLP tasks such as text cleaning, parsing, chunking, and embeddings.
- Knowledge of backend APIs development using frameworks like FastAPI for exposing ML/AI functionalities.
- Familiarity with cloud platforms such as AWS or Azure for model deployment and management.
- Understanding of version control systems, particularly Git, for collaborative code management.
Who is this for
pThis role is ideal for candidates with a strong background in AI/ML, excellent problem-solving skills, and an ability to collaborate effectively across teams. A bachelor's degree in computer science or related field is preferred.
Why This Job is a Good Opportunity
ulliOpportunity to contribute to groundbreaking machine learning solutions that drive business outcomes and support the energy transition.liCollaboration with diverse cross-functional teams, providing a holistic understanding of product development cycles.liAccess to cutting-edge technology and a commitment to innovation within one of the world's leading energy companies.liA supportive environment that encourages continuous learning and professional growth through ongoing training and development opportunities.liCompetitive compensation package, including comprehensive medical insurance and family coverage benefits.
Interview Preparation Tips
- Review your Python code portfolio or projects related to machine learning and NLP to showcase your skills during the interview.
- Prepare examples of how you have solved complex problems using machine learning techniques, especially in the context of data preprocessing and model evaluation.
- Prioritize understanding the organization's mission and its commitment to innovation in renewable energy technologies.
- Demonstrate your ability to work collaboratively by providing examples from past projects that highlight teamwork and communication skills.
- Be prepared to discuss current trends in AI/ML, including Generative AI concepts like LLMs and RAG systems, if relevant to the position.
Career Growth in This Role
pThis role offers significant opportunities for career growth as an AI/Machine Learning Engineer. With a strong foundation in Python programming and machine learning, you can advance into more specialized roles such as Senior Machine Learning Engineer or Data Science Lead. The position also provides avenues to explore leadership positions by demonstrating expertise in managing larger projects and leading cross-functional teams.pContinuous learning is encouraged through ongoing training programs, which allows you to stay updated with the latest advancements in AI/ML and Generative AI technologies. This role can serve as a stepping stone towards becoming a key player in the development of innovative solutions that transform the energy sector.
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Skills
Frequently Asked Questions
What are the required qualifications?A bachelor's degree in computer science or a related field, along with 0-3 years of experience in AI/ML.
Is cloud platform experience necessary?Exposure to cloud platforms like AWS or Azure is preferred but not mandatory.
What kind of support will I receive during the project?You will work closely with senior engineers and cross-functional teams, receiving guidance and support throughout your projects.
