BCG or Boston consulting group is hiring a entry level machine learning engineer in multiple location check your and apply
Role Overview: Machine Learning Engineer at BCG
Responsibilities:
As a Machine Learning Engineer at BCG , you will be at the forefront of AI/ML innovation, responsible for:
1. Technology Stack Building: Develop technology stacks for AI/ML use cases from concept to production deployment.
2. Data Pipelines: Build data pipelines, enabling the ingestion of both structured and unstructured data for model training.
3. Generative AI: Create Generative AI pipelines and technology stacks, including orchestration, prompt engineering, fine-tuning, and more.
4. Production Deployment: Deploy AI/ML models into production and build API layers for seamless application integration.
What You’ll Bring (Experience & Qualifications)
1. proficiency in Python programming language, knowledge of other languages.
2. such as R, Java would be a plus.
3. Knowledge of various AI/ML models including deep learning models.
4. Knowledge of Generative AI stack – Large Language Models / Foundation Models, vector databases, orchestration stack.
5. Hand on experience in building AI orchestration with frameworks like LangChain.
6. Knowledge of vector databases e.g., Pinecone, Chroma etc.
7. Deep understanding of data processing frameworks e.g., Data Bricks, Airflow etc.
8. Knowledge of API frameworks Django, Flask etc.
9. Understanding of cloud data & AI stack on AWS / Azure / GCP is preferred.
Additional Qualities BCG is Seeking: In addition to the technical qualifications, BCG is looking for candidates who possess:
1. Innovative Thinking: A creative and innovative mindset to contribute to groundbreaking AI/ML solutions.
2 .Collaborative Spirit: Ability to work collaboratively in a cross-functional team and contribute ideas to the overall innovation process.
3. Continuous Learning: Eagerness to stay updated on emerging technologies and industry trends.
Why Join BCG:
1. Global Impact: Work on projects that have a global impact and contribute to solving the most pressing challenges.
2. Innovation: Be part of an environment that encourages innovation and pushes the boundaries of technology.
3. Professional Growth: Access continuous learning opportunities and develop your skills in a collaborative and diverse setting.
How to Apply: Click here to apply
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