Advanced AI and Machine Learning Engineer

1 day ago

Hyderabad, Telangana, India Bristol Myers Squibb Full time

Position Overview:

Bristol Myers Squibb is a global biopharmaceutical company that is inspired by a single vision – transforming patients' lives through science. In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer.

Salary: $180,000 - $250,000 per annum, depending on experience.

Job Description:

We are seeking an experienced Senior Software Engineer specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. As a key member of our software engineering group, you will play a pivotal role in designing, developing, and deploying advanced machine learning models and AI solutions.

Key Responsibilities:

  • Design, develop, and implement machine learning models and AI algorithms to solve complex business problems.
  • Implement Retrieval-Augmented Generation (RAG): Design and develop systems that combine retrieval-based methods with generative models to enhance the accuracy and relevance of AI-generated content.
  • Utilize Vector Embeddings: Develop and optimize vector embeddings for various applications, including semantic search, recommendation systems, and natural language understanding.
  • Leverage Large Language Models (LLMs): Integrate and fine-tune ChatGPT or similar large language models to create conversational AI solutions, enhancing user interactions and automating customer support.
  • Build backend APIs in Python and collaborate with Front End Engineers to integrate them with Web Applications.
  • Collaborate with other engineers to understand requirements and deliver high-quality solutions.
  • Optimize and fine-tune machine learning models for performance, scalability, and accuracy.
  • Conduct research and stay up-to-date with the latest advancements in AI and ML technologies.
  • Mentor and guide junior engineers, providing technical leadership and fostering a culture of continuous learning.
  • Participate in code reviews, design discussions, and contribute to best practices for software development.
  • Develop and maintain documentation for AI/ML models, algorithms, and processes.
  • Work with large datasets, perform data preprocessing, feature engineering, and model evaluation.
  • Deploy and monitor machine learning models in production environments, ensuring reliability and robustness.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5 to 7 years of experience in software engineering with a focus on AI and ML.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
  • Solid understanding of machine learning algorithms, data structures, and software design principles.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
  • Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Experience with version control systems (e.g., Git) and agile development methodologies.

Benefits:

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services, and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Why You Should Apply:

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion, and integrity bring out the highest potential of each of our colleagues.

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