Published: Fri, 15 Nov 2024 10:50:51 GMT
Position: Senior Machine Learning Engineer
Location: [Company Name]
About Us:
[Company Name] is a leading [industry/field] company that is revolutionizing the way businesses solve complex problems using machine learning. We are seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team and help us continue our growth and success. This is a great opportunity to work in a fast-paced, innovative environment and be a part of a collaborative and diverse team.
Key Responsibilities:
– Design, develop, and deploy cutting-edge machine learning models, including Large Language Models (LLMs) and foundational models, to solve real-world business challenges.
– Collaborate closely with product managers and software engineers to align machine learning solutions with business goals and user needs.
– Partner with engineering teams to integrate models into production pipelines and ensure scalability, performance, and reliability.
– Build and maintain efficient data pipelines using Python, SQL, and cloud technologies.
– Fine-tune and optimize PyTorch-based models and work with standard LLM/foundational model libraries (e.g., Hugging Face, LangChain).
– Conduct experiments to validate new approaches and monitor model performance in production environments.
– Utilize cloud platforms such as AWS, Databricks, and Snowflake to manage resources, deploy models, and maintain model artifacts.
– Stay up-to-date with the latest advancements in machine learning, LLMs, and foundational models to continually improve solutions.
Qualifications:
– Bachelor’s degree or equivalent with 2-4 years of relevant experience. Master’s degree preferred.
– Hands-on experience with LLMs, foundational models, and associated libraries (e.g., Hugging Face).
– Strong programming skills in Python and proficiency with SQL. Experience with Apache Spark is a plus.
– Expertise in PyTorch and familiarity with other frameworks for building and deploying machine learning models.
– Experience working with cloud computing environments, such as AWS, Databricks, and Snowflake.
– Knowledge of ML deployment best practices and versioning tools.
– Strong problem-solving skills with a passion for continuous learning and staying ahead of new technologies.
– Excellent collaboration and interpersonal skills; ability to work effectively in a team-oriented, cross-functional environment.
– (Optional) Experience or familiarity with the advertising industry or related technologies is a plus.
Why Join Us:
– Innovative Environment: Work with cutting-edge technologies in a fast-paced, innovative environment.
– Career Growth: Opportunities for professional development and career advancement.
– Collaborative Culture: Join a diverse and inclusive team that values collaboration and creativity.
– Competitive Compensation: Attractive salary and competitive benefits package.
– Inclusive Workplace: Be a part of a culture of inclusiveness that celebrates diversity.
To Apply:
If you are a collaborative team player, passionate about machine learning innovation, and eager to create impact with advanced AI solutions, we would love to hear from you. Please submit your resume and cover letter to [contact info] and we will be in touch to schedule an interview. Thank you for considering [Company Name] as your next career move. Apply link
