Machine learning engineer

2 days ago

Bengaluru, India Recro Full time
Our Client is looking for Proficient in Python, Tensor Flow, Py Torch, scikit-learn, Pandas; experienced in AI and ML model development, integration, deployment; familiar with Docker, Kubernetes, CI/CD tools, AWS/Azure/GCP; strong in data structures, algorithms, system design; and knowledgeable in SQL, Postgre SQL, and No SQL databases.
Responsibilities:
- Model Development and Integration: Design, implement, test, integrate, and deploy scalable machine learning models, integrating them into production systems and APIs to support existing and new customers.
- Experimentation and Optimization: Lead the design of experiments and hypothesis testing for product feature development; monitor and analyze model performance and data accuracy, making improvements as needed.
- Cross-Functional Collaboration: Work closely with cross-functional teams across India and the US to identify opportunities, deploy impactful solutions, and effectively communicate findings to both technical and non-technical stakeholders.
- Mentorship and Continuous Learning: Mentor junior team members, contribute to knowledge sharing, and stay current with best practices in data science, machine learning, and AI.
Requirements:
- Education: Bachelors or Masters in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- 4-7 years of experience building and deploying machine learning models.
- Strong problem-solving skills with an emphasis on product development.
- Experience operating and troubleshooting scalable machine learning systems in the cloud.
Technical Skills:
- Programming and Frameworks: Proficient in Python with experience in Tensor Flow, Py Torch, scikit-learn, and Pandas; familiarity with Golang is a plus; proficient with Git and collaborative workflows.
- Software Engineering: Strong understanding of data structures, algorithms, and system design principles; experience in designing scalable, reliable, and maintainable systems.
- Machine Learning Expertise: Extensive experience in AI and machine learning model development, including large language models, transformers, sequence models, causal inference, unsupervised clustering, and reinforcement learning.
- Knowledge of prompting techniques, embedding models, and RAG.
- Innovation in Machine Learning: Ability to design and conceive novel ways of problem-solving using new machine learning models.
- Integration, Deployment, and Cloud Services: Experience integrating machine learning models into backend systems and APIs; familiarity with Docker, Kubernetes, CI/CD tools, and Cloud Services like AWS/Azure/GCP for efficient deployment.
- Data Management and Security: Proficient with SQL and experience with Postgre SQL; knowledge of No SQL databases; understanding of application security and data protection principles.
Methodologies and Tools:
- Agile/Scrum Practices: Experience with Agile/Scrum methodologies.
- Project Management Tools: Proficiency with Jira, Notion, or similar tools.
Soft Skills:
- Excellent communication and problem-solving abilities.
- Ability to work independently and collaboratively.
- Strong organizational and time management skills.
- The high degree of accountability and ownership.
Nice-to-Haves:
- Experience with big data tools like Hadoop or Spark.
- Familiarity with infrastructure management and operations lifecycle concepts.
- Experience working in a startup environment.
- Contributions to open-source projects or a strong Git Hub portfolio.
Proficient in Python, Tensor Flow, Py Torch, scikit-learn, Pandas; experienced in AI and ML model development, integration, deployment; familiar with Docker, Kubernetes, CI/CD tools, AWS/Azure/GCP; strong in data structures, algorithms, system design; and knowledgeable in SQL, Postgre SQL, and No SQL databases.

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