Senior Machine Learning Engineer
1 month ago
Job Title: Senior Machine Learning Engineer
Location: Gurgaon / Bengaluru (Hybrid)
Company: [San Francisco-based Startup]
About Us:
We are a cutting-edge startup headquartered in San Francisco, specializing in developing advanced machine learning and AI-driven products. Our mission is to leverage data to build intelligent solutions that revolutionize the user experience. We are looking for a Senior Machine Learning Engineer to join our India team in Gurgaon/Bengaluru and contribute to our innovative projects.
Role Overview:
As a Senior Machine Learning Engineer, you will play a crucial role in designing, developing, and deploying advanced ML/AI models that power our products. You will collaborate closely with cross-functional teams, including product, design, and data engineering, to create scalable and efficient data-driven solutions. Your expertise will directly influence the personalized experience we offer our users and the efficiency of our internal processes.
Key Responsibilities:
- Design and develop large-scale machine learning models, with a focus on personalization and recommendation algorithms.
- Implement and optimize information retrieval and ranking algorithms to enhance the relevance and accuracy of our offerings.
- Stay at the forefront of ML and AI advancements, incorporating the latest tools, frameworks, and libraries into our projects.
- Develop and enhance data, ML, AI, and BI product features to maximize user experience and value delivery.
- Create ML/AI solutions to streamline internal processes, including data ingestion, summarization, and quality control, improving both accuracy and efficiency.
- Collaborate with product and design teams to gather requirements and design robust data-driven solutions.
- Maintain and enhance the existing ML infrastructure, ensuring scalability and reliability.
- Continuously monitor and fine-tune models to achieve optimal performance.
Qualifications:
- Education: B.Tech/B.E./MSc./MBA in Engineering, Mathematics, or Statistics from a top-tier institution.
- Experience: 4+ years of hands-on experience as an ML/AI/NLP Engineer, with a proven track record of working on large-scale models involving both structured and unstructured data.
- Technical Skills:
- Proficiency in Python, SQL, and object-oriented programming.
- Expertise in machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Strong knowledge of statistical methods, machine learning algorithms, AI, and NLP techniques.
- Experience with Git, CI/CD pipelines, Spark, and AWS for deploying and managing ML models.
- Familiarity with data pipelines and big data processing.
- Desirable: Knowledge of Excel, PowerPoint, and Shell scripting.
- Soft Skills:
- Strong problem-solving and quantitative analysis skills.
- Excellent written and verbal communication skills.
- Ability to work independently as well as collaboratively in a team environment.
- Proactive approach to staying updated with the latest industry trends and technologies.
Benefits:
- Competitive salary and performance-based incentives.
- Opportunity to work with a dynamic, global team on innovative projects.
- Flexible working hours and hybrid work model.
- Professional development and learning opportunities.
If you are passionate about leveraging machine learning to solve complex problems and want to be a part of an innovative startup, we would love to hear from you Apply now to join our team.
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