Machine learning engineer

5 days ago

Gurgaon, India IntraEdge Full time
Website- in 2002 with offices in the US, India, Europe, Canada, and Singapore, we’ve got national and international scope and reach, backed by decades of experience and deep domain expertise. AT HEART, WE ARE A TECHNOLOGY, PRODUCTS AND SERVICES ORGANIZATION. In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative products, solutions, and value for our national and international clients.
Intra Edge's headquarters are in Chandler, Arizona. One of the India headquarters is located in Pune, and another is in Hyderabad. The majority of employees are in various locations across India, such as Bangalore, Delhi, and other cities, but they work from home. Kal Somani is the CEO of Intra Edge.
In addition to providing products and services, Intra Edge also provides consulting services.
Among our products are Truyo, Byndr, and Learn
We handle UK and US projects the same way.
Website
Title: ML Engineer
Location: Gurgaon
Notice period-Immediate or max 10 days
Mode-Hybrid
Experience: 5+yrs
Notice Period-Max 20 Days
About the Role
We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team. You will work at the intersection of software engineering and data science, designing and deploying machine learning models that drive business insights and enhance user experiences. This role requires a passion for cutting-edge technologies and a deep understanding of machine learning systems' end-to-end lifecycle.
Key Responsibilities
- Model Development: Design, develop, and implement machine learning models for various use cases.
- Data Pipeline Management: Build and maintain scalable data pipelines to preprocess, clean, and transform data.
- Model Deployment: Deploy ML models into production environments and monitor their performance over time.
- Optimization: Enhance models for performance, scalability, and cost-efficiency.
- Collaboration: Work closely with cross-functional teams, including data engineers, product managers, and domain experts, to define project goals.
- Evaluation: Conduct experiments and use statistical methods to validate model accuracy and efficacy.
- Documentation: Maintain comprehensive documentation for models, workflows, and processes.
- Stay Updated: Keep up with the latest advancements in AI/ML technologies and implement best practices.
Key Qualifications
- Education: Bachelor's or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Experience: Proven experience in machine learning, data science, or related fields (2+ years preferred).
- Programming Skills: Proficiency in Python, R, or similar languages with experience in libraries like Tensor Flow, Py Torch, or Scikit-learn.
- Mathematics: Strong understanding of linear algebra, calculus, probability, and statistics.
- Tools and Frameworks: Hands-on experience with cloud platforms (AWS, GCP, Azure), data processing frameworks (Spark, Hadoop), and version control systems (Git).
- Problem-Solving: Strong analytical and problem-solving skills with an ability to translate business needs into ML solutions.
- Communication: Effective communication skills to convey technical concepts to non-technical stakeholders
Thanks & Regards,
Divya Dixit
Recruitment Lead
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