Machine Learning Data Engineer
BlueOptima24 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Solve business problems using advanced machine learning and statistical techniques.
- Explore and analyze large structured and unstructured datasets.
- Design and develop data pipelines and machine learning solutions from initial exploration through production deployment.
- Own end-to-end solutions, including requirements, timelines, estimates, monitoring, issue resolution, and continuous improvement.
- Coordinate with engineering, client-side, and internal development teams to take solutions into production.
- Identify opportunities to apply machine learning across the business and address delivery bottlenecks in skills, technology, and processes.
- Validate assumptions and track the impact of implemented changes using data-driven approaches.
- Support and improve existing machine learning algorithms and approaches.
- Explain technical concepts to non-expert audiences and encourage solution ownership across the team.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or equivalent.
- At least 3 years of experience developing solutions, including at least 2 years using NLP with deep learning preferred.
- Experience with PyTorch, TensorFlow, or Keras; PyTorch is preferred.
- In-depth understanding of machine learning techniques and how to select suitable approaches for structured and ill-structured problems.
- Strong statistical analytics skills and Python programming experience for applications and scripting.
- Experience fine-tuning neural networks, explaining model layers, and designing loss functions and custom metrics is preferred.
- Understanding of word2vec, GloVe, BERT, encoder-decoder architectures, and the Hugging Face library is preferred.
- Experience with software vulnerability management, defensive coding, task automation, relational databases such as PostgreSQL, and data visualization tools is preferred.
- Experience deploying applications through containers using Docker, containerd, and Kubernetes is preferred.
- Strong written and verbal communication, ownership, problem-solving, and process or project management skills.
Benefits
- 33 days of holidays, including public and religious holidays.
- Provident Fund contributions that may be matched above the statutory minimum as agreed.
- Gratuity payments and company-provided private medical insurance for the employee, spouse, children, and parents.
- 12 weeks of paid paternity leave and 6 months of maternity leave.
- Support covering 50% of childcare costs.
- Work-from-home equipment allowance.
- Flexible work-from-home policy with 2 days at home per week.
- Flexible long-distance work for 4 weeks per year.
- Sponsored learning opportunities and team socials.
- Global team environment with training programs, personal development plans, and opportunities for career growth.
Tech Stack
Categories
Data EngineeringML Engineering