Senior Python or ML Developer with Waymore- AI product-based Company -

We have job opportunity with Waymore-AI Product company in Bangalore for

Senior Python or ML Developer

Interested Candidates pleas apply through the below link

https://conversationalforms.connect.waymore.io/?id=acb50e83-e72b-4224-8062-a4119912814e

(if the link does not work copy and paste on browser)

Instructions to Apply for a Job Position with Waymore (Read before applying)

There are four phases of assessment to complete before the interview is scheduled with the Hiring Manager. (Each phase will take at least 30 minutes, so please ensure you have enough time to complete them before proceeding.)

1. First Phase Discovery Phase

This phase will ask for your basic personal details, such as your name, email, contact number, etc. You'll also need to provide information about your latest education, certifications (if any), professional achievements, language skills, employment status, reason for leaving your last job, job title, work experience, and the companies you've worked for. Additionally, you'll be asked to detail your daily routine by the hour (e.g., what you do at 10 am, 11 am, 12 pm, etc., until 7 pm). Other questions will include your work mode and transportation method.

You'll also need to answer questions regarding KPIs, record a video introduction, respond to technical questions based on the job description, and provide your current compensation details. Finally, you'll need to upload your profile.

Once you submit your profile, you'll receive an automated email confirming whether your qualifications match the job requisition.

To proceed to the second phase, you will receive an email notification for the next assessment step.

2. Second Phase Software Knowledge

This phase will test your software knowledge relevant to the job requisition. It includes multiple-choice technical questions.

To proceed to the Third phase, you will receive an email notification for the next assessment step.

3. Third Phase Pre-qualification

This phase consists of multiple-choice and situational-based technical questions that assess your qualifications for the role.

To proceed to the Fourth phase, you will receive an email notification for the next assessment step.

4. Fourth Phase Qualification

In the final phase, you'll answer a set of technical multiple-choice and situational-based questions to assess your qualifications further.

Once you complete the Fourth Phase, you'll receive an automated email with instructions to schedule the first round of interviews with the Technical Hiring Manager. In the email, you'll be able to view the availability of the technical panel and select a suitable time for your interview.

Same as for Second round with CEO and then HR Interview.

Senior Python or ML Developer

Job Summary

We are seeking a highly skilled Senior Python or ML Developer to join our innovative team at WayMore. This mid-senior level position is based in Gayatri Tech Park (4th floor Plot 183, EPIP, Near iGate, KIADB Industrial A) and offers an exciting opportunity to work on-site with cutting-edge AI and machine learning technologies.

As a Senior Python or ML Developer, you will play a crucial role in developing and implementing advanced AI microservices, optimizing machine learning models, and contributing to the overall growth of our AI capabilities. This position requires a deep understanding of Python development, machine learning frameworks, and a passion for solving complex problems in the realm of artificial intelligence.

The on-site nature of this role allows for close collaboration with our talented team of developers, data scientists, and DevOps professionals. You'll have the opportunity to work in a dynamic environment that fosters innovation and continuous learning. Our state-of-the-art office provides all the necessary tools and resources to support your work, including high-performance computing infrastructure and the latest software development tools.

Key Responsibilities

• Lead the development and implementation of AI microservices using Python and machine learning frameworks
• Design, train, and optimize machine learning models for various business applications
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
• Conduct code reviews and mentor junior developers in best practices for AI and ML development
• Contribute to the architectural design of scalable and efficient AI systems
• Stay abreast of the latest advancements in AI and ML technologies and implement them in our projects
• Participate in the full software development lifecycle, from conception to deployment and maintenance

Essential Duties and Responsibilities

• Develop AI Microservices: Write clean, efficient, and maintainable Python code to build AI microservices that meet business and technical requirements. This involves designing modular and scalable architectures that can handle complex AI tasks while integrating seamlessly with our existing systems.
• Train and Optimize ML Models: Develop, train, and fine-tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Optimize models for inference speed and resource efficiency, ensuring they can perform effectively in production environments with varying workloads.
• Integrate with DevOps Pipelines: Collaborate with the DevOps team to integrate AI microservices into CI/CD pipelines (GitLab CI) and ensure smooth deployment across environments. This includes writing and maintaining deployment scripts, configuring containerization, and implementing monitoring solutions.
• Debug and Troubleshoot: Identify and resolve issues in AI microservices, including performance bottlenecks, deployment failures, and model inaccuracies. Conduct thorough root cause analysis and implement robust solutions to prevent recurring problems.
• Monitor System Performance: Use monitoring tools to track the performance of deployed microservices and machine learning models. Proactively address any anomalies or degradation in performance, and implement automated alerting systems to ensure rapid response to critical issues.
• Collaborate with Teams: Participate in daily stand-ups, sprint planning, and retrospectives to align development efforts with team goals. Work closely with DevOps and other developers to ensure seamless integration of AI services into the broader technology stack.
• Document Code and Processes: Maintain clear and comprehensive documentation for code, models, and deployment processes to ensure reproducibility and knowledge sharing. This includes creating technical specifications, API documentation, and contributing to the team's knowledge base.
• Research and Implement New Technologies: Explore and integrate new tools, libraries, and frameworks to improve the efficiency and capabilities of AI microservices. Stay updated with the latest advancements in AI/ML and propose innovative solutions to enhance our product offerings.
• Design and implement scalable and efficient AI microservices using Python and machine learning frameworks. This involves architecting solutions that can handle increasing data volumes and computational demands while maintaining high performance and reliability.
• Ensure the reliability, performance, and scalability of AI systems through rigorous testing and optimization. Implement comprehensive test suites, including unit tests, integration tests, and stress tests to validate the robustness of AI microservices.
• Contribute to the development of internal tools and libraries that enhance the team's productivity and standardize AI development practices across the organization.
• Mentor junior developers and data scientists, providing guidance on best practices in AI development, code quality, and machine learning methodologies.
• Collaborate with product managers and business stakeholders to translate business requirements into technical specifications for AI features and functionalities.
• Participate in code reviews, providing constructive feedback to team members and ensuring adherence to coding standards and best practices in AI development.
• Contribute to the continuous improvement of development processes, suggesting and implementing enhancements to increase efficiency and code quality.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 6-8 years of professional experience in software development, with at least 3-4 years focused on AI and machine learning
• Strong proficiency in Python programming, including experience with popular AI/ML libraries and frameworks
• Extensive experience in developing and deploying machine learning models in production environments
• Deep understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization technologies (e.g., Docker, Kubernetes)
• Experience with version control systems (Git) and CI/CD pipelines
• Strong problem-solving skills and ability to work independently on complex projects
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
• Proven track record of delivering high-quality, scalable AI solutions in a fast-paced environment
• Experience with agile development methodologies and collaborative tools (e.g., JIRA, Confluence)
• Ability to mentor junior team members and contribute to the growth of the AI development team
• Strong analytical and quantitative skills, with the ability to work with large datasets
• Passion for staying updated with the latest trends and advancements in AI and machine learning

Required Software Knowledge

• Python (advanced level)
• TensorFlow, PyTorch, or Scikit-learn
• SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
• Git and GitLab CI
• Docker and Kubernetes
• Linux/Unix operating systems
• Jupyter Notebooks for data analysis and model prototypingRole & responsibilities

Preferred candidate profile

Perks and benefits