Job Description

Company Overview:Sandvik Manufacturing Solutions (SMF) is on an exciting growth journey, building the new digital era of manufacturing, and we have the know-how and innovative mindset to develop ideas into pioneering tech solutions. As a business area segment within Sandvik Group, SMF incorporates the three divisions of Design & Planning Automation, Additive Manufacturing and Industrial Metrology.Vaal Triangle Systems Pvt. Ltd., which is part of SMF group, is a leading international group specializing in the development and sale of industrial software solutions.
Our innovative products are utilized by various industries globally, driving efficiency and productivity.
Our R&D center in Pune is crucial to our growth and innovation strategy, and our distribution subsidiaries in the APAC region are key to our market expansion.Job Purpose:The Machine Learning Engineer will play a crucial role in designing, developing, and deploying machine learning models and systems. With 5-10 years of experience in the field, the ideal candidate will have a strong background in machine learning, data science, and software engineering. This role demands expertise in building scalable ML solutions, collaborating with cross-functional teams, and driving the integration of advanced algorithms into real-world applications.Location: Pune, IndiaKey Responsibilities:Model Development and Deployment:

• Design, develop, and implement machine learning models and algorithms to solve complex business problems.
• Optimize and scale models for performance and efficiency in production environments.
• Deploy machine learning models into production systems, ensuring robustness and reliability.

Data Handling and Analysis:

• Analyze large datasets to extract meaningful insights and drive data-driven decision-making.
• Implement data preprocessing, feature engineering, and data augmentation techniques to enhance model performance.
• Collaborate with data engineers to ensure the availability and quality of data pipelines.

Collaboration and Communication:

• Work closely with product managers, data scientists, and software engineers to understand project requirements and deliver innovative solutions.
• Communicate complex technical concepts and results to non-technical stakeholders effectively.
• Provide mentorship and guidance to junior team members and contribute to team knowledge sharing.

Research and Innovation:

• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Explore and evaluate new tools, frameworks, and methodologies to improve existing systems.
• Contribute to the development of best practices and standards for machine learning within the organization.

Performance Monitoring and Improvement:

• Monitor and evaluate the performance of machine learning models in production.
• Identify and troubleshoot issues, and implement improvements to enhance model accuracy and efficiency.
• Conduct experiments and A/B testing to validate model performance and make data-driven adjustments.

Qualifications:

• Education: Bachelor\'s or Master\'s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD is a plus.
• Experience: 5-10 years of experience as a Machine Learning Engineer or in a similar role, with a strong portfolio of successful machine learning projects.

• Technical Skills:

• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of algorithms, data structures, and statistical methods.
• Hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and ML deployment tools (e.g., Docker, Kubernetes).
• Familiarity with version control systems (e.g., Git) and collaborative development practices.
• Soft Skills:

• Excellent problem-solving skills and ability to work independently.
• Strong analytical and quantitative skills, with attention to detail.
• Effective communication skills, with the ability to convey complex technical information to diverse audiences.
• Proven ability to work in a collaborative and fast-paced environment.

How to apply:You may upload your updated profile in Workday against the JR R0069609 through your login, no later than 24th August 2024OrPlease send your application by registering on our site and uploading your CV against the JR R0069609 before 24th August 2024Our recruitment process is open and fair \xe2\x80\x93 we welcome all applicants and evaluate every unique application in line with the specified requirements profile, to find the best match for the position. To learn more about our recruitment process, please visit our career site.

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