About Syncron Careers 2024
Syncron accelerates leading manufacturers and distributors to capitalize on the world’s new service economy. We enable the optimization of service quality and delivery, yielding increased customer loyalty while helping our customers transition successfully to future service-driven business models. With more than $3 billion in annual value creation across OEMs and distributors in automotive, construction, mining, agriculture and industrial equipment, medical device, consumer durables, high tech, aerospace and other industries, Syncron connects and synchronizes every aspect of aftermarket service.
Syncron Careers 2024 Details
| Company Name | Syncron |
| Job Role | Machine Learning Engineer |
| Job Type | Full Time |
| Job Location | Bangalore |
| Education | M.Sc/PhD |
| Career Level | 0 – 1 Years |
| Salary | Not Mentioned |
| Company Website | www.syncron.com |
Job Description For Syncron Careers 2024
You will join a team of talented and friendly Data Scientists in Machine Learning Operation (MLOPs) and AI (Artificial Intelligence) as a Data Science Squad member. Team develops state-of-the-art Machine Learning-powered services for automated Supply Chain Optimisation, Pricing strategy improvements, and Service Lifecycle Management including Generative AI-powered Knowledge management and warranty claim fraud detection and more. Team is performing full MLOps cycles from customer pain discovery to production including:
What would you do?
- Work closely with researchers on all the stages MLOps including DS-Ops (Research and spikes), Data-Ops (Data discovery, Feature selection and engineering) and Model-Ops (build, test and ship production-grade models).
- Work in cross-functional teams to research, build and deliver the most efficient AI/ML powered solutions for our client problems including Knowledge base, Supply Chain optimization and Fraud Detection.
- Research design, implement, and deploy machine learning models and algorithms that address specific challenge within after-market, supply chain and price domains.
- Collaborate with team-members and clients globally to understand project requirements, objectives, and constraints.
- Process and analyse datasets to extract meaningful insights and features for model development.
- Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products
- Optimize and standardize ML training and validation processes, data warehousing and pipelines.
- Add automation, drift detection, logging, version control and testing pipelines to the MLOps architecture.
Who you are?
- Understanding standard Machine Learning algorithms (like decision trees, neural networks, clustering, and support vector machines).
- You have good knowledge and experience of Python.
- You have deep experience with scientific libraries and frameworks such as NumPy, TensorFlow, Kubeflow, Keras, Scikit Learn, OpenCV.
- Practical industry experience deploying and maintaining ML systems in production.
- Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Experience working on Gen AI, LLM, knowledge base and supply chain related projects
- Experience deploying MLOps solutions and working within CI/CD frameworks
- Experience with Linux systems and cloud infrastructure (AWS, etc.)
- Experience developing embedded ML applications
- Technically curious about the emerging AI innovations.
- Capable of testing using frameworks such as PyTest.
The icing on the cake:
- Ideally an MSc or PhD in either one of Artificial Intelligence, Computer Science or Applied Mathematics.
- Experience working on Gen AI, LLM, knowledge base and supply chain related projects
- Knowledge of Kubernetes and Docker.
- Familiarity with different image and video data format.
- Familiar with designing, building and troubleshooting distributed and scalable systems.
- Experience in building and maintaining cloud-hosted services on AWS.
- Experience working with MLOps users and data scientists to analyse data,
- Ability to slice and dice big data with SQL using python.
- Experience working with Dag execution workflow engines like airflow, Kubeflow, etc.
- Experience with big data tools: Spark, EMR.
- Has done feature engineering with Python scientific libraries,
- Experience in running machine learning models in AWS cloud.
- Knows about model drift and data drift and how does it affect inferences.
- Managed to deliver scalable inferences.
- Understands platform thinking perspective for delivering machine learning use cases for product teams.
Syncron Careers 2024 Application Process
- Eligible candidates are advised to open online Apply Link ( Link given bellow).
- This link will open on new tab on your browser
- Read carefully above job description and double click to apply online
- Fill all your academic qualification, skill experience and other mandatory details.
- Upload your resume.
- Check the details before submitting.
- If you are shortlisted, details will be shared through e-mail or phone call
- interview and Venue details also will be shared to shortlisted candidates through e-mail.
- Note : Apply the job before link Expires
DOUBLE CLICK TO APPLY ONLINE !
We wish you the best of luck in your Syncron Careers 2024. May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work.
