ML Engineer

5 years

4 - 8 Lacs

Posted:1 month ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

At Payoda, we have created an ecosystem that stands on the fundamentals of teamwork, compassion, excellence, and a tireless appetite for growth. We work every day to ensure our passion is fueled by purpose - to bring forth the best of solutions for our partners and bring life to their vision. With creativity, skill, and hard work in the room, Payodians never shy away from a challenge. Join a team that rises at the intersection of human ingenuity and technology. At Payoda, we believe in creating a work environment that is focused on integration, synergy, and comfort. This encompasses our values and culture that drives employees to be entertained, energized and engrossed, and enlightened. We believe in impact and work to deliver the same to our team and members, all day and every day. If you choose to be a part of our high functioning, ambitious, and happy team – you will have access to the various benefits that we believe make a comfortable workspace. Flexibility With a hybrid work policy in place, we believe the flexibility will allow our teams to perform at their best. Work-Life Balance We never shy away from fun and always pursue any opportunity to have a great time. With games, events, and outings – there’s never a dull day at work. Continuous Learning Upskilling is a priority at Payoda and everyone is offered the opportunity to learn and develop their skill sets at work. We encourage our teams to not just think – but learn outside the box too. Leadership Mentoring Leaders at Payoda come with expertise across multiple industries and technologies. Our transparent work culture offers a platform to anyone seeking mentorship and guidance. Skills: Machine Learning, TensorFlow, PyTorch/ Scikit-learn. Experience: 5 + Yrs Location: Chennai/ Bangalore/ Coimbatore A global company in innovation, Payoda is at the frontline of Digital Transformation to enable enterprises across the industries in the bleeding edge technology areas of cloud, advanced analytics, and User Experience. Join us to be part of the disruptive journey! Does the challenge of driving decisions in a dynamic environment excite you? Do you love solving complex business problems? Are you seeking an environment where you can drive innovation? Are you a passionate self- starter? If the answer to the above questions is a resounding “YES”, we have found each other! Job Location: Chennai/Bangalore/Coimbatore Years of Exp: 5+ Years What’s the role all about? Collect, process, and clean large data sets from various sources. Design machine learning systems Apply statistical analysis and machine learning techniques to solve complex business problems. Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Visualize data and present findings to stakeholders using data visualization tools. Verify and deploy programs and systems Troubleshoot, debug and upgrade the existing systems What’s it going to take? Bachelor’s Degree in Computer Science from a four-year college or university or related experience and/or training; or equivalent combination of education and experience. 5 to 8 years experienced Knowledge of Python and SQL. Understanding of data structures, data modelling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with LLMs and Proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib. Experience in using Jupyter notebooks to collaborate on research is a plus Familiarity with Agile software development methodology Nice to Have: Experience in docker and K8s deployments Experience in AWS/GCP Experience with Network technologies Let’s celebrate work! Join us!

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