Senior SDE/ Associate Staff Engineer (Machine)
- Keepers Associates
- 4 to 8 Yrs
- karnataka
- 2 months ago
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Job Description
- Function/Group: Engineering Experience: 4-8 Years Location: India About Tally The pioneers of software product industry in India, we are a technology and innovation led company simplifying the lives of small and medium businesses over the last three decades. With our cutting-edge technology, we have had the privilege to reach over 2.5 million business globally and cater to more than 7 million users in over 100 countries. We are passionate about the SMEs growth and aim to deliver the best for their business through our product innovation and excellence. Our teams develop some of the most ingenious solutions that suit the unique requirements of millions of businesses across the globe. With a market share of 75% in India, we have a strong foothold in the Middle East and are also serving customers in SAARC & APAC, Africa, and North America. Our robust network of 28000+ partners help us deliver unmatched customer experience in sales, support, and services globally. With a sole purpose of Making Everyone Who Touches Tally, Happier, we aim to be the technology fabric that drives the economic growth of the world, by 2030. Culture & Values Over the years, we have nurtured a value-based culture that let individuals follow their lead and support them in their growth journey with us. We value honesty and integrity, prioritize a people-first culture, pursue excellence, and drive impactful innovation with simplicity. Our vision at Tally is to ensure that all employees get access to equal opportunities, with decisions grounded on performance, merit, competence, and potential. We are dedicated to fairness and transparency in our policies. By fostering diversity and equality, we strive to eliminate all forms of discrimination. We are committed to an inclusive leadership where our leaders ensure that our people are empowered to be at their best, professionally, and personally. We take great pride in our work culture which has helped become a proud member of the elite Kincentric Best Employers Club! Engineering: Our Engineering centre is located in Bangalore while our sales offices and partners are spread across the country and specific regions outside India. Our Engineering team consists of highly talented engineers who live a purpose and dream to develop the software that will accomplish our goal To be the technology fabric that drives the economic growth of the world. To build this network of businesses Tally likes to build its own technology stack to deliver the required products. Major components of the stack are highlighted below. Operating system: We use a trimmed-down version of the Linux Database system: An Object-oriented database written by Tally to support single view, replication, distributed and multi-tenancy. Web server & app server: We shall write our own hosting platform that can handle millions of connections per server. Engineering function within Tally is responsible for the Design, Development & Testing of all the delightful and flawless products that we release for our customers. We at Engineering do deep technology innovation to deliver unique experiences and capabilities at scale for simplifying business operations across sectors and segments. What will you own: We are seeking a highly skilled Machine Learning Engineer to join our AI team. This role requires advanced knowledge of machine learning techniques, particularly in the areas of model optimization, scalability, and integration of large language models (LLMs) into AI-driven solutions. The ideal candidate will have extensive experience in building and refining complex machine learning systems while ensuring performance and efficiency at scale. Experience to bring with you: Hands-on experience in machine learning engineering, with a strong focus on building and optimizing AI models. Advanced understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience working with large language models (LLMs) and other advanced deep learning models, integrating them into AI systems to solve complex tasks, and deploying them in production systems. Expertise in data science methodologies, including exploratory data analysis (EDA), statistical analysis, hypothesis testing, and visualization techniques (using libraries like Pandas, NumPy, Matplotlib, Seaborn). Experience in making model optimization techniques, making models more efficient for production environments is essential. Proficiency in working with large datasets, conducting data wrangling, feature engineering, and transforming data for machine learning tasks. Experience with SQL and other data querying tools to extract and manipulate large datasets from various sources (databases, APIs, etc.). Solid knowledge of data preprocessing techniques, including cleaning, normalization, and transformation to ensure data quality and model accuracy. Experience in deploying machine learning models to production, ensuring scalability and performance under high load. Proficiency with tools and platforms for model serving, such as TensorFlow Serving, TorchServe, or custom APIs. Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment and management. Familiarity with containerization (Docker) and CI/CD pipelines for machine learning workflows. Knowledge of model evaluation, monitoring and performance tracking in production environments. Excellent problem-solving skills with a deep understanding of machine learning theory and practical application. Strong communication skills to collaborate effectively with cross-functional teams and articulate technical challenges and solutions. A proactive mindset with a focus on delivering impactful and scalable machine learning systems. What will you be doing Lead the development of machine learning models, focusing on integrating advanced models like LLMs and optimizing them for performance and scalability. Collaborate with data scientists, backend engineers, and other teams to deliver end-to-end AI solutions, ensuring seamless integration of machine learning models with other systems. Continuously monitor the performance of deployed models and work on improving accuracy, speed, and efficiency, ensuring high-quality results at scale. Stay up-to-date with the latest advancements in machine learning, deep learning, and model optimization, and apply these techniques to improve AI-driven solutions. Provide technical leadership to junior engineers, reviewing code, providing guidance, and fostering a culture of knowledge sharing within the team.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Senior SDE/ Associate Staff Engineer (Machine)Contact Details:
Company: Tally SolutionsLocation(s): Karnataka+ View Contact
Keyskills: Machine Learning Scalability Data Science EDA Statistical Analysis Hypothesis Testing NumPy Matplotlib SQL AWS GCP Azure Docker Monitoring Communication Skills AI TensorFlow PyTorch Pandas ProblemSolving
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