Content Writer

Experience and Expertise

● 7– 10 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Skills

● Strong analytical and debugging skills with the ability to solve complex problems.

● Good communication and collaboration skills across teams.

● Ability to work independently with minimal supervision while being a strong team

player.

● Growth mindset – eagerness to learn new technologies

Company Description

KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.

Role Description

This is a full-time on-site role for an Assistant Professor in the Computer Science and Engineering (CSE) department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.

Qualifications

Strong knowledge in Computer Science and Engineering subjects

Experience in teaching at the undergraduate and graduate levels

Research skills and the ability to guide student projects

Excellent written and verbal communication skills

Proficiency in curriculum development and academic assessment

Master's degree in Computer Science, Engineering, or a related field

Experience in the use of digital tools and teaching technologies is an advantage

Commitment to continuous improvement and professional development

Requirements

• Extensive and expert programming experience in at least one general programming language (e. g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.
• Experience with multi-threading and concurrency programming.
• Extensive experience in object-oriented design skills, knowledge of design patterns, and a huge passion and ability to design intuitive modules and class-level interfaces.
• Excellent coding skills - should be able to convert the design into code fluently.
• Knowledge of Test Driven Development. Good understanding of databases (e. g. MySQL) and NoSQL (e. g. HBase, Elasticsearch, Aerospike etc).
• Strong desire to solve complex and interesting real-world problems.
• Experience with full life cycle development in any programming language on a Linux platform. Go-getter attitude that reflects in energy and intent behind assigned tasks.
• Worked in a startup-like environment with high levels of ownership and commitment.
• BTech, MTech or Ph. D. in Computer Science or related technical discipline (or equivalent).
• Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amounts of data.
• 3+ years of experience in the art of writing code and solving problems on a large scale.
• An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

• Use markup languages like HTML to create user-friendly web pages
• Maintain and improve website
• Optimize applications for maximum speed
• Design mobile-based features
• Collaborate with back-end developers and web designers to improve usability
• Get feedback from, and build solutions for, users and customers
• Write functional requirement documents and guides
• Create quality mockups and prototypes
• Help back-end developers with coding and troubleshooting
• Ensure high quality graphic standards and brand consistency
• Stay up-to-date on emerging technologies

• Proven work experience as a Front-end developer
• Hands on experience with markup languages
• Experience with JavaScript, CSS and jQuery
• Familiarity with browser testing and debugging
• In-depth understanding of the entire web development process (design, development and deployment)
• Understanding of layout aesthetics
• Knowledge of SEO principles
• Familiarity with software like Adobe Suite, Photoshop and content management systems
• An ability to perform well in a fast-paced environment
• Excellent analytical and multitasking skills
• BSc degree in Computer Science or relevant field

About the Role

Dremio’s SREs ensure that our internal and externally visible services have reliability and uptime appropriate to users' needs and a fast rate of improvement. You will be joining a newly formed team that will spearhead our efforts to launch a cloud service. This is an opportunity to join a very fast growth startup and help build a cloud service from the ground up.

Responsibilities and Ownership

• Ability to debug and optimize code and automate routine tasks.
• Evangelize and advocate for reliability practices across our organization.
• Collaborate with other Engineering teams to support services before they go live through activities such as system design consulting, developing software platforms and frameworks, monitoring/alerting, capacity planning and launch reviews.
• Analyze and optimize our core product by developing and implementing reliability and performance practices.
• Scale systems sustainably through automation and evolve systems by pushing for changes that improve reliability and velocity.
• Be on-call for services that the SRE team owns.
• Practice sustainable incident response and blameless postmortems.

Qualifications

• 6+ years of relevant experience in the following areas: SRE, DevOps, Cloud Operations, Systems Engineering, or Software Engineering.
• Excellent command of cloud services on AWS/GCP/Azure, Kubernetes and CI/CD pipelines.
• Have moderate-advanced experience in Java, C, C++, Python, Go or other object-oriented programming languages.
• You are Interested in designing, analyzing and troubleshooting large-scale distributed systems.
• You have a systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• You have a great ability to debug and optimize code and automate routine tasks.
• You have a solid background in software development and architecting resilient and reliable applications.