AI ML Engineer

Optimum

AI ML Engineer

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AI ML Engineer

at Optimum

Agency job

via Pluginlive

3 - 14 yrs

₹15L - ₹26L / yr

Chennai, Bengaluru (Bangalore)

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Python

SQL

Company: Optimum Solutions

About the company: Optimum solutions is a leader in a sheet metal industry, provides sheet metal solutions to sheet metal fabricators with a proven track record of reliable product delivery. Starting from tools through software, machines, we are one stop shop for all your technology needs.

Role Overview:

Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
Implementing automated testing platforms, unit tests, and CICD Pipeline
Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
Understanding of container platform, such as Docker

Job Description

We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
You will be responsible for prompting and building use case Pipelines
Perform the Evaluation of all the Gen-AI features and Usecase pipeline

Position: AI ML Engineer

Location: Chennai (Preference) and Bangalore

Minimum Qualification: Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.

Experience: 4-6 years

CTC: 16.5 - 17 LPA

Employment Type: Full Time

Key Responsibilities:

Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
Design and develop prompts suiting project needs
Lead and manage team of prompt engineers
Stakeholder management across business and domains as required for the projects
Evaluating base models and benchmarking performance
Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
Develop, deploy and maintain auto prompt solutions
Design and implement minimum design standards for every use case involving prompt engineering

Skills and Qualifications

Strong proficiency with Python, DJANGO framework and REGEX
Good understanding of Machine learning framework Pytorch and Tensorflow
Knowledge of Generative AI and RAG Pipeline
Good in microservice design pattern and developing scalable application.
Ability to build and consume REST API
Fine tune and perform code optimization for better performance.
Strong understanding on OOP and design thinking
Understanding the nature of asynchronous programming and its quirks and workarounds
Good understanding of server-side templating languages
Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
Integration of APIs, multiple data sources and databases into one system
Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
Understanding fundamental design principles behind a scalable and distributed application
Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
Experience in deploying on Cloud platform like Azure or AWS
Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform

Company: Optimum Solutions

Role Overview:

Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
Implementing automated testing platforms, unit tests, and CICD Pipeline
Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
Understanding of container platform, such as Docker

Job Description

We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
You will be responsible for prompting and building use case Pipelines
Perform the Evaluation of all the Gen-AI features and Usecase pipeline

Position: AI ML Engineer

Location: Chennai (Preference) and Bangalore

Minimum Qualification: Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.

Experience: 4-6 years

CTC: 16.5 - 17 LPA

Employment Type: Full Time

Key Responsibilities:

Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
Design and develop prompts suiting project needs
Lead and manage team of prompt engineers
Stakeholder management across business and domains as required for the projects
Evaluating base models and benchmarking performance
Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
Develop, deploy and maintain auto prompt solutions
Design and implement minimum design standards for every use case involving prompt engineering

Skills and Qualifications

Strong proficiency with Python, DJANGO framework and REGEX
Good understanding of Machine learning framework Pytorch and Tensorflow
Knowledge of Generative AI and RAG Pipeline
Good in microservice design pattern and developing scalable application.
Ability to build and consume REST API
Fine tune and perform code optimization for better performance.
Strong understanding on OOP and design thinking
Understanding the nature of asynchronous programming and its quirks and workarounds
Good understanding of server-side templating languages
Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
Integration of APIs, multiple data sources and databases into one system
Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
Understanding fundamental design principles behind a scalable and distributed application
Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
Experience in deploying on Cloud platform like Azure or AWS
Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform

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Strong understanding of machine learning and deep learning principles and algorithms.
Experience in developing and implementing generative AI models and algorithms.
Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
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Excellent communication and teamwork abilities to collaborate with cross-functional teams.
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Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.
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Advanced Python Skills - Generative AI Experts should have a deep understanding of Python, including its data structures, OOP’s concepts, and libraries such as NumPy and Pandas. They must be able to write clean, efficient, and maintainable code to implement complex AI algorithms.
TensorFlow and Keras Expertise - TensorFlow and Keras are widely used in the AI community for building neural networks and deep learning models. Generative AI Experts should have a thorough understanding of these libraries, including how to design neural network architectures, customize loss functions, and optimize models for performance
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Effective Data Management - One of the most frequent tasks in AI development is managing big datasets. Experts in generative AI should be adept at manipulating data with tools like Pandas and NumPy. To guarantee that the data they use for their models is of the highest caliber, they need also know how to efficiently preprocess and clean data.
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18. Knowledge of Generative Models - Transformers and Attention networks , Generative adversarial network

19.Generative AI Basics and Advanced Concepts

Prompt Engineering - Crafting high-quality prompts is crucial for guiding generative models. Experts should excel in designing prompts that steer the model’s creativity and coherence. They must understand how to fine-tune prompts for tasks like text, image, and music generation.
Attention Mechanisms - Grasping attention mechanisms in models like Transformers, vital for capturing dependencies and context in generative tasks.
Application Development Approaches -Familiarity with integrating generative models into applications is essential. This includes deploying models in mobile apps, web applications, or as APIs. Experts should consider factors such as model size, latency, and scalability during deployment.
Fine-Tuning - Mastery of techniques like fine-tuning language models (e.g., GPT-3) for specific tasks. This involves adjusting model parameters and prompts to generate contextually relevant and accurate outputs.
RAG (Retrieval-Augmented Generation) - Understanding RAG, a framework that combines generative models with retrieval mechanisms. Experts can use RAG to improve model responses by retrieving relevant information from a large dataset. Proficiency in chaining multiple generative models together to create more complex and diverse outputs. This involves connecting models in a sequence to generate outputs that build upon each other.
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Company: Optimum Solutions

Position: Generative AI Lead

Location: Chennai (Preference) and Bangalore

Minimum Qualification: Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.

Experience: 10-12 years

CTC: 33LPA

Employment Type: Full Time

Key Responsibilities:

Utilize advanced machine learning techniques to develop and train generative AI models.
Collaborate with cross-functional teams to groom and preprocess large datasets for model training.
Research and implement cutting-edge algorithms and architectures for generative AI applications.
Optimize model performance and scalability for real-time inference and deployment.
Stay current with industry trends and advancements in generative AI technology to drive innovation.
Experiment with different hyperparameters and model configurations to improve generative AI model quality.
Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
Choose suitable DL algorithms, software, hardware and suggest integration methods.
Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards
To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery
Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.
Coach and mentor our team as we build scalable machine learning solutions
Strong communication skills and an easy-going attitude
Oversee development and implementation of assigned programs and guide teammates
Carry out testing procedures to ensure systems are running smoothly
Ensure that systems satisfy quality standards and procedures
Build and manage strong relationships with stakeholders and various teams internally and externally,
Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders

Skills and Qualifications:

Strong understanding of machine learning and deep learning principles and algorithms.
Experience in developing and implementing generative AI models and algorithms.
Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
Ability to work with large datasets and knowledge of data preprocessing techniques.
Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
Experience in building and deploying generative AI systems in real-world applications.
Strong problem-solving and critical thinking skills for complex AI problems.
Excellent communication and teamwork abilities to collaborate with cross-functional teams.
Proven track record of delivering innovative solutions using generative AI technologies.
Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.
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Foundation Models- Open-Source , Mistral,Llama , Proprietary , GPT-4
Compute Hardware- Specialized hardware for model training and inference, Specialized hardware for model training and inference
Programming Proficiency -

Advanced Python Skills - Generative AI Experts should have a deep understanding of Python, including its data structures, OOP’s concepts, and libraries such as NumPy and Pandas. They must be able to write clean, efficient, and maintainable code to implement complex AI algorithms.
TensorFlow and Keras Expertise - TensorFlow and Keras are widely used in the AI community for building neural networks and deep learning models. Generative AI Experts should have a thorough understanding of these libraries, including how to design neural network architectures, customize loss functions, and optimize models for performance
Debugging and Optimization - Solving complicated problems is a common part of developing generative AI models. Experts must be adept in debugging methods, such as logging and profiling data to find and address problems quickly. They should also know how to optimize code for memory efficiency and performance, which will help the models manage large-scale datasets
Effective Data Management - One of the most frequent tasks in AI development is managing big datasets. Experts in generative AI should be adept at manipulating data with tools like Pandas and NumPy. To guarantee that the data they use for their models is of the highest caliber, they need also know how to efficiently preprocess and clean data.
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17. Deep Learning Expertise - Neural Networks , Convolutional Neural Network , Recurrent Neural Network

18. Knowledge of Generative Models - Transformers and Attention networks , Generative adversarial network

19.Generative AI Basics and Advanced Concepts

Prompt Engineering - Crafting high-quality prompts is crucial for guiding generative models. Experts should excel in designing prompts that steer the model’s creativity and coherence. They must understand how to fine-tune prompts for tasks like text, image, and music generation.
Attention Mechanisms - Grasping attention mechanisms in models like Transformers, vital for capturing dependencies and context in generative tasks.
Application Development Approaches -Familiarity with integrating generative models into applications is essential. This includes deploying models in mobile apps, web applications, or as APIs. Experts should consider factors such as model size, latency, and scalability during deployment.
Fine-Tuning - Mastery of techniques like fine-tuning language models (e.g., GPT-3) for specific tasks. This involves adjusting model parameters and prompts to generate contextually relevant and accurate outputs.
RAG (Retrieval-Augmented Generation) - Understanding RAG, a framework that combines generative models with retrieval mechanisms. Experts can use RAG to improve model responses by retrieving relevant information from a large dataset. Proficiency in chaining multiple generative models together to create more complex and diverse outputs. This involves connecting models in a sequence to generate outputs that build upon each other.
Multimodal Generation - Ability to generate outputs across multiple modalities (e.g., text and images), requiring integration of different generative models.

Senior Python Engineer

Company founded by ex Samsung management professionals

Agency job

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₹10L - ₹15L / yr

Python

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SQL

API

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1. Design and Development: Lead the design and development of web

applications using Python and Flask, ensuring code quality, scalability, and

performance.

2. Architecture: Collaborate with the architecture team to design and implement

robust, maintainable, and scalable software solutions.

3. API Development: Develop RESTful APIs using Flask to support front-end

applications and external integrations.

4. Database Management: Design and optimize database schemas, write efficient

SQL queries, and work with databases like PostgreSQL, MySQL, or NoSQL

solutions.

5. Testing and Debugging: Write unit tests and perform code reviews to maintain

code quality. Debug and resolve complex issues as they arise.

6. Security: Implement security best practices, including data encryption,

authentication, and authorization mechanisms.

7. Performance Optimization: Identify and address performance bottlenecks in

the application, making improvements for speed and efficiency.

8. Documentation: Maintain clear and comprehensive documentation for code,

APIs, and development processes.

9. Collaboration: Collaborate with cross-functional teams, including front-end

developers, product managers, and QA engineers, to deliver high-quality

software.

10. Mentorship: Provide guidance and mentorship to junior developers, sharing your

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Qualifications:

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

field.

Proven experience (4-5 years) as a Python developer, with a strong emphasis on

Flask.

Solid understanding of web development principles, RESTful APIs, and best

practices.

Proficiency in database design and SQL, as well as experience with database

systems like PostgreSQL or MySQL.

Familiarity with front-end technologies (HTML, CSS, JavaScript) and related

frameworks is a plus.

Strong problem-solving skills and the ability to work in a fast-paced, collaborative

environment.

Excellent communication skills and the ability to work effectively in a team.

Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes)

is a plus.

Key Responsibilities:

1. Design and Development: Lead the design and development of web

applications using Python and Flask, ensuring code quality, scalability, and

performance.

2. Architecture: Collaborate with the architecture team to design and implement

robust, maintainable, and scalable software solutions.

3. API Development: Develop RESTful APIs using Flask to support front-end

applications and external integrations.

4. Database Management: Design and optimize database schemas, write efficient

SQL queries, and work with databases like PostgreSQL, MySQL, or NoSQL

solutions.

5. Testing and Debugging: Write unit tests and perform code reviews to maintain

code quality. Debug and resolve complex issues as they arise.

6. Security: Implement security best practices, including data encryption,

authentication, and authorization mechanisms.

7. Performance Optimization: Identify and address performance bottlenecks in

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Strong problem-solving skills and the ability to work in a fast-paced, collaborative

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Excellent communication skills and the ability to work effectively in a team.

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Software Engineer - Frontend

at Kwalee

3 candid answers

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Posted by Zoheb Ahmed

Bengaluru (Bangalore)

2 - 6 yrs

Best in industry

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Job Title - Software Engineer - Frontend
Reports Into - Lead Frontend Web Developer
Location - Hybrid / Bangalore

A Little Bit About Kwalee….

Kwalee is one of the world’s leading multiplatform game developers and publishers, with well over 900 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. We also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe.

What’s In It For You?

Hybrid working - 3 days in the office, 2 days remote/ WFH is the norm
Flexible working hours - we trust you to choose how and when you work best
Profit sharing scheme - we win, you win
Private medical cover - delivered through BUPA
Life Assurance - for long term peace of mind
On site gym - take care of yourself
Relocation support - available
Quarterly Team Building days - we’ve done Paintballing, Go Karting & even Robot Wars
Pitch and make your own games on https://www.kwalee.com/blog/inside-kwalee/what-are-creative-wednesdays/">Creative Wednesdays!

Are You Up To The Challenge?

As a Software Engineer - Frontend you’ll be part of the Frontend team, implementing beautiful web designs made by our designers to keep both our site and the internal web-based tools we use fresh and up to date on top of working on new projects alongside this, there is always something new and interesting to work on.

Your Team Mates

The frontend team consists of both our frontend developers and designers, we work closely with all parts of the business to create tools that vary across the whole company, from the publishing team to create a portal for people to submit games, the marketing team on things like our website, all the way to our internal teams for things like administration and analytics.

What Does The Job Actually Involve?

Implementing designs for our website/web tools created by our design team
Create and update interactive interfaces used throughout the company

Your Hard Skills

Minimum 2 years browser-based programming experience
A proven track record of programming high quality and innovative web pages using Javascript, HTML5 & CSS3 and relevant frameworks (ideally ReactJS but could also be others e.g. AngularJS, NodeJS, Handlebars, jquery, gulp)
An excellent working knowledge of various programming languages, databases and scripting tools including at least one of bash, MySQL, CouchBase, Python, Java, C#, JSP, PHP
A creative mindset motivated by challenges and constantly striving for the best
Interest in mobile games

Your Soft Skills

Kwalee has grown fast in recent years but we’re very much a family of colleagues. We welcome people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances, and all we ask is that you collaborate, work hard, ask questions and have fun with your team and colleagues.

We don’t like egos or arrogance and we love playing games and celebrating success together. If that sounds like you, then please apply.

A Little More About Kwalee

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts.

Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle.

We have an amazing team of experts collaborating daily between our studios in Leamington Spa, Lisbon, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, Cyprus, the Philippines and many more places around the world. We’ve recently acquired our first external studio, TicTales, which is based in France.

We have a truly global team making games for a global audience, and it’s paying off: - Kwalee has been voted the Best Large Studio and Best Leadership Team at the TIGA Awards (Independent Game Developers’ Association) and our games have been downloaded in every country on earth - including Antarctica!

Job Title - Software Engineer - Frontend
Reports Into - Lead Frontend Web Developer
Location - Hybrid / Bangalore

A Little Bit About Kwalee….

What’s In It For You?

Hybrid working - 3 days in the office, 2 days remote/ WFH is the norm
Flexible working hours - we trust you to choose how and when you work best
Profit sharing scheme - we win, you win
Private medical cover - delivered through BUPA
Life Assurance - for long term peace of mind
On site gym - take care of yourself
Relocation support - available
Quarterly Team Building days - we’ve done Paintballing, Go Karting & even Robot Wars
Pitch and make your own games on https://www.kwalee.com/blog/inside-kwalee/what-are-creative-wednesdays/">Creative Wednesdays!

Are You Up To The Challenge?

Your Team Mates

What Does The Job Actually Involve?

Implementing designs for our website/web tools created by our design team
Create and update interactive interfaces used throughout the company

Your Hard Skills

Minimum 2 years browser-based programming experience
A proven track record of programming high quality and innovative web pages using Javascript, HTML5 & CSS3 and relevant frameworks (ideally ReactJS but could also be others e.g. AngularJS, NodeJS, Handlebars, jquery, gulp)
An excellent working knowledge of various programming languages, databases and scripting tools including at least one of bash, MySQL, CouchBase, Python, Java, C#, JSP, PHP
A creative mindset motivated by challenges and constantly striving for the best
Interest in mobile games

Your Soft Skills

We don’t like egos or arrogance and we love playing games and celebrating success together. If that sounds like you, then please apply.

A Little More About Kwalee

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About KAFQA

At Kafqa, we are building the next generation performing arts platform. Our mission is to transform how India learns, performs & watchers performing arts. We are currently in stealth mode with a target public launch date in April. Our launch services consist of technology enabled dance classes in our proprietary studios, production facilities and social media broadcasting & competitions.

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The founder is Shariq Plasticwala. He is a graduate of IIT Bombay & Stanford GSB. He was part of the founding team of Amazon India where he played a key role for over 8 years. Among his roles at Amazon, he was the CEO of Amazon’s first joint venture in India and a Board Member of Amazon’s payments business. The other members of the founding team consist of senior executives from Shiamak Davar & Byju’s.

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Here’s are some of the things you might have to do on any given day:

Implement responsive and performant UIs with user centered approach with frontend technologies including ReactJS, Javascript(ES 6), Typescript, SCSS, etc
Write meaningful test cases for frontend &amp
Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc

Ideal Background / Experience

At least 12 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
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In-depth exposure to technologies used in web-based SaaS products, including REST APIs
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About KAFQA

Founder & Team

Role

We are looking for an experienced Frontend engineer with ReactJS development experience to join our team.
Here’s are some of the things you might have to do on any given day:

Implement responsive and performant UIs with user centered approach with frontend technologies including ReactJS, Javascript(ES 6), Typescript, SCSS, etc
Write meaningful test cases for frontend &amp
Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc

Ideal Background / Experience

At least 12 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
Expertise in programming using Python/ReactJS or similar scripting languages
In-depth exposure to technologies used in web-based SaaS products, including REST APIs
Sound understanding of Postgres and NoSQL databases such as MongoDB

Nice to have exposure to any of

AWS
Azure
ELK
Object Relational Models (SQLAlchemy, etc)
Google APIs
Microservices Architecture Pattern
NodeJS / ExpressJS

UI Developer

at ControlCase

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Remote, Mumbai

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₹5L - ₹12L / yr

JSS

Javascript

Bootstrap

HTML/CSS

PHP

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· 3-5 years professional experience in designing and developing web portals and large-scale web applications.

· Must have strong hands-on experience of implementing Web application using JavaScript, JQuery, DOM, HTML5, CSS 3.0, LESS/SCSS, Bootstrap.

· Experience with server side development and templating using TWIG, PHP, Python or similar language.

· Strong grasp and experience with responsive web design and latest version of Bootstrap.

· Experience with cross-browser and cross-platform (Desktop, Mobile, etc.) development and testing.

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· Solid familiarity with modern front-end build pipelines and tools.

· Ability to understand business requirements and translate them into technical requirements. Previous experience with Version control with Git.