Data Scientist

Job Title : AI/ML Engineer (Python)

Location : Gurgaon

Experience : 5+ Years and 10+ Years

Role Overview :

We are seeking highly skilled AI/ML Engineers with expertise in Python to join our team in Gurgaon. The ideal candidates will have 5+ Years or 10+ Years of experience in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities :

• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements :

Educational Qualification : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience :

• For 5+ Years : Proven expertise in AI/ML development with hands-on project experience.
• For 10+ Years : Advanced expertise in AI/ML with a track record of leading complex projects and mentoring teams.

Technical Skills :

• Strong programming skills in Python.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data processing tools such as Pandas and NumPy.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
• Knowledge of NLP, computer vision, or deep learning techniques is a plus.
• Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

Soft Skills :

• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration skills.
• Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications :

• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits :

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.

Job Description:

Required Skills

• Experience-4+ years
• Strong backend engineering fundamentals.
• Good understanding of system design concepts for scalable and reliable applications.
• Hands-on experience with at least one backend language such as Golang, Node.js, Java, Rust, Python, or similar.
• Strong understanding of REST APIs, service design, authentication, authorization, and API security.
• Good knowledge of database design, indexing, query optimisation, transactions, and data consistency.
• Experience with SQL databases such as PostgreSQL, MySQL, or similar.
• Understanding of NoSQL databases, caching systems, and when to use them.
• Experience working with Redis or similar caching technologies.
• Understanding of message queues, event-driven architecture, asynchronous processing, and background jobs.
• Ability to reason about memory management, garbage collection, concurrency, and runtime behaviour.
• Experience debugging performance issues in backend systems.
• Good understanding of high TPS systems, load testing, horizontal scaling, and bottleneck analysis.
• Familiarity with containerisation using Docker.
• Working understanding of Kubernetes-based deployments, preferably EKS.
• Understanding of CI/CD pipelines and cloud deployment practices.
• Good communication skills and ability to explain technical decisions clearly.

Good to Have Skills

• Experience with microservices architecture.
• Experience with AWS services, especially EKS, RDS, SQS, CloudWatch, ElastiCache, API Gateway, or Lambda.
• Understanding observability tools such as Prometheus, Grafana, Loki, Tempo, Open Telemetry, or similar.
• Experience with distributed tracing and production monitoring.
• Experience with event streaming platforms such as Kafka.
• Knowledge of security best practices around JWT, OAuth2, RBAC, secrets management, and secure API design.
• Experience designing systems for high availability and fault tolerance.
• Exposure to infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience mentoring junior engineers or reviewing technical designs.

Role & responsibilities:

1. Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs.
2. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems.
3. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets.
4. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models.
5. Design and optimize AI prompts for content generation, customer support, and business analytics.
6. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration.
7. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements.
8. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage.

Preferred candidate profile:

• Bachelors/Masters in Computer Science, AI/ML, or related field.
• Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn.
• Hands-on experience with LLMs, prompt engineering, and model fine-tuning.
• Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer).
• Experience in workflow automation tools (e.g., Crew AI, LangChain).
• Knowledge of REST APIs, microservices, and containerization.
• Analytical mindset with a focus on process improvement.

Perks and benefits:

• Competitive Salary and Professional development opportunities and training.
• Opportunity to work with cutting-edge technologies in a fast-paced environment.
• Collaborative and supportive work environment.

Job Summary:

We are hiring a Data Scientist – Gen AI with hands-on experience in developing Agentic AI applications using frameworks like LangChain, LangGraph, Semantic Kernel, or Microsoft Copilot. The ideal candidate will be proficient in Python, LLMs, and prompt engineering techniques such as RAG and Chain-of-Thought prompting.

Key Responsibilities:

• Build and deploy Agent AI applications using LLM frameworks.
• Apply advanced prompt engineering (Zero-Shot, Few-Shot, CoT).
• Integrate Retrieval-Augmented Generation (RAG).
• Develop scalable solutions in Python using NumPy, Pandas, TensorFlow/PyTorch.
• Collaborate with teams to deliver business-aligned Gen AI solutions.

Must-Have Skills:

• Experience with LangChain, LangGraph, or similar (priority given).
• Strong understanding of LLMs, RAG, and prompt engineering.
• Proficiency in Python and relevant ML libraries.

Nice-to-Have:

• Wrapper API development for LLMs.
• REST API integration within Agentic workflows.

Qualifications:

• Bachelor’s/Master’s in CS, Data Science, AI, or related.
• 4–7 years in AI/ML/Data Science, with 1–2 years in Gen AI/LLMs.

• Job Title - DevOps Engineer

• Reports Into - Lead DevOps Engineer

• Location - India

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 DevOps Engineer you have a passion for automation, security and building reliable expandable systems. You develop scripts and tools to automate deployment tasks and monitor critical aspects of the operation, resolve engineering problems and incidents. Collaborate with architects and developers to help create platforms for the future.

Your Team Mates

The DevOps team works closely with game developers, front-end and back-end server developers making, updating and monitoring application stacks in the cloud.Each team member has specific responsibilities with their own projects to manage and bring their own ideas to how the projects should work.  Everyone strives for the most efficient, secure and automated delivery of application code and supporting infrastructure.

What Does The Job Actually Involve?

• Find ways to automate tasks and monitoring systems to continuously  improve our systems.

• Develop scripts and tools to make our infrastructure resilient and efficient.

• Understand our applications and services and keep them running smoothly.

Your Hard Skills

• Minimum 1 years of experience on a dev ops engineering role

• Deep experience with Linux and Unix systems

• Networking basics knowledge (named, nginx, etc)

• Some coding experience  (Python, Ruby, Perl, etc.)

• Experience with common automation tools (Ex. Chef, Terraform, etc)

• AWS experience is a plus

• A creative mindset motivated by challenges and constantly striving for the best 

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 Responsibilities:

Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture.

• Provide software development plans that meet future needs of clients and markets
• Evolve the new software platform and architecture by introducing new components and integrating them with existing ones
• Perform memory, cpu and resource management
• Analyze stack traces, memory profiles and production incident reports from traders and support teams
• Propose fixes, and enhancements to existing trading systems
• Adhere to release and sprint planning with the Quality Assurance Group and Project Management
• Work on a team building new solutions based on requirements and features
• Attend and participate in daily scrum meetings

Required Skills:

•  JavaScript and Python
• Multi-threaded browser and server applications
• Amazon Web Services (AWS)
• REST