11+ Motion Design Jobs in Hyderabad | Motion Design Job openings in Hyderabad

Responsibilities

• Employ user-centered design practices to deliver extraordinary interactive game experiences
• Research the latest practices & industry standards from the Top notch games to create world-class immersive experience for players
• Evaluate designs quickly and craft creative high quality work
• Excellent understanding of visual design principles, style guidelines, design processes, and creative workflow
• Develop UI, graphic design, and interaction specifications/guidelines
• Ability to take on design problems independently, present and sell design concepts
• Finding creative ways to solve UX problems.
• Interface, and collaborate with key stakeholders to ensure the user experience reflects player needs and consistency.

Required Skills

• 3-5 years experience in UX Design.
• Expert-level skills in Adobe Photoshop and industry-standard prototyping tools such as Adobe XD, and Figma. 
• Experience in mobile interface design
• Strong portfolio of design projects.
• Hands-on experience or knowledge of Unity 3D and motion design is a plus.
• Excellent written and verbal communication
• Real passion for gaming
• Bachelor’s degree in graphic arts, interaction design, or equivalent industry experience in the design field.

Ready to work without a handbook, with a love for doing what’s never been done before!

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

Looking for MS Dynamics AX Technical Consultant, who can join in 10-15 Days

Hybrid Mode- Bangalore/Hyderabad

1. 6 years of relevant ERP experience with a strong understanding of Microsoft Dynamics AX (in addition to degree or years of previous experience), preferably with a Dynamics AX certification

2. Design, develop, and customize solutions within Microsoft Dynamics AX 2012.

3. Implement AX customizations using X++, MorphX, and SSRS reports.

4. Data Migration: Experience in data migration using DIXF and other data tools

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

We are looking for a Female Sales Executive.

Education - Any discipline with good communication skills.

Skills - Need to be a go-getter and should work towards the target to get leads. Lead generation is the primary measurement.

Experience - Minimum 2 years experience ins Tele sales of high-value products. 

Excellent communication skills

Excellent presentation skills.

The ability to handle pressure and meet deadlines

Quick Learning Ability

JOB DESCRIPTION

Responsible for generating sales with new/existing customers.

Developing opportunities with new customers

Reaching the targets and goals set for your profile.

Establishing, maintaining and expanding your customer base.

Increasing business opportunities through various routes to market

Follow up on the database / leads provided by Company.

Keeping up to date with products and competitors

Meeting With Clients on field

Report on sales activities to top management.

Experience :- 5 +  years

Location :- Bangalore,Hyderabad

•       5 + years of experience in Core  Java, , Spring Boot, Microservices   (Mandatory skills) + AWS added advantage

        Experience building scalable backend systems using REST APIs & NoSQL databases

•       Computer Science fundamentals in algorithm design, problem solving

•       Awareness of Amazon build tools and processes is a big plus

As a Software Engineer at Quince, you'll be responsible for designing and building scalable infrastructure and build applications to solve some very interesting problems in the logistics and finance tech space.

Responsibilities:

• Design and architect solutions on the cloud for various business problems with workflow efficiency and scale in mind.
• Be on the forefront with the business team to learn, understand, identify and translate function requirements into technical opportunities.
• End-to-end ownership - from scoping the requirements to the final delivery of the solution with keen eye to details and quality.
• Build and improve logistics components for this innovative M2C supply-chain model.
• Build and maintain scalable ETL data pipelines.

Requirements:

• Bachelors/Masters/PhD in Computer Science or closely related subject.
• 1-5 years of experience in building software solutions.
• Good at data structures and their practical applications.
• Proficiency in Kotlin, Java, Python.
• Experience in deploying and maintaining applications on cloud platforms (Ex: AWS, Google cloud).
• Proficiency with SQL and databases - relational and/or nosql (Snowflakes, AWS RedShift, etc).
• Experience with messaging middleware such as Kafka is good to have.