391 Deep Learning jobs in Hyderabad

NVIDIA is known as “the AI computing company.” Come, join our Deep Learning team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. We are currently seeking an experienced senior software engineer with strong Deep Learning and System Programming fundamentals coupled with robust C/C++ skills to contribute to the development of NVIDIA Maxine Audio - a comprehensive suite of SDKs, Microservices and APIs that enable AI-driven features for video conferencing, content creation and gaming.

What you’ll be doing:

• Architect and lead development of next-generation Deep Learning and multimedia algorithms for processing of speech and audio applications.

• Train Speech Enhancement models, assess them for quality, performance, and finetune them.

• Analyze model accuracy and bias and recommend the next course of action & Improvements.

• Improve processes for speech data processing, augmentation, filtering & training sets preparation.

• Optimize algorithms for optimal performance on the GPU tensor cores

• Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment

• Influence strategic decisions in the team and product roadmap

• Partner with system software engineers and validation teams to build and ship production-quality code.

What we need to see:

• PH.D./MS in Computer Science or a closely related engineering field with 3+ years of relevant experience

• Strong background in Deep Learning including model design, pruning & performance optimization, transfer learning etc

• 4+ years of experience of leading cross-module projects and taking them to productization

• Strong software engineering background with proficiency in C or C++

• Hands-on expertise with PyTorch, TensorRT, CuDNN and one or more Deep Learning frameworks (Tensorflow, Keras etc)

• Familiarity/expertize with various cloud frameworks e.g. AWS, GCP, Azure is a big plus

• CUDA programming experience is a plus

• Excellent communication and collaboration skills

• Self-motivated and able to find creative practical solutions to problems

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Company Description

LueinAnalytics, founded in 2017, is a pioneer in AI Research and Consulting, offering next-generation AI consulting services. The company helps organizations across diverse industries to implement and optimize Artificial Intelligence and analytics solutions. Luein Analytics combines industry expertise, leading cloud platforms, and data science to deliver transformative outcomes, maximizing the power of data to solve critical challenges.

Role Description

This is a remote internship role for a Computer Vision Deep Learning Intern at Luein Analytics. The intern will be responsible for working on computer vision projects using deep learning techniques. They will collaborate with the team on research, development, and implementation of computer vision algorithms and models.

Duration : 3 months, Full-time (10am-6pm), Remote

Stipend : INR 8000 / month

Qualifications

• Experience with Computer Vision and Deep Learning
• Python programming fluency
• Knowledge of Supervised and Unsupervised Learning, Reinforcement Learning, and Neural Networks
• Familiarity with Image Processing and Computer Vision libraries (e.g - OpenCV, TensorFlow, PyTorch)
• Experience fine-tuning base models like ResNet, EfficientNet, Contrastive learning, for image classifications and image detection tasks.
• Strong programming skills in languages such as Python.
• Understanding of Machine Learning concepts and algorithms
• Ability to work independently and collaboratively in a remote setting
• Pursuing or completed a graduate degree in Computer Science, Artificial Intelligence, or related field

Company Description

LueinAnalytics, founded in 2017, is a pioneer in AI Research and Consulting, offering next-generation AI consulting services. The company helps organizations across diverse industries to implement and optimize Artificial Intelligence and analytics solutions. Luein Analytics combines industry expertise, leading cloud platforms, and data science to deliver transformative outcomes, maximizing the power of data to solve critical challenges.

Role Description

This is a remote internship role for a Computer Vision Deep Learning Intern at Luein Analytics. The intern will be responsible for working on computer vision projects using deep learning techniques. They will collaborate with the team on research, development, and implementation of computer vision algorithms and models.

Duration : 3 months, Full-time (10am-6pm), Remote

Stipend : INR 8000 / month

Qualifications

• Experience with Computer Vision and Deep Learning
• Python programming fluency
• Knowledge of Supervised and Unsupervised Learning, Reinforcement Learning, and Neural Networks
• Familiarity with Image Processing and Computer Vision libraries (e.g - OpenCV, TensorFlow, PyTorch)
• Experience fine-tuning base models like ResNet, EfficientNet, Contrastive learning, for image classifications and image detection tasks.
• Strong programming skills in languages such as Python.
• Understanding of Machine Learning concepts and algorithms
• Ability to work independently and collaboratively in a remote setting
• Pursuing or completed a graduate degree in Computer Science, Artificial Intelligence, or related field

Company Brief

House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. We are hiring on behalf of one of our key US based client - a globally recognized service provider of flexible and scalable outsourced warehousing solutions, designed to adapt to the evolving demands of today’s supply chains.

Currently House of Shipping is looking to identify a high caliber Data Science Lead.

This position is an on-site position for Hyderabad.

Background and experience:

• 15–18 years in data science, with 5+ years in leadership roles
• Proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing
• Strong understanding of statistical learning, ML architecture, productionizing models, and impact tracking

Job purpose:

To lead enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This role blends technical leadership with strategic alignment across business units and manages advanced analytics teams to deliver measurable business impact.

Main tasks and responsibilities:

• Define and drive the data science roadmap across forecasting (demand, returns), route optimization, warehouse simulation, inventory management, and fraud detection
• Architect end-to-end pipelines with engineering teams: from data ingestion, model development, to API deployment
• Lead the design and deployment of ML models using Python (Scikit-Learn, XGBoost, PyTorch, LightGBM), and MLOps tools like MLflow, Vertex AI, or AWS SageMaker
• Collaborate with operations, product, and technology to prioritize AI use cases and define business metrics
• Manage experimentation frameworks (A/B testing, simulation models) and statistical hypothesis testing
• Mentor team members in model explainability, interpretability, and ethical AI practices
• Ensure robust model validation, drift monitoring, retraining schedules, and version control
• Contribute to organizational data maturity: feature stores, reusable components, metadata tracking
• Own team hiring, capability development, project estimation, and stakeholder presentations
• Collaborate with external vendors, universities, and open-source projects where applicable

Education requirements:

Bachelor’s or Master’s or PhD in Computer Science, Mathematics, Statistics, Operations Research

Preferred: Certifications in Cloud ML stacks (AWS/GCP/Azure), MLOps, or Applied AI

Competencies and skills:

• Strategic vision in AI applications across supply chain
• Team mentorship and delivery ownership
• Expertise in statistical and ML frameworks
• MLOps pipeline management and deployment best practices
• Strong business alignment and executive communication

Job Code: BTL-2507105

Job title: Data Science Intern

Experience : Fresher

Mode : Work From Office

Location : Hyderabad

Duration: 6 Months

Stipend : 3 months unpaid and another 3 months paid

Website :

LinkedIn Page:

Responsibilities:

• Assist in the development and implementation of data-driven solutions to complex business problems.
• Conduct data analysis and modelling to identify trends, patterns, and insights.
• Clean, prepare, and process large datasets for analysis.
• Collaborate with cross-functional teams to identify and optimise business opportunities.
• Develop and maintain data pipelines and tools for efficient data ingestion, processing, and visualisation.
• Present findings and recommendations to key stakeholders in a clear and concise manner.
• Stay informed on the latest trends and advancements in the field of data science.

Requirements:

• Should be familiar with NLP, Generative AI, LLMs, RAG (preferable)
• Strong analytical thinking and problem-solving skills.
• Proficiency in programming languages such as Python and R.
• Knowledge of Pandas, Scikit learn, Tensorflow. PyTorch.
• Experience with data preprocessing, cleansing, and validation techniques.
• Familiarity with data visualization tools and libraries.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Attention to detail and ability to handle multiple projects simultaneously.

Education:

• Currently pursuing a Bachelor's or Master's degree in (Data Science / Computer Science / Statistics / or a related field.

Benefits

• Opportunity to learn from experienced professionals.
• Exposure to real-world projects.
• Potential for full-time employment after successful completion of the internship.

About the Role:

We are seeking a highly experienced Voice AI /ML Engineer to lead the design and

deployment of real-time voice intelligence systems. This role focuses on ASR, TTS, speaker

diarization, wake word detection, and building production-grade modular audio processing

pipelines to power next-generation contact centre solutions, intelligent voice agents, and

telecom-grade audio systems.

You will work at the intersection of deep learning, streaming infrastructure, and

speech/NLP technology, creating scalable, low-latency systems across diverse audio formats

and real-world applications.

Key Responsibilities:

Voice & Audio Intelligence:

 Build, fine-tune, and deploy ASR models (e.g., Whisper, wav2vec2.0, Conformer) for

real-time transcription.

Develop and finetune high-quality TTS systems using VITS, Tacotron, FastSpeech for

lifelike voice generation and cloning.

mplement speaker diarization for segmenting and identifying speakers in multi-party

conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral

clustering).

esign robust wake word detection models with ultra-low latency and high accuracy in

noisy conditions.

Real-Time Audio Streaming & Voice Agent Infrastructure:

rchitect bi-directional real-time audio streaming pipelines using WebSocket, gRPC,

Twilio Media Streams, or WebRTC.

ntegrate voice AI models into live voice agent solutions, IVR automation, and AI

contact center platforms.

ptimize for latency, concurrency, and continuous audio streaming with context

buffering and voice activity detection (VAD).

uild scalable microservices to process, decode, encode, and stream audio across

common codecs (e.g., PCM, Opus, μ-law, AAC, MP3) and containers (e.g., WAV, MP4).

Deep Learning & NLP Architecture:

 ilize transformers, encoder-decoder models, GANs, VAEs, and diffusion models, for

speech and language tasks.

mplement end-to-end pipelines including text normalization, G2P mapping, NLP intent

extraction, and emotion/prosody control.

ine-tune pre-trained language models for integration with voice-based user interfaces.

Modular System Development:

uild reusable, plug-and-play modules for ASR, TTS, diarization, codecs, streaming

inference, and data augmentation.

esign APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with

format conversions and buffering.

evelop performance benchmarks and optimize for CPU/GPU, memory footprint, and

real-time constraints.

Engineering & Deployment:

riting robust, modular, and efficient Python code

xperience with Docker, Kubernetes, cloud deployment (AWS, Azure, GCP)

ptimize models for real-time inference using ONNX, TorchScript, and CUDA, including

quantization, context-aware inference, model caching.

n device voice model deployment.

Why join us?

mpactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation

in the industry.

remendous Growth Opportunities: Be part of a rapidly growing company in the

telecom and CPaaS space, with opportunities for professional development.

nnovative Environment: Work alongside a world-class team in a challenging and fun

environment, where innovation is celebrated.

Tanla is an equal opportunity employer. We champion diversity and are committed to

creating an inclusive environment for all employees.