11+ Voice recognition Jobs in Bangalore (Bengaluru) | Voice recognition Job openings in Bangalore (Bengaluru)

CodeCraft Technologies is an award-winning creative engineering company where highly skilled designers and engineers work closely and bring to life, user-focused solutions.

Proven design & development methodologies are leveraged, and the latest technologies are explored, to deliver best-in-class mobile and web solutions. Our success is built on a team of talented and motivated individuals who drive excellence in everything they do. We are seeking a highly skilled and experienced Lead Data Scientist to join our growing team.

Responsibilities:

● Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.

● Develop custom data models and algorithms to apply to data sets.

● Use predictive modeling to increase and optimize the business process and solutions

● Research and development of AI algorithms and their applicability in business-related problems to build intelligent systems.

● Build a Solid Data Science Team: Provide strategic direction for the data science team. Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration and continuous learning.

● Explore the latest technologies in the Data science domain and develop POCs.

● Establish a Technology Partnership with the leading technology providers in the AI/ML space.

● MLOps – Deploy ML solutions to the cloud.

● Collaborate with the content team to produce Tech blogs, case studies, etc.,

Required Skill Set:

● Strong foundational knowledge of data science concepts, machine learning algorithms, and programming skills in Python (and/or R).

● Expertise in Generative AI (GenAI), Large Language Models (LLM), Natural Language Processing (NLP), image processing and/or video analytics

● Proven track record of supporting global clients or internal stakeholders in data science projects.

● Experience in data analytics, descriptive analytics and predictive analytics

● Experience using AI/ML tools available from cloud service providers like AWS/AZURE/GCP including TensorFlow, SageMaker, and Azure ML

● Experience in deploying solutions to the cloud [AWS/Azure/GCP]

● Experience with Data Visualization tools like PowerBI, Tableau

● Proficient in SQL and other database technologies.

● Good understanding of the latest research and technologies in AI.

● Experience working across multiple geographic borders and time zones

● Outstanding communication and presentation skills

Education:

● Graduation/Post-graduation in Computers/Engineering/Statistics from a reputed institute

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis.  

You will be responsible for:

• Developing computer vision algorithms to detect key moments within popular online games
• Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them
• Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games
• Specifying exact requirements for training data sets, and working with analysts to create the data sets
• Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
• Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

• Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis
• Experience using Python, TensorFlow, OpenCV and other computer vision tools
• Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc.
• Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others
• Familiarity with AWS environments
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Skills:

Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets.

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply.

Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.

We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.

Location: Mumbai / Bangalore / Pune / Kolkata

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

• Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
• You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
• Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

• 2-3 year of hands-on experience in speech recognitionbased projects 
• Proven experience as a Speech engineer or similar role 
• Should have experience of deployment on edge devices 
• Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
• Prior proven experience in training and deployment of deep learning models on scale 
• Strong programming experience in Python,C/C++, etc. 
• Working experience with Pytorch and Tensorflow
• Experience contributing to research communities including publications at conferences and/or journals 
• Strong communication skills 
• Strong analytical and problem-solving skills

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred