11+ Speech recognition Jobs in Hyderabad | Speech recognition Job openings in Hyderabad

• Ensuring the success of new AI products by focusing on scalability, potential biases, and compliance.
• Perform gap analysis on existing business data. Identify new data points.
• Developing business cases for AI in new and existing products.
• Work with executives and business line stakeholders to define the problems to solve with AI.
• Help prioritise and rank the solutions, develop business cases.
• Work closely with UI/UX, engineering and cross-functional teams to deliver with quick time-to-market and optimal products.
• Formulating product requirements and identifying new opportunities with the help of customer feedback, market analysis, and usability studies.
• Drive product launches including working with public relations team, executives, and other product management team members.

• “Problem solving with AI” mindset.
• Proven work experience in product management as an Associate Product/Product Manager.
• Knowledge and experience with Machine Learning and different Voice & Speech AI concepts such as neural networks, natural language processing, speech-to-text conversion clustering techniques, etc.
• Experience defining and developing a new product or service.
• Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management .
• Solid technical background with understanding and/or hands-on experience in software development and web technologies
• Skilled at working effectively with cross functional teams in a matrix organisation.
• MS/BS degree in Computer Science, Engineering or equivalent preferred.

🚀 Hiring: React Native 

⭐ Experience: 5+ Years

📍 Location: Hyderabad

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Looking for an experienced React Native with:-

✅Develop and maintain cross-platform mobile apps using React Native

✅Write clean, efficient, and reusable code

✅Experience with REST APIs, Redux, and app stores

✅Optimize app performance and troubleshoot issues

✅Integrate APIs and third-party libraries seamlessly

We are seeking an experienced and dynamic Corporate Sales Professional with strong expertise in new business development and client acquisition within the insurance broking industry. The ideal candidate should have a proven track record in driving corporate sales, building client relationships, and delivering revenue growth.

Key Responsibilities

• Drive new business acquisition by identifying, approaching, and converting potential corporate clients.
• Develop and execute effective sales strategies for corporate insurance solutions.
• Build and maintain long-term relationships with clients, ensuring superior service delivery.
• Collaborate with internal teams to design tailored insurance solutions for corporate clients.
• Meet and exceed monthly/quarterly/annual sales and revenue targets.
• Monitor market trends, competitor activities, and emerging opportunities in the corporate insurance space.
• Prepare and present proposals, negotiations, and closure of deals with CXOs and decision-makers.
• Ensure compliance with regulatory guidelines and company policies.

Key Requirements

• 7+ years of experience in corporate sales within the insurance broking industry.
• If from an insurance company, must have direct sales (corporate clients) exposure.
• Strong network and established relationships with corporate clients.
• Demonstrated success in new business development & client acquisition.
• Excellent communication, negotiation, and presentation skills.
• Ability to work independently with a target-driven approach.
• Strong understanding of corporate insurance products and solutions.

What We Offer

• Competitive salary with performance-linked incentives.
• Opportunity to work with a reputed and growing insurance broking firm.
• Exposure to diverse industries and corporate clients.
• Career growth and professional development opportunities.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Integration, Processing & Governance

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Implement scalable architectural models for data processing and storage

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 5+ years of IT experience with 3+ years in Data related technologies

2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Cloud data specialty and other related Big data technology certifications

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

• experience in algorithm development with a focus on signal processing, pattern recognition, machine learning, classification, data mining, and other areas of machine intelligence.
• Ability to analyse data streams from multiple sensors and develop algorithms to extract accurate and meaningful sport metrics.
• Should have a deeper understanding of IMU sensors and Biosensors like HRM, ECG
• A good understanding on Power and memory management on embedded platform

•  Expertise in the design of multitasking, event-driven, real-time firmware using C and understanding of RTOS concepts
• Knowledge of Machine learning, Analytical and methodical approaches to data analysis and verification and Python
• Prior experience on fitness algorithm development using IMU sensor
•  Interest in fitness activities and knowledge of human body anatomy

• ELK (Elasticsearch, Logstash Kibana) Administration and Implementation.
• Experience on implementing the Syslog NG on Unix/Linux Platform.
• Experiance in Information/Cyber Security