11+ Natural Language Toolkit (NLTK) Jobs in Hyderabad | Natural Language Toolkit (NLTK) Job openings in Hyderabad

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

Hello,

This mail is regarding for the positions of Embedded Application Development (Automotive domain). Check the client details and job description mentioned below.

If you are interested please respond back and revert to me.

• Role : Embedded Application Development
• Location : Hyderabad
• Fulltime.

Job Description :

NOTE: Pls look for candidates somebody who can take up the L1& L2 in this week itself.

Hand on experience in Automotive Embedded Software development using Embedded C

· Hand on experience in Microcontrollers

· Hands on experience in ClearCase or any configuration management tool will be added an advantage.

· Good in Autosar will be added an advantage.

· Knowledge on MISRA standards and tools

· Knowledge on Functional safety concepts, ISO 26262

· Good Experience of software development lifecycle

· Knowledge of the performance of reviews and review-techniques

· Good communication skills as well as the ability to work in a team.

As we discussed, please reply that you confirm the submittal to the client ZF for Embedded Development.

Full Name (First Name & Last Name)

Contact#

Email id

LinkedIn

Notice Period

Current Location

Willing to Relocate

Education

Current Company

Skill

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References:

Role: Associate - Employer Branding

Experience: 1-3 years

Location: Hyderabad

Technovert is not a typical IT services firm. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.

We are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of the problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice.

We have a strong heritage built on great people who put customers first and deliver exceptional results with no surprises - every time. We partner with you to understand the interconnection of user experience, business goals, and information technology. It's the optimal fusing of these three drivers that delivers

Responsibilities:

• Drive Technovert’s Employee Value Proposition and talent attraction strategy externally and internally.
• Infuse human element into all communications to personify the brand and demonstrate an emotional connect with employees.
• Drive brand evangelists network internally by working in collaboration with Marketing, HR & Talent Acquisition leaders on employee branding, campaigns, programs, and events to boost pride amongst associates.
• Promote employee referral programs to foster referrals.
• Plan and execute campaigns to maintain the company's positioning on social media platforms like LinkedIn, Instagram, YouTube, and Facebook.
• Design email marketing campaigns to promote positive referrals on job portals like Glassdoor, Naukri and Ambition Box.
• Expand the company's online presence on different employment sites, developing creative ways to draw prospective employees to the company's website and identifying new recruitment opportunities through social media.
• Developing employer branding event concepts - online and in person.
• Organizing employer branding material.

Must have:

• Sound understanding of brand management strategies.
• Great interpersonal communication to influence and prepare speakers.
• Hands-on experience with social media management.
• Strategic thinking and problem-solving skills.
• Strong communications and organizational skills.
• Meticulous attention to detail.
• Multi-tasker with a strong work ethic.
• Creativity.

Nice to Have:

•   Presence on Social Media platforms.
•   Understanding of E-mail Marketing.

Qualification: 

MBA/PGDM with majors/minors in Marketing.

• Explore new business potential with all present and past clients.
• Responsible for overall Business and Revenue Growth of the Organization and its subsidiaries.
• Liasoning  with both junior and senior level officers in the Govt.
• Excellent Business communication skills.
• Client facing interactions /Communication / Updates
• Prepare the:

1. Marketing plan for the Organization and the products/Services
2. Brand positioning of the Company and its services
3. Competitor analysis

• Leads generation as per the Marketing and Revenue plan

1. Manage Lead generation sources
2. Cold Call as required
3. Meet prospects and build traction about the company and its services/offerings
4. Understand the current trends in the market pertaining to the domains in which the company operates

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases