Hi We are Looking foe Data Science AI Professional role for our KPHB, Hyderabad Branch Requirements:
• Min 6 months to 1 Year experience in Data Science AI
• Need to have proven Experience with Good GitHub profile and projects
• Need to good with Data Science & AI Concepts
• Need to be good with Python, ML, Stats, Deep Learning, NLP, OpenCV etc
• Good Communication and presentation skills
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We are looking for
A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
Mentor and coach other team members
Evaluate the performance of NLP models and ideate on how they can be improved
Support internal and external NLP-facing APIs
Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioral Skills
Strong analytical and problem-solving capabilities.
Proven ability to multi-task and deliver results within tight time frames
Must have strong verbal and written communication skills
Strong listening skills and eagerness to learn
Strong attention to detail and the ability to work efficiently in a team as well as individually
Hands-on experience with
NLP
Deep Learning
Machine Learning
Python
Bert
Someone who has strong industrial experience in NLP for a period of 2+ years. Experienced in applying different NLP techniques to problems such as text classification, text summarization, question &answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques. In-depth exposure to some of the Tools/Techniques: SpaCy, NLTK, Gensim, CoreNLP, NLU, NLG tools etc. Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. Desirable to have demonstrated capability to integrate NLP technologies to improve chatbot experience. Exposure to frameworks like DialogFlow, RASA NLU, LUIS is preferred. Contributions to open-source software projects are an added advantage.
Experience in analyzing large amounts of user-generated content and process data in large-scale environments using cloud infrastructure is desirable
Responsibilities:
- Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets.
- Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
- Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
- Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
- Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead.
Requirements:
- 3+ years work experience with production-grade python- preferably contribution to open source repost.
- Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
- Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
- Some working experience with TensorFlow or PyTorch is preferred.
- Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.
About Us
We are an AI-Powered CX Cloud that enables enterprises to transform customer experience and boost revenue with our APIs by automating and analyzing customer interactions at scale. We assist across multiple voices and non-voice channels in 30+ languages whilst coaching and training agents with minimal costs.
The problem we are solving
In comparison to worldwide norms, customer support in traditional contact centers is quite appalling, due to a high number of queries, insufficient capacity of agents and inane customer support systems, businesses struggle with a multi-fold rise in customer discontent and bounce rate, resulting in connectivity failure points between them and customers. To address this issue, IITian couple Manish and Rashi Gupta founded Rezo's AI-Powered CX Cloud for Enterprises 2018 to help businesses avoid customer churn and boost revenue without incurring financial costs by providing 24x7 real-time responses to customer inquiries with minimal human interaction
Roles and Responsibilities :
- Speech Recognition model development across multiple languages.
- Solve critical real-world scenarios - Noisy channel ASR performance, Multi speaker detection, etc.
- Implement and deliver PoC's /UATs products on the Rezo platform.
- Responsible for product performance, robustness and reliability.
Requirements:
- 2+ years Experience with Bachelors's/Master degree with a focus on CS, Machine Learning, and Signal Processing.
- Strong knowledge of various ML concepts/algorithms and hands-on experience in relevant projects.
- Experience in machine learning platforms such as TensorFlow, and Pytorch and solid programming development skills (Python, C, C++ etc).
- Ability to learn new tools, languages and frameworks quickly.
- Familiarity with databases, data transformation techniques, and ability to work with unstructured data like OCR/ speech/text data.
- Previous experience with working in Conversational AI is a plus.
- Git portfolios will be helpful.
Life at Rezo.AI
- We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our regular town hall meetings.
- A highly inclusive work culture that promotes a relaxed, creative, and productive environment.
- Practice autonomy, open communication, and growth opportunities, while maintaining a perfect work-life balance.
- Go on company-sponsored offsites, and blow off steam with your work buddies.
Perks & Benefits
Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentor-ship
Get the best in class medical insurance, programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)
Why Us?
We are a fast-paced start-up with some of the best talents from diverse backgrounds. Working together to solve customer service problems. We believe a diverse workforce is a powerful multiplier of innovation and growth, which is key to providing our clients with the best possible service and our employees with the best possible career. Diversity makes us smarter, more competitive, and more innovative.
Explore more here
http://www.rezo.ai/">www.rezo.ai
2-5 yrs of proven experience in ML, DL, and preferably NLP.
Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.
𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐰𝐨𝐫𝐤 𝐨𝐧?
𝟏) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.
𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫?
𝟏) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
𝟐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
𝟑) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
𝟒) Expertise in RNN, LSTM, and other neural network architectures.
𝟓) DL frameworks: Tensorflow, Pytorch, Keras
𝟔) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
𝟕) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
𝟖) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.
𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐮𝐬?
𝟏) We offer Competitive remuneration.
𝟐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
𝟑) We offer flexibility to choose your tools, methods, and ways to collaborate.
𝟒) We always value and believe in new ideas and encourage creative thinking.
𝟓) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
𝟔) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
In 2020, Renew Power, India’s largest renewables developer, acquired Climate Connect. Following ReNew’s listing on NASDAQ in summer 2021, Climate Connect has become the technology anchor of a new fully independent subsidiary - Climate Connect Digital. With backing from ReNew as the anchor investor to pursue an ambitious and visionary new strategy for rapid organic and inorganic growth.
Our mission has technology at its core and involves unlocking value through intelligent software, digitalisation, and ‘horizontal integration’ across the energy ecosystem. However, computational power and machine learning in the energy sector have yet to be fully leveraged and can create massive value.
We are looking for people with knowledge of:
● Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
● Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields
● Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
● Extensive experience with Python and SQL for software development, data analysis, and machine learning
● Experience on Libraries: TensorFlow, Keras, Numpy, sklearn, pandas, scikit-image, matplotlib, Jupyter, Statsmodels
● Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH
● Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis
● Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)
● Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
● Aptitude and experience in applied statistics and machine learning techniques
● Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
● Experience launching production-quality machine learning models at scale e.g. dataset construction, preprocessing, deployment, monitoring, quality assurance
● Experience with math programming is an added advantage. For example: optimization, computational geometry, numerical linear algebra, etc.
What you’ll work on:
We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touchpoints. We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:
● Translating high-level problems and key objectives into granular model requirements.
● Defining acceptance criteria that are well structured, detailed, and comprehensive.
● Developing and testing algorithms using our price forecasts, and customers' energy portfolio.
● Collaborating with the software engineering team in deploying the developed models tailored to specific customer needs.
● Participating in the software development process, and doing the required testing, and debugging to support the deployed models.
● Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.
● Driving the response to the discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.) as needed
Experience:
● 6-11 years of experience in the field of Data Sciences or Machine Learning Qualifications:
● B.E / B. Tech / M. Tech / PhD in CS/IT or Data Sciences
What’s in it for you
We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:
Flexible working hours
Unlimited annual leaves
Learning and development budget
Medical insurance/Term insurance, Gratuity benefits over and above the salaries
Access to industry and domain thought leaders
At Climate Connect Digital, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.
Link to apply - https://climateconnect.digital/careers/?jobId=gaG9dgeTYBvF
- Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
- Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand and implement machine learning algorithms.
- Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models.
- Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders.
- Mentor junior team members
Who we have in mind:
- Graduate in Computer Science or related field, or equivalent practical experience.
- 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
- Proficiency with SQL, Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
- Familiarity with deep learning frameworks such as TensorFlow or Keras
- Experience with Computer Vision (OpenCV), NLP frameworks (NLTK, SpaCY, BERT).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Strong hands-on knowledge of data query and data processing tools (i.e. SQL)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience building applications on cloud (AWS or Azure)
- Experience working in scrum teams with Agile tools like JIRA
- Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users
About the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast.
- 🎯 Mission Driven: Make Indonesia competitive on a global scale.
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
About the People
- ❤️ Love what we do
- 🎮 Committed to making learning fun, accessible, and safe
- 🤝 Teams are better. We value ownership, responsibility, transparency
- 🌏 Global, diverse backgrounds. Been there, done that.
What does it look like one year from now?
- CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
- You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
- You’re exploring what Data Science can do for the students, parents, teachers, educators.
- You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
- The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
- You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.
About you
- Highly-skilled and experienced Data Scientist and leader
- You are interested in creating next-gen data-powered education tech products.
- You’ve worked in a Data Science role before where you took a data product to market
- You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
- You’ve built platforms and systems from scratch
- You have a track record of developing and deploying data-science models to production
Let’s talk tech
- End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
- Deep Learning and Computer Vision models, ideally in a production environment
- Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc.
- Experience in Scala/Java/Go/C/C++ is a plus plus
- Airflow/Luigi/Oozie and the likes
- Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale
Track record
- B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
- 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
- Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams
- Experience developing a data science strategy, building the roadmap, and leading the execution
- Track record of recruiting talent in analytics and data science
You will make us go 😍 if:
- You’ve won algorithm and machine learning competitions such as ACM and Kaggle
- You have research publications and citations in top tier journals
- You have a portfolio of side projects and can show it to us
Responsibilities for Data Scientist/ NLP Engineer
Work with customers to identify opportunities for leveraging their data to drive business
solutions.
• Develop custom data models and algorithms to apply to data sets.
• Basic data cleaning and annotation for any incoming raw data.
• Use predictive modeling to increase and optimize customer experiences, revenue
generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Deployment of ML model in production.
Qualifications for Junior Data Scientist/ NLP Engineer
• BS, MS in Computer Science, Engineering, or related discipline.
• 3+ Years of experience in Data Science/Machine Learning.
• Experience with programming language Python.
• Familiar with at least one database query language, such as SQL
• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,
Search Indexing & Fuzzy Matching.
• Excellent written and verbal communication skills for coordinating acrossteams.
• Willing to learn and master new technologies and techniques.
• Knowledge and experience in statistical and data mining techniques:
GLM/Regression, Random Forest, Boosting, Trees, text mining, NLP, etc.
• Experience with chatbots would be bonus but not required