Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.
Job Responsibilities:
Lead a team through the entire analytical and machine learning model life cycle:
Define the problem statement
Build and clean datasets
Exploratory data analysis
Feature engineering
Apply ML algorithms and assess the performance
Code for deployment
Code testing and troubleshooting
Communicate Analysis to Stakeholders
Manage Data Analysts and Data Scientists
Qualifications:
Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)
Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus
Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark
Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written
About Fintech Company
Similar jobs
• 6+ years of data science experience.
• Demonstrated experience in leading programs.
• Prior experience in customer data platforms/finance domain is a plus.
• Demonstrated ability in developing and deploying data-driven products.
• Experience of working with large datasets and developing scalable algorithms.
• Hands-on experience of working with tech, product, and operation teams.
Technical Skills:
• Deep understanding and hands-on experience of Machine learning and Deep
learning algorithms. Good understanding of NLP and LLM concepts and fair
experience in developing NLU and NLG solutions.
• Experience with Keras/TensorFlow/PyTorch deep learning frameworks.
• Proficient in scripting languages (Python/Shell), SQL.
• Good knowledge of Statistics.
• Experience with big data, cloud, and MLOps.
Soft Skills:
• Strong analytical and problem-solving skills.
• Excellent presentation and communication skills.
• Ability to work independently and deal with ambiguity.
Continuous Learning:
• Stay up to date with emerging technologies.
Qualification.
A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.
o You’re both relentless and kind, and don’t see these as being mutually
exclusive
o You have a self-directed learning style, an insatiable curiosity, and a
hands-on execution mindset
o You have deep experience working with product and engineering teams
to launch machine learning products that users love in new or rapidly
evolving markets
o You flourish in uncertain environments and can turn incomplete,
conflicting, or ambiguous inputs into solid data-science action plans
o You bring best practices to feature engineering, model development, and
ML operations
o Your experience in deploying and monitoring the performance of models
in production enables us to implement a best-in-class solution
o You have exceptional writing and speaking skills with a talent for
articulating how data science can be applied to solve customer problems
Must-Have Qualifications
o Graduate degree in engineering, data science, mathematics, physics, or
another quantitative field
o 5+ years of hands-on experience in building and deploying production-
grade ML models with ML frameworks (TensorFlow, Keras, PyTorch) and
libraries like scikit-learn
o Track-record in building ML pipelines for time series, classification, and
predictive applications
o Expert level skills in Python for data analysis and visualization, hypothesis
testing, and model building
o Deep experience with ensemble ML approaches including random forests
and xgboost, and experience with databases and querying models for
structured and unstructured data
o A knack for using data visualization and analysis tools to tell a story
o You naturally think quantitatively about problems and work backward
from a customer outcome
What’ll make you stand out (but not required)
o You have a keen awareness or interest in network analysis/graph analysis
or NLP
o You have experience in distributed systems and graph databases
o You have a strong connection to finance teams or closely related
domains, the challenges they face, and a deep appreciation for their
aspirations
We are a 20-year old IT Services company from Kolkata working in India and abroad. We primarily work as SSP(Software Solutions Partner) and serve some of the leading business houses in the country in various software project implementations specially on SAP and Oracle platform and also working on Govt & Semi Govt projects as outsourcing partner all over PAN India.
Can be anywhere in India ( Mumbai ,Pune and Kolkata is
preferable)
JD
Machine Learning/Deep Learning experience above 3
years
- Clear and structured thinking and communication
Keywords: Machine Learning, Deep Learning, AI,
Regression, Classification, Clustering, NLP, CNN, RNN,
LSTM, AutoML, k-NN, Naive Bayes, SVM, Decision
Forests
- Understand granular requirement, underlying business
problem and convert to low level design
- Develop analytic process chain with pre-processing,
training, testing, boosting etc.
- Develop the technical deliverable in mcube
(Python/Spark ML/R, H2O/Tensorflow) as per design
- Ensure quality of deliverable (coding standards, data
quality, data reconciliation)
- Proactively reach out for risks to Technical Lead
- Machine Learning, Deep Learning, Regression,
Classification, Clustering, NLP,CNN, RNN
- Expertise in data analysis and analytic programming
(Python/R/ SparkML/Tensorflow)
- Experience in multiple data processing technology
(preferably Pentaho or Spark)
- Basic knowledge in effort estimation, Clear and
structured thinking and communication
- Expertise in testing accuracy of deliverables (model)
- Exposure to Data Modelling and Analysis
- Exposure to information delivery (model outcome
communication)
Qualification:
M.S. / M.Tech/ B.Tech / B.E. (in this order of preference)
- Masters course in Data Science after technical (engineering/
science) degree
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
- Minimum 2.5 years of experience as a Python Developer.
- Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
- Minimum 2.5 years of experience in SQL/ Postgress
- Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
- Minimum 2+ years of experience in deployment (CICD with Jenkins)
- Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure
Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.
We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.
All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.
Roles & Responsibilities:
- Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics
- Work with senior leaders from all functions to explore opportunities for using advance analytics
- Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals
- Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies
- Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
Sr AI Scientist, Bengaluru |
Job Description
Introduction
Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.
Your Roles and Responsibilities
The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.
Requirements:
- 4+ years of relevant experience in solving complex real-world problems at scale via computer vision based deep learning.
- Strong problem-solving ability
- Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
- Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
- Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
- Experience of GPU/DSP/other Multi-core architecture programming
- Effective communication with other project members and project stakeholders
- Detail-oriented, eager to learn, acquire new skills
- Prior Project Management and Team Leadership experience
- Ability to plan work and meet deadlines