Research Scientist - Machine Learning/Artificial Intelligence
Machine Learning (ML)
Subodh Popalwar
Software Engineer, Memorres
About Intellinet Systems
About
Connect with the team
Company social profiles
Similar jobs
Machine Learning (ML)
PythonBuilding the machine learning production (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.
Responsibilities
As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments.
- Enable Model tracking, model experimentation, Model automation
- Develop ML pipelines to support
- Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
- Develop MLOps components in Machine learning development life cycle using Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS
- Work across all phases of Model development life cycle to build MLOPS components
- Build the knowledge base required to deliver increasingly complex MLOPS projects on Azure
- Be an integral part of client business development and delivery engagements across multiple domains
Required Qualifications
- 3-5 years experience building production-quality software.
- B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
- Strong experience in System Integration, Application Development or Data Warehouse projects across technologies used in the enterprise space
- Knowledge of MLOps, machine learning and docker
- Object-oriented languages (e.g. Python, PySpark, Java, C#, C++)
- CI/CD experience( i.e. Jenkins, Git hub action,
- Database programming using any flavors of SQL
- Knowledge of Git for Source code management
- Ability to collaborate effectively with highly technical resources in a fast-paced environment
- Ability to solve complex challenges/problems and rapidly deliver innovative solutions
- Foundational Knowledge of Cloud Computing on Azure
- Hunger and passion for learning new skills
PythonMachine Learning (ML)The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )
About
Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.
The Engineering Challenge
“Re-imaging credit and payments from First Principles”
Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.
Purpose of Role :
- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.
CANDIDATE PROFILE :
- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.
We are looking for someone who:
- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.
- Identify & deliver appropriate analytics solutions
- Experienced in Analytics team management
Essential Duties and Responsibilities :
- Responsible for delivering high quality analytical and value added services
- Responsible for automating insights and proactive actions on them to mitigate collection Risk.
- Work closely with the internal team members to deliver the solution
- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
- Use analysis and customer insights to develop value propositions for customers
- Maintain and enhance the suite of suitable analytics products.
- Actively seek to share knowledge within the team
- Share findings with peers from other teams and management where required
- Actively contribute to setting best practice processes.
Knowledge, Experience and Qualifications :
Knowledge :
- Good understanding of collection analytics preferably in Retail lending industry.
- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends
- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.
- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.
- Understanding of decisioning and portfolio management in banking and financial services would be added advantage
- Understanding of credit bureau would be an added advantage
Experience :
- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.
- Experience on working on Collection analytics is must
- Experience on handling large data volumes using data analysis tools and generating good data insights
- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences
- Excellent communication, presentation and writing skills Strong interpersonal skills
- Motivated to meet and exceed stretch targets
- Ability to make the right judgments in the face of complexity and uncertainty
- Excellent relationship and networking skills across our different business and geographies
Qualifications :
- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college
Python
Javascript
React.js
Angular (2+)
AngularJS (1.x)We are looking for a resource with 2-4 years of experience in Full stack with Python and Vue.js with ML/AI skills. As a developer, you’ll gain valuable management experience delegating responsibilities to the rest of your team and reviewing the work of junior developers.
Requirement:
- Bachelor’s Degree in Computer Science (good to have).
- 2+ years’ experience in web and software development
- Ability to work independently and multi-task effectively
- Demonstrated understanding of projects from the perspective of both client and business(preferably from cybersecurity domain).
Technical Skills required:
- Node Js,
- Vue.JS
- ML/AI
- Python
- Agile Development
Roles & Responsibilities:
- Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle.
- Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
- Prepares and installs solutions by determining and designing system specifications, standards, and programming.
- Improves operations by conducting systems analysis and recommending changes in policies and procedures.
- Meeting deadlines.
- Accomplishes engineering and organization mission by completing related results as needed.
- Troubleshoot, debug and upgrade existing software
Job Type: Full-time
Salary: OPEN
Benefits:
- Flexible schedule
- Paid sick time
This is a fast filling role.
Deep Learning|
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
PythonMachine Learning (ML)
Data ScienceDo you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.
Data ScienceMachine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
-
Ensuring that algorithms generate robust and accurate results.
-
Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
-
Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
-
Excellent troubleshooting skills.
-
Good project management skills.
-
Great communication and collaboration skills.
-
Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
Data Science
R ProgrammingPythonculture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.
Inside/Virtual Sales Specialist
Position – Virtual Account Manager
We are looking for a stellar Account Executive to join our team in Pune who would be
focused on the South East Asian market.
Responsibilities:
Prospect within named enterprises in South East Asia to generate pipeline
Consistently achieve license and recurring service revenue targets
Build a trusted advisor relationship with your prospects and customers
Use Simplifai’s prospecting and sales processes effectively
Ensure two-way flow of relevant and timely information
Anticipate challenges before the prospect does
Collaborate effectively with partnership, sales development, solutions consulting teams
The Candidate:
3-7 years of quantifiable, install base and new logo acquisition sales in B2B software with a strong
track record of success; experience with the full lifecycle of virtual sales from qualification, discovery
to closing
Strong willingness and ability to uncover opportunities by communicating a highly differentiated
value proposition to open doors at new accounts or expand deals at existing accounts; excellent
verbal and written communication skills with strong phone/video conference presence
Experience selling software platforms that belong to a nascent category in the Hype Cycle
Experience in account planning and opportunity management, and running a sales cycle
Experience framing value and ROI to business stakeholders
Ability to maintain an accurate CRM
Strong executive presence + interpersonal, written and presentation skills
Able to work independently and remotely from other members of your team
Outbound experience - Cold calls/emails/events etc. within prospect organizations.
Ability to identify prospect trigger/ pain with the right questions
Ability to learn to speak your prospect’s business language
Cross-cultural – you like working with many types of people across multiple geographies and
languages
Ability to learn what would make your prospect successful
The ability to teach your prospects using insights they didn’t know before
The ability to independently run a product demo
The discipline to meet your sales productivity requirements
Experience using prospecting tools - ZoomInfo, Lusha, Outreach, LinkedIn
What you will get to do:
The opportunity to script your success and growth path in a fast-growth Series A startup
Be one of the early Sales employees in the SEA region for Simplifai, with the added responsibility of
setting the strategy and leading the execution for Simplifai’s expansion in the SEA
Work with Sales and Product Marketing to develop new and leverage existing content
Work with some of the best talent from Norway and India
A deep knowledge of selling a SaaS B2B product in a category-defining company
Exposure to C-suite professionals from some of the top SaaS companies in the industry
The ability to prospect, demo, and close in a high paced environment
Full-stack learning of Sales tools
Achieve success that is directly proportional to the responsibilities you hold.
Machine Learning (ML)Professor:
To drive the campus academic operations in close coordination with,
a) Head of Departments. b) Faculty members c) Students
To create an 'IT centre of excellence' at the campus.
Should have driven the academic function of IT dept.
Should have experience of handling the academic operations
Associate / Assistant Professor:
Adhering to university time line (other the new courses)
To ensure coverage of Syllabus as per university standards
Learning Outcome
Examination Result ( Includes both Internal & Main Exams)
Knowledge Improvement Program
Innovation & Development
Technical Skills:
- General: C++, Java, OS, RDBMS, Software Engg, Data Structure etc
- Niche technologies like Cloud, Mobility, Information security, Data Science, IoT and Artificial Intelligence to name a few
Behavioural Competencies:
- Strong Leadership Qualities
- Excellent Communication skills
- Strong interpersonal skills to work with diverse teams
- Strong Presentation Skills
Qualification: B.Tech, M.Tech & Ph.D - Completed / Pursuing
Year of Exp:
- Professor: Min 12+ years of exp post PG and 5 years post Ph.D
- Associate Professor: Min 10+ years of exp post PG and 3 years post Ph.D
- Assistant Professor: 2+ years exp
How you match
Skills
-
MatchTeaching
-
No matchData Privacy
-
No matchInternet of Things (IoT)
-
No matchArtificial Intelligence (AI)
-
No matchCurriculum
-
No matchNetwork Security
-
No matchPresentation Skills
-
No matchInformation Security
-
No matchRDBMS
-
No matchInterpersonal Skills.
JavaMachine Learning (ML)
Follow CutshortSubodh Popalwar
Software Engineer, Memorres