11+ Support vector machine Jobs in India
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Data Science
Machine Learning (ML)
Deep Learning- 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
- Programming skills in Python, knowledge in Statistics.
- Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
- Experience in the financial domain and familiarity with financial models are highly desirable.
- Experience in image processing and computer vision.
- Experience working with building data pipelines.
- Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
- Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
- Should have experience in using larger data sets using Postgres Database.
Data ScienceMachine Learning (ML)
PythonData Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
PostgreSQLketteQ is a supply chain planning and automation platform. We are looking for extremely strong and experienced Technical Consultant to help with system design, data engineering and software configuration and testing during the implementation of supply chain planning solutions. This job comes with a very attractive compensation package, and work-from-home benefit. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you.
Responsible for technical design and implementation of supply chain planning solutions.
Responsibilities
- Design and document system architecture
- Design data mappings
- Develop integrations
- Test and validate data
- Develop customizations
- Deploy solution
- Support demo development activities
Requirements
- Minimum 5 years experience in technical implementation of Enterprise software preferably Supply Chain Planning software
- Proficiency in ANSI/postgreSQL
- Proficiency in ETL tools such as Pentaho, Talend, Informatica, and Mulesoft
- Experience with Webservices and REST APIs
- Knowledge of AWS
- Salesforce and Tableau experience a plus
- Excellent analytical skills
- Must possess excellent verbal and written communication skills and be able to communicate effectively with international clients
- Must be a self-starter and highly motivated individual who is looking to make a career in supply chain management
- Quick thinker with proven decision-making and organizational skills
- Must be flexible to work non-standard hours to accommodate globally dispersed teams and clients
Education
- Bachelors in Engineering from a top-ranked university with above average grades
Data ScienceMachine Learning (ML)Deep Learning A Bachelor’s degree in data science, statistics, computer science, or a similar field
2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
Experience with storage frameworks like Hadoop, Spark, Kafka etc
Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
Experience in implementing parallel processing and in-memory frameworks such as H2O.ai
Amazon Web Services (AWS)PythonJob Description
Mandatory Requirements
-
Experience in AWS Glue
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Experience in Apache Parquet
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Proficient in AWS S3 and data lake
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Knowledge of Snowflake
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Understanding of file-based ingestion best practices.
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Scripting language - Python & pyspark
CORE RESPONSIBILITIES
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Create and manage cloud resources in AWS
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Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
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Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
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Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
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Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
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Define process improvement opportunities to optimize data collection, insights and displays.
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Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
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Identify and interpret trends and patterns from complex data sets
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Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
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Key participant in regular Scrum ceremonies with the agile teams
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Proficient at developing queries, writing reports and presenting findings
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Mentor junior members and bring best industry practices.
QUALIFICATIONS
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5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
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Strong background in math, statistics, computer science, data science or related discipline
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Advanced knowledge one of language: Java, Scala, Python, C#
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
-
Proficient with
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Data mining/programming tools (e.g. SAS, SQL, R, Python)
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Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
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Data visualization (e.g. Tableau, Looker, MicroStrategy)
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Comfortable learning about and deploying new technologies and tools.
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Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
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Good written and oral communication skills and ability to present results to non-technical audiences
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Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
-
AWS certification
-
Spark Streaming
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Kafka Streaming / Kafka Connect
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ELK Stack
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Cassandra / MongoDB
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CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
Data ScienceMachine Learning (ML)Outplay is building the future of sales engagement, a solution that helps sales teams personalize at scale while consistently staying on message and on task, through true multi-channel outreach including email, phone, SMS, chat and social media. Outplay is the only tool your sales team will ever need to crush their goals. Funded by Sequoia - Headquartered in the US. Sequoia not only led a $2 million seed round in Outplay early this year, but also followed with $7.3 million Series - A recently. The team is spread remotely all over the globe.
Perks of being an Outplayer :
• Fully remote job - You can be on the mountains or at the beach, and still work with us. Outplay is a 100% remote company.
• Flexible work hours - We believe mental health is way more important than a 9-5 job.
• Health Insurance - We are a family, and we take care of each other - we provide medical insurance coverage to all employees and their family members. We also provide an additional benefit of doctor consultation along with the insurance plan.
• Annual company retreat - we work hard, and we party harder.
• Best tools - we buy you the best tools of the trade
• Celebrations - No, we never forget your birthday or anniversary (be it work or wedding) and we never leave an opportunity to celebrate milestones and wins.
• Safe space to innovate and experiment
• Steady career growth and job security
About the Role:
We are looking for a Senior Data Scientist to help research, develop and advance the charter of AI at Outplay and push the threshold of conversational intelligence.
Job description :
• Lead AI initiatives that dissects data for creating new feature prototypes and minimum viable products
• Conduct product research in natural language processing, conversation intelligence, and virtual assistant technologies
• Use independent judgment to enhance product by using existing data and building AI/ML models
• Collaborate with teams, provide technical guidance to colleagues and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
• Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
• Prototype and demonstrate AI augmented capabilities in the product for customers
• Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
• Assist business development teams in the expansion and enhancement of a feature pipeline to support short and long-range growth plans
• Identify new business opportunities and prioritize pursuits of AI for different areas of conversational intelligence
• Build reusable and scalable solutions for use across a varied customer base
• Participate in long range strategic planning activities designed to meet the company’s objectives and revenue goals
Required Skills :
• Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
• 4+ years of experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
• Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
• Excellent grasp on programming languages like Python. Experience in GoLang would be a plus.
• Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
• Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
• Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
• Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
• Extensive experience of training and deploying different Machine Learning models
• Experience in monitoring deployed models to proactively capture data drifts, low performing models, etc.
• Exposure to Deep Learning, Neural Networks or related fields
• Passion for solving AI/ML problems for both textual and voice data.
• Fast learner, with great written and verbal communication skills, and be able to work independently as
well as in a team environment
Python
Java
ScalaAs a Data Engineer, your role will encompass:
- Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture using Scala, Python, Talend etc.
- Gather and address technical and design requirements.
- Refactor existing applications to optimize its performance through setting the appropriate architecture and integrating the best practices and standards.
- Participate in the entire data life-cycle mainly focusing on coding, debugging, and testing.
- Troubleshoot and debug ETL Pipelines.
- Documentation of each process.
Technical Requirements: -
- BSc degree in Computer Science/Computer Engineering. (Masters is a plus.)
- 2+ years of experience as a Data Engineer.
- In-depth understanding of core ETL concepts, Data Modelling, Data Lineage, Data Governance, Data Catalog, etc.
- 2+ years of work experience in Scala, Python, Java.
- Good Knowledge on Big Data Tools such as Spark/HDFS/Hive/Flume, etc.
- Hands on experience on ETL tools like Talend/Informatica is a plus.
- Good knowledge in Kafka and spark streaming is a big plus.
- 2+ years of experience in using Azure cloud and its resources/services (like Azure Data factory, Azure Databricks, SQL Synapse, Azure Devops, Logic Apps, Power Bi, Azure Event Hubs, etc).
- Strong experience in Relational Databases (MySQL, SQL Server)
- Exposure on data visualization tools like Power BI / Qlik sense / MicroStrategy
- 2+ years of experience in developing APIs (REST & SOAP protocols).
- Strong knowledge in Continuous Integration & Continuous Deployment (CI/CD) utilizing Docker containers, Jenkins, etc.
- Strong competencies in algorithms and software architecture.
- Excellent analytical and teamwork skills.
Good to have: -
- Previous on-prem working experience is a plus.
- In-depth understanding of the entire web development process (design, development, and deployment)
- Previous experience in automated testing including unit testing & UI testing.
Data ScienceMachine Learning (ML)
CSenior Engineer – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)
We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.
About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.
Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit
Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields
Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals
Deep LearningMachine Learning (ML)PythonWe are looking for an engineer with ML/DL background.
Ideal candidate should have the following skillset
1) Python
2) Tensorflow
3) Experience building and deploying systems
4) Experience with Theano/Torch/Caffe/Keras all useful
5) Experience Data warehousing/storage/management would be a plus
6) Experience writing production software would be a plus
7) Ideal candidate should have developed their own DL architechtures apart from using open source architechtures.
8) Ideal candidate would have extensive experience with computer vision applications
Candidates would be responsible for building Deep Learning models to solve specific problems. Workflow would look as follows:
1) Define Problem Statement (input -> output)
2) Preprocess Data
3) Build DL model
4) Test on different datasets using Transfer Learning
5) Parameter Tuning
6) Deployment to production
Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute (preferably IIT/BITS or equivalent)
Scala- 5+ years of experience in a Data Engineer role
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases such as Cassandra.
- Experience with AWS cloud services: EC2, EMR, Athena
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
- Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Machine Learning (ML)Python
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