Machine Learning (ML)Job Description
Data scientist with a strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialisation in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution.A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes.
A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models.
Responsibilities and skills:
- Work with our customers to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organisation.
- Selecting features, building and optimising classifiers using ML techniques.
- Data mining using state-of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques.
- Should be able to appreciate and work on:
Computer Vision problems – for example extract rich information from images to categorise and process visual data— Develop machine learning algorithms for object and image classification, Experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects.
OR
Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc.
OR
Experience of having worked in these areas : speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Needs to appreciate deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow.
- Experience in working with GPUs to develop models, handling terabyte size datasets.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit-learn, caret etc - excellence in at least one of these is highly desirable.
- Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc.
- Experience with NoSQL databases and familiarity with data visualisation tools will be of great advantage.
Subodh Popalwar
Software Engineer, Memorres
About Sahaj AI Software
Our name ‘Sahaj’ reflects the mission that binds us together. As a company of technology artisans, we do this by harnessing the individuality and diversity in every one of us along with an emphasis on first principles thinking. It is how we find simple and yet sophisticated solutions to our clients’ most complex problems.
With purpose-built solutions and technology advisory, we solve the most complex engineering problems for clients to improve data availability and craft AI solutions that adapt and evolve with their changing needs or technology advances. Without technology force-fits and over-designed solutions, everything we do is crafted specifically for each client.
Our emphasis on craft makes us different. Our solutions for clients are never assembled in a software factory or replicas of pre-built solutions designed for others. We are a company that thrives because of our people. Unlike a software factory that relies on regimented processes or rigid methods to reduce our dependence on human talent, everything we do at Sahaj is designed with a singular objective of encouraging human ingenuity.
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Data ScienceRoles & Responsibilities:
-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.
-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.
-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products
-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.
-Define and develop ML infrastructure to improve efficiency of ML development workflows.
Must Have:
- Experience in productizing and deployment of ML solutions.
- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR
. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.
- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)
- Years with relevant experience:
5+ -Experience or Knowledge in ML OPS.
Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.
Machine Learning (ML)Data Science- Develop, train, and optimize machine learning models using Python, ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other relevant technologies.
- Implement MLOps best practices, including model deployment, monitoring, and versioning.
- Utilize Vertex AI, MLFlow, KubeFlow, TFX, and other relevant MLOps tools and frameworks to streamline the machine learning lifecycle.
- Collaborate with cross-functional teams to design and implement CI/CD pipelines for continuous integration and deployment using tools such as GitHub Actions, TeamCity, and similar platforms.
- Conduct research and stay up-to-date with the latest advancements in machine learning, deep learning, and MLOps technologies.
- Provide guidance and support to data scientists and software engineers on best practices for machine learning development and deployment.
- Assist in developing tooling strategies by evaluating various options, vendors, and product roadmaps to enhance the efficiency and effectiveness of our AI and data science initiatives.
Data ScienceMachine Learning (ML)Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.
Required Skills (Technical):
- Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch.
- Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.
- Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
- Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases).
- Knowledge of REST APIs and Web Services
- Experience with Python, R, sh/bash
Required Skills (Non-Technical):
- Fluent in English Communication (Spoken and verbal)
- Should be a team player
- Should have a learning aptitude
- Detail-oriented, analytically.
- Extremely organized with strong time-management skills
- Problem Solving & Critical Thinking
Machine Learning (ML)Data ScienceAbout Thriving Springs:
Have you ever wondered, what does it take to succeed at the workplace ? Is it only technical skills or do behavior skills also play a role ?
Research suggests that 85% of job success depends on soft and behavioral skills and this is where Thriving Springs plays a critical role by helping organizations, teams and individuals build these skills and unlock their highest potential and achieve an all round success. It does this by assessing current levels of soft and behavioral skills and then helping in growing them through Thriving Springs’s innovative smart platform that combines the power of emotional intelligence (EI) with artificial intelligence (AI) and machine learning (ML).
Why join Thriving Springs?
While there are many companies, however, companies that are built with a clear purpose and mission to take humanity forward are rare. Thriving Springs - An Edtech startup is one of the pioneers in driving human productivity, fulfillment and success forward through empowering millions of working professionals globally with soft and behavioral skills and assisting them in the flow of work. Thriving Springs is leading a worldwide and purpose-led movement to drive success at the workplace and we invite you to join this fun and adventurous journey with us.
Culture, Rewards and Benefits:
A great culture is created when everybody in the company has great opportunities, creates meaningful impact and contributes to the good of society - Larry Page - Founder - Google
The founders of Thriving Springs come from Google and have built a Google-like culture within Thriving Springs where every team member experiences freedom and autonomy to pursue their ideas that have a deep impact and will shape the future of workplace learning. The culture at Thriving Springs is deeply rooted in emotional intelligence where there is an emphasis on collaboration, empathy and winning together as one team.
The candidate will receive an attractive total compensation package including a competitive fixed salary, performance bonuses and ESOPs translating into non-incremental gains as the company grows into a potential unicorn. In addition, every member will receive medical and health insurance.
Location: Hyderabad, India
Qualifications:
BTech/BE in computer science, electrical, electronics or related fields 5+ years of full stack design and development experience High emotional intelligence, empathy and collaborative approach. Experience in Angular Javascript frameworks, CSS, HTML5, NodeJS, ExpressJS, MongoDB to handle full stack web development. Experience with developing rich dynamic front end applications using Angular and CSS frameworks like BulmaCSS, Angular Material, Bootstrap, etc. Knowledge of GraphQL would be an added advantage. Knowledge of Cloud services like AWS, Heroku, Azure is preferable. Should be a quick learner to keep up with the pace of the ever changing world of technology as the candidate will get excellent exposure to the latest and trending Cloud based Saas technologies and best practices while working with varied customers based across the globe.
Responsibilities:
Develop web applications covering end to end software development life cycle right from writing UI code using Angular to backend API code using NodeJS and managing databases like MongoDB, MySQL, etc. Involved in full stack code management from Git check-ins to running automated builds and deployments using DevOps practices to deploy to public cloud services like AWS, Azure, Heroku, etc. Handling full-stack web development workflow right from front end to backend to CI/CD workflows. Design and Develop the tech architecture and work closely with CEO and CTO of the company Drive and guide with work of other engineers on the team
This is a leadership role and candidate is expected to wear multiple technical hats including customer interactions and investor discussions
Deep LearningMachine Learning (ML)with the engineering team to strategize and execute the development of data products
● Execute analytical experiments methodically to help solve various problems and make a true impact across
various domains and industries
NLP ENGINEER at KARZA TECHNOLOGIES
● Identify relevant data sources and sets to mine for client business needs, and collect large structured and
unstructured datasets and variables
● Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve
models, and clean and validate data for uniformity and accuracy
● Analyze data for trends and patterns, and Interpret data with a clear objective in mind
● Implement analytical models into production by collaborating with software developers and machine
learning engineers
● Communicate analytic solutions to stakeholders and implement improvements as needed to operational
systems
What you need to work with us:
● Good understanding of data structures, algorithms, and the first principles of mathematics.
● 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.
● Should be curious or thoughtful enough to answer the “WHYs” pertaining to the most cherished
observations, thumb rules, and ideas across the data science community.
Qualification and Experience Required:
● 1 - 4 years of relevant experience
● Bachelor/ Master’s degree in computer science / Computer Engineering / Information Technology
Python- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet business requirements
- Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Work with Data, Analytics & Tech team to extract, arrange and analyze data
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
- Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
- Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
- Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
- SQL
- Ruby or Python(Ruby preferred)
- Apache-Hadoop based analytics
- Data warehousing
- Data architecture
- Schema design
- ML
- Prior experience of 2 to 5 years as a Data Engineer.
- Ability in managing and communicating data warehouse plans to internal teams.
- Experience designing, building, and maintaining data processing systems.
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
- Excellent analytic skills associated with working on unstructured datasets.
- Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.
Python
Amazon Web Services (AWS)The present role is a Data engineer role for Crewscale– Toplyne Collaboration.
Crewscale is exclusive partner of Toplyne.
About Crewscale:
Crewscale is a premium technology company focusing on helping companies building world
class scalable products. We are a product based start-up having a code assessment platform
which is being used top technology disrupters across the world.
Crewscale works with premium product companies (Indian and International) like - Swiggy,
ShareChat Grab, Capillary, Uber, Workspan, Ovo and many more. We are responsible for
managing infrastructure for Swiggy as well.
We focus on building only world class tech product and our USP is building technology can
handle scale from 1 million to 1 billion hits.
We invite candidates who have a zeal to develop world class products to come and work with us.
Toplyne
Who are we? 👋
Toplyne is a global SaaS product built to help revenue teams, at businesses with a self-service motion, and a large user-base, identify which users to spend time on, when and for what outcome. Think self-service or freemium-led companies like Figma, Notion, Freshworks, and Slack. We do this by helping companies recognize signals across their - product engagement, sales, billing, and marketing data.
Founded in June 2021, Toplyne is backed by marquee investors like Sequoia,Together fund and a bunch of well known angels. You can read more about us on - https://bit.ly/ForbesToplyne" target="_blank">https://bit.ly/ForbesToplyne , https://bit.ly/YourstoryToplyne" target="_blank">https://bit.ly/YourstoryToplyne.
What will you get to work on? 🏗️
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Design, Develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity.
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Develop and implement processes and systems to supervise data quality, data mining and ensuring production data is always accurate and available for key partners and business processes that depend on it.
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Perform data analysis required to solve data related issues and assist in the resolution of data issues.
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Complete ownership - You’ll build highly scalable platforms and services that support rapidly growing data needs in Toplyne. There’s no instruction book, it’s yours to write. You’ll figure it out, ship it, and iterate.
What do we expect from you? 🙌🏻
-
3-6 years of relevant work experience in a Data Engineering role.
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Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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Experience building and optimising data pipelines, architectures and data sets.
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Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
-
Strong analytic skills related to working with unstructured datasets.
-
Good understanding of Airflow, Spark, NoSql databases, Kakfa is nice to have.
Data ScienceMachine Learning (ML)About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.
Responsibilities:
- Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
- Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Develop custom data models and algorithms to apply to data sets
- Use predictive modeling to predict outcomes and identify key drivers
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
Requirements:
- Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
- 2+ years of strong working knowledge of SQL language
- Experience with visualization tools e. g., Tableau, Power BI
- Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
- Strong presentation and communication skills
- Experience in education sector is a plus
- Fluency in English
Data ScienceMachine Learning (ML)PythonDeep Learning- 3+ years of experience in Machine Learning
- Bachelors/Masters in Computer Engineering/Science.
- Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts.
- 10 and 12th acedemics 70 % & above.
Skills :
- Strong Python/ programming skills
- Good conceptual understanding of Machine Learning/Deep Learning/Natural Language Processing
- Strong verbal and written communication skills.
- Should be able to manage team, meet project deadlines and interface with clients.
- Should be able to work across different domains and quickly ramp up the business processes & flows & translate business problems into the data solutions
Machine Learning (ML)PythonData Science
Follow CutshortSubodh Popalwar
Software Engineer, Memorres