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About us
Ankercloud is the cloud and technology partner for data-driven digital transformation. Ankercloud provides consulting, implementation services, and industry-specific analytics solutions that deliver cost-effective and high-impact business value by processing data.
Our cloud solutions are the most efficient, cost-effective and are deployed faster without compromising on quality. We are agile and strive to be trusted technology and cloud partners focused only on what's best for our customer’s business.
Roles and Responsibilities:
● Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
● Exploring, analyzing and visualizing data to gain an understanding of it.
● Maintaining Data quality on different types of datasets.
● Supervising the data acquisition process if more data is needed
● Defining Model validation strategies
● Defining the preprocessing or feature engineering to be done on a given dataset
● Data augmentation pipelines
● Training models and tuning their hyperparameters
● Analyzing the errors of the model and designing strategies to overcome them.
● Defining the A/B testing setups. Deploying and maintaining the MLOps pipelines.
Technical Expertise:
● Hands on experience on TensorFlow, PyTorch, Keras, Caffe,Supervised Machine Learning Algorithms,Deep Learning Models (CNN, RNN, LSTM, BERT, NLU and YOLO), Cloud Platforms (AWS/GCP)
● Experience in Data Wrangling and PySpark(Good to have knowledge over EMR and Glue)
● Excellent skills developing in Python as well as significant experience working in a Linux environments.
● Experience with containerizing applications using Docker
● Experience in SQL and at least one NoSQL data store Elasticsearch, MongoDB, Cassandra, HBase
● Experience in handling branch based deployments.
Good to Have:
● Knowledge over MLFlow and Kubeflow.
● Optimization of Multipe GPUs.
Senior Technical Writer
Experience: 7+ Years
Location: Bangalore, Remote
Type: Full-time
About Digit88
Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner!
We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners.
With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best.
The Vision: To be the most trusted technology partner to innovative software product companies world-wide
The Opportunity
Since 2017, we have partnered with one of the world's foremost Conversational AI companies to set up their dedicated product engineering team in India. Over the past 5+ years we have been collaboratively engineering highly scalable, high performance, resilient platforms with teams in Seattle, Mountain View, UK, Israel and Germany.
Founded in New York City with over 1,200+ employees spanning 6 continents and dozens of countries, our partner is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot using the platforms that we are developing, our partner is a market leader in Conversational AI competing with the likes of Google Dialog Flow, IBM Watson, Microsoft and more.
Digit88 is seeking a senior technical writer to join our conversational AI team. You will be responsible for technical content for conversational Cloud Platform, technical guides, and marketing materials. You would be joining an existing team of 50+ professionals and help expand the Conversational AI professional services team that builds and delivers highly engaging and cutting edge chatbot/AI solutions that automate and power millions of conversations daily across the world.
Responsibilities:
- Content Creation: Develop technical content for conversational Cloud Platform, technical guides, user manuals and marketing materials. Should also be able to translate technical jargon into clear and accessible language for non-technical audiences.
- Research: Stay up-to-date with industry trends, emerging technologies, and best practices. Conduct in-depth research to gather relevant information and validate technical details to ensure accuracy in your writing.
- Collaborate with Subject Matter Experts: Work closely with technical experts and product teams to gather information, interview subject matter experts, and understand complex technical concepts. Build a strong rapport with technical teams to create content that resonates with the target audience.
- Content Strategy: Contribute to the development of content strategies based on goals, audience, and industry trends. Suggest new content ideas and formats to engage the audience effectively.
- Editing and Proofreading: Review and edit content to ensure clarity, consistency, and adherence to style guidelines. Check for grammar, punctuation, and spelling errors to deliver error-free content.
- Content Performance Analysis: Track and analyze the performance of content using relevant metrics and analytics tools. Use data insights to refine content strategies and improve engagement.
- Technical Documentation: Create comprehensive technical documentation for products, services, and features, ensuring clarity and accuracy for users and developers.
You should have proven experience in:
- As a Technical Content Writer, preferably in the technology industry like B2B SaaS Platforms. Experience on Conversational AI/Chatbots or other Low Code platforms experience is a big plus.
- Strong understanding of technical concepts and the ability to communicate them clearly to non-technical audiences.
- Excellent writing, editing, and proofreading skills with attention to detail.
- Familiarity with SEO principles and content optimization techniques.
- Proficiency in researching, organizing, and presenting complex technical information in a simplified manner.
- Ability to collaborate effectively with cross-functional teams and subject matter experts.
Preferred Skills:
- 7+ years experience in technical content writing for enterprise software.
- Good to have knowledge on content management systems (CMS) and content publishing workflows.
- Knowledge of industry-standard style guides and ability to adapt to the company's style guidelines.
- Bachelor's degree in a relevant field such as Computer Science, Engineering, Communications, or a related discipline is preferred.
Additional Project/Soft Skills:
- You are a creative problem solver
- Positive attitude and self-motivated
- Extremely detail-oriented and also able to see the big picture
- Excellent written and verbal communication skills and presentation ability
- Strong presentations skills
- Strong problem-solving skills with creative approach
Benefits/Culture @ Digit88:
- Comprehensive Insurance (Life, Health, Accident)
- Flexible Work Model
- Accelerated learning & non-linear growth
- Flat organisation structure driven by ownership and accountability.
- Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies
- Ability to make a global impact with your work, leading innovations in Conversational AI, Tele-Medicine, Healthcare and more.
You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges.
This is the right time to join us and partner in our growth!
The selected candidate is required to fine tune LLM models, train them in distributed mode using SLURM framework, perform the necessary data engineering, training process monitoring and tuning, analysis, and documentation.
This job is for Generative AI in visual modality. Candidates with relevant experience only must apply.
The selected candidate is required to perform all the necessary tasks related to data engineering, models selection, use relevant selected libraries/ APIs/ SDKs and creat an Avatar that is visually realistic, with realistic expressions, correct lip synching, and is computationally optimal to run in real time.
The candidate is required to do the necessary designer's tests and documentation as well.
We are looking for an AI Architect to join our team.
Responsibilities
- Architecture Design: Develop scalable and efficient AI architectures.
- Technical Guidance: Provide expertise and guidance to development teams.
- System Integration: Collaborate to integrate AI technologies into systems.
- Performance Optimization: Optimize AI models and infrastructure.
- Data Management: Manage large datasets for AI training.
- Ethical Considerations: Address ethical and privacy concerns.
- Technical Documentation: Create comprehensive technical documentation.
- Collaboration and Communication: Collaborate with stakeholders.
- Problem-Solving: Analyze and troubleshoot technical issues.
- Continuous Learning: Stay updated with AI advancements.
Requirements
- Education: Bachelors or masters degree in computer science or related field.
- Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
- Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
- Architectural Design: Ability to design scalable and efficient AI architectures.
- System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
- Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
- Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
- Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
- Collaboration and Communication: Strong teamwork and communication skills.
- Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
- Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.
Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.
We are looking for a passionate technologist with experience in building SaaS tech experience and products for a once-in-a-lifetime opportunity to lead Engineering for an AI powered Financial Operations platform to seamlessly monitor, optimize, reconcile and forecast cashflow with ease.
Background
An incredible rare opportunity for a VP Engineering to join a top tier incubated VC SaaS startup and outstanding management team. Product is currently in the build stage with a solid design partners pipeline of ~$250K and soon raising a pre-seed/seed round with marquee investors.
Responsibilities
- Develop and implement the company's technical strategy and roadmap, ensuring that it aligns with the overall business objectives and is scalable, reliable, and secure.
- Manage and optimize the company's technical resources, including staffing, software, hardware, and infrastructure, to ensure that they are being used effectively and efficiently.
- Work with the founding team and other executives to identify opportunities for innovation and new technology solutions, and evaluate the feasibility and impact of these solutions on the business.
- Lead the engineering function in developing and deploying high-quality software products and solutions, ensuring that they meet or exceed customer requirements and industry standards.
- Analyze and evaluate technical data and metrics, identifying areas for improvement and implementing changes to drive efficiency and effectiveness.
- Ensure that the company is in compliance with all legal and regulatory requirements, including data privacy and security regulations.
Eligibility criteria:
- 6+ years of experience in developing scalable SaaS products.
- Strong technical background with 6+ years of experience with a strong focus on SaaS, AI, and finance software.
- Prior experience in leadership roles.
- Entrepreneurial mindset, with a strong desire to innovate and grow a startup from the ground up.
Perks:
- Vested Equity.
- Ownership in the company.
- Build alongside passionate and smart individuals.
Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!
As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.
Responsibilities:
- AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
- Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
- Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
- Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
- Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
- Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
- Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
- Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.
Requirements
- Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
- Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
- Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
- Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
- Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
- Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
- Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.
If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!
Responsibilities
- Product Strategy: Develop and communicate product vision, strategy, and roadmap.
- Requirement Gathering: Identify and prioritize product requirements through user research.
- Project Planning and Management: Define project goals, milestones, and manage timelines.
- Data Management: Oversee data collection, storage, and quality assurance.
- Machine Learning Models: Collaborate on AI algorithm development and model training.
- User Experience (UX): Advocate for intuitive and user-friendly AI product interfaces.
- Product Launch and Adoption: Plan and execute successful product launches.
- Performance Monitoring and Improvement: Track metrics and propose enhancements.
- Stakeholder Communication: Facilitate communication between technical and non-technical teams.
- Market and Industry Awareness: Stay informed on AI trends and regulatory requirements.
Requirements
- Education: Bachelor’s or master’s degree in computer science, engineering, data science, or related fields with 5+ years’ experience as a product manager and at least 2 years in AI domain.
- Technical Knowledge: Strong understanding of AI, machine learning, and data analysis.
- Product Management Experience: Previous experience in product management or related roles.
- AI Domain Expertise: Proficiency in AI applications and ethical considerations.
- Analytical and Problem-Solving Skills: Ability to analyse complex data and solve problems.
- Communication and Collaboration: Excellent interpersonal and communication skills.
- Leadership and Project Management: Strong leadership and project management abilities.
- User-Centric Mindset: Understanding of user needs and usability testing skills.
- Business Acumen: Knowledge of business principles and market dynamics.
- Adaptability and Learning Agility: Openness to new technologies and continuous learning.
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● 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 increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
DATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience
Job Title: Sr. Developer/ Developer – Robotics & AI Business Unit
Business Unit: Robotics & AI
Reporting To: Head – Robotics & AI Business Unit / Delivery Head - Robotics & AI Business Unit
Supervises: Junior developers
Skill Sets Required:
- Strong Expertise and experience with Automation Anywhere. With an overall experience of around 3 - 6 years, of which at least 2 years of proven experience in working on live automation projects using Automation Anywhere and /all UIPATH.
- Experience in A2019 version (mandatory) with knowledge of new tools like AARI will be preferred. Strong working knowledge of A2019 AARI, IQ BOT, Discovery BOT.
- Other RPA platforms experience like UiPath, Microsoft Power Automate, Softomotive, etc. will be an added preference. Working knowledge of UIPATH - Studio X, Ai-Fabric etc will be an added preference.
- Expertise and experience in using technologies like AI, NLP, OCR, Machine Learning/ML etc. which will be used for various aspects of business process automation, will be an added preference. Usage of Microsoft Azure AI / AWS Lex / Google AI.
- Experience and Expertise in coding languages like Python, Java/.Net. Working knowledge on Python is desirable.
- Working Knowledge of Restful API’s, Microservices and BOT Integration frameworks.
- Experience and good understanding of the Software Development Lifecycle (Requirements Gathering, Development, Testing and Change Management).
- Experience with Process Discovery, Design, Analysis and Implementation (knowledge about common methods and frameworks like ITIL, Six Sigma etc)
- Knowledge and usage of platforms & technologies like Django, SPACY, BERT, GIT, JIRA, Lucid, POSTGRE SQL etc
Job Purpose:
- To contribute to the Delivery unit of the RPA and AI business as a Senior Developer in accordance with the vision, mission, objective and goals of the RPA and AI Business Unit and the Organization.
- To be recognised as a high-performance team member of RPA and AI Business Unit.
- To excel in Project and Program Delivery for customers and create a comprehensive Project Delivery eco-system with the best practices and methodologies in line with RPA and AI.
- Develop, maintain and improve project delivery efficiency to optimize productivity & resource utilisation and maximize profitability through delivery excellence and customer delight.
- To assist the pre-sales and product/platform building plans of the RPA and AI business.
- To create in mind of customers and partners, a positive brand image of the Company.
Key Job Responsibilities:
- Delivering RPA and AI projects as per scope, on time, within Budget with meeting all KPI’s and Objectives.
- Delivering Customer Projects: Oversee the design and implementation of RPA & AI solutions using the selected RPA & AI platform(s). This will involve managing a team of architects & coders. It will also need to be “hands-on” to some degree to ensure smooth delivery of the project and program.
- As part of Project Sprints, identification of process improvement and regular reviews to identify opportunities where automation can drive benefits and efficiencies for the business
- Working with the project teams and business/customer SMEs and IT teams, analyse existing business processes in detail in order to assess feasibility and to redesign those processes for an RPA/AI supported solution
- Reporting metrics and governance structures are put in place to measure the performance and outcome of the RPA/AI solutions being delivered to customers/internal
- Documenting Best Practices and Methodologies to enhance and improve the quality of delivery of RPA and AI projects, creating of re-usable delivery assets.
- Effective Communication with the customer and the relevant stakeholders to ensure smooth delivery of the projects and programs.
- As a part of RPA/AI Delivery, there will be responsibilities for the ongoing support of Solutions and services provided and the quality of service and performance
- Monitor, support and control service delivery ensuring that the procedures put in place are effective and properly implemented
- Play a critical part in business expansion and growth of the business by “Delivery Driven sales” – change requests, identifying & building new use cases for RPA & AI implementation, etc.
- To assist in pre-sales aspects (customer use cases/business analysis, POCs, demos, ROI creation, proposals, SOWs, etc.), working with sales and pre-sales teams for customers and alliance partners presentations/discussions, conducting events like webinars, etc.
- To contribute to the product/platform & reusable assets building, planning-to-realisation lifecycle of Netlabs, in discussions with the senior leadership team
- To plan & realise competency building of the team of junior developers, based on the BU plans & priorities, in discussions with the senior leadership team
- Documenting project information and co-ordinate with account management and marketing teams to generate case studies
- Contributing thought-leadership articles and content for whitepapers, blogs, POVs
Team Responsibilities:
- Mentoring & retaining a high-performance team of junior developers
- Assigning team responsibilities/work allocations, maintaining job descriptions, monitoring competency building, tasks and quality
- Developing performance standards and communicating the Key Result Areas (KRAs)
- Managing performance by periodic reviews, appraisals and motivating people through rewards, incentives and recognition policies in line with company’s HR policies
- General administrative supervision of all team members
Job Description –Sr. Python Developer
Job Brief
The job requires Python experience as well as expertise with AI/ML. This Developer is expected to have strong technical skills, to work closely with the other team members in development and managing key projects. Ability to work on a small team with minimal supervision, Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
Job Requirement
- 4 plus Years of Python relevant experience
- Good at communication skills and Email etiquette
- Quick learner and should be a team player
- Experience in working on python framework
- Experience in Developing With Python & MySQL on LAMP/LEMP Stack
- Experience in Developing an MVC Application with Python
- Experience with Threading, Multithreading and pipelines
- Experience in Creating RESTful API’s With Python in JSON, XMLs
- Experience in Designing Relational Database using MySQL And Writing Raw SQL Queries
- Experience with GitHub Version Control
- Ability of Write Custom Python Code
- Excellent working knowledge of AI/ML based application
- Experience in OpenCV/TensorFlow/ SimpleCV/PyTorch
- Experience working in agile software development methodology
- Understanding of end-to-end ML project lifecycle
- Understanding of cross platform OS systems like Windows, Linux or UNIX with hands-on working experience
Responsibilities
- Participate in the entire development lifecycle, from planning through implementation, documentation, testing, and deployment, all the way to monitoring.
- Produce high quality, maintainable code with great test coverage
- Integration of user-facing elements developed by front-end developers
- Build efficient, testable, and reusable Python/AI/ML modules
- Solve complex performance problems and architectural challenges
- Help with designing and architecting the product
- Design and develop the web application modules or APIs
- Troubleshoot and debug applications.
at Synapsica Technologies Pvt Ltd
Introduction
http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded 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 a 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 IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls
Your Roles and Responsibilities
Synapsica is looking for a Principal AI Researcher to lead and drive AI based research and development efforts. Ideal candidate should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects and should be excited to work on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions.
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, frequent review of results, generating new ideas, building new models from scratch, publishing papers, automating and optimizing key processes. The role will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. Suitable candidate will collaborate closely both with the medical research team, software developers and AI research scientists. The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.
Primary Responsibilities
- Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products.
- Formulate and design AI capabilities of our stack with special focus on computer vision.
- Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment and relevant automations
- Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap.
- Organize regular reviews and discussions.
- Keep the team up-to-date with latest industrial and research updates.
- Publish research and clinical validation papers
Requirements
- 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
- Prior experience in leading and managing a team.
- 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)
- Background in publishing research papers and/or patents
- Computer Vision and AI Research background in medical domain will be a plus
- 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 the deadline
- Writing efficient, reusable, testable, and scalable code
- Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
- Integration of user-oriented elements into different applications, data storage solutions
- Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
- Designing and implementing – High availability and low latency applications, data protection and security features
- Performance tuning and automation of application
- Working with Python libraries like Pandas, NumPy, etc.
- Creating predictive models for AI and ML-based features
- Keeping abreast with the latest technology and trends
- Fine-tune and develop AI/ML-based algorithms based on results
Technical Skills-
Good proficiency in,
- Python frameworks like Django, etc.
- Web frameworks and RESTful APIs
- Core Python fundamentals and programming
- Code packaging, release, and deployment
- Database knowledge
- Circles, conditional and control statements
- Object-relational mapping
- Code versioning tools like Git, Bitbucket
Fundamental understanding of,
- Front-end technologies like JS, CSS3 and HTML5
- AI, ML, Deep Learning, Version Control, Neural networking
- Data visualization, statistics, data analytics
- Design principles that are executable for a scalable app
- Creating predictive models
- Libraries like Tensorflow, Scikit-learn, etc
- Multi-process architecture
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- Strong technical skills on UiPath, and end to end UiPath offerings
- Understanding of workflow-based logic and hands on experience with RE-framework.
- Excellent communication skill is a must
- Basic programming/Scripting knowledge on VBA/VB/java/C# script is must
- Knowledge in cognitive automation with OCR tools, AI/ML skills is a plus.
- Excellent software development background with any of the following (C#, C++, Java, .NET) is a plus
- Experience working on other RPA tools/vendors is a plus
- Experience in the field of Bot development
- UiPath RPA developer advanced certificate must.
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis.
You will be responsible for:
- Developing computer vision algorithms to detect key moments within popular online games
- Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them
- Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games
- Specifying exact requirements for training data sets, and working with analysts to create the data sets
- Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
- Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation
You should have the following qualities:
- Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis
- Experience using Python, TensorFlow, OpenCV and other computer vision tools
- Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc.
- Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others
- Familiarity with AWS environments
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
Skills:
Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python
Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets.
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply.
Understands the Customer Service. (CO1)
Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
- Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
- Should developing solutions using python in AI/ML projects
- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS
- Desired to have knowledge on any of container technology such as Docker
- Should be able to build strong relationships with project stakeholders
Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP
Sr Product Manager / Lead Product Manager – Data Platform
Description:
At Amagi we are looking for a product leader to build world class big data and analytics platform to help our teams in making data driven decisions and to accelerate our business outcomes.
We are looking for someone who is innovative and experienced in end-to-end product management to drive our long-term data and analytics strategy.
The ideal candidate would be responsible for owning product roadmap and KPIs, driving product operational tasks to ensure configurable and scalable solutions.
Primary Responsibilities:
- Lead the product requirements to build real time, highly scalable, low latency data platform.
- Author PRD and define the strategic roadmap.
- Lead the Product design, MVPs and POCs and fast track deliveries
- Collaborate with various functions and design the most effective solutions.
- Understand customer needs and define the data solutions and insights to drive business outcomes
- Define key product performance metrices to drive business and customer outcomes
Basic Qualification
- 12+ years of overall SDLC experience with 7+ years of product management experience in fast paced company.
- Proven experience delivering large scale highly available big data processing systems.
- Knowledge of data pipeline design, data transformation and integration methodologies.
- Technically savvy with experience in big data systems like AWS, RedShift, Athena, Kafka and related technologies
- Demonstrate collaborative approach and ability to work with distributed, cross functional teams.
- Experience in taking products through full life cycle, from proposal to launch
- Strategic thinking capabilities to define the product roadmap and right prioritization of the backlog in line with the long-term vision
- Strong communication and stakeholder management skills with the ability to coordinate across a diverse group of technical and non-technical stakeholders.
- Ability to deal with ambiguity and use data to solve ambiguous problems
- Technical ability to understand and discuss software architecture, product integration, non-functional requirements etc. with the Engineering team.
Preferred Qualification:
- Technically savvy with good understanding of cloud application development.
- Software development experience building Enterprise platforms
- Experience in third-party vendor assessments
- Experience working with AI , ML , Bigdata and analytics tools
- Understanding of regulations such as data privacy, data security and governance
at Meslova Systems Pvt Ltd
Artificial Intelligence (AI) Researchers and Developers
Successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products and intelligent 3D interface. Candidates will work on cutting edge products and technologies in highly challenging domains and will need to have highest level of commitment and interest to learn new technologies and domain specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods
Education Qualification: Bachelor, Master or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills
Location : Hyderabad, Bengaluru, Delhi, Client Location (as needed)
Skillset and Expertise
• Strong software development experience using Python
• Strong background in mathematical, numerical and scientific computing using Python.
• Knowledge in Artificial Intelligence/Machine learning
• Experience working with SCRUM software development methodology
• Strong experience with implementing Web services, Web clients and JSON protocol is required
• Experience with Python Meta programming
• Strong analytical and problem-solving skills
• Design, develop and debug enterprise grade software products and systems
• Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools
• Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local
Indian languages
• Ability to effectively communicate product design, functionality and status to management, customers and other stakeholders
• Highest level of integrity and work ethic
Frameworks
1. Scikit-learn
2. Tensorflow
3. Keras
4. OpenCV
5. Django
6. CUDA
7. Apache Kafka
Mathematics
1. Advanced Calculus
2. Numerical Analysis
3. Complex Function Theory
4. Probability
Concepts (One or more of the below)
1. OpenGL based 3D programming
2. Cryptography
3. Artificial Intelligence (AI) Algorithms a) Statistical modelling b.) DNN c. RNN d. LSTM e.GAN f. CN
Responsibilities
• Build high quality systems and applications that solve key challenges for the customer
• Collaborate with product management and engineering teams to elicit and understand their requirements, challenges and develop potential solutions
• Proactively identify areas of improvements, come up with innovative solutions, and drive adoption
• Push boundaries on infrastructure and cost optimisation, reusability, simplicity and scalability • Own significant engineering projects end-to-end
• Sign-off on all significant architectures and technical designs regardless of front-end or back-end.
• Translate business requirements to tangible engineering deliverables
• Setup and streamline processes and introduce best practices to improve the overall efficiency and throughput of the engineering team
• Be an effective mentor and help in building capacity in the larger team, strategize and work towards helping junior engineers grow
• Stay current with latest tools, technologies, methodologies and ideas; spread the knowledge and conduct effective POCs to demonstrate applicability and benefits
Requirements
• 15+ years of strong experience in developing highly scalable backend and middle tier enterprise applications.
• Strong experience with large volume batch and real-time data processing applications
• Experience building enterprise SaaS applications. Strong knowledge of AWS.
• Programming Languages: Java (must have), Python (good to have)
• BS/MS in Computer Science or equivalent from premier institutes
• Strong in problem solving, data structures and algorithm design.
• Clear Object Oriented Design and Design Pattern concepts
• Significant experience working with non-functional requirements such as performance, security, compliance, automation etc.
• Experience developing AI-based solutions is a big plus.
• Comfortable working in a fast paced startup environment.
• Strong communication and collaboration skills.
• Attention to detail
Glance – An InMobi Group Company:
Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!
Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).
What’s the Glance family like?
Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.
What can we promise?
We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.
What you will be doing?
Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners.
You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.
Basic Qualifications:
- Five+ years experience working in a Data Science role
- Extensive experience developing and deploying ML models in real world environments
- Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
- Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
- Experience in advanced math and statistics
- Excellent familiarity with command line linux environment
- Able to understand various data structures and common methods in data transformation
- Experience deploying machine learning models and measuring their impact
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Preferred Qualifications
- Experience developing recommendation systems
- Experience developing and deploying deep learning models
- Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
- Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
- Experience with being actively engaged in data science or other research-oriented position
- You would be comfortable collaborating with cross-functional teams.
- Active personal GitHub account.
What you’ll do:
- Will have a unique and rewarding opportunity to shape and design an app with a huge impact on the Automotive industry
- Write highly scalable software in Swift ad Kotlin with a focus on reusability and efficiency
- Work with some of the best people in the industry to build and maintain compelling user experiences
- Working with iOS Frameworks such as AVFoundation/video streaming, CoreML
- Work with open-source multimedia projects, such as FFmpeg
What you’ll bring:
- 5+ years of iOS/Android development.
- Strong background in software engineering with large-scale apps
- Experience with iOS/Android SDKs
- Expert knowledge of XCode/AppCode IDE, build and distribution processes
- Experience writing multi-threaded/asynchronous code
- Creative and innovative problem-solving skills with a passion for new technologies
- Strong team player and ability to work without many directions when needed
Bonus points for:
- B.Sc./M.Sc. in Computer Science or related fields
- Knowledge of C/C++
- Background/experience in AI (e.g. deep learning, computer vision)
- Contributions to community software
Note: We are looking for immediate joiners. Selected/Offered candidates can ready to join within 15 to 30 days of time can apply.
Product Engineering MNC (FinTech Domain)
Role : Sr Data Scientist / Tech Lead – Data Science
Number of positions : 8
Responsibilities
- Lead a team of data scientists, machine learning engineers and big data specialists
- Be the main point of contact for the customers
- Lead data mining and collection procedures
- Ensure data quality and integrity
- Interpret and analyze data problems
- Conceive, plan and prioritize data projects
- Build analytic systems and predictive models
- Test performance of data-driven products
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Requirements (please read carefully)
- Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
- Msc-Statistics/ Phd.Statistics
- Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
- Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
- Proven experience as a Data Scientist or similar role, for about 7-8 years
- Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
- Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
- Knowledge of data management and visualization techniques --- more from a Data Science perspective.
- Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
- Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.
http://www.altimetrik.com/">http://www.altimetrik.com
https://www.youtube.com/watch?v=3nUs4YxppNE&feature=emb_rel_end">https://www.youtube.com/watch?v=3nUs4YxppNE&feature=emb_rel_end
https://www.youtube.com/watch?v=e40r6kJdC8c">https://www.youtube.com/watch?v=e40r6kJdC8c
at Synapsica Technologies Pvt Ltd
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
- Key Responsibilities : Use cases to support use case analysis E2E, define capabilities, understand the data and model Machine Learning Operations MLOps Azure Machine Learning, Azure Cognitive Services, Azure DevOps, Overall Azure Cloud Experience, Powershell, DSVM, AML Compute / Training Clusters Azure Infrastructure Experience, Python, Big Data Python Scripting 8 Automate ML models deployments, Manage, monitor, troubleshoot machine learning infrastructure and Setup ML Pipe lines
- Technical Experience : Proven skills experience in Azure AI ML solution design and architecture based solution using Azure Cloud capabilities AML / AKS Proven record of embedding advanced analytical models into business processes Collaborate in multi-functional teams to evaluate business activities, and then develop innovative and effective approaches to tackle teams analytics problems and communicate results bitbucket, Nodejs, PowerBI SQL, Python
- Experience in setting up MLOps framework for AI ML team
MTX Group Inc. is seeking a motivated AI Solution Architect to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.
Responsibilities:
- Creative translation of business needs into a conceptual, logical and physical architecture design of the solution
- Collaboration with the technical teams needed to deliver the design
- Leading architecture and design competency for the automation technology stack
- Strategic direction for maximizing simplification and re-use lowering overall TCO
- Creation of solutions which adhere to Enterprise Architecture, Development, and Information Risk Management standards and policies
- Collaboration with developers and engineering teams resolving the most challenging tasks ensuring the proposed design is properly implemented.
- Proactively identify and address technical strengths, weaknesses, opportunities and threats across the automation landscape
- Strategy for managing the changes to the architecture (new business needs, technology changes, etc.)
- Explain architecture standards and recommendation to business partners and drive alignment
What you will bring:
- Minimum 5 years of hands-on experience in the IT field, at least 3 years in IT architecture
- Solid experience as solution and platform architect, providing technical leadership and guidance designing enterprise software.
- Proven track record at managing multiple projects in fast paced cross-functional team environment.
- 1+ year year experience working with chatbots is a plus
- 2+ years hands-on experience with Microsoft Azure and Amazon Web Services
- Working knowledge of Machine Learning, techniques, algorithms, natural language processing
- Certifications in multiple cloud platforms is ideal
- 2+ years of experience working in an Agile Scrum / DevOps development methodology.
What we offer:
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
- Sum Insured: INR 5,00,000/-
- Maternity cover upto two children
- Inclusive of COVID-19 Coverage
- Cashless & Reimbursement facility
- Access to free online doctor consultation
- Personal Accident Policy (Disability Insurance) -
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of upto Rs. 1,000
- Opportunity to pursue Executive Programs/ courses at top universities globally
- Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others
MTX Group Inc. is seeking a motivated Technical Lead - AI to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.
Responsibilities:
- Extensive research and development of new AI/ML techniques that enables learning
the semantics of data (images, video, text, audio, speech, etc)
- Improving the existing ML and DNN models and products through R&D on cutting edge technologies
- Collaborate with Machine Learning teams to drive innovation of complex and accurate cognitive system
- Collaborate with Engineering and Core team to drive innovation of scalable ML and AI serving production platforms
- Create POCs to quickly test a new model architecture and create improvement over an existing methodology
- Introduce major innovations that can result in better product features and develop strategies and plans required to drive these
- Lead a team and collaborate with product managers, tech review complex implementations and provide optimisation best practices
What you will bring:
- 4-6 years of Experience
- Experience in neural networks, graphical models, reinforcement learning, and natural language processing
- Experience in Computer Vision techniques and image detection neural network models like semantic segmentation, instance segmentation, object detection, etc
- In-depth understanding of benchmarking, parallel computing, distributed computing, machine learning, and AI
- Programming experience in one or more of the following: Python, C, C++, C#, Java, R, and toolkits such as Tensorflow, Keras, PyTorch, Caffe, MxNet, SciPy, SciKit, etc
- Ability to perform research that is justified and guided by business opportunities
- Demonstrated successful implementation if industry grade AI solutions in the past
- Ability to lead a team of AI engineers in an agile development environment
What we offer:
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
- Sum Insured: INR 5,00,000/-
- Maternity cover upto two children
- Inclusive of COVID-19 Coverage
- Cashless & Reimbursement facility
- Access to free online doctor consultation
- Personal Accident Policy (Disability Insurance) -
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of upto Rs. 1,000
- Opportunity to pursue Executive Programs/ courses at top universities globally
- Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others
About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.
In this role, you will design the approach, develop and test machine learning algorithms, implement the solution. The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving. Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Design, build, test, and implement predictive Machine Learning models.
- Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
- Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
- Collaborate cross-functionally with domain experts to identify gaps and structural problems.
- Contribute to standard business processes and practices as part of a community of practise.
- Be the subject matter expert across multiple work streams and clients.
- Mentor and coach team members.
- Set a clear vision for the team members and working cohesively to attain it.
Qualifications and Skills:
Requirements
- Experience / Education:
- Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related
- 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
- Highly technical:
- Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
- Understanding of data structures and data modeling.
- Effective communication and presentation skills
- Able to collaborate closely and effectively with teams.
- Experience in time series forecasting is preferred.
- Experience working in start-up type environment preferred.
- Experience in CPG and/or Retail preferred.
- Effective communication and presentation skills.
- Strong management track record.
- Strong inter-personal skills and leadership qualities.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
- Design, build reliable and scalable automated processes for large scale machine learning.
- Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.
- Collaborate with Business, Technology and Product teams to stand-up MLOps process.
- Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
- Deep dive into complex algorithmic and product issues in production
- Own metrics and reporting for delivery team.
- Set a clear vision for the team members and working cohesively to attain it.
- Mentor and coach team members
Qualifications and Skills:
Requirements
- Engineering degree in any stream
- Has at least 7 years of prior experience in building ML driven products/solutions
- Excellent programming skills in any one of the language C++ or Python or Java.
- Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
- Developed and productized large-scale models/algorithms in prior experience
- Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Good verbal, written and presentation skills.
- Ability to learn new skills and technologies.
- 3+ years working with retail or CPG preferred.
- Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
- Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding
- Read and keep up with the research in Speech recognition, Machine Learning, Deep
- Understand and implement research papers to the business problem and build the
- Contribute to applied research and open source community
- Mentor and guide team members
at Lincode Labs India Pvt Ltd
Responsibilities:
- Develop REST/JSON API’s Design code for high scale/availability/resiliency.
- Develop responsive web apps and integrate APIs using NodeJS.
- Presenting Chat efficiency reports to higher Management
- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.
- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.
- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis
- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.
- Developing Conversational Flows in the chatbot
- Calculating Chat efficiency reports.
Good to Have:
- Monitors performance and quality control plans to identify performance.
- Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices.
- Works with management to prioritize business and information needs.
- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.
- Identifies, analyzes, and interprets trends or patterns in complex data sets.
- Ability to manage multiple assignments.
- Understanding of ChatBot Architecture.
- Experience of Chatbot training
We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and 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.
Skills:
- Experience in predictive modelling and predictive software development
- Skilled in Java, C++, Perl/Python (or similar scripting language)
- Experience in using R, Matlab, or any other statistical software
- Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
- Strong communication and data presentation skills
- Classification (svm, decision tree, random forest, neural network)
- Regression (linear, polynomial, logistic, etc)
- Classical Optimization(gradient descent, newton raphson, etc)
- Graph theory (network analytics)
- Heuristic optimisation (genetic algorithm, swarm theory)
- Deep learning (lstm, convolutional nn, recurrent nn)
Must Have:
- Experience: 3-9 years
- The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
- The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
- Preferred experience with large data sets & distributed computing in Hadoop ecosystem
- Fluency with databases
About Us
Design is at the heart of everything we do. We are ambitious to build a great global brand and we also take a lot of pride in having built a world-class product and continue to do so in a cutting edge field like Natural Language Understanding. Across both, design has played a crucial role so far and it will continue to be one of the most important hires for interface. Hence you will be working directly with the CEO.
Today, interface provides an out-of-the-box AI Assistant that acts as a “Personal Bank Teller” to help customers 24x7 through every step of the journey from a prospect to a customer. It is used by several financial institutions (FIs) across 5 countries spanning millions of conversations. Our customers have already witnessed over $50M+ ROI in just under 12 months.
Our vision is to put an AI-powered Personal Banking Assistant in everyone's pocket that not only helps with day-to-day banking needs but also helps with financial education to help each individual achieve financial wellness.
As a Lead Product Designer you will be in charge of :
- Platform - Our platform is a suite of tools that makes the underlying core technology usable for FIs and there are certain parts that will also be used by the customers of the FIs. So you have an opportunity to design for both B2B and B2C.
- Branding - All design aspects of creating, evolving and maintaining the brand
- Conversation Design Principles - You will create and own the Conversation Design Principles, which will be used by the rest of the teams to design how our AI Assistant will converse.
You can be a great fit if you are :
- Extremely self-motivated
- Ability to learn quickly
- Growth mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322">link)
- Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766">link)
- Passionate about the possibilities at the intersection of AI + Banking
- Worked in a startup of 5 to 30 employees
- Think like an engineer, empathize like an end-user
- 4+ years of experience in SaaS Product Design
- Experience in owning Product and Branding as a Full Stack Designer
- Experience in owning Conversation Design Principles previously is a plus otherwise you are a native English speaker who has an eye for UX with words and worry the UI/UX as we know today will not exist soon :)
At interface, just like many other companies, we have made mistakes as we grow. But we have learnt from it and have gotten better. And we thank all of our employees who provided genuine feedback on the forums like Glassdoor. For others, it has become a punching bag of sorts specifically former employees who have had short tenures with us. If this bothers you, we understand. But people who typically work in startups understand this happens.
We recommend you reach out to any of our employees who have stayed with us over an extended period if you would like to get an unbiased view if necessary.
About Clari
Clari uses AI and automation to drive growth and retention for high-performing revenue teams. Clari’s Revenue Operations platform is currently processing over $300 billion in pipeline, and is used by over 50,000 marketing, sales and customer success professionals across 170 countries. Customers include market leaders like Symantec, Adobe, Alteryx, Workday, Lenovo, Zoom, Medallia, Alteryx and hundreds of others. Clari harvests and analyzes activity signals from dozens of different business systems, including email, calendar, CRM, marketing automation, to shorten sales cycles, increase win rates, and make revenue more predictable.
The result is passionate and frankly humbling customer loyalty. We consistently hear from our customers how we’ve changed their lives - just check out the reviews on https://www.g2crowd.com/products/clari/reviews">G2 Crowd. It never gets old, and we never take it for granted.
Clari is looking for several key experienced engineering who will focus on implementing many different areas of our solution, including but not limited to our overall web architecture, core application features such as data science driven analytics, user management, content management, social graph integration, personalization, emails, collaboration systems and enterprise content repositories as well as on unstructured data analytics, machine learning and our relevance engine.
Join our core applications team where you’ll work with truly remarkable colleagues on highly diverse, complex, and relevant problems while building scalable applications designed to service millions of mobile and web-based information workers. You’ll work closely with product managers, designers, and others in a cross functional environment on multiple projects, from concept phase through testing, launch and ongoing operations.
We work in an open, collaborative environment and seek exceptional developers who enjoy problem solving and straying outside the routine. You will also contribute to the growth of Clari by being a Brand Ambassador and assist in the hiring of great talent.
Qualifications
- 3+ years of professional server development experience using Java or similar object-oriented language
- Strong understanding of web-based architecture - web servers, load balancing, caching, databases etc.
- Basic knowledge of SQL (Postgres, MySQL) and NoSQL databases (MongoDB)
- Experience developing data driven web applications
- Up-to-date knowledge of latest trends in web application development, including Amazon AWS ecosystem
- Experience building and using RESTful APIs
Nice to Have
- Experience with multi-threading, replication etc. concepts in cloud applications
- Familiarity with large scale business intelligence applications
- Familiarity of JavaScript and other web technologies such as React
Why Clari?
Because we have a big mission, a winning product and an amazing fan base of passionate customers.
We’re changing the world and having a lot of fun on the way. Clari is a fun and fast-growing Silicon Valley company. Clari is one of Inc. Magazine’s best places to work in the US and was named as a 2019 Top Bay Area Workplace for the 5th consecutive year. In October 2019, we closed $60M in Series D funding and are growing at 200%. Our product is a winner - we have perennially been given the highest overall rating in G2 Crowd’s Top 20 Sales Analytics Software. We’re backed by top tier investors including Sequoia Capital, Bain Capital, Sapphire Ventures, Madrona Venture Group and Tenaya Capital, and have a superb and supportive board.
Our team is made up of veteran entrepreneurs, brilliant engineers, and tried-and-true sales professionals who have done this before and want to do it again, this time only bigger.
What’s left to add? You.
at Artivatic
at Artivatic
at Artivatic
at Lincode Labs India Pvt Ltd
This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.