AI Engineer

at StatusNeo

DP
Posted by Alex P
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Gurugram, Hyderabad, Bengaluru (Bangalore)
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1 - 3 yrs
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₹3L - ₹12L / yr
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Full time
Skills
Artificial Intelligence (AI)
Amazon Web Services (AWS)
Windows Azure
Hadoop
Scala
Python
Google Cloud Platform (GCP)
postgres


·       Build data products and processes alongside the core engineering and technology team.

·       Collaborate with senior data scientists to curate, wrangle, and prepare data for use in their advanced analytical models

·       Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards

·       Modify and improve data engineering processes to handle ever larger, more complex, and more types of data sources and pipelines

·       Use Hadoop architecture and HDFS commands to design and optimize data queries at scale

·       Evaluate and experiment with novel data engineering tools and advises information technology leads and partners about new capabilities to determine optimal solutions for particular technical problems or designated use cases .
Read more

About StatusNeo

Striving for excellence is in our DNA.

We are more than just specialists; we are experts in agile software development with a keen focus on Cloud Native D3 (Digital, Data, DevSecOps. We help leading global businesses imagine, design, engineer, and deliver software and digital experiences that change the world.

 

Headquartered in Princeton, NJ (United States) we are multinational company that is growing fast . This role is based out of our India setup. 

We believe that we are only as good as the quality of our people. Our offices are digital pods. Our clients are fortune brands. We’re always looking for the most talented and skilled teammates. Do you have it in you?

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Founded
2020
Type
Products & Services
Size
100-1000 employees
Stage
Profitable
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What is in it for you: 

 

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  • An opportunity to be a part of a young and energetic team with a strong pedigree. 
  • Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

 

Please Note:  

 

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions. 

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      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

As a Principal Data Scientist, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,

from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 8+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
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Tableau
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bachelor’s degree or equivalent experience
● Knowledge of database fundamentals and fluency in advanced SQL, including concepts
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Raksha Pant

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Founded 2015  •  Product  •  100-500 employees  •  Raised funding
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Python
Data Science
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Pune
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  • The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
  • Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

  • Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
  • Three years of industry work experience, developing data mining models which were deployed and used.
  • Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
  • Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

  • Soft Skills
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    • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
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    • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
    • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
    • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
    • OpenCV or other image processing tools or libraries
    • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
    • Decision trees like XGBoost or Random Forests is helpful.
    • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
    • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
    • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
    • Experience with PMML is of interest (see www.DMG.org).
  • Vertical experience in Industrial Internet of Things (IoT) applications:
    • Energy: Oil and Gas, Wind Turbines
    • Manufacturing: Motors, chemical processes, tools, automotive
    • Smart Cities: Elevators, cameras on population or cars, power grid
    • Transportation: Cars, truck fleets, trains

 

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/

  • 2019 Edge Computing Company of the Year – Compass Intelligence
  • 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
  • 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
  • 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
  • 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
  • 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
  • 2018 The 10 Most Innovative AI Solution Providers – Insights Success
  • 2018 The AI 100 – CB Insights
  • 2017 Cool Vendor in IoT Edge Computing – Gartner
  • 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

  • We care about “best practices”
  • Have a direct impact on the company’s revenue
  • Give or receive mentoring as part of the collaborative process
  • Questions and challenging the status quo with data is safe
  • Intellectual curiosity balanced with humility
  • Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning

 

Read more
Job posted by
Abhishek Vijayvargia

Technical Architect

at E-Commerce Product Based Company

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Technical Architecture
Big Data
IT Solutioning
Python
Rest API
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Bengaluru (Bangalore)
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8 - 15 yrs
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₹15L - ₹30L / yr

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  • Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality
  • Build robust RESTful APIs that serve data and insights to DataWeave and other products
  • Design user interaction workflows on our products and integrating them with data APIs
  • Help stabilize and scale our existing systems. Help design the next generation systems.
  • Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
  • Work closely with the Head of Products and UX designers to understand the product vision and design philosophy
  • Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns.
  • Constantly think scale, think automation. Measure everything. Optimize proactively.
  • Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.

 

Skills and Requirements

  • 8- 15 years of experience building and scaling APIs and web applications.
  • Experience building and managing large scale data/analytics systems.
  • Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices.
  • Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python.
  • Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on.
  • Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
  • Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic.
  • Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
  • Use the command line like a pro. Be proficient in Git and other essential software development tools.
  • Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
  • Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc.
  • Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies.
  • Working knowledge linux server administration as well as the AWS ecosystem is desirable.
  • It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
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Job posted by
BasavRaj P S

Computers vision freshers

at OpexAI

Founded 2017  •  Products & Services  •  20-100 employees  •  Profitable
OpenCV
Python
Deep Learning
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Hyderabad
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0 - 1 yrs
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₹0L - ₹1L / yr
Benefits: 1)Working with leaders of analytics Guru 2) working under 25+ years of business exp leaders 3) learning to market and sales pitch for product using social media 4) work from home based on your time 5) exp letter from leading analytics firm for 3 months 6) no stiphen
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Job posted by
Jasmine Shaik
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