Data Science
Machine Learning (ML)Data driven decision-making is core to advertising technology at AdElement. We are looking for sharp, disciplined, and highly quantitative machine learning/ artificial intellignce engineers with big data experience and a passion for digital marketing to help drive informed decision-making. You will work with top-talent and cutting edge technology and have a unique opportunity to turn your insights into products influencing billions. The potential candidate will have an extensive background in distributed training frameworks, will have experience to deploy related machine learning models end to end, and will have some experience in data-driven decision making of machine learning infrastructure enhancement. This is your chance to leave your legacy and be part of a highly successful and growing company.
Required Skills
- 3+ years of industry experience with Java/ Python in a programming intensive role
- 3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, graph mining, deep learning
- 3+ years of industry experience with distributed computing frameworks such as Hadoop/Spark, Kubernetes ecosystem, etc
- 3+ years of industry experience with popular deep learning frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, etc
- 3+ years of industry experience with major cloud computing services
- An effective communicator with the ability to explain technical concepts to a non-technical audience
- (Preferred) Prior experience with ads product development (e.g., DSP/ad-exchange/SSP)
- Able to lead a small team of AI/ML Engineers to achieve business objectives
Responsibilities
- Collaborate across multiple teams - Data Science, Operations & Engineering on unique machine learning system challenges at scale
- Leverage distributed training systems to build scalable machine learning pipelines including ETL, model training and deployments in Real-Time Bidding space.
- Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks
- Research state-of-the-art machine learning infrastructures to improve data healthiness, model quality and state management during the lifecycle of ML models refresh.
- Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks.
- Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.
- Work with top management on defining teams goals and objectives.
Education
- MTech or Ph.D. in Computer Science, Software Engineering, Mathematics or related fields
Subodh Popalwar
Software Engineer, Memorres
About AdElement
AdElement is an online advertising startup based in Pune. We do AI driven ad personalization for video and display ads. Audiences are targeted algorithmically across biddable sources of ad inventory through real time bidding. We are looking to grow our teams to meet the rapidly expanding market opportunity.
Similar jobs
Machine Learning (ML)Data Science
Python
Java
C++As a part of WWS, your expertise in machine learning helps us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and situating them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
What We Expect
- A Bachelor's/Master's degree in IT, computer science, or an advanced related field is preferred.
- At least 3+ years of experience working with ML libraries and packages.
- Familiarity with coding and programming languages, including Python, Java, C++, and SAS.
- Strong experience in programming and statistics.
- Well-versed in Data Science and neural schematics in networking and software.
- Flexibility in shifts is appreciated.
A Full Stack Developer’s Ideal Day At WWS
Design and Develop. The primary protocols include implementing machine learning algorithms and running AI systems experiments and tests. The Designing and development of machine learning systems along with performing statistical analyses falls under day to day activities of the developer.
Algorithm Assertion. The engineers act as critical members of the data science team as their tasks involve researching, asserting, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
Research and Development. To analyze large, complex datasets and extract insights and decide on the appropriate technique. research and implement best practices to improve the existing machine learning infrastructure. At most providing support to engineers and product managers in implementing machine learning as the product.
What You Can Expect
- Full-time, salaried positions creamed with welfare programs.
- Competitive salary and tailored training in the core space with recognition potential and annual bonus.
- Periodic performance appraisals.
- Attendance Incentives.
- Working with the best and budding talent in the industry.
- A conducive intangible environment with dynamic benefits.
Why Consider Machine Learning Engineer as a career with WWS?
With a very appealing work environment at WWS, our setting made it easier to build relationships with other staff members and clients. You may also have an opportunity to learn other aspects of environmental office work on the job, which can enhance your experience and qualifications.
Many businesses must proactively react to changing factors — like patterns of customer behavior or prices. Tracking model performance and retraining it once fresher data is available is key to success. This falls under the MLE range of responsibilities for which the requirement has been crucial for many organizations.
Please attach your resume and let us know through email your current address, phone number, and the best time to contact you by phone.
Apply To this Job
Lead Data Engineer
Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution.
Job responsibilities
· You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems
· You will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challenges
· You will collaborate with Data Scientists in order to design scalable implementations of their models
· You will pair to write clean and iterative code based on TDD
· Leverage various continuous delivery practices to deploy, support and operate data pipelines
· Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
· Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
· Create data models and speak to the tradeoffs of different modeling approaches
· On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product
· Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
· Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes
Job qualifications Technical skills
· You are equally happy coding and leading a team to implement a solution
· You have a track record of innovation and expertise in Data Engineering
· You're passionate about craftsmanship and have applied your expertise across a range of industries and organizations
· You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop
· You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
· Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
· You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
· You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments
· Working with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems
Professional skills
· Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineers
· You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
· An interest in coaching others, sharing your experience and knowledge with teammates
· You enjoy influencing others and always advocate for technical excellence while being open to change when needed
Machine Learning (ML)Data Science● Statistics - Always makes data-driven decisions using tools from statistics, such as: populations and
sampling, normal distribution and central limit theorem, mean, median, mode, variance, standard
deviation, covariance, correlation, p-value, expected value, conditional probability and Bayes's theorem
● Machine Learning
○ Solid grasp of attention mechanism, transformers, convolutions, optimisers, loss functions,
LSTMs, forget gates, activation functions.
○ Can implement all of these from scratch in pytorch, tensorflow or numpy.
○ Comfortable defining own model architectures, custom layers and loss functions.
● Modelling
○ Comfortable with using all the major ML frameworks (pytorch, tensorflow, sklearn, etc) and NLP
models (not essential). Able to pick the right library and framework for the job.
○ Capable of turning research and papers into operational execution and functionality delivery.
Data ScienceJava- Manages the delivery of large, complex Data Science projects using appropriate frameworks and collaborating with stake holders to manage scope and risk. Help the AI/ML Solution
- Analyst to build solution as per customer need on our platform Newgen AI Cloud. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence.
Work location: Gurugram
Key Responsibilities:
1 Collaborate/contribute to all project phases, technical know to design, develop solutions and deploy at customer end.
2 End-to-end implementations i.e. gathering requirements, analysing, designing, coding, deployment to Production
3 Client facing role talking to client on regular basis to get requirement clarification
4. Lead the team
Core Tech Skills: Azure, Cloud Computing, Java/Scala, Python, Design Patterns and fair knowledge of Data Science. Fair Knowledge of Data Lake/DWH
Educational Qualification: Engineering graduate preferably Computer since graduate
Data SciencePython
R Programming- Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher.
- Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
- Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as
- Working on Basic Statistical Analysis such as:T-Test &Correlation
- Performing more complex data analysis processes through Machine Learning technique such as:
- Classification
- Regression
- Clustering
- Text
- Analysis
- Neural Networking
- Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use.
- Working on Statistical and mathematical modelling, application of ML and AI algorithms
What you need to have:
- Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience.
- An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.
serving its customers with one of a kind enterprise HR Chatbot experience. LeenaAI has raised over $35 Mn from top Silicon Valley investors like Bessemer, Greycroft,
YCombinator, Elad Gil etc. Leena is being used by over 2000,000 employees globally in
companies like Coca-Cola, Sony, Tata Technologies, Marico, Vodafone, Cipla etc. and are
growing exponentially fast.
Job Description:
1. Build & Design conversational chatbots that can be directly deployed
for usage by a large volume of customers.
2. Build a training data for our machine learning engine to understand user queries.
3. Build FAQs from company policies.
4. Once system is live, need to debug the negative cases and correct it in the training data
built.
5. Manage End to End lifecycle of the data in the system till it achieves more than 90%
accuracy.
6. Build a master dataset of all the queries that comes into the system.
Requirements :
1. Adequate verbal communication skills in English. Ability to articulate
the solutions in simple & clear language.
2. Good analytical skills
3. Experience in handling customer queries/worked in chat support
4. Logical knowledge to make control flows.
5. Hands on experience in Microsoft Excel, Microsoft Word
Good to have:
1. Knowledge/Experience in building Chatbots using publicly available bot
platforms like Dialogflow, Microsoft Bot Framework, etc
Machine Learning (ML)PythonWe are building a global content marketplace that brings companies and content
creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands.
Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands.
Our Team
We are a 25+ member company and is scaling up rapidly in both team size and our ambition.
If we were to define the kind of people and the culture we have, it would be -
a) Individuals with an Extreme Sense of Passion About Work
b) Individuals with Strong Customer and Creator Obsession
c) Individuals with Extraordinary Hustle, Perseverance & Ambition
We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring
a company that can outlast its builders and create a massive impact on the lives of our
employees, creators, and customers alike.
Our Investors
We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.
Backed by Lightspeed Venture Partners
Job Responsibilities:
● Design, develop, test, deploy, maintain and improve ML models
● Implement novel learning algorithms and recommendation engines
● Apply Data Science concepts to solve routine problems of target users
● Translates business analysis needs into well-defined machine learning problems, and
selecting appropriate models and algorithms
● Create an architecture, implement, maintain and monitor various data source pipelines
that can be used across various different types of data sources
● Monitor performance of the architecture and conduct optimization
● Produce clean, efficient code based on specifications
● Verify and deploy programs and systems
● Troubleshoot, debug and upgrade existing applications
● Guide junior engineers for productive contribution to the development
The ideal candidate must -
ML and NLP Engineer
● 4 or more years of experience in ML Engineering
● Proven experience in NLP
● Familiarity with language generative model - GPT3
● Ability to write robust code in Python
● Familiarity with ML frameworks and libraries
● Hands on experience with AWS services like Sagemaker and Personalize
● Exposure to state of the art techniques in ML and NLP
● Understanding of data structures, data modeling, and software architecture
● Outstanding analytical and problem-solving skills
● Team player, an ability to work cooperatively with the other engineers.
● Ability to make quick decisions in high-pressure environments with limited information.
Machine Learning (ML)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
Machine Learning (ML)
Deep LearningJavaPythonRequired skill
- Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
- Extensive experience in designing large scale machine learning solution for the ML use case, large scale deployments and establishing continues automated improvement / retraining framework.
- Strong experience in Python and Java is required.
- Hands on experience on Scikit-learn, Pandas, NLTK
- Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
- Experience in Regression, Clustering, classification algorithms
- Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
- Experience in AutoML like TPOT or other
- Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch
- Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
- Understanding of Financial domain is desirable skill
Responsibilities
- Design and implementation of solutions for ML Use cases
- Productionize System and Maintain those
- Lead and implement data acquisition process for ML work
- Learn new methods and model quickly and utilize those in solving use cases
Data AnalyticsMachine Learning (ML)
Follow CutshortSubodh Popalwar
Software Engineer, Memorres