This is NOT remote work position and the selected candidate is expected to commute to the office location in Navi Mumbai.
Job Description
- Implement and deliver a product in the healthcare domain using machine learning and AI capabilities
- Ability to work on challenging tasks
- Ability to research ways of doing things efficiently
- Keen approach to problem solving
- Strong experience in statistics, python, SQL, NLP and predictiv modeling
Basic Qualifications
- Bachelors Degree with a total of 9+ years of experience in software development with 2-3 years experience in Data Science
- Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding
- Well versed with necessary data preprocessing and feature engineering skills
- Background in healthcare IT space will be preferred
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Have 2 to 6 years of experience working in a similar role in a startup environment
SQL and Excel have no secrets for you
You love visualizing data with Tableau
Any experience with product analytics tools (Mixpanel, Clevertap) is a plus
You solve math puzzles for fun
A strong analytical mindset with a problem-solving attitude
Comfortable with being critical and speaking your mind
You can easily switch between coding (R or Python) and having a business
discussion
Be a team player who thrives in a fast-paced and constantly changing environment
1.Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep
learning
frameworks like Tensorflow, Theano, Keras, Pytorch
2. Proficiency with modern statistical modeling (regression, boosting trees, random forests,
etc.),
machine learning (text mining, neural network, NLP, etc.), optimization (linear
optimization,
nonlinear optimization, stochastic optimization, etc.) methodologies.
3. Build complex predictive models using ML and DL techniques with production quality
code and jointly
own complex data science workflows with the Data Engineering team.
4. Familiar with modern data analytics architecture and data engineering technologies
(SQL and No-SQL databases)
5. Knowledge of REST APIs and Web Services
6. Experience with Python, R, sh/bash
Required Skills (Non-Technical):-
1. Fluent in English Communication (Spoken and verbal)
2. Should be a team player
3. Should have a learning aptitude
4. Detail-oriented, analytical and inquisitive
5. Ability to work independently and with others
6. Extremely organized with strong time-management skills
7. Problem Solving & Critical Thinking
Required Experience Level :- Senior level- 4+Years
Work Location : Pune preferred, Remote option available
Work Timing : 2:30 PM to 11:30 PM IST
We are a 20-year old IT Services company from Kolkata working in India and abroad. We primarily work as SSP(Software Solutions Partner) and serve some of the leading business houses in the country in various software project implementations specially on SAP and Oracle platform and also working on Govt & Semi Govt projects as outsourcing partner all over PAN India.
Can be anywhere in India ( Mumbai ,Pune and Kolkata is
preferable)
JD
Machine Learning/Deep Learning experience above 3
years
- Clear and structured thinking and communication
Keywords: Machine Learning, Deep Learning, AI,
Regression, Classification, Clustering, NLP, CNN, RNN,
LSTM, AutoML, k-NN, Naive Bayes, SVM, Decision
Forests
- Understand granular requirement, underlying business
problem and convert to low level design
- Develop analytic process chain with pre-processing,
training, testing, boosting etc.
- Develop the technical deliverable in mcube
(Python/Spark ML/R, H2O/Tensorflow) as per design
- Ensure quality of deliverable (coding standards, data
quality, data reconciliation)
- Proactively reach out for risks to Technical Lead
- Machine Learning, Deep Learning, Regression,
Classification, Clustering, NLP,CNN, RNN
- Expertise in data analysis and analytic programming
(Python/R/ SparkML/Tensorflow)
- Experience in multiple data processing technology
(preferably Pentaho or Spark)
- Basic knowledge in effort estimation, Clear and
structured thinking and communication
- Expertise in testing accuracy of deliverables (model)
- Exposure to Data Modelling and Analysis
- Exposure to information delivery (model outcome
communication)
Qualification:
M.S. / M.Tech/ B.Tech / B.E. (in this order of preference)
- Masters course in Data Science after technical (engineering/
science) degree
-
Understand long-term and short-term business requirements to precision match it with the capabilities of different distributed storage and computing technologies from the plethora of options available in the ecosystem.
-
Create complex data processing pipelines
-
Design scalable implementations of the models developed by our Data Scientist.
-
Deploy data pipelines in production systems based on CICD practices
-
Create and maintain clear documentation on data models/schemas as well as
transformation/validation rules
-
Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers
We celebrate diversity, embrace a data-driven culture, and deeply encourage professional development through classes, certifications, and conferences. The reciprocity of sharing knowledge and growth with each other, our clients, and partners is a foundation we live by. Employees at Shyftlabs enjoy unlimited paid time off, 11 paid holidays, comprehensive health, vision, and dental benefits, and profit-sharing.
Key Responsibilities
- Design, implement and operate stable, scalable, low-cost solutions to flow data from production systems into the data lake and into end-user-facing applications.
- Design automated processes for in-depth analysis databases.
- Design automated data control processes.
- Collaborate with the software development team to build and test the designed solutions.
- Learn, publish, analyze and improve management information dashboards, operational business metrics decks, and key performance indicators.
- Improve tools, and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.
- Provide in-depth analysis to management with the support of accounting, finance, and transportation teams.
- Perform monthly variance analysis and identify risks & opportunities.
Basic Qualifications
- 3+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
Preferred Qualifications
- Degree in Computer Science, Engineering, Mathematics, or a related field and 4+ years of industry experience
- Graduate degree in Computer Science, Engineering or related technical field
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Proficiency with at least one Object Oriented language (e.g. Java, Python, Ruby)
- Strong customer focus, ownership, urgency, and drive.
- Excellent communication skills and the ability to work well in a team.
- Effective analytical, troubleshooting, and problem-solving skills.
- Experience building data products incrementally and integrating and managing datasets from multiple sources
- Experience with AWS Tools and Technologies (Redshift, S3, EC2, Glue)
- Expertise with Data modeling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases
- Experience with Snowflake
About Us
Zupee is India’s fastest-growing innovator in real money gaming with a focus on predominant skill-focused games. Started by 2 IIT-Kanpur alumni in 2018, we are backed by marquee global investors such as WestCap Group, Tomales Bay Capital, Matrix Partners, Falcon Edge, Orios Ventures, and Smile Group.
Know more about our recent funding: https://bit.ly/3AHmSL3
Our focus has been on innovating in the board, strategy, and casual games sub-genres. We innovate to ensure our games provide an intersection between skill and entertainment, enabling our users to earn while they play.
Location: We are location agnostic & our teams work from anywhere. Physically we are based out of Gurugram
Core Responsibilities:
- Responsible for designing, developing, testing, and deploying ML models that can leverage multiple signal sources, to build a personalized user experience
- Work closely with the business stakeholders to identify the potential Data science applications
- Contribute by doing opportunity analysis, building project proposals, designing and implementation of ML projects, in the areas of Ranking, Embeddings, Recommendation engines, etc
- Collaborate with software engineering teams to design experiments, model implementations, and new feature creation
- Clearly communicate technical details, strategies, and outcomes to a business audience
What are we looking for
- 4+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.
- Previous experience in model deployment, model monitoring, optimization and model interpretability.
- Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms
- Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc.
- Solid understanding of Python and common machine learning frameworks such as XGBoost, scikit-learn, PyTorch/Tensorflow
- Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
- Technology-driven mindset, up-to-date with digital and technology literature, trends.
- Must have knowledge of Experimentation and Basic Statistics
- Must have experience in Predictive Analytics
Non-Desired Skills:
- Experience in Descriptive Analytics – Don’t apply
- Experience in NLP Text Analysis, Image, Speech Analysis – Don’t apply
Aikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.
Get in touch If you are interested.
Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team.
Main Duties
● Quickly research the latest innovations in Machine Learning, especially with respect to
Natural Language Understanding & implement them if useful
● Train models to provide different insights, mainly from text but also other media such as Audio and Video
● Validate the models trained. Fine-tune & optimise as necessary
● Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers
● Build preprocessing pipelines for the models that are bieng served as a REST API
● Periodically, test & validate models in use. Update where necessary
Role & Relationships
We consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEO
Educational Qualifications
We don’t discriminate. As long as you have the required skill set & the right attitude
Experience
Upto two years of experience, preferably working on ML. Freshers are welcome too!
Skills
Good
● Strong understanding of Java / Python
● Clarity on concepts of Data Science
● A strong grounding in core Machine Learning
● Ability to wrangle & manipulate data into a processable form
● Knowledge of web technologies like Web server (Flask, Django etc), REST API's
Even better
● Experience with deep learning
● Experience with frameworks like Scikit-Learn, Tensorflow, Pytorch, Keras
Competencies
● Knowledge of NLP libraries such as NLTK, spacy, gensim.
● Knowledge of NLP models such as Wod2vec, Glove, ELMO, Fasttext
● An aptitude to solve problems & learn something new
● Highly self-motivated
● Analytical frame of mind
● Ability to work in fast-paced, dynamic environment
Location
Pune
Remuneration
Once we meet, we shall make an offer depending on how good a fit you are & the experience you already have
3+ years of experience in deployment, monitoring, tuning, and administration of high concurrency MySQL production databases.
- Solid understanding of writing optimized SQL queries on MySQL databases
- Understanding of AWS, VPC, networking, security groups, IAM, and roles.
- Expertise in scripting in Python or Shell/Powershell
- Must have experience in large scale data migrations
- Excellent communication skills.
- 5+ years of experience in a Data Engineer role
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases such as Cassandra.
- Experience with AWS cloud services: EC2, EMR, Athena
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
- Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.