Python
Machine Learning (ML)
Deep Learning
Data ScienceAbout FarMart At FarMart we are building the world’s first OS powering food value chains. By digitizing and incentivizing the rural agri-retailer, FarMart has created one-stop hubs for farmers to buy input and sell output in close proximity to their farms. This alternative, asset-light, food value chain eliminates the considerable transportation costs, spillages, and time effort for both the producer and the end-buyer. Are you passionate about the intersection of tech and food?
Role: Data Scientist II
Experience: 2-4 years
About You
Are you a beginner whose eyes light up when you see the progress bar of your model training or are you an experienced data professional whose heart sinks as the model loss starts to climb up? If that’s you, we like you already. Do you think about problem statements when you are on a cab ride or do you open up blog articles to entertain and enlighten you in boring meetings? If that’s you, we like you more now. All in all, you must have an insatiable hunger for knowledge and a team player attitude!
Key Responsibilities
- Understand and optimize the data infrastructure
- Develop visualization dashboards for the business and operations team - Setup and own data acquisition for several external sources
- Manage and clean the data for use by several systems
- Develop state-of-the-art Deep Learning/Classical models
- Deploy and Maintain production services
- Contribute to the community through open-source, blogs, etc.
What are we looking for
- Deep understanding of core concepts
- Broader knowledge of different types of problem statements and approaches
- Excellent hold on Python and the standard library
- Knowledge of industry-standard tools like scikit-learn, TensorFlow/PyTorch, etc.
- Experience with Computer Vision, Forecasting, and NLP will come in handy.
- A get shit done attitude
- A research mindset and a creative caliber to utilize previous work to your advantage.
Subodh Popalwar
Software Engineer, Memorres
About FarMart
Similar jobs
PythonTeam:- We are a team of 9 data scientists working on Video Analytics Projects, Data Analytics projects for internal AI requirements of Reliance Industries as well for the external business. At a time, we make progress on multiple projects(atleast 4) in Video Analytics or Data Analytics.
Data ScienceMachine Learning (ML)PythonData Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Machine Learning (ML)Data ScienceData Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Machine Learning (ML)Data ScienceRequirements
Experience
- 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
- Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
- Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
- Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
- Experience with GPU computing to do data and model training parallelism.
- Solid software engineering skills in developing systems for production.
- Strong expertise in Python.
- Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
- Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
- Having Geospatial / Remote sensing experience is a plus.
Data Science
R ProgrammingPythonengineering
2. Preferably should have done some project or internship related to the field
3. Knowledge of SQL is a plus
4. A deep desire to learn new things and be a part of a vibrant start-up.
5. You will have a lot of freehand and this comes with immense responsibility - so it
is expected that you will be willing to master new things that come along!
Job Description:
1. Design and build a pipeline to train models for NLP problems like Classification,
NER
2. Develop APIs that showcase our models' capabilities and enable third-party
integrations
3. Work across a microservices architecture that processes thousands of
documents per day.
Data ScienceMachine Learning (ML)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
Machine Learning (ML)Data Science1.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
Machine Learning (ML)Data ScienceR ProgrammingTHE IDEAL CANDIDATE WILL
- Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
- Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
- Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
- Work hands-on across various MLOps problems and provide thought leadership
- Grow and manage large teams with diverse skillsets
- Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists
ELIGIBILITY CRITERIA
- BE/BTech/MTech (Specialization/courses in ML/DS)
- At-least 7+ years of Consulting services delivery experience
- Very strong problem-solving skills & work ethics
- Possesses strong analytical/logical thinking, storyboarding and executive communication skills
- 5+ years of experience in Python/R, SQL
- 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
- Hands on work experience in DevOps
- Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
- Exposure on cloud technologies like Azure, AWS or GCP
- Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
- Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
- Experience with one or more Container-ecosystem (Docker, Kubernetes)
- Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
- Good understanding of OOP & Data Structures concepts
Nice to Have:
- Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
- Experience in Helm is a plus
- Strong understanding of data infrastructure, data warehouse, or data engineering
You can expect to –
- Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
- Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
- Work in a diverse environment that keeps evolving
- Hone your entrepreneurial skills as you contribute to growth of the organization
Data ScienceMachine Learning (ML)PythonDeep Learning- 3+ years of experience in Machine Learning
- Bachelors/Masters in Computer Engineering/Science.
- Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts.
- 10 and 12th acedemics 70 % & above.
Skills :
- Strong Python/ programming skills
- Good conceptual understanding of Machine Learning/Deep Learning/Natural Language Processing
- Strong verbal and written communication skills.
- Should be able to manage team, meet project deadlines and interface with clients.
- Should be able to work across different domains and quickly ramp up the business processes & flows & translate business problems into the data solutions
Machine Learning (ML)PythonDeep LearningJob Description:
Roles & Responsibilities:
· You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production.
· You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients.
· You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs.
Desired Skill Set:
· Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries.
· Hands-on skills and industry experience in one or more of the following areas is necessary:
1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs)
2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods)
3) Natural Language Processing
4) Graph Databases (Neo4j, Apache Giraph)
5) Azure Bot Service
6) Azure ML Studio / Azure Cognitive Services
7) Log Analytics with NLP/ML/DL
· Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus.
· Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer.
· Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.
Follow CutshortSubodh Popalwar
Software Engineer, Memorres