13+ Deep Learning Jobs in Pune | Deep Learning Job openings in Pune
Apply to 13+ Deep Learning Jobs in Pune on CutShort.io. Explore the latest Deep Learning Job opportunities across top companies like Google, Amazon & Adobe.
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.
Job Summary
We are seeking an experienced and highly skilled Senior Data Scientist to join our dynamic team. As a Senior Data Scientist at TechVerito, you will play a key role in driving our data science initiatives and leveraging advanced analytics techniques to solve complex business problems. You will collaborate closely with cross-functional teams to develop and deploy machine learning models, natural language processing (NLP) algorithms, and deep learning solutions across text, audio, and video domains.
Job Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 4+ years of hands-on experience in data science, machine learning, and artificial intelligence.
- Proficiency in programming languages such as Python, R, or Java.
- Strong understanding of machine learning algorithms, techniques, and methodologies.
- Experience with NLP libraries and frameworks such as NLTK, spaCy, or TensorFlow.
- Demonstrated expertise in deep learning techniques and frameworks such as TensorFlow, PyTorch, or Keras.
- Experience working with text, audio, and video data in machine learning applications.
- Solid understanding of data visualization techniques and tools.
- Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
- Hands-on experience in analysis, design, coding, and implementation of complex, custom-built applications.
- Strong communication and client-facing skills with the ability to work in a consulting environment are essential.
Job Responsibilities
- Lead the design, development, and implementation of machine learning models and algorithms to extract insights from large datasets.
- Apply advanced statistical and mathematical techniques to analyze data and solve complex business problems.
- Develop and deploy NLP algorithms to analyze and interpret unstructured text data.
- Utilize deep learning techniques to analyze audio and video data and extract meaningful insights.
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science solutions.
- Stay abreast of the latest developments in machine learning, NLP, deep learning, and AI technologies.
- Mentor junior team members and provide guidance on best practices in data science and analytics.
Perks
- Work-Life Balance
- Skill Development
- Object Bootcamp
- Sabbatical Leave
- Parental Leaves
- Office Perks (Free Meal, Snacks)
- Challenging work
Culture
- Open Culture
- Flat Hierarchy
- 360-degree feedback
- Lot of Freedom
- Nobody reports to no one
- Mentorship Program
- People Supportive
- Competitive & Friendly Environment
Job Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Location: Pune
Experience: 3+ Years
Experience applying statistical methods (distribution analysis, classification, clustering, etc.).
The individual requires excellent analytical skills required to mine data, develop algorithms and then analyze results to determine decisions or actions
At least good experience in using data science with a focus on deep neural nets, statistics, empirical data analysis, machine learning and Natural Language Processing
Solid knowledge of various statistical techniques and experience using machine learning algorithms
Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
Excellent relationship management skills with senior stakeholders is paramount
Experience in practical data processing, data mining, text mining and information retrieval tasks
● Frame ML / AI use cases that can improve the company’s product
● Implement and develop ML / AI / Data driven rule based algorithms as software items
● For example, building a chatbot that replies an answer from relevant FAQ, and
reinforcing the system with a feedback loop so that the bot improves
Must have skills:
● Data extraction and ETL
● Python (numpy, pandas, comfortable with OOP)
● Django
● Knowledge of basic Machine Learning / Deep Learning / AI algorithms and ability to
implement them
● Good understanding of SDLC
● Deployed ML / AI model in a mobile / web product
● Soft skills : Strong communication skills & Critical thinking ability
Good to have:
● Full stack development experience
Required Qualification:
B.Tech. / B.E. degree in Computer Science or equivalent software engineering
An experienced and hands-on Technical Architect to lead our Video analytics & Surveillance product
• An ideal candidate would have worked in large scale video platforms (Youtube, Netflix, Hotstar, etc) or Surveillance softwares
• As a Technical Architect, you are hands-on and also a top contributor to the product development
• Leading teams under time-sensitive projects
Skills Required:
• Expert level Python programming language skills is a MUST
• Hands-on experience with Deep Learning & Machine learning projects is a MUST
• Has to experience in design and development of products
• Review code & mentor team in improving the quality and efficiency of the delivery
• Ability to troubleshoot and address complex technical problems.
• Has to be a quick learner & ability to adapt to increasing customer demands
• Hands-on experience in design and deploying large scale docker and Kubernetes
• Can lead a technically strong team in sharpening the product further
• Strong design capability with microservices-based architecture and its pitfalls
• Should have worked in large scale data processing systems
• Good understanding of DevOps processes
• Familiar with Identity management, Authorization & Authentication frameworks
• Possesses very strong Software Design, enterprise networking systems, advanced problem-solving skills
• Experience writing technical architecture documents
Responsibilities for Data Scientist/ NLP Engineer
Work with customers to identify opportunities for leveraging their data to drive business
solutions.
• Develop custom data models and algorithms to apply to data sets.
• Basic data cleaning and annotation for any incoming raw data.
• Use predictive modeling to increase and optimize customer experiences, revenue
generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Deployment of ML model in production.
Qualifications for Junior Data Scientist/ NLP Engineer
• BS, MS in Computer Science, Engineering, or related discipline.
• 3+ Years of experience in Data Science/Machine Learning.
• Experience with programming language Python.
• Familiar with at least one database query language, such as SQL
• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,
Search Indexing & Fuzzy Matching.
• Excellent written and verbal communication skills for coordinating acrossteams.
• Willing to learn and master new technologies and techniques.
• Knowledge and experience in statistical and data mining techniques:
GLM/Regression, Random Forest, Boosting, Trees, text mining, NLP, etc.
• Experience with chatbots would be bonus but not required
- 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
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
Job 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.