TensorFlow Jobs in Pune

Explore top TensorFlow Job opportunities in Pune from Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.
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DP
Posted by Kanchan Gangotri
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Pune, Ahmedabad
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3 - 8 yrs
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₹15L - ₹40L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+3 more
Machine Learning Engineer

Location: Ahmedabad / Pune
Team: Technology

Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and Internet of Things.

PRIMARY RESPONSIBILITIES:

● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics / modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework / pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adopting them for our
purposes.
● Feature engineering to add new features that improve model
performance.

KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.

EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.
Read more
DP
Posted by Kanchan Gangotri
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Pune, Ahmedabad
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2 - 8 yrs
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₹10L - ₹30L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+4 more
Machine Learning Engineer

Location: Ahmedabad / Pune
Team: Technology

Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and the Internet of Things.

PRIMARY RESPONSIBILITIES:

● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics/modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adapting them for our
purposes.
● Feature engineering to add new features that improve model
performance.

KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.

EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.
Read more
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Remote, Noida, Gurugram, Pune
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5 - 9 yrs
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₹5L - ₹15L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+6 more
We are hiring for the Machine Learning Lead in our Data Science Team.

  • Role: Machine Learning Lead
  • Experience: 5+ Years
  • Employee strength: 80+
  • Remuneration: Most competitive in the market


Programming Language:

• Advance knowledge of Python.

• Object Oriented Programming skills.

 

Conceptual:

• Mathematical understanding of machine learning and deep learning algorithms.

• Thorough grasp on statistical terminologies.

 

Applied:

• Libraries: Tensorflow, Keras, Pytorch, Statsmodels, Scikit-learn, SciPy, Numpy, Pandas, Matplotlib, Seaborn, Plotly

• Algorithms: Ensemble Algorithms, Artificial Neural Networks and Deep Learning, Clustering Algorithms, Decision Tree Algorithms, Dimensionality Reduction Algorithms, etc.

• MySQL, MongoDB, ElasticSearch or other NoSQL database implementations.

If interested kindly share your cv at tanya @tigihr. com

Read more
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Pune
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0 - 1 yrs
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₹5L - ₹6L / yr
C++
ROS
PyTorch
TensorFlow
Python
+1 more
Robotics Design Engineer -1 (Autonomy)

About Peppermint:
Peppermint is an award-winning company based out of Pune, India supported by Qualcomm and
IIT Bombay. With robots deployed across South Asia and the Middle East, Peppermint is scaling up its Engineering and Operations across the board.

Job Description:
As a Robotics Autonomy Engineer, you will be responsible for the development of the navigation system of the robot, which includes path tracking, obstacle avoidance, etc.You will be expected to research the latest developments in the area of motion planning and path tracking control. The software will be developed in a variety of programming languages which will be used on Peppermint robots across the world in factories, warehouses, and commercial real estate.

An ideal candidate should have:
• Excellent C++ programming and software design skills to support
high-performance perception. Experience with Python is a plus.
• Background in motion planning, behaviour planning, and/or controls.
• Hands-on experience with ROS navigation stack and/or navigation2.
• Hands-on experience with OMPL or similar frameworks.
• Hands-on experience with real robots and perception sensors such as time-of-flight cameras, 2D/3D LIDAR, and stereo cameras.
• Passion for developing software for world-class robots.
Good to have in a candidate:
• Experience with Pytorch, TensorFlow, and CUDA
• Experience with Rust for software development
• Proven track record of publishing in high-impact conferences (ICRA, IROS, RSS, CVPR,
NIPS, ICML, SIGGRAPH, ECCV, etc.) on navigation.


What to Expect:
• We are a process and out-of-the-box thinking led team, with domain experts working together to build world class robots.
• Engineering team is based at base location and involves cross team collaboration, hands on learning, and self-development through the role.
• As part of a fast-growing product startup, you'll spend considerable amounts of time on the floor, in planning and also devising short and long-term plans especially in robotic software for the product portfolio
• Absolute alignment with Peppermint work ethos, code-of-conduct, and culture. Our culture stands for authentic stance, loud-and-clear communication, no hesitation, and emphasis to “ask” anything!
We care deeply for every team member’s career journey and the culture which propels itforwards. We do expect you to appreciate the underlying purpose at Peppermint and get going!
• Working on a world-class product. Be ready for this, it is very fulfilling and demanding!

Job Type : Full-time

Education : Bachelor’s/Master’s Engineering degree in Electronics/Mechanical / Chemical/Computer Science

Experience : Freshers/Post graduates, Passion in learning Robotics.
Work remotely : No
Read more
DP
Posted by Vaishali M
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anywhere, Pune, Hyderabad, Bengaluru (Bangalore)
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8 - 15 yrs
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₹15L - ₹35L / yr
Java
NodeJS (Node.js)
AngularJS (1.x)
Python
MongoDB
+8 more

Software Architect

Symbl is hiring a Software Architect who is passionate about leading cross-functional R&D teams. This role will serve as the Architect across the global organization driving product architecture, reducing information silos across the org to improve decision making, and coordinating with other engineering teams to ensure seamless integration with other Symbl services.

*Symbl is seeking for a leader with a demonstrated track record of leading cross-functional dev team, you are fit for the role if *

  • You have a track record of designing and building large-scale, cloud-based, highly available software platforms.
  • You have 8+ years of experience in software development with 2+ years in an architect role.
  • You have experience working on customer-facing machine learning implementations (predictions, recommendations, anomaly detection)
  • You are an API first developer who understands the power of platforms.
  • You are passionate about enabling other developers through your leadership and driving teams to efficient decisions.
  • You have the ability to balance long-term objectives with urgent short-term needs
  • You can successfully lead teams through very challenging engineering problems.
  • You are domain Expertise in one or more of: Data pipelines and workflow, telephony systems, real time audio and video streaming machine learning.
  • You have bachelor's degree in a computer science-related field is a minimum requirement
  • You’ll bring your deep experience with distributed systems and platform engineering principles to the table.
  • You are passionate about operational excellence and know-how to build software that delivers it.
  • You are able to think at scale, define, and meet stringent availability and performance SLAs while ensuring quality and resiliency challenges across our diverse product and tech stacks are addressed with NodeJs as mandatory, Java, Python, Javascript, ReactJS with intersection with ML platform + open source DBs.
  • You understand end-user use cases and are driven to design optimal software that meets business needs.

Your day would look like:

  • Work with your team providing engineering leadership and ensuring your resources are solving the most critical engineering problems while ensuring your products are scalable, performant, and highly available.
  • Focused on delivering the highest quality of services, and you support your team as they push production code that impacts hundreds of Symbl customers.
  • Spent time with engineering managers and developers to create and deliver critical new products and/or features that empower them to introduce change with quality and speed.
  • Made sure to connect with your team, both local and remote, to ensure they are delivering on engineering and operational excellence.
  •  

*Job Location : Anywhere  –  Currently WFH due to COVID

Compensation, Perks, and Differentiators:

  • Healthcare
  • Unlimited PTO
  • Paid sick days
  • Paid holidays
  • Flexi working
  • Continuing education
  • Equity and performance-based pay options
  • Rewards & Recognition
  • As our company evolves, so do our benefits. We’re actively innovating how we support our employees.
Read more
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Pune
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1 - 5 yrs
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₹3L - ₹15L / yr
Machine Learning (ML)
Artificial Intelligence (AI)
Python
Data Structures
Algorithms
+17 more
 
SD (ML and AI) job description:

Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )
Extensive data modeling and data architecture skills
Programming experience in Python, R
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or another distributed computing systems
Experience working in an Agile environment
Advanced math skills (Linear algebra
Discrete math
Differential equations (ODEs and numerical)
Theory of statistics 1
Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)
Abstract algebra
Number theory
Real analysis
Complex analysis
Intermediate analysis (point set topology)) ( important )
Strong written and verbal communications
Hands on experience on NLP and NLG
Experience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
 
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DP
Posted by Mishita Juneja
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Pune
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8 - 10 yrs
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₹24L - ₹28L / yr
Data Science
Deep Learning
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Python
+7 more

Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • 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
Read more
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Pune, Bengaluru (Bangalore)
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5 - 8 yrs
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₹15L - ₹22L / yr
Data Science
Artificial Intelligence (AI)
Deep Learning
Machine Learning (ML)
Hadoop
+6 more

Senior Data Scientist - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • 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 Senior 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. 5+ 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
Read more
DP
Posted by Mishita Juneja
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Pune, Bengaluru (Bangalore)
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3 - 5 yrs
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₹10L - ₹15L / yr
Data Science
R Programming
Python
Deep Learning
Hadoop
+7 more

Data Scientist - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • 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 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. 3+ 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
Read more
DP
Posted by Mishita Juneja
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Pune
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10 - 14 yrs
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₹30L - ₹35L / yr
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Machine Learning (ML)
Deep Learning
Research and development
+10 more

Director - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • 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 ?

  1. To devise strategy through the delivery of sustainable intelligent solutions, strategic customer engagements, and research and development
  2. To enable and lead our data and analytics team and develop machine learning and AI paths across strategic programs, solution implementation, and customer relationships
  3. To manage existing customers and realize new opportunities and capabilities of growth
  4. To collaborate with different stakeholders for delivering automated, high availability and secure solutions
  5. To develop talent and skills to create a high performance team that delivers superior products
  6. To communicate effectively across the organization to ensure that the team is completely aligned to business objectives
  7. To build strong interpersonal relationships with peers and other key stakeholders that will contribute to your team's success

Your bucket of Undertakings :

  1. Develop an AI roadmap aligned to client needs and vision
  2. Develop a Go-To-Market strategy of AI solutions for customers
  3. Build a diverse cross-functional team to identify and prioritize key areas of the business across AI, NLP and other cognitive solutions that will drive significant business benefit
  4. Lead AI R&D initiatives to include prototypes and minimum viable products
  5. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  6. Build reusable and scalable solutions for use across the customer base
  7. Create AI white papers and enable strategic partnerships with industry leaders
  8. Align, mentor, and manage, team(s) around strategic initiatives
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems)
  11. Lead AI tech challenges and proposals with team members
  12. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  13. Identify new business opportunities and prioritize pursuits for AI 

Education & Experience : 

  1. Advanced or basic degree (PhD with few years experience, or MS / BS (with many years experience)) 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. 10+ 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. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  7. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team
Read more

contract intelligence platform

Agency job
via wrackle by Naveen Taalanki
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Pune
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12 - 20 yrs
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₹50L - ₹100L / yr
Data Science
Natural Language Processing (NLP)
Machine Learning (ML)
Algorithms
Python
+5 more
Responsibilities
  • Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
  • Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
  • Own the end-end process, from recognizing the problem to implementing the solution.
  • Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
  • Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

Skills and Qualification
  • 12 to 15 yrs of experience.
  • An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
  • Experience with text mining, parsing, and classification using state-of-the-art techniques.
  • Experience with information retrieval, Natural Language Processing, Natural Language
  • Understanding and Neural Language Modeling.
  • Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
  • Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
  • Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
  • Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
Read more

Hiring for an MNC company

Agency job
via Response Informatics by Swagatika Sahoo
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Hyderabad, Bengaluru (Bangalore), Chennai, Pune
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5 - 7 yrs
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₹5L - ₹25L / yr
Natural Language Processing (NLP)
Machine Learning (ML)
Computer Vision
Deep Learning
Google Cloud Platform (GCP)
+2 more

Job roles and responsibilities:

  • Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models
  • Experience writing software in one or more languages such as Python, Scala, R, or similar with strong competencies in data structures, algorithms, and software design
  • Experience working with recommendation engines, data pipelines, or distributed machine learning
  • Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano)
  • Knowledge of data analytics concepts, including bigdata, data warehouse technical architectures, ETL and reporting/analytic tools and environments
  • Participate in cutting edge research in artificial intelligence and machine learning applications
  • Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real world engineering problems
  • Working knowledge on different Algorithms and Machine Learning techniques like, Linear & Logistic Regression analysis, Segmentation, Decisions trees, Cluster analysis and factor analysis, Time Series Analysis, K-Nearest Neighbour, K-Means algorithm, Random Forests Algorithm, NLP (Natural language processing), Sentimental analysis, various Artificial Neural Networks, Convolution Neural Nets (CNN), Bidirectional Recurrent Neural Networks (BRNN)
  • Demonstrated excellent communication, presentation, and problem-solving skills

Technical Skills Required:

  • GCP Native AI/ML services like Vision, NLP, Document AI, Dialogflow, CCAI, BQ etc.,
  • Proficiency with a deep learning framework such as TensorFlow or Keras, etc.,
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas, jupyter notebook
  • Expertise in visualizing and manipulating big datasets
  • Ability to select hardware to run an ML model with the required latency
  • Good to have MLOps and Kubeflow knowledge
  • GCP ML Engineer Certification
Read more

at IDfy

DP
Posted by Rati from
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Mumbai, Pune
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1 - 3 yrs
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₹6L - ₹14L / yr
Machine Learning (ML)
Python
TensorFlow
PyTorch
Scikit-Learn
+1 more
About the team
● The machine learning team is a self-contained team of 9 people responsible for building models and services that support key workflows for IDfy.
● Our models are gating criteria for these workflows and as such are expected to perform accurately and quickly. We use a mix of conventional and hand-crafted deep learning models.
● The team comes from diverse backgrounds and experiences. We have ex-bankers, startup founders, IIT-ians, and more.
● We work directly with business and product teams to craft solutions for our customers. We know that we are, and function as a platform and not a services company.

● Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.
● Work on performance tuning of models
● From time to time work on support and debugging of these production systems
● Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.
● Building workflows for training and production systems
● Contribute to documentation

About you

● You are an early-career machine learning engineer (or data scientist). Our ideal candidate is
someone with 1-3 years of experience in data science.

Must Haves

● You have a good understanding of Python and Scikit-learn, Tensorflow, or Pytorch. Our systems are built with these tools/language and we expect a strong base in these.
● You are proficient at exploratory analysis and know which model to use in most scenarios
● You should have worked on framing and solving problems with the application of machine learning or deep learning models.
● You have some experience in building and delivering complete or part AI solutions
● You appreciate that the role of the Machine Learning engineer is not only modeling, but also building product solutions and you strive towards this.
● Enthusiasm and drive to learn and assimilate the state of art research. A lot of what we are building will require innovative approaches using newly researched models and applications.

Good to Have

● Knowledge of and experience in computer vision. While a large part of our work revolves around computer
vision, we believe this is something you can learn on the job.
● We build our own services, hence we would want you to have some knowledge of writing APIs.
● Our stack also includes languages like Ruby, Go, and Elixir. We would love it if you know any of these or take an interest in functional programming.
● Knowledge of and experience in ML Ops and tooling would be a welcome addition. We use Docker and Kubernetes for deploying our services.
Read more
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Pune, Ahmedabad, Bengaluru (Bangalore)
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3 - 7 yrs
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₹0L - ₹7L / yr
Python
Odoo (OpenERP)
TensorFlow
Machine Learning (ML)
Data Science

Responsibilities:

  • Writing reusable, testable, and efficient code
  • Design and implementation of low-latency, high-availability, and performant applications
  • Integration of user-facing elements developed by front-end developers with server side logic
  • Implementation of security and data protection
  • Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
  • Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)
  • Familiarity with some ORM (Object Relational Mapper) libraries
  • Able to integrate multiple data sources and databases into one system
  • Understanding of the threading limitations of Python, and multi-process architecture
  • Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)
  • Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
  • Understanding of accessibility and security compliance (depending on the specific project)
  • Knowledge of user authentication and authorization between multiple systems, servers, and environments
  • Understanding of fundamental design principles behind a scalable application
  • Familiarity with event-driven programming in Python
  • Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
  • Able to create database schemas that represent and support business processes
  • Strong unit test and debugging skills
  • Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.
Read more
DP
Posted by Yash G
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Pune
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5 - 8 yrs
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₹8L - ₹16L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Python
R Programming
+3 more
• Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them. • Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
Read more
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Pune
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2 - 10 yrs
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₹15L - ₹60L / yr
Natural Language Processing (NLP)
TensorFlow
Deep Learning
Artificial Neural Network (ANN)
Artificial Intelligence (AI)
+1 more
You are responsible for: * Developing algorithms to challenge the state-of-the-art in deep learning for NLP * Generating and implement new ideas for applied AI in travel * Creating AI solutions for automated dialogue (chat bots); natural texting for booking flights, hotels etc. * Build highly performant, real time, end to end, responsive request/recommendation engines powered by natural language processing and other machine learning techniques * Build and evolve/train NLP platform from natural language text data being gathered from users on daily basis * Code using primarily Python, No-SQL, and Google Cloud (AppEngine) stack. Speed, Speed, Speed - must be a performance freak! Requirements * B.E. from IIT or NIT or Tier-1 Institutes ONLY or MS from reputed institutions or Ph.D. in Computer Science, Natural Language Processing, Computational Linguistics or closely related field * 2+ years of Natural Language Processing experience * Ability to productize research efforts into end to end running application. * Ability to work with other platform engineers; learn, build, deploy, run, debug code. * Expertise in Applied Machine Learning, Neural Networks & Deep Learning for NLP tasks * Software programming in Java or Python and knowledge of SQL and NoSQL databases * Strong understanding of other AI tools and applications like TensorFlow, Spacy, Google Cloud ML is a BIG plus. * Fundamentally very strong in software engineering principles * Track record of scientific publications and presentation at scientific conferences is a PLUS You can look forward to a lot of impacts and a lot of freedom. With that comes the responsibility to ship quality code, so we’re looking for people that take quality as a point of pride. You will be a key member of the Platform & AI research staff working on our innovative conversational commerce product. The ultimate goal of our AI team is to build a powerful and scalable AI platform that learns from users and in-house experts on a daily basis, knows more than what it’s taught and keeps learning and getting better every day.
Read more
DP
Posted by Sunil Chandurkar
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Pune
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2 - 7 yrs
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₹8L - ₹40L / yr
Python
TensorFlow
Natural Language Processing (NLP)
Natural Language Toolkit (NLTK)
We are at Mezi building an AI-enabled chat-bot to bring online travel booking experience better. We are acquired by American Express in the month of January. As we are changing many major changes in our platform to scale and match Amex user's volume (in millions), our platform is going through some bigger changes. We are looking for IITian or NITian or exceptionally talented engineers with great experience of building high volume platform preferably in Python. Someone, who understand what is performance, what is scale and what is "platform"? You must have an end to end product development experience preferably in startup(s) OR at least product development companies. If you are working in services industry or banking or insurance domain, they Mezi may not be the right place for seeking any opportunity. You should have minimum 2years of experience or maximum 7 years. Compensation is not an issue with us for the right talent. You should be a coder and willing to code every day. You should be a great problem solver with a keen interest in writing optimistic algorithms. Please send your resume to [email protected] in case you are interested. Job location is Pune and ZERO travel to abroad, although our headquarter is in Sunnyvale, California. Thanks
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