50+ Natural Language Processing (NLP) Jobs in India

About Springworks

At Springworks, we're on a mission to revolutionize the world of People Operations. With our innovative tools and products, we've already empowered over 500,000+ employees across 15,000+ organizations and 60+ countries in just a few short years.

But what sets us apart? Let us introduce you to our exciting product stack:

• SpringVerify: Our B2B background verification platform
• EngageWith: Spark vibrant cultures! Our recognition platform adds magic to work.
• Trivia: Fun remote team-building! Real-time games for strong bonds.
• SpringRole: Future-proof profiles! Blockchain-backed skill showcase.
• Albus: AI-powered workplace search and knowledge bot for companies

Join us at Springworks and be part of the remote work revolution. Get ready to work, play, and thrive in an environment that's anything but ordinary!

Role Overview

This role is for our Albus team. As a SDE 2 at Springworks, you will be responsible for designing, developing, and maintaining robust, scalable, and efficient web applications. You will work closely with cross-functional teams, turning innovative ideas into tangible, user-friendly products. The ideal candidate has a strong foundation in both front-end and back-end technologies, with a focus on Python, Node.js and ReactJS. Experience in Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) will be a significant advantage.

Responsibilities:

• Collaborate with product management and design teams to understand user requirements and translate them into technical specifications.
• Develop and maintain server-side logic using Node.js and Python.
• Design and implement user interfaces using React.js with focus on user experience.
• Build reusable and efficient code for future use.
• Implement security and data protection measures.
• Collaborate with other team members and stakeholders to ensure seamless integration of front-end and back-end components.
• Troubleshoot and debug complex issues, identifying root causes and implementing effective solutions.
• Stay up-to-date with the latest industry trends, technologies, and best practices to drive innovation within the team.
• Participate in architectural discussions and contribute to technical decision-making processes.
• 
  

Goals (not limited to):

1 month into the job:

• Become familiar with the company's products, codebase, development tools, and coding standards. Aim to understand the existing architecture and code structure.
• Ensure that your development environment is fully set up and configured, and you are comfortable with the team's workflow and tools.
• Start contributing to the development process by taking on smaller tasks or bug fixes. Ensure that your code is well-documented and follows the team's coding conventions.
• Begin collaborating effectively with team members, attending daily stand-up meetings, and actively participating in discussions and code reviews.
• Understand the company's culture, values, and long-term vision to align your work with the company's goals.

3 months into the job:

• Be able to independently design, develop, and deliver small to medium-sized features or improvements to the product.
• Demonstrate consistent improvement in writing clean, efficient, and maintainable code. Receive positive feedback on code reviews.
• Continue to actively participate in team meetings, offer suggestions for process improvements, and collaborate effectively with colleagues.
• Start assisting junior team members or interns by sharing knowledge and providing mentorship.
• Seek feedback from colleagues and managers to identify areas for improvement and implement necessary changes.

6 months into the job:

• Take ownership of significant features or projects, from conception to deployment, demonstrating leadership in technical decision-making.
• Identify areas of the codebase that can benefit from refactoring or performance optimizations and work on these improvements.
• Propose and implement process improvements that enhance the team's efficiency and productivity.
• Continue to expand your technical skill set, potentially by exploring new technologies or frameworks that align with the company's needs.
• Strengthen your collaboration with other departments, such as product management or design, to ensure alignment between development and business objectives.

Requirements

• Minimum 4 years of experience working with Python along with machine learning frameworks and NLP technologies.
• Strong understanding of micro-services, messaging systems like SQS.
• Experience in designing and maintaining nosql databases (MongoDB)
• Familiarity with RESTful API design and implementation.
• Knowledge of version control systems (e.g., Git).
• Ability to work collaboratively in a team environment.
• Excellent problem-solving and communication skills, and a passion for learning. Essentially having a builder mindset is a plus.
• Proven ability to work on multiple projects simultaneously.
• 
  

Nice to Have:

• Experience with containerization (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of agile development methodologies.
• Contributions to open-source projects or a strong GitHub profile.
• Previous experience of working in a startup or fast paced environment.
• Strong understanding of front-end technologies such as HTML, CSS, and JavaScript.

About Company / Benefits

• Work from anywhere effortlessly with our remote setup perk: Rs. 50,000 for furniture and headphones, plus an annual addition of Rs. 5,000.
• We care about your well-being! Our health scheme covers not only your physical health but also your mental and social well-being. We've got you covered from head to toe!
• Say hello to endless possibilities with our learning and growth opportunities. We're here to fuel your curiosity and help you reach new heights.
• Take a breather and enjoy 30 annual paid leave days. It's time to relax, recharge, and make the most of your time off.
• Let's celebrate! We love company outings and celebrations that bring the team together for unforgettable moments and good vibes.
• We'll reimburse your workation trips, turning your travel dreams into reality.
• We've got your lifestyle covered. Treat yourself with our lifestyle allowance, which can be used for food, OTT, health/fitness, and more. Plus, we'll reimburse your internet expenses so you can stay connected wherever you go!
• 
  

Join our remote team and experience the freedom and flexibility of asynchronous communication. Apply now!

Know more about Springworks:

• Life at Springworks: https://www.springworks.in/blog/category/life-at-springworks/ 
• Glassdoor Reviews: https://www.glassdoor.co.in/Overview/Working-at-Springworks-EI_IE1013270.11,22.htm
• More about Asynchronous Communication: https://www.springworks.in/blog/asynchronous-communication-remote-work/

About TensorIoT

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Minimum Requirements: 

• Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
• Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
• Hands-on experience in MLOps (model deployment, maintenance)
• Hands-on experience with Docker.
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning  
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients.

Preferred Qualifications: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Some experience in creating cloud-native technologies, and microservices design. 
• Published scientific papers in the relevant domain of work. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

About HighLevel 

HighLevel is an all-in-one, white-label marketing platform for agencies & consultants. Our goal as a business is to create a sustainable, powerful, “all things marketing” operating system that creates limitless opportunities for our customers. With over 20,000 customers, we need people like YOU to help us grow and scale even further in the coming years. We currently have 600+ employees worldwide, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and, above all, encourage a healthy work-life balance for our employees wherever they call home.

Our Website - https://www.gohighlevel.com/ 

YouTube Channel- https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g

Role & Responsibilities 

Looking for a senior AI engineer for the platform team. The ideal candidate will be responsible to derive key insights from huge sets of data, build models around those, and take them to production.

• Implementation - 
• Analyze data to gain new insights, develop custom data models and algorithms to apply to distributed data sets at scale
• Build continuous integration, test-driven development, and production deployment frameworks
• Architecture - Design the architecture with the Data and DevOps engineers
• Ownership - Take ownership of the accuracy of the models and coordinate with the stakeholders to keep moving forward
• Releases - Take ownership of the releases and pre-plan according to the needs
• Quality - Maintain high standards of code quality through regular design and code reviews.

Qualifications

• Extensive hands-on experience in Python/R is a must.
• Proficiency in ML/DL frameworks and tools (e. g. Pandas, Numpy, Scikit-learn, Pytorch, Lightning, Huggingface)
• Strong command in low-level operations involved in building architectures for Ensemble Models, NLP, CV (eg. XGB, Transformers, CNNs, Diffusion Models)
• Experience with end-to-end system design; data analysis, distributed training, model optimisation, evaluation systems, for large-scale training & prediction.
• Experience working with huge datasets (ideally in TeraBytes) would be a plus.
• Experience with frameworks like Apache Spark (using MLlib or PySpark), Dask etc.
• Practical experience in API development (e. g., Flask, FastAPI).
• Experience with MLOps principles (scalable development & deployment of complex data science workflows) and associated tools, e. g. MLflow, Kubeflow, ONNX
• Bachelor's degree or equivalent experience in Engineering or a related field of study
• 3+ years of AI engineering experience
• Strong people, communication, and problem-solving skills

What to Expect when you Apply 

• Exploratory Call 
• Technical Round I/II
• Assignment 
• Cultural Fitment Round 

Perks and Benefits

• Impact - Work with scale, our infrastructure handles around 5 Billion+ API hits, 2 Billion+ message events, and more than 40 TeraBytes of data
• Compensation - Best in Industry
• Learning - Work with a team of A-players distributed across 15 countries who move fast (we have built one of the widest products on the market in under 3 years)
• Generous Device Policy - You get a Macbook Pro
• Unlimited Leave Policy
• 1 team offsite every year
• Remote first culture

EEO Statement: At HighLevel, we value diversity. In fact, we understand it makes our organization stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with dis abilities to perform the essential functions.

Job Description

Responsibilities:

- Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.

- Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.

- Design and develop machine learning models, algorithms, and data pipelines.

- Collect, preprocess, and clean large datasets to ensure data quality and reliability.

- Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.

- Implement and deploy AI/ML models into production environments.

- Monitor model performance and propose enhancements or updates as needed.

- Collaborate with software engineers to integrate AI/ML capabilities into existing software systems.

- Perform data analysis and visualization to derive actionable insights.

- Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.

Strong experience in Apache pyspark is must

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Proven experience of 3-5 years as an AI/ML Engineer or a similar role.

- Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.

- Proficiency in programming languages such as Python, Java, or C++.

- Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.

- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and their AI/ML services.

- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

- Experience in deploying and scaling machine learning models in production environments.

- Strong problem-solving skills and ability to work on multiple projects simultaneously.

- Excellent communication and teamwork skills.

Preferred Skills:

- Experience with natural language processing (NLP) techniques and tools.

- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.

- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.

- Understanding of DevOps practices for AI/ML model deployment

-Apache ,Pyspark

Data Scientist – Delivery & New Frontiers Manager 

Job Description:   

We are seeking highly skilled and motivated data scientist to join our Data Science team. The successful candidate will play a pivotal role in our data-driven initiatives and be responsible for designing, developing, and deploying data science solutions that drives business values for stakeholders. This role involves mapping business problems to a formal data science solution, working with wide range of structured and unstructured data, architecture design, creating sophisticated models, setting up operations for the data science product with the support from MLOps team and facilitating business workshops. In a nutshell, this person will represent data science and provide expertise in the full project cycle. Expectation of the successful candidate will be above that of a typical data scientist. Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. 

Responsibilities: 

• Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand business needs and identify data science opportunities. 
• Map complex business problems to data science problem, design data science solution using GCP/Azure Databricks platform. 
• Collect, clean, and preprocess large datasets from various internal and external sources.  
• Streamlining data science process working with Data Engineering, and Technology teams. 
• Managing multiple analytics projects within a Function to deliver end-to-end data science solutions, creation of insights and identify patterns.  
• Develop and maintain data pipelines and infrastructure to support the data science projects 
• Communicate findings and recommendations to stakeholders through data visualizations and presentations. 
• Stay up to date with the latest data science trends and technologies, specifically for GCP companies 

Education / Certifications:  

Bachelor’s or Master’s in Computer Science, Engineering, Computational Statistics, Mathematics. 

Job specific requirements:  

• Brings 5+ years of deep data science experience 

∙       Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon 

• Experience with programming languages such as Python, R, Spark 
• Experience with data visualization tools such as Tableau, Power BI, and D3.js 
• Strong understanding of data structures, algorithms, and software design principles 
• Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage 
• Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub. 
• Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs. 
• Strong analytical and problem-solving skills 
• Excellent verbal and written communication skills 
• Working knowledge with application architecture, data security and compliance team. 

Responsibilities

• Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development, and delivery of tested code and machine learning models into production environments
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data-driven solutions

Eligibility

• Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
• Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
• In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
• Expertise in writing scalable APIs for machine learning models
• Experience with maintaining code logs, task schedulers, and security
• Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
• Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

• 6+ years of data science experience.

• Demonstrated experience in leading programs.

• Prior experience in customer data platforms/finance domain is a plus.

• Demonstrated ability in developing and deploying data-driven products.

• Experience of working with large datasets and developing scalable algorithms.

• Hands-on experience of working with tech, product, and operation teams.

Technical Skills:

• Deep understanding and hands-on experience of Machine learning and Deep

learning algorithms. Good understanding of NLP and LLM concepts and fair

experience in developing NLU and NLG solutions.

• Experience with Keras/TensorFlow/PyTorch deep learning frameworks.

• Proficient in scripting languages (Python/Shell), SQL.

• Good knowledge of Statistics.

• Experience with big data, cloud, and MLOps.

Soft Skills:

• Strong analytical and problem-solving skills.

• Excellent presentation and communication skills.

• Ability to work independently and deal with ambiguity.

Continuous Learning:

• Stay up to date with emerging technologies.

Qualification.

A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.

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

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

·       Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

Role: Data Scientist

Industry Type: Banking

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

Position: Manager/Head- Data Scientist/Machine Learning Engineer

• Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
• AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
• Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
• Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
• Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.

Qualifications and Experience:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
• 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
• Proven track record of successful implementation of AI/ML models with tangible business impact.
• Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with image data, including feature extraction, object detection, and classification.
• Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.

About UpSolve

Work on cutting-edge tech stack. Build innovative solutions. Computer Vision, NLP, Video Analytics and IOT.

Job Role

• Ideate use cases to include recent tech releases.
• Discuss business plans and assist teams in aligning with dynamic KPIs.
• Design solution architecture from input to infrastructure and services used to data store.

Job Requirements

• Working knowledge about Azure Cognitive Services.
• Project Experience in building AI solutions like Chatbots, sentiment analysis, Image Classification, etc.
• Quick Learner and Problem Solver.

Job Qualifications

• Work Experience: 2 years +
• Education: Computer Science/IT Engineer
• Location: Mumbai

Job brief

We are looking for a Lead Data Scientist to lead a technical team and help us gain

useful insight out of raw data.

Lead Data Scientist responsibilities include managing the data science team, planning

projects and building analytics models. You should have a strong problem-solving ability

and a knack for statistical analysis. If you’re also able to align our data products with our

business goals, we’d like to meet you.

Your ultimate goal will be to help improve our products and business decisions by

making the most out of our data.

Responsibilities

● Conceive, plan and prioritize data projects

● Ensure data quality and integrity

● Interpret and analyze data problems

● Build analytic systems and predictive models

● Align data projects with organizational goals

● Lead data mining and collection procedures

● Test performance of data-driven products

● Visualize data and create reports

● Build and manage a team of data scientists and data engineers

Requirements

● Proven experience as a Data Scientist or similar role

● Solid understanding of machine learning

● Knowledge of data management and visualization techniques

● A knack for statistical analysis and predictive modeling

● Good knowledge of R, Python and MATLAB

● Experience with SQL and NoSQL databases

● Strong organizational and leadership skills

● Excellent communication skills

● A business mindset

● Degree in Computer Science, Data Science, Mathematics or similar field

● Familiar with emerging/cutting edge, open source, data science/machine learning

libraries/big data platforms

We are looking for

A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

Mentor and coach other team members

Evaluate the performance of NLP models and ideate on how they can be improved

Support internal and external NLP-facing APIs

Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

Proven ability to multi-task and deliver results within tight time frames

Must have strong verbal and written communication skills

Strong listening skills and eagerness to learn

Strong attention to detail and the ability to work efficiently in a team as well as individually

Hands-on experience with

NLP

Deep Learning

Machine Learning

Python

Bert

• A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

• Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
• Mentor and coach other team members
• Evaluate the performance of NLP models and ideate on how they can be improved
• Support internal and external NLP-facing APIs
• Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

• Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

• Proven ability to multi-task and deliver results within tight time frames
• Must have strong verbal and written communication skills
• Strong listening skills and eagerness to learn
• Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

• NLP
• Deep Learning
• Machine Learning
• Python
• Bert

Preferred Requirements

• Experience in Computer Vision is preferred

About the Company:

ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.

About the role: 

At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.

Responsibilities:

• Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
• Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
• Mentor and lead the experiments with other team members.
• Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
• 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
• Hands-on experience of ML model development and deploying.
• Experience working with training and fine-tuning LLM is a plus.
• Experience in audio/speech technologies is a plus.
• Strong programming skills in Python, node.js or other relevant programming languages.
• Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
• Strong analytical and problem-solving skills, with the ability to think out of the box.
• Self-starter with the ability to work independently and in a team environment.

Job Description-

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies

Skills:

* Object Detection

* Computer Science

* Image Processing

* Computer Vision

* Deep Learning

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL

Experience: 1- 5 Years

Job Location: WFH

No. of Position: Multiple

Qualifications: Ph.D. Must have

Work Timings: 1:30 PM IST to 10:30 PM IST

Functional Area: Data Science

NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems.

Job Responsibilities:

• Leverage AI/ML modeling and algorithms to deliver on use cases
• Build modeling solutions at speed and scale to solve business problems
• Develop data science solutions that can be tested and deployed in Agile delivery model
• Implement and scale-up high-availability models and algorithms for various business and corporate functions
• Investigate and create experimental prototypes that work on specific domains and verticals
• Analyze large, complex data sets to reveal underlying patterns, and trends
• Support and enhance existing models to ensure better performance
• Set up and conduct large-scale experiments to test hypotheses and delivery of models

Skills, Knowledge, Experience:

• Must have Ph.D. in an analytical or technical field (e.g. applied mathematics, computer science)
• Strong knowledge of statistical and machine learning methods
• Hands on experience on building models at speed and scale
• Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results
• Strong skills in oral and written communication
• Ability to lead a high-functioning team and develop and train people
• Must have programming experience in SQL, Python and R
• Experience conceiving, implementing and continually improving machine learning projects
• Strong familiarity with higher level trends in artificial intelligence and open-source platforms
• Experience working with AWS, Azure, or similar cloud platform
• Familiarity with visualization techniques and software
• Healthcare experience is a plus
• Experience in Kafka, Chatbot and blockchain is a plus.

Job Description 

Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialization in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution.. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes. 

A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. 

Responsibilities and skills: 

● Work with our customers to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. 

● Selecting features, building and optimizing classifiers using ML techniques ● Data mining using state-of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques 

● Should be able to appreciate and work on Computer Vision problems – for example extract rich information from images to categorize and process visual data— Develop machine learning algorithms for object and image classification, Experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects. 

OR 

● Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. 

OR 

● Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. Experience of having worked in these areas.

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Needs to appreciate deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow 

● Experience in working with GPUs to develop models, handling terabyte size datasets ● Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit-learn, caret etc - excellence in at least one of these is highly desirable ● Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc., 

● Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage

1. Minimum 2.5 years of experience as a Python Developer.
2. Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
3. Minimum 2.5 years of experience in SQL/ Postgress
4. Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
5. Minimum 2+ years of experience in deployment (CICD with Jenkins)
6. Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure

Responsibilities

> Selecting features, building and optimizing classifiers using machine

> learning techniques

> Data mining using state-of-the-art methods

> Extending company’s data with third party sources of information when

> needed

> Enhancing data collection procedures to include information that is

> relevant for building analytic systems

> Processing, cleansing, and verifying the integrity of data used for

> analysis

> Doing ad-hoc analysis and presenting results in a clear manner

> Creating automated anomaly detection systems and constant tracking of

> its performance

Key Skills

> Hands-on experience of analysis tools like R, Advance Python

> Must Have Knowledge of statistical techniques and machine learning

> algorithms

> Artificial Intelligence

> Understanding of Text analysis- Natural Language processing (NLP)

> Knowledge on Google Cloud Platform

> Advanced Excel, PowerPoint skills

> Advanced communication (written and oral) and strong interpersonal

> skills

> Ability to work cross-culturally

> Good to have Deep Learning

> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview

> will be an added advantage

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.

We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.

Location: Mumbai / Bangalore / Pune / Kolkata

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.

Key Responsibilities:

1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
6. Report and track defects, providing detailed information to facilitate problem resolution.
7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
8. Provide detailed reports and documentation on system performance, issues, and validation results.

Required Skills & Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
4. Proficient in scripting and programming languages such as Python, shell scripts etc.
5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
6. Excellent problem-solving abilities and attention to detail.
7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
8. Ability to work in a fast-paced, collaborative environment.

Preferred Skills & Qualifications:

1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
4. Understanding of Data Analysis and Visualization tools and techniques.

Roles & Responsibilities:

-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.

-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.

-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products

-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.

-Define and develop ML infrastructure to improve efficiency of ML development workflows.

Must Have:

- Experience in productizing and deployment of ML solutions.

- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR

. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.

- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)

- Years with relevant experience:

5+ -Experience or Knowledge in ML OPS.

Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.

TensorIoT: 

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

Requirement understanding and elicitation, analysis, data/workflows, contribution to product

projects and Proof of concept (POC)

 Contribute to preparing design documents and effort estimations.

 Develop AI/ML Models using best-in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

About UpSolve

We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.

What you will do

• Stay informed on new technologies and implement cautiously
• Maintain necessary documentation for the project
• Fix the issues reported by application users
• Plan, build, and design solutions with a mental note of future requirements
• Coordinate with the development team to manage fixes, code changes, and merging

Location: Mumbai

Working Mode: Remote

What are we looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
• Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience in developing and deploying machine learning models in production environments.
• Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
• Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
• Knowledge of databases and SQL for data storage and retrieval.
• Familiarity with version control systems such as Git.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic team environment.
• Good to have Cloud Exposure

• Lead the data science, ML, product analytics, and insights functions by translating sparse and decentralized datasets to develop metrics, standardize processes, and lead the path from data to insights.
• Building visualizations, models, pipelines, alerts/insights systems, and recommendations in Python/Java to support business decisions and operational experiences.
• Advising executives on calibration strategy, DEI, and workforce planning. 

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Roles & Responsibilities:

• Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics
• Work with senior leaders from all functions to explore opportunities for using advance analytics
• Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals
• Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies
• Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

Requirements

Experience:

• 5-8 years of working experience in ML/Data science preferably from remote sensing background.
• Experience in leading a team of both data scientist and machine learning engineers to solve challenging problems preferably in the Infrastructure and Utilities domain using geospatial & remote sensing data.
• Statistical knowledge along with great proficiency in python
• Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs
• Experience combining user research and data science methodologies across multiple products within the business unit.
• Must have delivered multiple data science product(s) in production.

Minimum qualification:

• Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred.

Competencies:

• Fantastic communication skills that enable you to work cross-functionally with business folks, product managers, technical experts, building solid relationships with a diverse set of stakeholders.
• The ability to convey complex solutions to a less technical person.
• Vast analytical problem-solving capabilities & experience.
• Bias for action.

Requirements

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.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

We are looking for Data Scientists with product exposure.

Work on Technical Machine Learning, AI and Software Projects

Capture use case and stakeholder requirements, document and in review with architecture team ensure requirements align to relevant features of a release.  

Capture a quantification of benefit each feature would bring to stakeholder and how adopting the product would materialize this.

Leveraging the articulation of benefit and impact of features develop a prioritization for next iteration of the product.

Develop the requirements and usage into effective user journeys which aligns to the AI / ML lifecycle.

Carry out industrial research on topic related to product and product families to ensure requirements and propose release align to industry best practices.

Support the documentation generation process to ensure end users will have sufficient information a the correct level of detail to leverage the product.

Support the UAT and testing stages in line with requirements captured by end users.

Interlock with end users to evaluate the effectiveness of the solution and if the pain points / requirements have been addressed

• Develop, train, and optimize machine learning models using Python, ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other relevant technologies.
• Implement MLOps best practices, including model deployment, monitoring, and versioning.
• Utilize Vertex AI, MLFlow, KubeFlow, TFX, and other relevant MLOps tools and frameworks to streamline the machine learning lifecycle.
• Collaborate with cross-functional teams to design and implement CI/CD pipelines for continuous integration and deployment using tools such as GitHub Actions, TeamCity, and similar platforms.
• Conduct research and stay up-to-date with the latest advancements in machine learning, deep learning, and MLOps technologies.
• Provide guidance and support to data scientists and software engineers on best practices for machine learning development and deployment.
• Assist in developing tooling strategies by evaluating various options, vendors, and product roadmaps to enhance the efficiency and effectiveness of our AI and data science initiatives.

From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.

No Of Positions: 1

Skills required: 

• The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
• Strong problem-solving skills with an emphasis on achieving proof-of-concept
• Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
• Knowledge of machine learning and deep learning fundamentals
• Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
• Experience writing and debugging code in an IDE
• Experience using managed web services (e.g., AWS, GCP, etc.)
• Strong analytical and communication skills
• Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
• Ability to learn new tools from documentation and internet resources.

Roles and responsibilities :

• You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
• Collaborate with client-facing teams to design and build operational AI solutions for client engagements.
• Identify relevant data sources for data wrangling and EDA
• Identify model architectures to use for client business needs.
• Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
• Present findings to teammates and key stakeholders in a clear and repeatable manner.

Experience :

2 - 14 Yrs

Job description

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

About Us

Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.

With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.

Job Brief

We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.

Credibility:

• You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
• You have the ability to directly connect business problems to research problems along with the latest emerging technologies.

Strategic Responsibility:

• To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc. 
• To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
• To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
• To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
• To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
• To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
• To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
• To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.

Personality:

• Requires excellent communication skills – written, verbal, and presentation.
• You should be a team player.
• You should be positive towards problem-solving and have a very structured thought process to solve problems.
• You should be agile enough to learn new technology if needed.

Qualifications:

• B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
• 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
• Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
• Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
• Working knowledge of Amazon Web Services(AWS).
• Experience with Docker and Kubernetes will be a plus.
• Experience with Natural Language Processing, Recommendation Systems, or Search Engines.

Our Culture

As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.

Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.

To know more about us, feel free to go through these videos:

1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&;t=6s

2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY

3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s

To view more videos, please access the below-mentioned link:

https://www.youtube.com/c/mindtickle/videos

Mindtickle is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.

Senior Data Scientist

Your goal: To improve the education process and improve the student experience through data.

The organization: Data Science for Learning Services Data Science and Machine Learning are core to Chegg. As a Student Hub, we want to ensure that students discover the full breadth of learning solutions we have to offer to get full value on their learning time with us. To create the most relevant and engaging interactions, we are solving a multitude of machine learning problems so that we can better model student behavior, link various types of content, optimize workflows, and provide a personalized experience.

The Role: Senior Data Scientist

As a Senior Data Scientist, you will focus on conducting research and development in NLP and ML. You will be responsible for writing production-quality code for data product solutions at Chegg. You will lead in identification and implementation of key projects to process data and knowledge discovery.

Responsibilities:

• Translate product requirements into AIML/NLP solutions

• Be able to think out of the box and be able to design novel solutions for the problem at hand

• Write production-quality code

• Be able to design data and annotation collection strategies

• Identify key evaluation metrics and release requirements for data products

• Integrate new data and design workflows

• Innovate, share, and educate team members and community

Requirements:

• Working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP • Working experience on large language models that cater to multiple tasks such as text generation, Q&A, summarization, translation etc is highly preferred

• Knowledge on MLOPs and deployment pipelines is a must

• Expertise on supervised, unsupervised and reinforcement ML algorithms.

• Strong programming skills in Python

• Top data wrangling skills using SQL or NOSQL queries

• Experience using containers to deploy real-time prediction services

• Passion for using technology to help students

• Excellent communication skills

• Good team player and a self-starter

• Outstanding analytical and problem-solving skills

• Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks a plus.

Why do we exist?

Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Thinkful Online Learning, and more, to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.

Video Shorts

Life at Chegg: https://jobs.chegg.com/Video-Shorts-Chegg-Services

Certified Great Place to Work!: http://reviews.greatplacetowork.com/chegg

Chegg India: http://www.cheggindia.com/

Chegg Israel: http://insider.geektime.co.il/organizations/chegg

Thinkful (a Chegg Online Learning Service): https://www.thinkful.com/about/#careers

Chegg out our culture and benefits!

http://www.chegg.com/jobs/benefits

https://www.youtube.com/watch?v=YYHnkwiD7Oo

http://techblog.chegg.com/

Chegg is an equal-opportunity employer

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 .

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

We are a stealth startup focusing on AI in healthcare and are looking for software engineers to join our PoC (Proof of Concept) team. You will be a core member of the company with equity options. If you are ambitious, excited about next-generation tech and have a constant hunger to learn, we encourage you to apply.

Your responsibilities:

• Design and develop full-stack web applications for PoC.
• Implement computer vision and NLP based deep learning models.
• Participate in client meetings and refine product capabilities.

Essential requirements:

• Interested in working at startups.
• Ability to work independently.
• Experienced in developing full-stack web applications.
• Strong command over React and Python.
• Good experience with Data Science.
• Comfortable with ambiguity and frequent changes to project scope in innovation environment.

Data 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

Data 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

Data 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

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.

Responsibilities

• Lead the CV and DS Team
• Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
• Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
• You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
• Statistical data modelling and machine learning research.
• Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
• Conduct applied research to model complex dependencies, statistical inference and predictive modelling
• Technological conception, design and implementation of new features
• Quality assurance of the software through planning, creation and execution of tests
• Work with a cross-functional team to define, build, test, and deploy applications

Requirements:

• Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
• 3-4 years of experience with computer vision and data science.
• Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
• Experience building production-quality and well-engineered Computer Vision and Data Science products.
• Experience in image processing, algorithms and neural networks.
• Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
• Solid Python engineering skills and experience with Python, Tensorflow, Docker
• Cooperative and independent work, analytical mindset, and willingness to take responsibility
• Fluency in English, both written and spoken.

Company Overview:

At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Required Skills (Technical):

•  Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch.
•  Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.
• Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
• Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases).
• Knowledge of REST APIs and Web Services
• Experience with Python, R, sh/bash

Required Skills (Non-Technical):

• Fluent in English Communication (Spoken and verbal)
• Should be a team player
• Should have a learning aptitude
• Detail-oriented, analytically.
• Extremely organized with strong time-management skills
• Problem Solving & Critical Thinking

**Required** • 3+ years’ experience designing, developing, and implementing ML / AI algorithms • Strong programming skills in python, including fundamental software engineering principles and machine learning design patterns. • Experience with at least one Deep Learning framework such as TensorFlow, PyTorch, or Keras, or ML framework such as Scikit-learn • Demonstrated understanding in AI/ML algorithms, learning models, graphical models, overfitting, regularization, etc. • Experience in building ML pipelines for processing large datasets. • Understanding of state-of-the-art approaches to computer vision • Experience in working with medical images (MRI/CT/X-Ray, etc…) • Refereed publications in premiere computer vision and/or bioinformatics venues. • Deep knowledge of math (linear algebra), probability, statistics and algorithms • Outstanding analytical and problem-solving skills • Work well with in a fast moving, small team environment