Natural Language Processing (NLP) Jobs in Mumbai

Company Profile and Job Description   About us:   AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries.   For more details visit: www.athenasowl.tv       Role:    Senior Machine Learning Engineer   Experience Level:    4 -6 Years of experience   Work location:    Mumbai (Malad W)       Responsibilities:    Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale     The ideal candidate should have:    Strong programming skills in any one or more programming languages like Python and C/C++ Sound fundamentals of data structures, algorithms and object-oriented programming Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc. Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.) Ability to quickly learn and communicate the latest findings in AI research Creative thinking for leveraging machine learning to build end-to-end intelligent software systems A pleasantly forceful personality and charismatic communication style Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”

ABOUT EPISOURCE:Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases. The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? We have built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflows. Combined, these build a foundation of tools and practices used by quantitative staff across the company. Our platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services.  What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve. ABOUT THE ROLE: We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes. This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals. You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company. SKILLS: Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience Knowledge of deep learning & NLP Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets. Experience with GPU computing is a plus. Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company. Expert-level experience with a wide range of quantitative methods that can be applied to business problems. Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization. Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders. Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling What you will achieve: Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space Partner with the executive team and other business leaders to deliver cross-functional research work and models

1. The candidate should be passionate about machine learning and deep learning.2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.3. Hands-on experience with statistical, machine-learning tools and techniques4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.8. Expert level coding experience in Python.9. Technologies: Backend - Python (Programming Language)10. Should have the ability to think long term solutions, modularity, and reusability of the components.11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes. This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals. You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company. What you will achieve: Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space Partner with the executive team and other business leaders to deliver cross-functional research work and models Required Skills: Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience Knowledge of deep learning & NLP Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets. Experience with GPU computing is a plus. Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company. Expert-level experience with a wide range of quantitative methods that can be applied to business problems. Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization. Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders. Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Qualifications Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization Expert-level experience with machine learning that can be applied to business problems Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application) 5+ years of industry experience in data science and machine learning, preferably at a software product company 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you 3+ years of experience partnering with executive staff on data topics

To know about us : http://www.media.net/en/aboutus

Does the current state of media frustrate you? Do you want to change the way we consume news? Are you a kickass machine learning practitioner and aspiring entrepreneur, who has opinions on world affairs as well? If so, continue reading! We at UnFound are developing a product which simplifies complex and cluttered news into simple themes, removes bias by showing all (& often unheard of) perspectives, and produce crisp summaries- all with minimal human intervention! We are looking for passionate and experienced machine learning ENGINEER/INTERN, *preferably* with experience in NLP. We want someone who can take initiatives. If you need to be micro-managed, this is NOT the role for you. 1. Demonstrable background in machine learning, especially NLP, information retrieval, etc. 2. Hands on with popular data science frameworks- Python, Jupyter, TensorFlow, PyTorch. 3. Implementation ready background in deep learning techniques like word embeddings, CNN, RNN/LSTM, etc. 4. Experience with productionizing machine learning solutions, especially ML powered mobile/ web-apps/ BOTs. 5. Hands on experience on AWS, and other cloud platforms. GPU experience is strongly preferred. 6. Thorough understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.) 7. Good Kaggle (or similar) scores, MOOC (Udacity, Coursera, fast.ai, etc.) preferred.

Opportunity to build a product ground up. Solving for one of the first use cases where we can do a successful business deployment of NLP techniques and Machine Learning. More when we speak! Indicative salary post funding. Currently bootstrapped to build a demo POC. Significant Equity on offer. Keen to connect with folks with an entrepreneurial bend and not pseudo entrepreneurs looking for the cushion of a fat salary from the get go.

Nextalytics is an offshore research, development and consulting company based in India that focuses on high quality and cost effective software development and data science solutions. At Nextalytics, we have developed a culture that encourages employees to be creative, innovative, and playful. We reward intelligence, dedication and out-of-the-box thinking; if you have these, Nextalytics will be the perfect launch pad for your dreams. Nextalytics is looking for smart, driven and energetic new team members.