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Machine Learning (ML) Jobs in Mumbai

Explore top Machine Learning (ML) Job opportunities in Mumbai for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Data Scientist
Data Scientist

Founded 2008
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Mumbai
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3 - 5 years
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Best in industry12 - 18 lacs/annum

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

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Manas Ranjan Kar
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Senior Data Engineer
Senior Data Engineer

via upGrad
Founded 2015
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Mumbai
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3 - 7 years
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Best in industry12 - 20 lacs/annum

About UpGrad : UpGrad is an online education platform building the careers of tomorrow by offering the most industry relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. UpGrad currently offers programs in Data Science, Big Data, Product Management, Digital Marketing, Entrepreneurship and Management. UpGrad was rated as one of the top 10 most innovative companies in India for 2017 - https://www.fastcompany.com/most-innovative-companies/2017/sectors/india . UpGrad is co-founded by 3 IIT-Delhi and Parthenon alumni and the 4th co-founder is serial entrepreneur Ronnie Screwvala. UpGrad has a committed capital of 100Cr and in the first year of operations, has built the largest revenue generating online program in India (PG Diploma in Data Science) and the largest enrolment online program in India (Start-up India learning program). Position : Senior Data Engineer Position Type : Full Time Location : Mumbai We are looking for an experienced Data Engineer for product and business analytics who will design and build mission critical data pipelines in SQL environment. As a Senior Data Engineer, you will: - Engineer data pipelines ( batch and real-time ) that aids in creation of data-driven products for our platform - Design, develop and maintain a robust and scalable data-warehouse - Work closely alongside Product managers and data-scientists to bring the various datasets together and cater to our business intelligence and analytics use-cases - Design and develop solutions using data science techniques ranging from statistics, algorithms to machine learning - Perform hands-on devops work to keep the Data platform secure and reliable Basic Qualifications - Bachelor's degree in Computer Science, Information Systems, or related engineering discipline - 4+ years’ experience with ETL, Data Mining, Data Modeling, and working with large-scale datasets - 1+ years’ experience with an object-oriented programming language such as Python, C++, Java, etc. - Extremely proficient in writing performant SQL working with large data volumes - Experience with map-reduce concepts - Experience in building automated analytical systems utilizing large data sets. - Familiarity with AWS technologies preferred

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