- You'd have to set up your own shop, work with design customers to find generalizable use cases, and build them out.
- Ability to collaborate with cross-functional teams to build and ship new features
- At least 2-5 years of experience
- Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering.
- Exploratory Data Analysis – Data Preparation, Data Exploration, and Data Visualization.
- Analytics Tools – R, Python, SQL, Power BI, MS Excel.
About Global SaaS product built to help revenue teams. (TP1)
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Roles and Responsibilities
- Managing available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
- Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Defining validation framework and establish a process to ensure acceptable data quality criteria are met
- Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
- Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
- Device self-learning strategies through analysis of errors from the models
- Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
- Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
- Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.
Preferred Technical & Professional expertise
- Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
- At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
- In-depth knowledge of cloud analytics tools.
- Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
- Ability to evaluate hardware selection for running ML models for optimal performance
- Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
- Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
- Deep analytical thinking with excellent problem-solving abilities
- Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
- Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
- Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
- Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards
Introduction
http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis.
Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls
Your Roles and Responsibilities
Synapsica is looking for a Principal AI Researcher to lead and drive AI based research and development efforts. Ideal candidate should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects and should be excited to work on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions.
The role involves computer vision tasks including development customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.), and traditional Image Processing (OpenCV, etc.). The role is research-focused and would involve going through and implementing existing research papers, deep dive of problem analysis, frequent review of results, generating new ideas, building new models from scratch, publishing papers, automating and optimizing key processes. The role will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. Suitable candidate will collaborate closely both with the medical research team, software developers and AI research scientists. The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.
Primary Responsibilities
- Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products.
- Formulate and design AI capabilities of our stack with special focus on computer vision.
- Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment and relevant automations
- Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap.
- Organize regular reviews and discussions.
- Keep the team up-to-date with latest industrial and research updates.
- Publish research and clinical validation papers
Requirements
- 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
- Prior experience in leading and managing a team.
- Strong problem-solving ability
- Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
- Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
- Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
- Background in publishing research papers and/or patents
- Computer Vision and AI Research background in medical domain will be a plus
- Experience of GPU/DSP/other Multi-core architecture programming
- Effective communication with other project members and project stakeholders
- Detail-oriented, eager to learn, acquire new skills
- Prior Project Management and Team Leadership experience
- Ability to plan work and meet the deadline
Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.
We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.
What we expect from you
- Degree in Statistics, Maths, Physics, Economics or similar field
- Programming skills (Python and SQL are a must have)
- Analytical Techniques and Technology
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
- Logical thinking and problem solving
- Strong communication skills
- Statistical Modelling and experience of applying data science into client problems
- 2 to 5 years of experience required
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not.
Plus, thoughtful perks, like early finish Friday and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Women’s Network, dh Proud, dh Parent’s & Carer’s, dh One and dh Thrive as the living proof. Everyone’s invited.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
We have an Excellent job Opportunity for "Applied Machine Learning Engineer" with one of thr Product based organization for Remote Working Mode or for Mumbai Location.
Job Responsibilities:
- Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
- Understanding the business objectives & defining the right target metrics to track performance & progress.
- Defining & building datasets with the appropriate representation techniques for learning.
- Training & tuning models. Running evaluation & test experiments on the models.
- Build ML pipelines end to end. (Everything MLOps.)
- Building pipelines for the various stages.
- Deploying models.
- Troubleshooting issues with models in production.
- Reporting results of model performance in production.
- Retraining, performance logging & maintenance.
- Help the business with insights for better decision-making. You will build many predictive models for internal business operations
you will derive insights from the trained models & data to help the product & business teams make better decisions.
Requirements:
- 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
- Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
- Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
- Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc. Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
- Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
- Experience with ML infrastructure & shipping models.
- Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
- Strong understanding of database systems & schema design. Proficient in SQL
Please let us know if you are interested in the above opening and if interested please let us know your
Current CTC :
Expected CTC :
Notice Period :
Relevant experience in Machine Learning :
Relevant experience in Deep Learning:
Relevant experience in NLP Applications:
Regards
Ashwini
About Us
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, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
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upGrad was awarded the Best Tech for Education by IAMAI for 2018-19
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upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-
after startups in India
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upGrad was earlier selected as one of the top ten most innovative companies in India
by FastCompany.
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We were also covered by the Financial Times along with other disruptors in Ed-Tech
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upGrad is the official education partner for Government of India - Startup India
program
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Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning
Role Summary
Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.
Roles & Responsibilities-
- 3+ years of experience in analytics, data science, machine learning or comparable role
- Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline
- Experience in building and deploying Machine Learning models in Production systems
- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
- Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
- Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders
- Comfortable dealing with ambiguity and competing objectives
Skills Required
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Experience in Text Analytics, Natural Language Processing
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Advanced degree in Data Science/Data Analytics or Math/Statistics
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Comfortable with data-visualization tools and techniques
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Knowledge of AWS and Data Warehousing
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Passion for building data-products for Production systems - a strong desire to impact
the product through data-science technique
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JOB DESCRIPTION
- 2 to 6 years of experience in imparting technical training/ mentoring
- Must have very strong concepts of Data Analytics
- Must have hands-on and training experience on Python, Advanced Python, R programming, SAS and machine learning
- Must have good knowledge of SQL and Advanced SQL
- Should have basic knowledge of Statistics
- Should be good in Operating systems GNU/Linux, Network fundamentals,
- Must have knowledge on MS office (Excel/ Word/ PowerPoint)
- Self-Motivated and passionate about technology
- Excellent analytical and logical skills and team player
- Must have exceptional Communication Skills/ Presentation Skills
- Good Aptitude skills is preferred
- Exceptional communication skills
Responsibilities:
- Ability to quickly learn any new technology and impart the same to other employees
- Ability to resolve all technical queries of students
- Conduct training sessions and drive the placement driven quality in the training
- Must be able to work independently without the supervision of a senior person
- Participate in reviews/ meetings
Qualification:
- UG: Any Graduate in IT/Computer Science, B.Tech/B.E. – IT/ Computers
- PG: MCA/MS/MSC – Computer Science
- Any Graduate/ Post graduate, provided they are certified in similar courses
ABOUT EDUBRIDGE
EduBridge is an Equal Opportunity employer and we believe in building a meritorious culture where everyone is recognized for their skills and contribution.
Launched in 2009 EduBridge Learning is a workforce development and skilling organization with 50+ training academies in 18 States pan India. The organization has been providing skilled manpower to corporates for over 10 years and is a leader in its space. We have trained over a lakh semi urban & economically underprivileged youth on relevant life skills and industry-specific skills and provided placements in over 500 companies. Our latest product E-ON is committed to complementing our training delivery with an Online training platform, enabling the students to learn anywhere and anytime.
To know more about EduBridge please visit: http://www.edubridgeindia.com/">http://www.edubridgeindia.com/
You can also visit us on https://www.facebook.com/Edubridgelearning/">Facebook , https://www.linkedin.com/company/edubridgelearning/">LinkedIn for our latest initiatives and products