1. Amazon (New Delhi)- Business Development Manager
Role Description:
Professionals with broad and deep experience in both the business and technical aspects of cloud computing, especially in artificial intelligence (AI) and machine learning (ML) are suitable for the post of AI Business Development Manager. Having rich experience understanding and influencing compute technology choices and building programs to remove obstacles to adoption with public sector customers (governments, educational institutions, non-profits) can add up to the resume well. The Business Development Manager in general, helps business leaders and technologists adopt new cloud services and envision a future where smarter machines solve complex business problems.
Responsibilities:
• Build a strong understanding of AI/ML technology and related industry developments, including certain companies’ services.
• Communicate internally and externally about company’s AI/ML approach, value proposition, and offerings. Help field teams understand AI/ML services and help customers successfully adopt them.
• Understand and uncover customers’ challenges in adopting AI/ML, and show how company solutions can help them provide new services, new capabilities, and new efficiencies.
• Work with partners, internal teams, and customers to determine best use-cases, deployment, and adoption of AI/ML and related technologies, etc.
• Work closely with global account teams of the company and sales and technical leadership to build programs that accelerate adoption of AI/ML, including generating technical content and white papers.
• Define and deploy AI/ML campaigns and work with sales and field teams to implement them.
• Identify and remove obstacles that block adoption of AI/ML and related workloads.
Qualification & Eligibility:
• 10 years or more of relevant technical leadership, product management, business development, in and around information technologies.
• 3 years or more of experience in AI/ML (e.g., product management, business development, technical marketing, etc.).
• 1 or more years of experience with public cloud computing services.
• Bachelor’s degree in computer science, engineering or related technical degree.
• In-depth experience in AI/ML technology, market dynamics, and customer requirements.
• Demonstrated ability to think strategically about business, product, and technical challenges.
• Demonstrated ability to build and scale programs that remove blockers to customer adoption and accelerate adoption.
• Strong organizational, presentation, and writing skills.
Technical and Other Knowledge:
The ideal candidate for the job will possess technical expertise in AI and ML, along with a diverse technical, IT management, and/or engineering background. The person need to have knowledge of cloud computing, industry trends, and product developments as well.
The role of business development manager requires a strong passion for working with customers and partners, a high level of comfort navigating ambiguity, and attention to detail. Candidate will need to travel for face-to-face customer engagements, internal conferences, and industry events.
Salary Range:
Average Salary Ranges From 5 to 7 lac per annum.
2. Accenture (Bengaluru)-AI Team Leader
Role Description:
The person will be a critical member of an engineering team working on architecture, developing and augmenting cutting edge AI technology, which is a crucial part of our next generation AI based financial service platform and leading a team of R&D Engineers.
He/she should be master of almost everything including Artificial Intelligence, Machine Learning/Natural Language Processing (practical or/& computational linguistics)/ Deep Learning (text/vision/speech)/Reinforcement Learning (practical applications).
Responsibilities:
The selected candidate will be responsible for the entire development cycle of the solution, turning an idea into a working product, including, definition, implementation, testing and debugging. Optionally also, discussion with partners and strategic customers. He/she should be able to lead a team while adapting to AI technologies with consumer-centric approach.
Qualification & Eligibility:
• At least 3-years hands-on experience with machine learning and neural networks and overall 5-8 years of experience in AI centric profile.
• Good theoretical understanding of CNN RNN, supervised learning, reinforcement learning.
• Ability to take a task from concept to full implementation.
• Creative thinking.
• Experience in data collection in simulation and field.
• Experience in DNN framework infrastructure (TensorFlow Caffe etc).
• Ability to lead team and interact with other teams.
• MATLAB/python as mother language.
Technical and Other Knowledge:
• Familiar with Java / J2EE, Python.
• Familiar with Apache OpenNLP or NLTK, ClearTK etc.
• Expertise with NLP algorithms like Entity Recognition and Extraction, Text Classification, Query Parsers.
• Understands Linguistics and the underlying algorithms behind NLP.
• Familiar with NLP in an Internationalised Context.
• Familiarity with AWS, Linux, Unix.
• Familiarity with Git, SVN, Jira.
• Familiarity with Agile Tools and Methodologies.
Salary Range:
Average Salary Ranges From 6 to 8 lac per annum.
3. Amazon (Bengaluru)-Data Scientist
Role Description:
As a Data Scientist, the candidate will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. The person will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.
The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Responsibilities:
• Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions.
• Employ the appropriate algorithms to discover patterns of risks, abuse and help reduce bad debt.
• Design experiments, test hypotheses, and build actionable models to optimize company operations.
• Solve analytical problems, and effectively communicate methodologies and results.
• Build predict models to forecast risks for product launches and operations and help predict workflow and capacity requirements for company operations.
• Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies.
• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area.
Qualification & Eligibility:
• Bachelor’s Degree in any quantitative discipline such as Statistics, Mathematics, Quantitative Finance or Operational Research.
• At least 3 years of experience working in Analytics / Business Intelligence environment.
• Experience in working with databases and SQL in a business environment.
• Prior experience in design and execution of analytical projects.
• Worked extensively in large scale databases and data warehouses.
• Experience in e-commerce / on-line companies in fraud / risk control functions.
• Experience in statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering, etc.
• Compelling communication and influencing skills and participation in winning the support of management and influence the course of major strategic decisions.
Technical and Other Knowledge:
• Demonstrated use of analytical packages and query languages such as SAS, SPSS and SQL.
• Experience/knowledge of advanced machine learning techniques such as GBM, random forest, etc.
• Coding skills in one of the modern languages Java, Python, Scala, R.
• Experience with visualization technologies such as Tableau.
Salary Range:
Average Salary Ranges From 7 to 10 lac per annum.
4. Wipro (Bengaluru)-ML Architect
Role Description:
The candidate will be entitled to build scalable machine learning systems and data-driven products working with cross functional teams Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud Working w/ one or more of the following Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
Responsibilities:
• Research, design, develop, and modify computer vision and machine learning algorithms and models.
• leveraging experience with technologies such as Caffe, Torch, or TensorFlow.
• Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives.
• Help build a high-impact ML/AI team by supporting recruitment, training and development of team members.
• Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels.
• Designing integrations of and tuning machine learning & computer vision algorithms.
• Research and prototype techniques and algorithms for object detection and recognition Convolutional neural networks (CNN) for performing image classification and object detection.
Qualification & Eligibility:
Have experience 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets.
Have Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.
Technical and Other Knowledge:
• Familiarity with Embedded Vision Processing Systems Open source tools & platforms Statistical Modelling, Data Extraction, Analysis, Construct, train, evaluate and tune neural networks
• Java
• C++
• Python
• Deep Learning frameworks such as Caffe OR Torch OR TensorFlow
• Image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc
• Supervised & Unsupervised Learning
• Developed feature learning, text mining, and prediction models (eg, deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau)
• Tableau, Hadoop, Spark, HBase, Kafka
Salary Range:
Average Salary Ranges From 4 to 6 lac per annum.
5. Google (Hyderabad)-Machine Learning Engineer
Role Description:
The person will help the company create artificial intelligence products. He/she will be entitled to create machine learning models and retraining systems. To do this job successfully, the person needs exceptional skills in statistics and programming. Having knowledge of data science and software engineering can probably get him the desired job.
• The ultimate goal of ML Engineer will be to shape and build efficient self-learning applications.
Responsibilities:
• Designing and developing machine learning and deep learning systems.
• Running machine learning tests and experiments.
• Implementing appropriate ML algorithms.
• Study and transform data science prototypes.
• Design machine learning systems.
• Research and implement appropriate ML algorithms and tools.
• Develop machine learning applications according to requirements.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks.
• Keep abreast of developments in the field.
Qualification & Eligibility:
• Qualification and relevant work experience in same field is required.
• Proven experience as a Machine Learning Engineer or similar role.
• Ability to work in a team.
• Outstanding analytical and problem-solving skills.
• BSc in Computer Science, Mathematics or similar field.
• Master’s degree is a plus.
Technical and Other Knowledge:
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms.
• Ability to write robust code in Python, Java and R.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Excellent communication skills.
Salary Range:
Average Salary Ranges From 4 to 7 lac per annum.
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