Since 1992, Ciena has been driven by a relentless pursuit of network innovation. We believe in a network that grows smarter, more agile, and more responsive every day. This means that when you digitally interact in your worldpicking up the phone, streaming video, texting a friend or loved one – your interactions are being enabled by Ciena technologies. Ciena makes your social / entertainment / business existence REAL.

Job Description

We are looking for a research engineer that will prototype new applications of Artificial Intelligence and Machine Learning (AI/ML) for telecommunications networks. All candidates must be proficient with ML methodology and Python ecosystem, with a proven record of innovative research, and a genuine interest for telecommunications networking technologies and business. The successful candidate will join an elite team that has invented several successful AI/ML applications already and will report directly to the Chief Data Scientist.

Responsibilities

• Explore feasibility of new AI/ML use-cases with telecommunications network data
• Process raw datasets from real-world networks to make them consumable by AI/ML
• Understand what information is contained in the above datasets and capture it with effective metrics and visualizations
• Generate complementary datasets with Labs and simulators
• Perform rigorous data analysis, build predictive ML models, and benchmark models’ accuracy
• Embed ML models and other data-driven algorithms in concrete applications
• Demonstrate the added value of the application for end-users

Collaboration with stakeholders

• Direct report to the Chief Data Scientist of the Blue Planet division
• Daily work with researchers from Ciena, academia and commercial partners
• Close collaboration with engineering teams and product line management.
• Occasional interactions with Blue Planet customers
• All the above in an international multi-disciplinary team environment

Areas of impact

• Applied research & intellectual property
• Software engineering
• Product roadmap
• Telecommunications network operations

Experience/skills

• Proficient in Python/ML ecosystem: Pandas, Scikit-Learn, XGBoost, TensorFlow, PyTorch
• Proficient with object-oriented and functional programming concepts
• Familiar with other programming languages: Scala, Java, GO, C++ or JavaScript
• Familiar with distributed computing and Big Data technologies
• Familiar with telecommunications networking: Optical, IP, SD-WAN, Cellular, 5G
• Experience with cloud (AWS, Azure), Kubernetes, Docker an asset
• Experience with Telecom NOCs, TAC, OSS an asset
• Ability to quickly learn new technologies
• Ability to invent and think outside the box

Education And Experience

• Masters or Ph.D. in Electrical/Computer Engineering, Computer Science or Pure Science

and/or

• 2+ years of experience in a data science role in industry

Ciena is a global supplier of telecommunications networking equipment, software and services. Our solutions form the foundation of many of the largest, most reliable and most sophisticated networks around the world.

• LI-CN

About Ciena

Ciena is a network strategy and technology company with a passion to provide an experience, to you and our customers that is as rewarding as the outcome. We attract the best and brightest– those with outstanding talent, motivation, and the right attitude to contribute to our success. Our culture balances our openness and informality with professionalism and trust and is built on the foundation of our core values: Customer First, Integrity, Velocity, Innovation, and Outstanding People.

Ciena enables everyone to have a voice and a network that supports them while on the journey to discovering their passion and purpose. We trust each individual to do what they can to reach their full potential and make an impact on the business, whenever, wherever they are in the world. With Ciena’s highly innovative, forward-thinking business practices, we reward people for pushing the boundaries. Unlock your potential at Ciena!

Being You @ Ciena

As part of our commitment to diversity and inclusion, we want to foster an environment that values and respects all individual’s strengths, perspectives, ideas, and ability to meet the needs of our customers globally. Ciena values the diversity of its workforce and respects its employees as individuals, regardless of race, ethnicity, religion, gender, age, national origin, disability, sexual orientation, veteran or marital status or any other category protected by applicable law. We do not tolerate any form of discrimination. Ciena is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If contacted in relation to a job opportunity, you should advise Ciena in a timely fashion of the specific accommodation measures required for you to be assessed in a fair and equitable manner.

We do not charge any fee for employment and the same applies to the Recruitment Partners we work with. Additionally, we do not ask for any refundable security deposit to be paid in bank accounts for employment purposes. We request candidates to be cautious of misleading communications and not pay any fee/ deposit to individuals/ agencies/ employment portals on the pretext of attending Ciena’s interview process or seeking employment with us.

Responsibilities

• Propose and develop solutions independently. Research about state-of-the-art solutions and novel methods to solve AI problems.
• Collect new data and refinement of existing data sources for modeling.
• Deploy solution as an endpoint API using web-server, containers, and Scale the solution by working with the engineering team.
• Work closely with Data Scientists and build solutions for data processing, modeling, and deployment.
• Analyze, Interpret and communicate findings, risks to respective teams

Requirements

• Masters or Bachelors in a relevant field (Computer Science, Information Technology and related fields).
• Should have done relevant projects in Data Science and Artificial Intelligence.
• Should have a strong understanding of ML algorithms and data science libraries like Numpy, Pandas, Scikit, and Matplotlib.
• A strong understanding of Probability and Statistics.
• Ability to pull data from SQL/NoSQL sources and do basic data manipulation.
• Fluency in scripting language Python.
• Understanding of cloud computing platforms like AWS/Azure, Version Control (Git), and REST API would be preferred.

Benefits

As per company policies

About Entropik Technologies

Entropik Tech is the world’s leading Emotion AI platform that reads human emotions and helps brands redefine their offerings and experiences. In our mission to humanize experiences, we have built AI technologies that understand human emotion through Facial Expressions, Eye Movement, Voice Tonality, and Brainwavesin a fast and scalable manner.

Our diverse product portfolio allows you to measure experiences across Media, Digital, and Shopper interactions in an accurate and meaningful way.

Entropik Tech provides emotional insights to over 150 global brands in CPG, Retail, Media & Publishing, Telecom, and Financial Services industries, amongst others. We are present across North America, Europe, the Middle East, India, and South-East Asia.

www.entropiktech.com

www.affectlab.io

The role of our 2nd Line of Defense CCOR organization is to support the company in maintaining the highest standards of ethical conduct and operational compliance with both the spirit and intent of the many policies, laws, rules, and regulations that govern the JP Morgan Chase Lines of Business (LOBs) and Corporate Functions.

The Compliance, Conduct and Operational Risk (CCOR) Data Analytics Testing team is seeking a highly self-motivated individual that possesses analytical and investigative capabilities. This position will be located at the Hyderabad location of the Corporate Centers in India . The team will be covering all Lines of Business within JP MorganCorporate and Investment Bank, Asset Wealth Management, Commercial Bank and Consumer Community Banking.

The primary role of the CCOR M&T Data Analytics team is to transform/ automate using digital transformation tools, build machine learning models, apply statistical techniques for effective risk management practices. It shall extract relevant data from line of business systems of record to construct test populations, define testing approaches and design and document test procedures and attributes in order to perform an analysis of the results relative to the applicable policy, rules, laws and regulations governing the lines of business functions. This role will assist in enabling the transformation of CCOR M&T from a manual process based organization to one that will leverage various automated analytics tools and approaches to assess conformance with regulatory requirements impacting the LOBs and Corporate Functions.

GENERAL LEVEL OF RESPONSIBILITY:

• Support the existing automated Testing routines:

• Build and Test Automation scripts that automate CCOR Compliance Testing activities in accordance with the firm’s CCOR Monitoring & Testing procedures
• Develop and maintain program scripts to extract population data from the systems of records (SORs) to support testing activities
• Document business requirements for Automation / the build of analytics and also generate SOPs for handover of automation to the CCOR Testing team for use as BAU activity
• Update Test papers that look to document the data extraction / Automation / Analytics approach to extract data / Automate Compliance Testing activities / Drive deeper insights into Compliance Test results

• Deliver business insights to strengthen controls and compliance: Leverage basic data exploration techniques (Descriptive and prescriptive/predictive analytics) to support current testing routines that seek to measure compliance to the various laws, regulations and guidelines. Design, build, and execute data quality controls that ensure completeness and accuracy on risk datasets and reports
• Automation of testing models and building automated monitoring models: Partner with CCOR testers and the business to automate all testing activities and increase frequency to monitor compliance in ‘close to real time’. Identify opportunities to:
  • Automate the extraction of population data from the SORs
  • Digitize the testing activities (Automate all testing and increase frequency of monitoring
• Optimization and strengthening of Monitoring ModelsPartner with the Machine Learning and Artificial Intelligence team to enhance and optimize automated monitoring models that not only measure current compliance but also future compliance risks
• Deliver Value : Deliver concrete analytical solutions to existing/new business problems using a combination of business understanding as well as machine learning / AI tools and techniques
• Maintain strong business relations: Establish and maintain a consistent dialog and relationship with Compliance testing peers

Continuous improvement Mindset: Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.

Boundary less behavior: Execute special projects as assigned by CCOR management

Requirements

• Bachelor or advanced degree
• Overall Experience – 69 years in Automation / Model building. , Experience of working in an Audit / Testing / Compliance or risk management environment will be additionally preferred but not mandatory.
• Data Management Skills – ability to work with large volumes of data efficiently. Strong technical background and ability to manage and manipulate data extracted from systems of record
• Analytical Skills – Analyze large sets of Data to accurately measure metrics / define metrics. Analyze their datasets, their schema and metadata in the SOR architecture, to be able to define business context and drive automation
• Excellent verbal and written communication skills – Effective executive summarization of complex business problems and solutions
• Experience in working with Software and programming languages such as SAS / R / Python
• Good Knowledge of Automation tools like Alteryx, Power BI and Xceptor
• Working knowledge of all Microsoft Applications
• Ability to effectively multi taskwork on 2- 3 automation request concurrently
• Maintain the highest standards of confidentiality and professionalism when handling sensitive information
• Strong practical knowledge of analytical techniques and methodologies such as machine learning
• Strong understanding of data profiling and data cleansing techniques
• Ability to develop and implement state of the art, fully scalablevarious machine learning models / algorithms for risk detection, classification, prediction to aid in continuous monitoring and testing activities. (In partnership with a the AI and Machine learning team)

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

Job Description

• Understand the latest industrial developments in AI/ML
• Ability to translate requirements into design specifications and experience in developing design documents
• Build data ingest and data transformation infrastructureIdentify transfer learning opportunities and new training datasets.
• Build AI models from scratch and help product managers and stakeholders understand results.
• Should have understanding on conversational AI and related platforms like Dialogflow, Microsoft Azure bot Services, IBM Watson, Rasa stack

Desired Candidate Details

• A good programming and problem-solving spirit.
• Work experience in NLP and NLU techniques
• Hands on experience in supervised machine techniques and algorithms, such as GLM, Linear regression,
• Hands on experience in unsupervised machine learning techniques and algorithms, such as various clustering algorithms, dimensionality reduction techniques.
• Hands on development experience in Java/Javascript/Python/C# (Min. 3 yrs.)
• A high level of attention to detail, excellent follow through, and reliability
• Working knowledge with cloud platforms such as AWS, Azure
• Optional proficiency in using Databases such as MYSQL and Mongo DB

Key Skills

• machine learning
• python
• bot
• artificial intelligence
• java
• problem solving
• Analytics

Job Details

Skill required: Data ManagementAmazon Web Services

Designation: Associate Manager

Job Location: Bengaluru

Qualifications: Master of Business Administration

Years of Experience: 10-14 years

About Accenture Operations

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 624,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

What would you do?

You will be aligned with our Insights & Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area.

You will be working as a part of Data Management team which is accountable for Data Management that includes fully scalable relational database management system. ETL(Extract, Transport and Load)Set of methods and tools to extract data from outside sources, transform it to fit an organization`s business needs and load it into a target such as the organization`s data warehouse.

The Amazon Web Services (AWS) team is responsible for the architecture and database design of external data integration services. The team is also responsible for developing dynamically scalable, highly available, highly reliable and fault-tolerant backend services utilizing AWS cloud services. The role may require for you to have a good understanding of AWS Athena, AWS Lambda and Amazon Simple Storage Service (S3).

What are we looking for?

We are looking for individuals who have the following skillset:

• Big Data Analytics
• Hadoop
• SQL (Structured Query Language)
• Adaptable and flexible
• Ability to perform under pressure
• Problem-solving skills
• Detail orientation
• Ability to establish strong client relationship

Roles and Responsibilities

• In this role, you need to analyze and solve moderately complex problems
• You will typically be creating new solutions, leveraging and, where needed, adapting existing methods and procedures
• The role requires a clear understanding of the strategic direction set by senior management as it relates to team goals
• You will need to hold monthly meaningful conversations with team members to discuss performance, coaching and feedback, training needs, and career discussions
• You will need to monitor & drive team performance, including throughput and quality as per defined metrics
• Your primary upward interaction is with a direct supervisor or team leads
• You will generally interact with peers and/or management levels with clients or internal stakeholders
• You will be provided with minimal guidance when determining methods and procedures on new assignments
• Decisions that you make often impact the team in which they reside and occasionally impact other teams
• You would be managing medium-small sized teams and/or work efforts at a client or within Accenture.

Please note this role may require you to work in rotational shifts.