11+ Econometrics Jobs in Chennai | Econometrics Job openings in Chennai

Job Description

Data scientist with a strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialisation in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution.A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes.

A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models.

Responsibilities and skills:

• Work with our customers to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organisation.
• Selecting features, building and optimising classifiers using ML techniques.
• Data mining using state-of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques.
• Should be able to appreciate and work on:

Computer Vision problems – for example extract rich information from images to categorise and process visual data— Develop machine learning algorithms for object and image classification, Experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects.

OR

Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc.

OR

Experience of having worked in these areas : speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing.

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Needs to appreciate deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow.
• Experience in working with GPUs to develop models, handling terabyte size datasets.
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit-learn, caret etc - excellence in at least one of these is highly desirable.
• Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc.
• Experience with NoSQL databases and familiarity with data visualisation tools will be of great advantage.

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

We are looking for passionate, talented and super-smart engineers to join our product development team. If you are someone who innovates, loves solving hard problems, and enjoys end-to-end product development, then this job is for you! You will be working with some of the best developers in the industry in a self-organising, agile environment where talent is valued over job title or years of experience.

Responsibilities:

• You will be involved in end-to-end development of VIMANA technology, adhering to our development practices and expected quality standards.
• You will be part of a highly collaborative Agile team which passionately follows SAFe Agile practices, including pair-programming, PR reviews, TDD, and Continuous Integration/Delivery (CI/CD).
• You will be working with cutting-edge technologies and tools for stream processing using Java, NodeJS and Python, using frameworks like Spring, RxJS etc.
• You will be leveraging big data technologies like Kafka, Elasticsearch and Spark, processing more than 10 Billion events per day to build a maintainable system at scale.
• You will be building Domain Driven APIs as part of a micro-service architecture.
• You will be part of a DevOps culture where you will get to work with production systems, including operations, deployment, and maintenance.
• You will have an opportunity to continuously grow and build your capabilities, learning new technologies, languages, and platforms.

Requirements:

• Undergraduate degree in Computer Science or a related field, or equivalent practical experience.
• 2 to 5 years of product development experience.
• Experience building applications using Java, NodeJS, or Python.
• Deep knowledge in Object-Oriented Design Principles, Data Structures, Dependency Management, and Algorithms.
• Working knowledge of message queuing, stream processing, and highly scalable Big Data technologies.

• Experience in working with Agile software methodologies (XP, Scrum, Kanban), TDD and Continuous Integration (CI/CD).
• Experience using no-SQL databases like MongoDB or Elasticsearch.
• Prior experience with container orchestrators like Kubernetes is a plus.

• We recognize that our dedicated team members make us successful and we offer competitive salaries.
• We are a workplace that values work-life balance, provides flexible working hours, and full time remote work options.
• You will be part of a team that is highly motivated to learn and work on cutting edge technologies, tools, and development practices.
• Bon Appetit! Enjoy catered breakfasts, lunches and free snacks!

Hi All,

We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.


Strong Knowledge of SCCM, App V, and Intune infrastructure.

Powershell/VBScript/Python,

Windows Installer

Knowledge of Windows 10 registry

Application Repackaging

Application Sequencing with App-v

Deploying and troubleshooting applications, packages, and Task Sequences.

Security patch deployment and remediation

Windows operating system patching and defender updates

Thanks,
Mohan.G