Senior Software Engineer - Data

RESPONSIBILITIES:

 Requirement understanding and elicitation, analyze, data/workflows, contribute to product

project and Proof of concept (POC)

 Contribute to prepare design documents and effort estimations.

 Develop AI/ML Models using best in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and clearly documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

REQUIREMENTS:

Required Skills

 Overall experience of 4 to 7 Years working on AI/ML framework development

 Good programming knowledge in Python is must.

 Good Knowledge of R and SAS is desired.

 Good hands on and working knowledge SQL, Data Model, CRISP-DM.

 Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.

 Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,

Random Forest, Support Vector Machines and Natural Language Processing.

 Experience with NLP and deep neural networks using synthetic and artificial data.

 Involved in different phases of SDLC and have good working exposure on different SLDC’s like

Agile Methodologies.

Job Responsibilities:

1. Develop/debug applications using Python.

2. Improve code quality and code coverage for existing or new program.

3. Deploy and Integrate the Machine Learning models.

4. Test and validate the deployments.

5. ML Ops function.

Technical Skills

1. Graduate in Engineering or Technology with strong academic credentials

2. 4 to 8 years of experience as a Python developer.

3. Excellent understanding of SDLC processes

4. Strong knowledge of Unit testing, code quality improvement

5. Cloud based deployment and integration of applications/micro services.

6. Experience with NoSQL databases, such as MongoDB, Cassandra

7. Strong applied statistics skills

8. Knowledge of creating CI/CD pipelines and touchless deployment.

9. Knowledge about API, Data Engineering techniques.

10. AWS

11. Knowledge of Machine Learning and Large Language Model.

Nice to Have

1. Exposure to financial research domain

2. Experience with JIRA, Confluence

3. Understanding of scrum and Agile methodologies

4. Experience with data visualization tools, such as Grafana, GGplot, etc

The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )

About

Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.

The Engineering Challenge

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.

Purpose of Role :

- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.

CANDIDATE PROFILE :

- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.

We are looking for someone who:

- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.

- Identify & deliver appropriate analytics solutions

- Experienced in Analytics team management

Essential Duties and Responsibilities :

- Responsible for delivering high quality analytical and value added services

- Responsible for automating insights and proactive actions on them to mitigate collection Risk.

- Work closely with the internal team members to deliver the solution

- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution

- Use analysis and customer insights to develop value propositions for customers

- Maintain and enhance the suite of suitable analytics products.

- Actively seek to share knowledge within the team

- Share findings with peers from other teams and management where required

- Actively contribute to setting best practice processes.

Knowledge, Experience and Qualifications :

Knowledge :

- Good understanding of collection analytics preferably in Retail lending industry.

- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends

- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.

- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.

- Understanding of decisioning and portfolio management in banking and financial services would be added advantage

- Understanding of credit bureau would be an added advantage

Experience :

- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.

- Experience on working on Collection analytics is must

- Experience on handling large data volumes using data analysis tools and generating good data insights

- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences

- Excellent communication, presentation and writing skills Strong interpersonal skills

- Motivated to meet and exceed stretch targets

- Ability to make the right judgments in the face of complexity and uncertainty

- Excellent relationship and networking skills across our different business and geographies

Qualifications :

- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college

• Cloud: GCP
• Must have: BigQuery, Python, Vertex AI
• Nice to have Services: Data Plex
• Exp level: 5-10 years.
• Preferred Industry (nice to have): Manufacturing – B2B sales

• 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
• Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
• Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
• Comfortable working with deep-learning libraries (eg. PyTorch)
• Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
• A Masters candidate in machine learning.
• Can source candidates from Mu Sigma and Manthan.

• 3-6 years of relevant work experience in a Data Engineering role.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• A good understanding of Airflow, Spark, NoSQL databases, Kafka is nice to have.
• Premium Institute Candidates only

ears of Exp: 3-6+ Years 
Skills: Scala, Python, Hive, Airflow, Spark

Languages: Java, Python, Shell Scripting

GCP: BigTable, DataProc,  BigQuery, GCS, Pubsub

OR
AWS: Athena, Glue, EMR, S3, Redshift

MongoDB, MySQL, Kafka

Platforms: Cloudera / Hortonworks
AdTech domain experience is a plus.
Job Type - Full Time 

Nactus is at forefront of education reinvention, helping educators and learner’s community at large through innovative solutions in digital era. We are looking for an experienced AI specialist to join our revolution using the deep learning, artificial intelligence.  This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference.

Role and Responsibilities

• Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy.
• Understand company and client challenges and how integrating AI capabilities can help create educational solutions.
• Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.

Skills Required

• Knowledge of algorithms, object-oriented and functional design principles
• Demonstrated artificial intelligence, machine learning, mathematical and statistical modelling knowledge and skills.
• Well-developed programming skills – specifically in SAS or SQL and other packages with statistical and machine learning application, e.g. R, Python
• Experience with machine learning fundamentals, parallel computing and distributed systems fundamentals, or data structure fundamentals
• Experience with C, C++, or Python programming
• Experience with debugging and building AI applications.
• Robustness and productivity analyse conclusions.
• Develop a human-machine speech interface.
• Verify, evaluate, and demonstrate implemented work.
• Proven experience with ML, deep learning, Tensorflow, Python