Machine Learning

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.

Data Axle Pune is pleased to have achieved certification as a Great Place to Work!

Roles & Responsibilities:

We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

We are looking for a Senior Data Scientist who will be responsible for:

1. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
2. Design or enhance ML workflows for data ingestion, model design, model inference and scoring
3. Oversight on team project execution and delivery
4. Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
5. Visualize and publish model performance results and insights to internal and external audiences

Qualifications:

1. Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
2. Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
4. Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
5. Proficiency in Python and SQL required; PySpark/Spark experience a plus
6. Ability to conduct a productive peer review and proper code structure in Github
7. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
8. Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.

It is not intended to be a complete list of assigned duties but to describe a position level.

Requirement:

Position: Senior Python developer/c++

Location: Noida

Experience: 5 to 7 years

CTC: As per company standards

NP: Immediate to 15 days

Job Responsibilities

1.    Develop backend for applications in eCommerce / insurance/wealth management businesses

2.    Design technically sound systems and deliver results in a fast manner

3.    Building highly performant applications setting top standards in respective industries

 Basic qualifications

1.     5 -7 years experience building highly performant applications in Python / C++

2.      Good grasp of data structures and proficiency in problem-solving

3.      Knowledge of design patterns

Attaching the Job description for reference -

Role : Automation Tester

EXP : 5+ yrs

Mode : WFO

Location : Coimbatore

Role Description

As an Automation Cloud QA Engineer, you will be responsible for designing, implementing, and executing automated tests for cloud-based applications. You will work closely with the development and DevOps teams to ensure the quality and reliability of software releases in a cloud environment. The ideal candidate will have a strong background in test automation, cloud technologies, and a deep understanding of quality assurance best practices.

Automation QA Engineer Responsibilities:

Automated Testing:

· Design, develop, and maintain automated test scripts for cloud-based applications using industry-standard tools and frameworks.

· Implement end-to-end test automation to validate system functionality, performance, and scalability.

Cloud Testing:

· Perform testing on cloud platforms (e.g., AWS, Azure, Google Cloud) to ensure applications function seamlessly in a cloud environment.

· Collaborate with DevOps teams to ensure continuous integration and deployment pipelines are robust and reliable.

Test Strategy and Planning:

· Contribute to the development of test strategies, test plans, and test cases for cloud-based applications.

· Work with cross-functional teams to define and implement quality metrics and standards.

Defect Management:

· Identify, document, and track defects using established tools and processes.

· Collaborate with developers and product teams to ensure timely resolution of issues.

Performance Testing:

· Conduct performance testing to identify and address bottlenecks, ensuring optimal application performance in a cloud environment.

Collaboration

· Work closely with development teams to understand system architecture and functionality.

· Collaborate with cross-functional teams to promote a culture of quality throughout the development lifecycle.

Requirements And Skills:

· Bachelor's degree in Computer Science, Engineering, or a related field.

· Proven experience as a QA Engineer, with a focus on automation and cloud technologies.

· Strong programming skills in languages like Python, Java, or other scripting languages.

· Experience with cloud platforms such as AWS, Azure, or Google Cloud.

· Proficiency in using automation testing frameworks (e.g., Selenium, JUnit, TestNG), Selenium is preferred.

· Solid understanding of software development and testing methodologies.

· Excellent problem-solving and analytical skills.

· Strong communication and collaboration skills.

· Maintain documentation for test environment

Regards

Divya

Required Experience

· 3+ years of relevant technical experience as a data analyst role

· Intermediate / expert skills with SQL and basic statistics

· Experience in Advance SQL

· Python programming- Added advantage

· Strong problem solving and structuring skills

· Automation in connecting various sources to the data and representing it through various dashboards

· Excellent with Numbers and communicate data points through various reports/templates

· Ability to communicate effectively internally and outside Data Analytics team

· Proactively take up work responsibilities and take adhocs as and when needed

· Ability and desire to take ownership of and initiative for analysis; from requirements clarification to deliverable

· Strong technical communication skills; both written and verbal

· Ability to understand and articulate the "big picture" and simplify complex ideas

· Ability to identify and learn applicable new techniques independently as needed

· Must have worked with various Databases (Relational and Non-Relational) and ETL processes

· Must have experience in handling large volume and data and adhere to optimization and performance standards

· Should have the ability to analyse and provide relationship views of the data from different angles

· Must have excellent Communication skills (written and oral).

· Knowing Data Science is an added advantage

Required Skills

MYSQL, Advanced Excel, Tableau, Reporting and dashboards, MS office, VBA, Analytical skills

Preferred Experience

· Strong understanding of relational database MY SQL etc.

· Prior experience working remotely full-time

· Prior Experience working in Advance SQL

· Experience with one or more BI tools, such as Superset, Tableau etc.

· High level of logical and mathematical ability in Problem Solving

• Strong Systems Experience- Linux, networking, cloud, APIs
• Scripting language Programming - Shell, Python
• Strong Debugging Capability
• AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
• Knowledge on Terraform, Packer, Ansible, Jenkins
• Observability - Prometheus, InfluxDB, Dynatrace,
• Grafana, Splunk • DevSecOps-CI/CD - Jenkins
• Microservices
• Security & Access Management
• Container Orchestration a plus - Kubernetes, Docker etc.
• Big Data Platforms knowledge EMR, Databricks. Cloudera a plus

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

We are looking for an ML engineer (Neuroscience) and would like them to

• Build ML algorithms on MRI/ Medical data sets
• Design and build intelligent agents using continual learning and deep reinforcement learning techniques
• 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-tune using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Collaborate on technical proposals to grow and define artificial intelligence research for intelligent systems

Must have:

• Knowledge of MRI image processing and inferencing
• Hands-on machine learning expertise with an intensive knowledge of hyperparameter optimization, statistical assumption, and implications
• Experience in deep learning models
• Excellent Python programming skills for ML coding
• Understanding of ML integration with our software
• Good understanding of neuroscience/ clinical data

Bonus if you:

• Are enthusiastic about all things brain science and/or mental well-being
• We are a company that highly values the ability to communicate well. We all take turns at the blog roster, so writing experience and/or enthusiasm is appreciated
• Our core values encourage empathy and innovation, you are gold if you share these