Digital Marketing Manager

Job Description

Position: ERP Implementation Consultant

Department: Implementation

Qualification: Bachelor's or Graduate's Degree in business, computer science, engineering, information technology, or a science-related field, or equivalent experience.

Experience: 2-5 Years

Location: West Bengal and Odisha Region (Candidate must be willing to travel PAN India, if required)

Key Skills: Good Communication Skills, ERP Implementation, User Training, ERP Support, Technical Support, Client Interaction

Roles & Responsibilities

• Manage projects with top-down oversight throughout the entire execution to ensure success, adhering to standards of scope, budget, and timeline.
• Develop comprehensive project plans that align client requirements with company goals, coordinating with various teams and technical personnel throughout all project phases, from initial development to final implementation.
• Take responsibility for the effectiveness and continuous improvement of the project team.
• Design new solutions and analyze them based on industry-specific requirements, focusing on sectors like Real Estate and Construction.
• Coordinate and influence the deployment communication plans, including the "Go Live" process.
• Foster strong client relationships and maintain consistent communication regarding project progress and updates.
• Willingness to travel PAN India to support project implementation and client needs, if required.

Key Skills

• Extensive experience in client-facing environments.
• Excellent teamwork and interpersonal communication skills, both oral and written.
• Ability to multitask and manage multiple projects simultaneously.
• Strong business knowledge of the Real Estate and Construction domain.
• Innovative approach to identifying client pain points and providing tailored solutions.
• End-to-end ERP implementation expertise.
• Knowledge in lead management and CRM specifically for the construction industry.
• Ability to lead discussions, document meeting notes, and circulate minutes to all stakeholders.
• Competence in preparing and presenting status reports to clients and management.

Employee Benefits

• Optional Leaves
• Health Insurance

What We’re Looking For

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role

Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment

Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.

Experience working with natural language processing (NLP) or computer vision is highly desirable.

Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.

Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.

Familiarity with data architecture, data engineering, and data pipeline tools.

Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.

Knowledge of the insurance sector is beneficial but not required.

Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.

What You’ll Be Doing

Algorithm Development:

Design and implement advanced machine learning algorithms tailored for our datasets.

Model Creation:

Build, train, and refine machine learning models for business integration.

Collaboration:

Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.

Industry Innovation:

Stay updated with Insurtech trends and ensure our solutions remain at the forefront.

Validation:

Test algorithms for accuracy and efficiency, collaborating with the QA team.

Documentation:

Maintain clear records of algorithms and models for team reference.

Professional Growth:

Engage in continuous learning and mentor junior team members.

We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.

Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree

Job Responsibilities:

• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team

• Have minimum 3 years of AWS Cloud experience.

• Well versed in languages such as Python, PySpark, SQL, NodeJS etc

• Has extensive experience in Spark ecosystem and has worked on both real time and batch processing

• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.

• Experience with modern Database systems such as Redshift, Presto, Hive etc.

• Worked on building data lakes in the past on S3 or Apache Hudi

• Solid understanding of Data Warehousing Concepts

• Good to have experience on tools such as Kafka or Kinesis

• Good to have AWS Developer Associate or Solutions Architect Associate Certification

• Have experience in managing a team

We are looking for an exceptional Software Developer for our Data Engineering India team who can-

contribute to building a world-class big data engineering stack that will be used to fuel us

Analytics and Machine Learning products. This person will be contributing to the architecture,

operation, and enhancement of:

Our petabyte-scale data platform with a key focus on finding solutions that can support

Analytics and Machine Learning product roadmap. Everyday terabytes of ingested data

need to be processed and made available for querying and insights extraction for

various use cases.

About the Organisation:

- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.

- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom, and India.

- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.

Job Description

Position:
Software Developer, Data Engineering team
Location: Pune(Initially 100% Remote due to Covid 19 for coming 1 year)

• Our bespoke Machine Learning pipelines. This will also provide opportunities to

contribute to the prototyping, building, and deployment of Machine Learning models.

You:

• Have at least 4+ years’ Experience.
• Deep technical understanding of Java or Golang.
• Production experience with Python is a big plus, extremely valuable supporting skill for

us.

• Exposure to modern Big Data tech: Cassandra/Scylla, Kafka, Ceph, the Hadoop Stack,

Spark, Flume, Hive, Druid etc… while at the same time understanding that certain

problems may require completely novel solutions.

• Exposure to one or more modern ML tech stacks: Spark ML-Lib, TensorFlow, Keras,

GCP ML Stack, AWS Sagemaker - is a plus.

• Experience includes working in Agile/Lean model
• Experience with supporting and troubleshooting large systems
• Exposure to configuration management tools such as Ansible or Salt
• Exposure to IAAS platforms such as AWS, GCP, Azure…
• Good addition - Experience working with large-scale data
• Good addition - Good to have experience architecting, developing, and operating data

warehouses, big data analytics platforms, and high velocity data pipelines

**** Not looking for a Big Data Developer / Hadoop Developer

We are an IIT Bombay incubated, healthcare start up developing a mobile based Ai technology to help reduce health risks for women during their pregnancy. Our Founders are Harvard and Columbia University alums with extensive experience in digital health in the US and India.

Mobile Development Engineer - React Native (Location: Mumbai)

Requirements:

2-4 years of experience on React Native. Good understanding of start up environment.

1.     Advanced knowledge of React Native.

2.     Excellent knowledge of React native libraries, Redux, HTML5, CSS3, JavaScript.

3.     Excellent knowledge on android and iOS UI design principles, patterns and best practices.

4.     Experience working with publishing on stores.

5.     Experience working with Rest APIs.

6.    Knowledge of integration and utilization of cloud services and payment systems.

7.    Should have played a key role in conceptualising to deployment of apps using React Native.

8    Project management, scheduling, allocation and delivery.

9.    Proven experience of agile development, sprint planning and backlog management.

10.   Keen focus on customer, excellent communication skills, with high level of responsiveness and responsibility.

Good to Have:

Full Stack experience.

Experience working on chat apps, community, and healthcare domain. 

Exposure or Interest in NLP, Machine Learning.