11+ MLS Jobs in India

• Building out and manage a young data science vertical within the organization

• Provide technical leadership in the areas of machine learning, analytics, and data sciences

• Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.

• Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.

• Develop heuristics, algorithms, and models to deanonymize entities on public blockchains

• Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.

• Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.

• Develop in-house algorithms to generate risk scores for blockchain transactions.

• Work with data engineers to implement the results of your work.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Build, scale and deploy holistic data science products after successful prototyping.

• Clearly articulate and present recommendations to business partners, and influence future plans based on insights.

• >8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus

• Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground 

• Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)

• Excellent communication skills and analytical skills

• Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you

• An excellent culture, we encourage collaboration, growth, and learning amongst the team

• Competitive salary and equity

• An autonomous and flexible role where you will be trusted with key tasks.

• An opportunity to have a real impact and be part of a company with purpose.

Experience: 1- 5 Years

Job Location: WFH

No. of Position: Multiple

Qualifications: Ph.D. Must have

Work Timings: 1:30 PM IST to 10:30 PM IST

Functional Area: Data Science

NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems.

Job Responsibilities:

• Leverage AI/ML modeling and algorithms to deliver on use cases
• Build modeling solutions at speed and scale to solve business problems
• Develop data science solutions that can be tested and deployed in Agile delivery model
• Implement and scale-up high-availability models and algorithms for various business and corporate functions
• Investigate and create experimental prototypes that work on specific domains and verticals
• Analyze large, complex data sets to reveal underlying patterns, and trends
• Support and enhance existing models to ensure better performance
• Set up and conduct large-scale experiments to test hypotheses and delivery of models

Skills, Knowledge, Experience:

• Must have Ph.D. in an analytical or technical field (e.g. applied mathematics, computer science)
• Strong knowledge of statistical and machine learning methods
• Hands on experience on building models at speed and scale
• Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results
• Strong skills in oral and written communication
• Ability to lead a high-functioning team and develop and train people
• Must have programming experience in SQL, Python and R
• Experience conceiving, implementing and continually improving machine learning projects
• Strong familiarity with higher level trends in artificial intelligence and open-source platforms
• Experience working with AWS, Azure, or similar cloud platform
• Familiarity with visualization techniques and software
• Healthcare experience is a plus
• Experience in Kafka, Chatbot and blockchain is a plus.

Design, implement, and improve the analytics platform

Implement and simplify self-service data query and analysis capabilities of the BI platform

Develop and improve the current BI architecture, emphasizing data security, data quality

and timeliness, scalability, and extensibility

Deploy and use various big data technologies and run pilots to design low latency

data architectures at scale

Collaborate with business analysts, data scientists, product managers, software development engineers,

and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction,

forecasting, clustering, and machine learning algorithms

Educational

At Ganit we are building an elite team, ergo we are seeking candidates who possess the

following backgrounds:

7+ years relevant experience

Expert level skills writing and optimizing complex SQL

Knowledge of data warehousing concepts

Experience in data mining, profiling, and analysis

Experience with complex data modelling, ETL design, and using large databases

in a business environment

Proficiency with Linux command line and systems administration

Experience with languages like Python/Java/Scala

Experience with Big Data technologies such as Hive/Spark

Proven ability to develop unconventional solutions, sees opportunities to

innovate and leads the way

Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on

projects involving creation of data lake or data warehouse

Excellent verbal and written communication.

Proven interpersonal skills and ability to convey key insights from complex analyses in

summarized business terms. Ability to effectively communicate with multiple teams

Good to have

AWS/GCP/Azure Data Engineer Certification

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

Job Title: Senior Data Engineer

Experience: 8Yrs to 11Yrs

Location: Remote

Notice: Immediate or Max 1Month

Role: Permanent Role

Skill set: Google Cloud Platform, Big Query, Java, Python Programming Language, Airflow, Data flow, Apache Beam.

Experience required:

5 years of experience in software design and development with 4 years of experience in the data engineering field is preferred.

2 years of Hands-on experience in GCP cloud data implementation suites such as Big Query, Pub Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage, etc.

Strong experience and understanding of very large-scale data architecture, solutions, and operationalization of data warehouses, data lakes, and analytics platforms.

Mandatory 1 year of software development skills using Java or Python.

Extensive hands-on experience working with data using SQL and Python.

Must Have: GCP, Big Query, Airflow, Data flow, Python, Java.

GCP knowledge must

Java as programming language(preferred)

Big Query, Pub-Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage,

Python

Communication should be good.

Internshala is a dot com business with the heart of dot org.

We are a technology company on a mission to equip students with relevant skills & practical exposure through internships, fresher jobs, and online trainings. Imagine a world full of freedom and possibilities. A world where you can discover your passion and turn it into your career. A world where your practical skills matter more than your university degree. A world where you do not have to wait till 21 to taste your first work experience (and get a rude shock that it is nothing like you had imagined it to be). A world where you graduate fully assured, fully confident, and fully prepared to stake a claim on your place in the world.

At Internshala, we are making this dream a reality!

👩🏻‍💻 Your responsibilities would include-

• Designing, implementing, testing, deploying, and maintaining stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates
• Developing analytical tools and programs that can help in Analyzing and organizing raw data
• Evaluating business needs and objectives
• Conducting complex data analysis and report on results
• Collaborating with data scientists and architects on several projects
• Maintaining reliability of the system and being on-call for mission-critical systems
• Performing infrastructure cost analysis and optimization
• Generating architecture recommendations and the ability to implement them
• Designing, building, and maintaining data architecture and warehousing using AWS services.
• ETL optimization, designing, coding, and tuning big data processes using Apache Spark, R, Python, C#, and/or similar technologies.
• Disaster recovery planning and implementation when it comes to ETL and data-related services
• Define actionable KPIs and configure monitoring/alerting

🍒 You will get-

• A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
• Awesome colleagues & a great work environment
• Loads of autonomy and freedom in your work

💯 You fit the bill if-

• You have the zeal to build something from scratch
• You have experience in Data engineering and infrastructure work for analytical and machine learning processes.
• You have experience in a Linux environment and familiarity with writing shell scripts using Python or any other scripting language
• You have 3-5 years of experience as a Data Engineer or similar software engineering role

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members

• Collaborating with a team of like-minded and experienced engineers for Tier 1 customers, you will focus on data engineering on large complex data projects. Your work will have an impact on platforms that handle crores of customers and millions of transactions daily.

• As an engineer, you will use the latest cloud services to design and develop reusable core components and frameworks to modernise data integrations in a cloud first world and own those integrations end to end working closely with business units. You will design and build for efficiency, reliability, security and scalability. As a consultant, you will help drive a data engineering culture and advocate best practices.

Company Profile and Job Description  

About us:  

AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries.  

For more details visit: www.athenasowl.tv   

Responsibilities:   

• Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports
• Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership
• Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale

The ideal candidate should have:   

• Strong programming skills in any one or more programming languages like Python and C/C++
• Sound fundamentals of data structures, algorithms and object-oriented programming
• Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc.
• Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.)
• Ability to quickly learn and communicate the latest findings in AI research
• Creative thinking for leveraging machine learning to build end-to-end intelligent software systems
• A pleasantly forceful personality and charismatic communication style
• Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”