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Job Description:
We are seeking a highly motivated and talented Full Stack Intern to join our dynamic team. The ideal candidate will have a strong foundation in Python, data, cloud technologies, and Java, and a keen interest in learning and applying these skills to real-world projects.
Responsibilities:
- Collaborate with the development team to understand project requirements and design specifications.
- Develop and maintain web applications using Python frameworks (e.g., Django, Flask).
- Work with data to extract insights and build data-driven applications.
- Explore and utilize cloud platforms (e.g., AWS, GCP, Azure) for application deployment and scaling.
- Develop and test Java-based components as needed.
- Learn and adapt to new technologies and programming languages.
- Contribute to the overall success of the project by providing innovative ideas and solutions.
Qualifications:
- Pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong programming skills in Python and Java.
- Understanding of data structures, algorithms, and database systems.
- Exposure to cloud computing concepts and platforms (AWS, GCP, Azure preferred).
- Experience with front-end technologies (HTML, CSS, JavaScript) is a plus.
- Ability to learn quickly and adapt to new technologies.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib).
- Knowledge of SQL and NoSQL databases.
- Familiarity with Agile development methodologies.
- Contributions to open-source projects or personal projects.
- This internship offers a unique opportunity to gain hands-on experience in a fast-paced and dynamic environment. You will have the chance to work on challenging projects, learn from experienced professionals, and contribute to the growth of our company.
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About Us
Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solutions, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges and provide customers with a competitive edge
About The Role
As a Data Engineer, you’ll feel at home if you are hands-on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches. Your work will range from building a full data platform to building data pipelines or helping with data architecture and strategy. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands-on with technology. We aim to allow growth without becoming “post-technical”.
Responsibilities
- Collaborate with Data Scientists and Engineers to deliver production-quality AI and Machine Learning systems
- Build frameworks and supporting tooling for data ingestion from a complex variety of sources
- Consult with our clients on data strategy, modernising their data infrastructure, architecture and technology
- Model their data for increased visibility and performance
- You will be given ownership of your work, and are encouraged to propose alternatives and make a case for doing things differently; our clients trust us and we manage ourselves.
- You will work in short sprints to deliver working software
- You will be working with other data engineers in Sahaj and work on building Data Engineering capability across the organisation
You can read more about what we do and how we think here: https://sahaj.ai/client-stories/
Skills you’ll need
- Demonstrated experience as a Senior Data Engineer in complex enterprise environments
- Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala
- Demonstrated experience in the design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake
- Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical
- A nuanced understanding of code quality, maintainability and practices like Test Driven Development
- Ability to deliver an application end to end; having an opinion on how your code should be built, packaged and deployed using CI/CD
- Understanding of Cloud platforms, DevOps, GitOps, and Containers
What will you experience as a culture at Sahaj?
At Sahaj, people's collective stands for a shared purpose where everyone owns the dreams, ideas, ideologies, successes, and failures of the organisation - a synergy that is rooted in the ethos of honesty, respect, trust, and equitability. At Sahaj, you will experience
- Creativity
- Ownership
- Curiosity
- Craftsmanship
- A culture of trust, respect and transparency
- Opportunity to collaborate with some of the finest minds in the industry
- Work across multiple domains
What are the benefits of being at Sahaj?
- Unlimited leaves
- Life Insurance & Private Health insurance paid by Sahaj
- Stock options
- No hierarchy
- Open Salaries
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Role Summary
As a Data Engineer, you will be an integral part of our Data Engineering team supporting an event-driven server less data engineering pipeline on AWS cloud, responsible for assisting in the end-to-end analysis, development & maintenance of data pipelines and systems (DataOps). You will work closely with fellow data engineers & production support to ensure the availability and reliability of data for analytics and business intelligence purposes.
Requirements:
· Around 4 years of working experience in data warehousing / BI system.
· Strong hands-on experience with Snowflake AND strong programming skills in Python
· Strong hands-on SQL skills
· Knowledge with any of the cloud databases such as Snowflake,Redshift,Google BigQuery,RDS,etc.
· Knowledge on debt for cloud databases
· AWS Services such as SNS, SQS, ECS, Docker, Kinesis & Lambda functions
· Solid understanding of ETL processes, and data warehousing concepts
· Familiarity with version control systems (e.g., Git/bit bucket, etc.) and collaborative development practices in an agile framework
· Experience with scrum methodologies
· Infrastructure build tools such as CFT / Terraform is a plus.
· Knowledge on Denodo, data cataloguing tools & data quality mechanisms is a plus.
· Strong team player with good communication skills.
Overview Optisol Business Solutions
OptiSol was named on this year's Best Companies to Work for list by Great place to work. We are a team of about 500+ Agile employees with a development center in India and global offices in the US, UK (United Kingdom), Australia, Ireland, Sweden, and Dubai. 16+ years of joyful journey and we have built about 500+ digital solutions. We have 200+ happy and satisfied clients across 24 countries.
Benefits, working with Optisol
· Great Learning & Development program
· Flextime, Work-at-Home & Hybrid Options
· A knowledgeable, high-achieving, experienced & fun team.
· Spot Awards & Recognition.
· The chance to be a part of next success story.
· A competitive base salary.
More Than Just a Job, We Offer an Opportunity To Grow. Are you the one, who looks out to Build your Future & Build your Dream? We have the Job for you, to make your dream comes true.
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Requirements
Experience
- 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
- Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
- Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
- Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
- Experience with GPU computing to do data and model training parallelism.
- Solid software engineering skills in developing systems for production.
- Strong expertise in Python.
- Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
- Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
- Having Geospatial / Remote sensing experience is a plus.
Hi,
Enterprise Minds is looking for Data Architect for Pune Location.
Req Skills:
Python,Pyspark,Hadoop,Java,Scala
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Key Responsibilities : ( Data Developer Python, Spark)
Exp : 2 to 9 Yrs
Development of data platforms, integration frameworks, processes, and code.
Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages
Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.
Elaborate stories in a collaborative agile environment (SCRUM or Kanban)
Familiarity with cloud platforms like GCP, AWS or Azure.
Experience with large data volumes.
Familiarity with writing rest-based services.
Experience with distributed processing and systems
Experience with Hadoop / Spark toolsets
Experience with relational database management systems (RDBMS)
Experience with Data Flow development
Knowledge of Agile and associated development techniques including:
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CommerceIQ is Hiring Data Scientist (3-5 yrs)
At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.
Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.
What You’ll Be Doing
As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.
- Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
- Work on data science roadmap and build the core engine of our flagship CommerceIQ product
- Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept
- Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems
- Work with large scale ecommerce data of the biggest brands on amazon
- Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
- Drive productization of techniques to be made available to a wide range of customers
- You would be working with and mentoring fellow team members on the owned charter
What we are looking for -
- Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers
- Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
- Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
- Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
- Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
- Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact
- We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
- Data scientist, Machine Learning, data science, data analyst
Job Type: Full-time
Experience:
- Data Scientist: 3 years (Required)
Application Question:
- Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)
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SQL, Python, Numpy,Pandas,Knowledge of Hive and Data warehousing concept will be a plus point.
JD
- Strong analytical skills with the ability to collect, organise, analyse and interpret trends or patterns in complex data sets and provide reports & visualisations.
- Work with management to prioritise business KPIs and information needs Locate and define new process improvement opportunities.
- Technical expertise with data models, database design and development, data mining and segmentation techniques
- Proven success in a collaborative, team-oriented environment
- Working experience with geospatial data will be a plus.
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