
1. Communicate with the clients and understand their business requirements.
2. Build, train, and manage your own team of junior data engineers.
3. Assemble large, complex data sets that meet the client’s business requirements.
4. Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including the cloud.
6. Assist clients with data-related technical issues and support their data infrastructure requirements.
7. Work with data scientists and analytics experts to strive for greater functionality.
Skills required: (experience with at least most of these)
1. Experience with Big Data tools-Hadoop, Spark, Apache Beam, Kafka etc.
2. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
3. Experience in ETL and Data Warehousing.
4. Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra etc.
5. Experience with cloud platforms like AWS, GCP and Azure.
6. Experience with workflow management using tools like Apache Airflow.

About Discite Analytics Private Limited
About
Discite Analytics & AI is a AI/ML and Data Engineering firm that specializes in creating custom solutions and products for companies of all sizes worldwide. Founded in 2020 by Kunal Singh, a former Uber executive, the company is committed to providing in-depth knowledge of their clients' business and operations to create the best solutions for SMEs.
At Discite Analytics & AI, we invest time interacting with end-users within our clients' companies, not just CXOs, to understand their data requirements fully. We offer a wide range of services, including conducting market research, setting up data pipelines, creating live dashboards, and building machine learning/artificial intelligence solutions to ensure our clients stay ahead of their competition with data-driven decision-making.
Connect with the team
Similar jobs
Job Details
- Job Title: ML Engineer II - Aws, Aws Cloud
- Industry: Technology
- Domain - Information technology (IT)
- Experience Required: 6-12 years
- Employment Type: Full Time
- Job Location: Pune
- CTC Range: Best in Industry
Job Description:
Core Responsibilities:
? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
? System Integration: Integrate models into existing systems and workflows.
? Model Deployment: Deploy models to production environments and monitor performance.
? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
? Continuous Improvement: Identify areas for improvement in model performance and systems.
Skills:
? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
? Knowledge of model monitoring and performance evaluation.
Required experience:
? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in
ML workflows
? AWS data: Redshift, Glue
? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)
Skills: Aws, Aws Cloud, Amazon Redshift, Eks
Must-Haves
Aws, Aws Cloud, Amazon Redshift, Eks
NP: Immediate – 30 Days
Job Title : Senior Backend Engineer – Java, AI & Automation
Experience : 4+ Years
Location : Any Cognizant location (India)
Work Mode : Hybrid
Interview Rounds :
- Virtual
- Face-to-Face (In-person)
Job Description :
Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.
You'll work on scalable backend systems powering millions of daily transactions across Intuit products.
Key Qualifications :
- 4+ years of backend development experience.
- Strong in Java, Spring framework.
- Experience with microservices, databases, and web applications.
- Proficient in AWS and cloud-based systems.
- Exposure to AI and automation tools (Workato preferred).
- Python development experience.
- Strong communication skills.
- Comfortable with occasional US shift overlap.
React Native Intern – ReelOnGo
Company: ReelOnGo
Location: Remote / Hyderabad (Hybrid if required)
Duration: 3–6 Months
Stipend: As per skills & performance
Start Date: Immediate
ABOUT REELONGO
ReelOnGo is a consumer-tech startup building technology to instantly shoot, edit, and
deliver event content at scale.
We work on real-world, time-critical systems used by creators and internal teams.
You will be working on a production-grade React Native app.
RESPONSIBILITIES
• Improve mobile UI/UX and overall app experience
• Optimize performance, animations, and transitions
• Work on an existing React Native codebase
• Implement content & hold notifications (push + in-app)
• Build maps and location-based features
• Integrate native modules (Android & iOS)
• Handle API integrations and async flows
• Assist in CI/CD pipelines for mobile builds
REQUIRED SKILLS (MUST HAVE)
• Strong experience with React Native
• Good understanding of mobile UI/UX principles
• Experience with content & hold notifications
• Experience with maps & location integrations
• Knowledge of native module integration
• Performance optimization experience
• Familiarity with CI/CD for mobile apps
• Comfortable with Git & version control
• Must own a Mac (mandatory for iOS builds)
GOOD TO HAVE
• Firebase / push notification services
• React Navigation
• State management (Redux / Context / Zustand)
• Startup or production app experience
WHAT YOU GET
• Hands-on work on a live consumer-tech product
• Exposure to real production systems
• Internship certificate
• PPO opportunity based on performance
Job Role: Business Development Executive
- Exp: 1+ yr exp is preferable
- Salary: Upto 3LPA
- Timings: Monday to Friday Day shift sat sun fixed off
- Age below 30
About the Role:
➢ Achieving month's Sales Targets of enrolling students for BFSI courses.
➢ Mobilization of youth and graduates to ensure minimum expected enrolments in the programs.
➢ Conduct community mapping and profiling exercise to identify key stakeholders and NGOs to partner with us.
➢ Organize events/Sessions/workshop for communities with parents, underprivileged graduates, NGOs and other stakeholders to build awareness in the
community.
➢ Conduct follow-ups on call with children, parents, NGOs and other stakeholders.
➢ Maintain the data of mobilization, planning, stakeholder forms, MOUs, Minutes of meetings, Individual meet forms, Photographs of Events, Community Events reports, NGO Profile forms.
We are seeking an experienced Senior Backend Engineer to join our passionate team. If you have a strong background in backend development, a track record of delivering scalable and reliable solutions, and are eager to contribute to complex projects, we would love to hear from you.
Responsibilities:
- Design and develop robust, high-performance backend solutions using Python and related technologies.
- Lead the architecture and design discussions for major backend components and services.
- Collaborate closely with cross-functional teams to gather and analyze software requirements.
- Mentor and guide junior and mid-level engineers, fostering their technical growth.
- Review code and provide constructive feedback to ensure code quality and adherence to best practices.
- Identify and address performance bottlenecks, scalability challenges, and technical issues.
- Participate in sprint planning, task estimation, and agile development processes.
- Keep up-to-date with industry trends, tools, and best practices to continuously improve our backend systems.
- Drive the adoption of coding standards, design patterns, and engineering best practices.
- Collaborate with frontend engineers to ensure seamless integration between frontend and backend components.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Minimum of 4 years of professional experience in backend development.
- Strong proficiency in Python and backend frameworks like Django and Flask.
- In-depth knowledge of database systems, both relational (MySQL) and NoSQL (MongoDB, etc. ).
- Proven track record of designing and developing scalable and maintainable backend services.
- Experience with RESTful API design and best practices.
- Solid understanding of software architecture, design principles, and software development lifecycle.
- Previous experience leading or mentoring engineers is a strong plus.
- Strong problem-solving skills and a proactive attitude towards challenges.
- Excellent communication skills, both verbal and written.
- Familiarity with cloud platforms (e. g., AWS, Azure, GCP) and containerization (Docker) is a plus.
Who are we looking for?
- Someone who is annoyed by the build time it takes for an application to build and has done something to optimize it
- Has good experience in building Android applications
- Experience with the flutter ecosystem is a great plus.
- Who likes to think in terms of software and data architecture before opening an Android studio. Comfortable with managing
- the development and deployment of applications.
- Open and more importantly excited about learning the new technologies.
Roles and responsibilities
- Participate and contribute to the design and development of the core
components of the service.
Selected intern's day-to-day responsibilities include:
1. Contacting potential & existing clients to establish rapport and arrange meetings
2. Conducting research on organizations to find new opportunities
3. Working on increasing the value of current customers while attracting new ones
4. Finding and developing new markets and improving sales
5. Helping the team with various marketing initiatives
6. Assisting the team in developing quotes and proposals for clients
7. Coordinating with the development team to resolve customer issues, give demonstrations, and upsell & cross-sell
1. Convert leads to business with lead generation, customer interaction, and persuasive skills.
2. Communicate with various target groups, understanding their needs, maintaining relationships
3. Set up and conduct business collaboration meetings with companies and our suppliers.
4. Identify new avenues of growth, suggesting and building campaigns which can benefit the overall performance of the sales department.
5. Identify sales leads, pitch services to new clients, and maintain a good working relationship with them.
6. Work with the internal product and management teams to increase sales opportunities for the organization.
7. Onboard new clients on our application.
Job Description:
Strong on C++, Linux Background
Strong on Algorithms
Hands on experience on Data Structure & Multithreading
Job Title: Chief Engineer: Deep Learning Compiler Expert
You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.
In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.
Necessary Skills / Attributes:
- 6 to 15 years of experience in the field of compiler design and graph mapping.
- 2+ years hands-on experience with MLIR and/or LLVM.
- Experience with multiple toolchains, compilers, and Instruction Set Architectures.
- Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
- Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
- Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
- Familiarity with parallelization techniques for ML acceleration.
- Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
- Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
- Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
- Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
- Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
- Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
- Experience with Hardware and Software Co-design.
M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.
Work Profile:
- Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
- Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
- Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
- Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
- Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
- Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
- Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
- Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
- Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
- Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
- Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Keywords to source candidates
Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler









