Data Science
Machine Learning (ML)- 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
- Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
- Strong problem solving skills and the ability to articulate really well.
- Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
- Strong working knowledge of python ML stack is very important here.
- Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
- Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.
Structured ML techniques for candidates:
- GBM
- XgBoost
- Random Forest
- Neural Net
- Logistic Regression
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonExperience: 3+ years of experience in designing and developing AI solutions.
Qualification: Bachelor s degree in Computer Science, Data Science, or a related field (e.g., Mathematics, Engineering)
Location: Should be based out of Surat or ready to relocate to Surat
Position Overview
We are seeking a highly skilled and experienced Senior AI/ML Developer to lead the development and integration of advanced AI solutions within our product ecosystem. This role involves close collaboration with cross-functional teams including product managers, data scientists, and engineers to build AI models that solve real-world integration challenges. The ideal candidate will have a strong foundation in machine learning, deep learning, and software development, along with hands-on experience deploying AI models in production environments.
What You’ll Be Doing
ü Collaborating with product managers, engineers and data scientists to align AI solutions with product functionalities.
ü Designing and developing AI models for challenges like document data extraction, data transformation, pattern recognition and data mapping
ü Applying machine learning algorithms and deep learning architectures and transformer models to build scalable AI models.
ü Working with data engineers to prepare, clean, and transform data for AI applications.
ü Training, evaluating, optimizing and fine-tuning AI models to ensure high performance and accuracy.
ü Monitoring deployed AI functionalities, troubleshooting issues, and driving continuous improvement.
ü Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs.
ü Keeping abreast of the latest AI research, trends, and innovations relevant to integration technologies.
What You Bring to the Table
ü Bachelor’s degree in computer science, Data Science, Mathematics, Engineering, or a related field.
ü 3+ years of experience in designing and implementing AI/ML solutions.
ü Demonstrated ability to integrate AI models into production software.
ü Excellent analytical thinking, communication, and problem-solving abilities.
ü Ability to work autonomously as well as in a collaborative team setup.
Skills Required
ü Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models.
ü LLM and NLP Experience: Hands-o
ü n experience working with LLMs, RAG architecture, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems.
ü Experience with LLM fine-tuning, prompt engineering, vector databases (e.g., Pinecone, FAISS) is highly desirable.
ü Test Harness Automation for LLM Agents
ü Familiarity with agent frameworks (e.g., Semantic Kernel, AutoGen, Lang Chain, etc.).
ü Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc. containerization (Docker), and API frameworks (Flask, Fast API).
ü Integration Knowledge: API development, data transformation, system integration
ü Soft Skills: Communication, teamwork, adaptability, critical thinking
Job Summary:
We are looking for a dynamic and experienced Project Manager to lead and execute end-to-end waste management projects with a strong emphasis on Extended Producer Responsibility (EPR) compliance. The ideal candidate will have a robust understanding of waste management operations, regulatory frameworks, and project lifecycle management—from planning to execution and closure.
Key Responsibilities:
- Lead and manage full project lifecycle for waste management initiatives, from scoping and planning to execution, monitoring, and closure.
- Ensure all project activities align with EPR guidelines and sustainability goals.
- Collaborate with internal teams (compliance, operations, logistics) and external stakeholders (producers, recyclers, regulatory authorities).
- Prepare and manage project budgets, timelines, and resource allocations.
- Develop EPR compliance strategies and documentation including take-back schemes, recycling targets, and reporting.
- Monitor regulatory changes and ensure ongoing compliance with local and national EPR regulations.
- Conduct risk assessments, develop mitigation plans, and report project progress to leadership.
- Implement KPIs to measure environmental impact and project efficiency.
Requirements:
- MBA is mandatory (Operations, Sustainability, or Project Management preferred).
- 5–8 years of project management experience, preferably in waste management, sustainability, or environmental services.
- Proven experience managing EPR-related projects (plastic waste, e-waste, packaging, etc.).
- Strong understanding of waste processing workflows, recycling systems, and producer responsibilities.
- Proficient in project management tools (MS Project, Trello, Asana, or similar).
- Excellent leadership, communication, and stakeholder management skills.
- Ability to manage multiple projects simultaneously in a fast-paced, compliance-driven environment.
CA+GST compliance is mandatory
About Us: At Jenya, we specialize in creating captivating content that connects with audiences on a global scale. Our team is dedicated to pushing creative boundaries and delivering exceptional results. We’re looking for a skilled Video Editor with a focus on YouTube videos and Shorts to join our vibrant team.
Position Overview: We are seeking a talented Video Editor with a strong background in editing YouTube videos and Shorts. In this role, you will be responsible for crafting engaging, high-quality video content that stands out on YouTube and other platforms. Your expertise will help us deliver visually compelling stories that resonate with viewers and drive channel growth.
Key Responsibilities:
- Edit and produce engaging YouTube videos and Shorts from raw footage.
- Develop video content that aligns with our brand’s voice and goals.
- Collaborate with content creators, producers, and other team members to ensure video content meets project specifications.
- Optimize videos for YouTube, including titles, descriptions, and metadata to maximize visibility and engagement.
- Apply effective video pacing, transitions, and effects to create a polished final product.
- Maintain organized video files and adhere to project deadlines.
Requirements:
- Proven experience as a Video Editor with a strong portfolio showcasing your work on YouTube videos and Shorts.
- Proficiency in video editing software (e.g., Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve, Canva etc).
- In-depth understanding of YouTube’s platform, including trends, algorithm, and best practices for Shorts.
- Ability to create engaging video content tailored for different audiences and platforms.
- Strong attention to detail, creativity, and problem-solving skills.
- Excellent communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications:
- Bachelor’s degree in Film Production, Media, or a related field.
- Experience with motion graphics, animations, and visual effects.
- Familiarity with SEO best practices and video analytics.
What We Offer:
- Competitive salary and comprehensive benefits package.
- A collaborative and creative work environment.
- Opportunities for professional growth and development.
- Alternate Saturday off
How to Apply: If you are a dedicated Video Editor with a passion for fostering a positive workplace culture and have at least 1+ year of relevant experience, we invite you to apply for this exciting opportunity.
Join our team and contribute to our continued success as a Video Editor dedicated to the growth!
Education:
- Bachelor's (Preferred)
HTML/CSS
Javascript
Bootstrap-
Demonstrating portfolio of work that reflects the breadth & depth of skills in Interaction/User Experience Design.
-
Managing deliverables such as rapid prototyping, concept diagrams, user scenarios, wireframes, flows, experience maps, design patterns and annotated comps.
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Being in an entrepreneurial culture and excited about the challenge of building a design capability in a growing organization.
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Collaborating with cross-functional peers (Product Managers, Business, Engineers) to understand user problems and business challenges and devising focused and elegantly designed solutions
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Driving new understanding of problems to be solves for project scoping and collaboration on the overall product roadmap
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Creating clean, modern, high converting, and intuitive user interfaces from wireframes to prototypes
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Communicating design decisions and the why behind them to the PMs, software engineers, and QA engineers.
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Influencing across Design, from problem definition to asset delivery
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6-8 years of experience as a design practitioner in the consumer internet industry dedicated to the complete UI/UX design and development lifecycle of several successful web and mobile applications.
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Working knowledge of the capabilities and constraints of web front-end technologies including HTML5, CSS, JavaScript, Bootstrap as well as iOS components, HIG and Material Design
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May have started their career in research & strategy or in interaction/information design but graduated to leading projects end-to-end for the last 1-2 years at least.
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Exposure and experience working with start-ups will be a plus.
● Design and deliver scalable web services, APIs, and backend data modules.
Understand requirements and develop reusable code using design patterns &
component architecture and write unit test cases.
● Collaborate with product management and engineering teams to elicit &
understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas, and methodologies; share
knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
● 3-6 years of strong experience in developing highly scalable backend and
middle tier. BS/MS in Computer Science or equivalent from premier institutes
Strong in problem-solving, data structures, and algorithm design. Strong
experience in system architecture, Web services development, highly scalable
distributed applications.
● Good in large data systems such as Hadoop, Map Reduce, NoSQL Cassandra, etc.. Fluency in Java, Spring, Hibernate, J2EE, REST Services Ability to deliver code
quickly from given scenarios in a fast-paced start-up environment.
● Attention to detail. Strong communication and collaboration skills.
Job responsibilities
- You will partner with teammates to create complex data processing pipelines in order to solve our clients' most complex challenges
- You will collaborate with Data Scientists in order to design scalable implementations of their models
- You will pair to write clean and iterative code based on TDD
- Leverage various continuous delivery practices to deploy, support and operate data pipelines
- Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
- Create data models and speak to the tradeoffs of different modeling approaches
- Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
- Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes
- You have a good understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop
- You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
- Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
- You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
- Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems
- You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments
- Professional skills
- You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
- An interest in coaching, sharing your experience and knowledge with teammates
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
• Responsible for designing, deploying, and maintaining analytics environment that processes data at scale
• Contribute design, configuration, deployment, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, enrichment, and loading of data into a variety of cloud data platforms, including AWS and Microsoft Azure
• Identify gaps and improve the existing platform to improve quality, robustness, maintainability, and speed
• Evaluate new and upcoming big data solutions and make recommendations for adoption to extend our platform to meet advanced analytics use cases, such as predictive modeling and recommendation engines
• Data Modelling , Data Warehousing on Cloud Scale using Cloud native solutions.
• Perform development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions
COMPETENCIES
• Experience building, maintaining, and improving Data Models / Processing Pipeline / routing in large scale environments
• Fluency in common query languages, API development, data transformation, and integration of data streams
• Strong experience with large dataset platforms such as (e.g. Amazon EMR, Amazon Redshift, AWS Lambda & Fargate, Amazon Athena, Azure SQL Database, Azure Database for PostgreSQL, Azure Cosmos DB , Data Bricks)
• Fluency in multiple programming languages, such as Python, Shell Scripting, SQL, Java, or similar languages and tools appropriate for large scale data processing.
• Experience with acquiring data from varied sources such as: API, data queues, flat-file, remote databases
• Understanding of traditional Data Warehouse components (e.g. ETL, Business Intelligence Tools)
• Creativity to go beyond current tools to deliver the best solution to the problem
Python
Ruby
Ruby on Rails (ROR)About the Company:
It is a Data as a Service company that helps businesses harness the power of data. Our technology fuels some of the most interesting big data projects of the word. We are a small bunch of people working towards shaping the imminent data-driven future by solving some of its fundamental and toughest challenges.
Role: We are looking for an experienced team lead to drive data acquisition projects end to end. In this role, you will be working in the web scraping team with data engineers, helping them solve complex web problems and mentor them along the way. You’ll be adept at delivering large-scale web crawling projects, breaking down barriers for your team and planning at a higher level, and getting into the detail to make things happen when needed.
Responsibilities
- Interface with clients and sales team to translate functional requirements into technical requirements
- Plan and estimate tasks with your team, in collaboration with the delivery managers
- Engineer complex data acquisition projects
- Guide and mentor your team of engineers
- Anticipate issues that might arise and proactively consider those into design
- Perform code reviews and suggest design changes
Prerequisites
- Between 2-3 years of relevant experience
- Fluent programming skills and well-versed with scripting languages like Python or Ruby
- Solid foundation in data structures and algorithms
- Excellent tech troubleshooting skills
- Good understanding of web data landscape
- Prior exposure to DOM, XPATH and hands on experience with selenium/automated testing is a plus
HTML/CSSJavascriptWork Nature:
1. Understanding Business Requirements and converting those requirement in to Web Pages using HTML, CSS, JS and Photoshop/Illustrator.
2. Should have minimum 5 Web Page Designed/Shipped/Live
3. Can mentor/lead junior webpage designers regarding best practices
Desired Traits
1. Coachable, Flexible, and Embracing of Suitable Practices and Feedback as a means of
continuous improvement.
2. Ability to take initiative and work independently as well as in a team environment.
3. Able to demonstrate Integrity, Drive, and Natural Curiosity.
4. Experience in a good web agency is a plus.
Java
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Full Stack Developer - Averlon