Python
Amazon Web Services (AWS)
Machine Learning (ML)Need Excellent Communication skills as the company is dealing with US Clients also
• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.
• Proven experience in conducting A/B testing and beta testing for AI systems.
• Hands-on experience with CrewAI and LangChain tools.
• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.
• Should have practical experience with LLM application deployment.
• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.
• Proficiency with cloud platforms (AWS, Azure, GCP)
Shubham Vishwakarma
Full Stack Developer - Averlon
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What Database Architects do at SCA ?
The Data Architect will have an end-to-end vision of all SCA's solutions for Supply Chain cost analysis and optimization products, and to see how a logical design will translate into one or more physical Databases, and how the Data will flow through the successive Stages involved.
The Data Architect will need to be able to address issues of Data Migration(Validation, Clean-up and Mapping), and will need to understand the importance of Data Dictionaries.
• Develop and document database architectures. Create and enforce database development standards.
• Develop data models for applications, metadata tables, views or related database structures.
• Develop load-balancing processes to eliminate down time for backup processes.
• Develop or maintain archived procedures, procedural codes, or queries for applications.
• Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
• Develops and delivers long-term strategic goals for data architecture vision and standards by collaborating with Solution architects, Software architects, design analysts, and others.
• Demonstrate database technical functionality, such as performance, security and reliability.
• Design data transfer mechanisms like ETL and improve data cleansing, data quality issues as they arise
• Establishes methods and procedures for tracking data quality, completeness, redundancy, and improvement
• Define technical dependencies and dependency management strategy, and align solutions with enterprise architecture strategy
• Defining functional design and technical design for data management and integration
• Creates short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
• Selects and implements the appropriate tools, software, applications, and systems to support data technology goals
• Provides coaching and mentoring to all members of the department
What skills do we expect from Database Architect at SCA :
• Minimum of 5-8 years in Database design and development.
• Demonstrated ability to design and develop complex database load and maintenance processes
• 4+ years Hands-on experience designing RDBMS databases for web applications
• 2+ years of experience with star schema and dimensional data modeling.
Java
Spring BootPreferred Skills:
- Good communication skills in English (Written and Oral)
- Strong knowledge of RDBMS concepts
- Strong analytical and problem-solving skills
- Experience in performance tuning
- Experience in interaction with the customer
- Mandatory technical skills Java, Spring boot , Microservices , Hibernate
- Preferred Tools (SVN, GIT, Maven, Jenkins Jira Confluence)
- Ability to explore the application by himself/herself from the training provided.
Responsibilities:
- New feature development or enhancement or change request activities (Requirement analysis, Requirement documentation, Design, Coding, Review, Testing and Release process)
- Defect Fixing (Defect analysis, route cause identification, Code change, testing, obtaining user confirmation and release process)
- Support tasks (Ticket analysis, data uploading, performance tuning, job monitoring, any analysis task, ReportGeneration and etc.,)
- Level 2 and Level 3 support (Support process adherence)
- Functional and technical or solution documentation preparation
- Execution will either be Waterfall or Agile
- The process needs to be followed as defined by RBEI or RBEI’s Customer
- Preparation & participation in the project status and review meeting
Responsibilities:
.Approaching potential leads and closing them within a stipulated time frame.
.Create exclusive distributors, exclusive super stockists and business associates for the company towards business growth.
.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.
.Finding and developing new markets and improving sales.
.Keep abreast with stock reports, inventory, product orders, re-order etc.
.Training personnel and helping team members in developing their skills.
Requirements:
.Bachelor's degree in business, marketing or a related field.
.Experience in sales, marketing or related field.
.Strong communication skills.
.Excellent organizational skills.
.Proficient in Word, Excel, Outlook, and PowerPoint.
Looking for a freelancer interested in writing about creator economy and influencer marketing.
Experience: fresher to 2 years.
Great spoken and written english. Knows how to research.
Understands the basics of SEO writing. Has a flair for writing articles focused on brands and creators.
- Accurate Database Management, daily updating, and weekly reporting.
- Extracting correct contact details of brand owners from target segments.
- Generating more leads through growth hacking solutions.
2. Business Development:
- Vetting the leads and focusing efforts on the biggest opportunities.
- Growing, Calling, Mailing & Converting inbound leads.
- Negotiating win-win deals - Maintain relationships with clients and fulfil their needs effectively.
- Create proposals, agreements, portfolio as per requirement and update monthly.
- Setting, attending, and presenting at meetings.
- On-Boarding clients and communicating the client briefs to the internal team (Focus sheet).
3. Internal Relations (Optional):
- Understanding the various issues in an organisation (Process, Relations) and resolving them.
- Analysing gaps and developing policies with the core team.
- Performance monitoring or preparing performance reports.
- Production Co-ordination.
iOS App DevelopmentOur client is a pet-care focused digital aggregator across various categories such as food, accessories, toys and grooming essentials. Their focus segment is the rapidly increasing community of pet parents. They offer expert-led online pet care consultation, training and healthcare services and products for dogs and cats, covering the lifecycle of a pet acting as a one stop shop. It is headquartered in Bangalore and was co-founded by startup veterans of whom 2 are IIM-Lucknow alumni and one is a Chartered Accountant. Our venture capital-backed client is funded by tier 1 investors and has raised approx. $3.5 mn in funding.
As a Product Manager, you will be responsible for constantly looking to improve the product by analyzing and benchmarking.
What you will do:
- Understanding user behavior and demonstrating the same
- Analyzing data, postulating theories, conducting experiments, measuring performance and reiterating
- Quantifying & communicating the “gap” as well as the gains to relevant stakeholders
- Carrying a vision for the launch and a drive to nurture the product henceforth
Desired Candidate Profile
What you need to have:- Graduation from a Tier 1 college(IIT, NIT, BIT)
- 3 years of experience in the development of user-facing products
- Minimum 2 years of experience working as a Product Manager
- Good experience working with a start-up company
- High sense of ownership
Machine Learning (ML)
Deep LearningJob Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
Set the monthly, weekly, daily targets for the team and ensure that the targets are achieved
Maintain the sales report of the team
Needs to own hiring, firing and deliverables of at least 10 education counselors
Motivating & mentoring team to achieve & exceed targets
Design & develop business models
Conducting weekly reviews for performance & training
Identifying the areas of improvements & KPI’s
Involved in a lot of calling on phone for negotiation and objection handling
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Full Stack Developer - Averlon