Business Development Executive (BDE/BDM) at POST A RESUME HR CONSULTANCY · Ahmedabad · 2 - 5 years · ₹2.4L - ₹4.8L / yr · Profitable · Posted 17 Jun 2021
Urgent Requirement for Business Development Executive (BDE/BDM)
Location- Ahmedabad
Experience – 2 to 4 years
Salary- 2.4 to 4.8lakhs (depends on Expertise)
Gender- Female
Working Days-6
Qualification- B.Tech/MCA/M.Tech/Msc.IT
Currently work from home in this Pandemic Situation.
Job Summary:-
.Lead Generation
.Generate Business through Various Online Portals (Upwork, LinkedIn, Freelancer, PPH, Guru etc)
.Extensive Experience in Selling It Services - Web & Mobile App development services in International Market.
.Candidates must be well versed in #Prospecting via LinkedIn, Email Marketing
.Researching and Analyzing the market.
.Candidate would be responsible for Requirement Gathering +Cost Estimation
Shubham Vishwakarma
Full Stack Developer - Averlon
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with Champ Global Staffing
Location : Remote (6 Days working - Saturday Half Day)
Experience : Freshers to 1 years of experience candidates can apply
Salary : up to 10k
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We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team.
A brilliant opportunity to become a part of highly motivated and expert team which has made a mark as a high-end technical consulting.
Required Skills:
Experience - 3+.
Experience in Core Java 5.0 and above, CXF, Spring.
Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
Good development experience with RDBMS, preferably Sybase database.
Good knowledge of multi-threading and high-volume server-side development.
Experience in sales and trading platforms in investment banking/capital markets.
Basic working knowledge of Unix/Linux.
Excellent problem solving and coding skills in Java.
Strong interpersonal, communication and analytical skills.
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Data Science
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● B.Tech/Masters in Mathematics, Statistics, Computer Science or another quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,Predictive modeling, Clustering, Deep Learning stack, NLP.
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
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Profiles
Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior
Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research
Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements
Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation
Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology
Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness
Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams
Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role
Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)
Candidates from institutes with strong behavioral research exposure are preferred
Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms
Mandatory (Note 1):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights
Mandatory (Note)—Profiles without proper prospect question detail will not be considered for further evaluation. Recruiters must connect directly with the candidate before submission.
Designation: Sr. RCM Executive
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Key Responsibilities:
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Android Development
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- Strong in Java and OPPs (Object Oriented Programming) Concept
- Knowledge of Android SDK and NDK
- Knowledge of JSON and XML
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Android DevelopmentKotlinJava
React NativeDesignation: Android Developer Experience: 4-8 Yrs
Location : Baner, Pune
Notice period : Immediate to 30 Days
- Proven software development experience
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Data Warehouse and Analytics solutions that aggregate data across diverse sources and data types
including text, video and audio through to live stream and IoT in an agile project delivery
environment with a focus on DataOps and Data Observability. You will work with Azure SQL
Databases, Synapse Analytics, Azure Data Factory, Azure Datalake Gen2, Azure Databricks, Azure
Machine Learning, Azure Service Bus, Azure Serverless (LogicApps, FunctionApps), Azure Data
Catalogue and Purview among other tools, gaining opportunities to learn some of the most
advanced and innovative techniques in the cloud data space.
You will be building Power BI based analytics solutions to provide actionable insights into customer
data, and to measure operational efficiencies and other key business performance metrics.
You will be involved in the development, build, deployment, and testing of customer solutions, with
responsibility for the design, implementation and documentation of the technical aspects, including
integration to ensure the solution meets customer requirements. You will be working closely with
fellow architects, engineers, analysts, and team leads and project managers to plan, build and roll
out data driven solutions
Expertise:
Proven expertise in developing data solutions with Azure SQL Server and Azure SQL Data Warehouse (now
Synapse Analytics)
Demonstrated expertise of data modelling and data warehouse methodologies and best practices.
Ability to write efficient data pipelines for ETL using Azure Data Factory or equivalent tools.
Integration of data feeds utilising both structured (ex XML/JSON) and flat schemas (ex CSV,TXT,XLSX)
across a wide range of electronic delivery mechanisms (API/SFTP/etc )
Azure DevOps knowledge essential for CI/CD of data ingestion pipelines and integrations.
Experience with object-oriented/object function scripting languages such as Python, Java, JavaScript, C#,
Scala, etc is required.
Expertise in creating technical and Architecture documentation (ex: HLD/LLD) is a must.
Proven ability to rapidly analyse and design solution architecture in client proposals is an added advantage.
Expertise with big data tools: Hadoop, Spark, Kafka, NoSQL databases, stream-processing systems is a plus.
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5 or more years of hands-on experience in a data architect role with the development of ingestion,
integration, data auditing, reporting, and testing with Azure SQL tech stack.
full data and analytics project lifecycle experience (including costing and cost management of data
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Microsoft Azure and Data Certifications, at least fundamentals, are a must.
Experience using agile development methodologies, version control systems and repositories is a must.
A good, applied understanding of the end-to-end data process development life cycle.
A good working knowledge of data warehouse methodology using Azure SQL.
A good working knowledge of the Azure platform, it’s components, and the ability to leverage it’s
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Ability to work to demanding deadlines, keep momentum and deal with conflicting priorities in an
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Experience with AWS or google cloud platforms will be an added advantage.
Experience with Azure ML services will be an added advantage Personal Attributes
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A passion for achieving business transformation; the ability to energise and excite those you work with
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Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE ENGINEER-ML DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
- Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
- Career Progression: Senior ML Engineer, ML Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Advanced Machine Learning: TensorFlow, Keras
- Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
- Experience with OOPs and design patterns
- Exposure to RDBMS/NoSQL
- Test Driven Development Methodology
Good to Have
- Working in cloud-native environments (preferably Azure)
- Microservices
- Enterprise Design Patterns
- Microservices Architecture
- Distributed Systems
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon