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Job Overview: We are seeking a dedicated Senior Statistical Programmer to join our dynamic team. You will be responsible for the development, quality control, and documentation of statistical (SAS) programming deliverables for clinical research studies.
Key Responsibilities:
1. Lead and oversee the development of SAS programs for the management and statistical analysis of clinical trial data.
2. Develop, test, and validate statistical tables, listings, and graphs (TLGs) in support of the statistical analysis plan.
3. Support the generation and review of protocols, data management plans, study reports, and other regulatory documents.
4. Provide input to the statistical analysis plan, table shells, data integration plans, and mock-ups.
5. Ensure data quality by designing and validating key data checks and listings.
6. Develop specifications for derived datasets and perform data transformation as necessary.
7. Collaborate effectively with data management and biostatistics teams, clinicians, and other project stakeholders.
8. Guide junior programmers and provide mentoring as needed.
9. Keep abreast of new developments in SAS programming and clinical research, and act as a subject matter expert for the team.
Required Qualifications and Skills:
1. Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or a related field.
2. Minimum of 3 plus years of statistical programming experience in the pharmaceutical, biotech, or CRO industry.
3. Excellent SAS programming skills and proficiency in SAS/Base, SAS/Macro, SAS/Graph, and SAS/STAT.
4. Familiarity with CDISC SDTM and ADaM data standards.
5. In-depth understanding of clinical trial data and extremely complex statistical methods.
6. Excellent problem-solving skills and a proactive approach to identifying and resolving issues.
7. Strong written and verbal communication skills, with the ability to translate complex data into understandable results.
8. Proficiency in English, with excellent written and verbal communication skills.
9. Prior experience leading teams or projects is highly desirable.
Preferred Skills:
1. Experience in oncology, immunology, respiratory, infectious diseases, or neurosciences is a plus.
2. Knowledge of other statistical software such as R or Python is a plus.
3. Knowledge of regulatory guidelines (FDA/EMA/ICH) is preferred.
JOB DETAILS:
Job Role: RM Corporate Sales
Industry: Insurance
Function: Sales/Business Development
Working Day: 6
Work Mode: ONSITE
Salary: Best in Industry
Experience: 4-10 years
Location: Delhi, Mumbai, Chennai & Kolkata
Required Skills: Corporate Insurance Sales Expertise, Business Development & Lead Generation, Insurance Product Knowledge, Negotiation & Client Advisory, Relationship & Account Management
Criteria:
- Looking for Local candidates only.
- Need candidate from Insurance broking companies or from corporate banking who is handling Corporate salary accounts only.
- 4 to 10 years of experience in corporate insurance sales, insurance broking, or general insurance
- Proven track record in acquiring and managing corporate clients
- Hands-on experience in generating leads and closing corporate insurance deals
- Strong expertise in general insurance products (Fire, Property, Liability, Marine, Engineering, Group Health, etc.)
- Direct experience in advising corporate clients on risk management and insurance solutions
- Ability to prepare and present proposals to senior stakeholders (CFOs, Risk Managers, HR Heads)
- Experience in negotiating premiums, coverage terms, and policy conditions with insurers
- Proven capability to achieve assigned revenue, premium, and acquisition targets
- Strong experience in managing policy renewals and premium collections
- Demonstrated ability in cross-selling and upselling insurance products
- Experience in coordinating with insurers and internal teams for policy placement
- Sound knowledge of IRDAI regulations and insurance compliance requirements
- Excellent communication, presentation, and negotiation skills
- Ability to independently manage client relationships and meet business targets
Description
Qualifications & Experience:
• Bachelor’s degree in business, Finance, Marketing, or related field (MBA preferred)
• 4 – 10 years of experience in corporate insurance sales, insurance broking, or general insurance
We are looking for experienced professional responsible for acquiring, managing, and growing corporate clients by providing insurance broking solutions tailored to their risk management needs. The role involves identifying business opportunities, advising clients on appropriate insurance coverage, negotiating with insurers, and ensuring long-term client relationships.
Key Responsibilities:
Business Development & Sales
• Identify and develop new corporate clients across industries such as manufacturing, IT, logistics, healthcare, and infrastructure.
• Generate leads through networking, referrals, cold calling, and market research.
• Achieve assigned revenue, premium, and client acquisition targets.
• Prepare and deliver presentations and proposals to corporate decision-makers (CFOs, Risk Managers, HR Heads).
Client Relationship Management
• Act as a trusted advisor by understanding client business risks and insurance requirements.
• Maintain strong relationships with existing corporate clients to ensure renewals and cross-selling opportunities.
• Conduct regular client meetings and policy reviews.
Insurance Placement & Advisory
• Analyze client risk profiles and recommend appropriate insurance solutions such as:
o Fire Insurance
o Property & Engineering Insurance
o Liability Insurance
o Marine Insurance
o Group Health & Employee Benefits
• Coordinate with internal teams and insurers to place policies on competitive terms.
• Support negotiations on premiums, coverage terms, deductibles, and claims handling arrangements.
Renewals & Cross-Selling
• Manage policy renewals by ensuring timely documentation and premium collection.
• Identify opportunities for upselling and cross-selling additional insurance products.
Market & Insurer Coordination
• Build and maintain relationships with insurance companies and underwriters.
• Stay updated on market trends, new insurance products, and regulatory changes.
Compliance & Documentation
• Ensure compliance with IRDAI regulations and internal company policies.
• Maintain accurate sales records, client documentation, and MIS reports.
Key Skills & Competencies
• Strong corporate sales and negotiation skills
• Sound knowledge of general insurance products and broking practices
• Excellent communication and presentation abilities
• Client-focused and solution-oriented approach
• Ability to work independently and meet targets
• Relationship management and networking skills
Key Performance Indicators (KPIs)
• Premium and revenue targets achieved
• Number of new corporate clients acquired
• Renewal retention ratio
• Cross-sell and upsell contribution
• Client satisfaction and relationship strength
CoinFantasy is looking for an experienced Senior AI Architect to lead both the decentralised protocol development and the design of AI-driven applications on this network. As a visionary in AI and distributed computing, you will play a central role in shaping the protocol’s technical direction, enabling efficient task distribution, and scaling AI use cases across a heterogeneous, decentralised infrastructure.
Job Responsibilities
- Architect and oversee the protocol’s development, focusing on dynamic node orchestration, layer-wise model sharding, and secure, P2P network communication.
- Drive the end-to-end creation of AI applications, ensuring they are optimised for decentralised deployment and include use cases with autonomous agent workflows.
- Architect AI systems capable of running on decentralised networks, ensuring they balance speed, scalability, and resource usage.
- Design data pipelines and governance strategies for securely handling large-scale, decentralised datasets.
- Implement and refine strategies for swarm intelligence-based task distribution and resource allocation across nodes. Identify and incorporate trends in decentralised AI, such as federated learning and swarm intelligence, relevant to various industry applications.
- Lead cross-functional teams in delivering full-precision computing and building a secure, robust decentralised network.
- Represent the organisation’s technical direction, serving as the face of the company at industry events and client meetings.
Requirements
- Bachelor’s/Master’s/Ph.D. in Computer Science, AI, or related field.
- 12+ years of experience in AI/ML, with a track record of building distributed systems and AI solutions at scale.
- Strong proficiency in Python, Golang, and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in decentralised architecture, P2P networking, and heterogeneous computing environments.
- Excellent leadership skills, with experience in cross-functional team management and strategic decision-making.
- Strong communication skills, adept at presenting complex technical solutions to diverse audiences.
About Us
CoinFantasy is a Play to Invest platform that brings the world of investment to users through engaging games. With multiple categories of games, it aims to make investing fun, intuitive, and enjoyable for users. It features a sandbox environment in which users are exposed to the end-to-end investment journey without risking financial losses.
Building on this foundation, we are now developing a groundbreaking decentralised protocol that will transform the AI landscape.
Website:
Benefits
- Competitive Salary
- An opportunity to be part of the Core team in a fast-growing company
- A fulfilling, challenging and flexible work experience
- Practically unlimited professional and career growth opportunities
We are looking for a passionate and experienced Java Developer with over 4 years of hands-on experience in building robust and scalable backend systems using Java, Spring Boot, and Microservices architecture.
Key Responsibilities:
- Design, develop, test, and deploy high-performance, scalable, and secure backend services using Java 8+, Spring Boot, and Microservices.
- Participate in the entire software development lifecycle (SDLC), from requirements gathering to production deployment and support.
- Collaborate with frontend developers, DevOps engineers, and product owners to deliver end-to-end features.
- Optimize application performance and ensure high availability and responsiveness.
- Write clean, maintainable, and reusable code while following best practices (coding standards, unit testing, CI/CD, etc.).
- Develop RESTful APIs and ensure their quality and consistency.
- Handle integration with external systems and third-party services.
- Participate in code reviews, provide constructive feedback, and mentor junior developers.
Technical Skills Required:
- Languages: Java 8 or above
- Frameworks: Spring Boot, Spring MVC, Spring Security
- Architecture: Microservices architecture and design patterns
- Databases: MySQL/PostgreSQL, MongoDB (optional)
- Messaging: Kafka, RabbitMQ (optional)
- API Development: RESTful APIs, Swagger/OpenAPI
- Version Control: Git, GitHub/GitLab
- Tools: Maven/Gradle, Jenkins, Docker
- Testing: JUnit, Mockito
- Cloud (optional): AWS/Azure/GCP exposure
- CI/CD & DevOps tools (optional): Jenkins, Docker, Kubernetes
Nice to Have:
- Experience in containerization and orchestration (Docker, Kubernetes).
- Knowledge of API Gateway, Service Registry (e.g., Eureka), and Circuit Breakers (e.g., Hystrix or Resilience4j).
- Experience with Agile methodologies (Scrum/Kanban).
- Familiarity with monitoring and logging tools (ELK, Prometheus, Grafana, etc.).
key skills - Flutter, android development, ios development
Experience: 1 - 4 years
location - chennai
Roles and Responsibilities
- Good programming skills in Dart and Object-Oriented concepts.
- Experience with Flutter - Material design, BLOC, Async, Streams, Navigation.
- Exposure to Android and iOS Mobile Application Stack.
- Experience in working with RESTful APIS, TCP / Sockets.
- Knowledge in version control - Git
Kindly Check the Roles and Responsibilities of US IT Recruiter
• Responsible for handling IT requirements from US based clients(State clients/Federal clients)
• Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.
• Sourcing from Job Portals (Monster, Dice, Career builder, Yahoo Hot Jobs), Making job postings on the Job Portal.
• Must be having capability to work with a team or individually.
• Maintain close contact with candidates/Vendors/ recruiters/offshore team.
• Publish progress report to management every week.
About us: www.devcare.com
Devcare Solution is a place where a best-in-class working environment, professional management, and opportunities to learn exist bundled with exceptional rewards. It is ready to take more on board for all those who deserve a dream career. The team is full of good spirits complimenting each one's brilliance at workplace. Needless to say, about the interesting projects, you for sure will gain an enriching positive experience every moment.
Name of the company: DevCare Solutions
Year of establishment: April 19th, 2005
Company address: No 4, Ram complex, Padasalai Street, Urapakkam, Chennai 603210
It's Complete US Shift – Onsite
Shift Timing will be 7.00pm to 4.00am IST
Cab: Pick and Drop Available
Dinner will provide in the company
Benefits
EPF
Placement Incentives
Responsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.
- Experience leading development efforts through all phases of SDLC.
- 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Preferred candidates with less than 30 days notice period.
- Required 4+ years of experience in Java.
- Hands on professional experience using Core Java, Java Restful APIs, Gradle, Spring, Spring Boot and related frameworks.
- Hands on experience creating/consuming web services and data Data queries in SQL
- 2+ years’ experience of working with geographically dispersed teams, that fall across different time zones
- Experience with distributed architecture including web services and technologies
- Developing POCs
- Working knowledge of JIRA or other ALM tools to create a productive, high quality development environment
The right candidate will work well, think outside the box, and be highly self-motivated.
Responsibilities
Generate qualified leads by rigorously prospecting in the assigned region or market via outbound model.
Respond quickly and qualify inbound marketing leads via web form or web chat, as required.
Do rigorous research on companies, present solution, doing demo, and follow-ups.
Be product expert and champion.
Come up with creative emails and campaigns to draw the attention of prospects.
Collate and help Product and Marketing teams with feedback.
Job Requirements
Proven work experience of min one year as an Inside Sales Representative or similar role.
Prior SDR experience in SaaS product firms is mandatory
Previously handled products with pricing in range of 500 to 1000USD monthly billing is mandatory
SMB and or Mid-Market experience mandatory
Flexibility in working in different shifts/regions like US Or UK or Global Markets mandatory -
Good To Have
Prior exposure to tools like LinkedIn Sales Navigator, DiscoverOrg, ZoomInfo, Slintel, Hubspot etc.
We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
- Must have the experience of leading teams and drive customer interactions
- Must have multiple successful deployments user stories
- Extensive hands on experience in Apache Spark along with HiveQL
- Sound knowledge in Amazon Web Services or any other Cloud environment.
- Experienced in data flow orchestration using Apache Airflow
- JSON, XML, CSV, Parquet file formats with snappy compression.
- File movements between HDFS and AWS S3
- Experience in shell scripting and scripting to automate report generation and migration of reports to AWS S3
- Worked in building a data pipeline using Pandas and Flask FrameworkGood Familiarity with Anaconda and Jupyternotebook





