Rohini IT Consulting LLP

Job Title: Solution Architect

Work Location: Tokyo

Experience: 7-10 years

Number of Positions: 3

Job Description:

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Responsibilities:

• Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
• Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
• Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
• Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
• Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
• Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
• Contribute to the development of technical documentation and roadmaps.
• Stay up-to-date with emerging technologies and propose enhancements to the solution design process.

Key Skills & Requirements:

• Proven experience (7-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
• Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
• Solid experience with Kubernetes for container orchestration and deployment.
• Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
• Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
• Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
• Strong experience in designing scalable architectures and applications from the ground up.
• Experience with DevOps and automation tools for CI/CD pipelines.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Skills:

• Experience with microservices architecture and containerization.
• Knowledge of distributed systems and high-performance computing.
• Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
• Familiarity with Agile methodologies and Scrum.
• Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.

Key Responsibilities:

·      Develop and maintain VBA applications and Microsoft Access databases to

·      automate workflows and improve business processes.

·      Design efficient data models, queries, forms, reports, and user-friendly interfaces

·      that align with project requirements.

·      Troubleshoot and resolve application issues, ensuring high performance, data

·      integrity, and security.

·      Collaborate with teams to understand functional requirements and implement

·      solutions effectively.

·      Provide detailed documentation, including code comments, technical specifications,

·      and user manuals.

·      Conduct testing and debugging to ensure applications are reliable and meet end-client

·      expectations.

·      Support end-users by offering training, resolving queries, and implementing

·      enhancements as needed.

Skills and Qualifications:

·      3-5 years of proven experience in VBA development with a strong focus on

·      Microsoft Access.

·      Proficiency in Visual Basic for Applications (VBA), Microsoft Access, and SQL.

·      Solid experience in database design, including tables, queries, and form/report

·      creation within Access.

·      Strong problem-solving and debugging skills, with attention to detail and ability to

·      work independently.

·      Excellent communication skills to effectively collaborate with teams and document

Preferred Skills:

·      Knowledge of Microsoft Excel Macros and Power BI is a plus.

·      Prior experience with projects for USA-based clients.

·      Familiarity with tools like JIRA, Trello, or similar for project tracking.

Data Scientist - Healthcare AI

Location: Bangalore, India

Experience: 4+ years

Skills Required: Radiology, visual images, text, classical models, LLM multi-modal

Responsibilities:

·      LLM Development and Fine-tuning: Fine-tune and adapt large language models (e.g., GPT, Llama2, Mistral) for specific healthcare applications, such as text classification, named entity recognition, and question answering.

·      Data Engineering: Collaborate with data engineers to build robust data pipelines for large-scale text datasets used in LLM training and fine-tuning.

·      Model Evaluation and Optimization: Develop rigorous experimentation frameworks to assess model performance, identify areas for improvement, and inform model selection.

·      Production Deployment: Work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

·      Predictive Model Design: Leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models).

·      Cross-functional Collaboration: Partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions.

·      Knowledge Sharing: Mentor junior team members and stay up-to-date with the latest advancements in machine learning and LLMs.

Qualifications:

·      Doctoral or master's degree in computer science, Data Science, Artificial Intelligence, or related field.

·      5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models.

·      12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

·      Experience working with cloud-based platforms (AWS, GCP, Azure).

Preferred Qualifications:

o  Experience working in the healthcare domain, particularly oncology.

o  Publications in relevant scientific journals or conferences.

o  Degree from a prestigious university or research institution.

Mandatory Skills- Data Engineer, client Engagement, Project Management, Project Delivery, Team Leadership, Data Governance, Quality Assurance, Business Development, Data Architecture

Additional Skills- Communication Skills, Problem Solving Skills

Job Description

This position requires someone with good problem solving, business understanding and client presence. Overall professional experience of the candidate should be above 8 years. A minimum of 5 years of experience in leading and managing a client portfolio in Data Engineering space. Should have good understanding of business operations, challenges faced, and business technology used across business functions. 

The candidate must understand the usage of traditional and modern data Engineering technologies/tools for solving business problems and help clients in their data journey. The candidate must have knowledge of emerging technologies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.

Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects. 

Key Responsibilities:

Client Engagement & Relationship Management:

• Serve as the primary point of contact for clients on data engineering projects, understanding their needs, challenges, and goals.
• Develop and maintain strong client relationships, ensuring high levels of client satisfaction and repeat business.
• Translate client requirements into actionable technical solutions and project plans.

 Project Management & Delivery:

• Oversee the delivery of data engineering projects from inception to completion, ensuring projects are delivered on time, within scope, and within budget.
• Manage project resources, timelines, and risks, ensuring smooth project execution and delivery.
• Collaborate with cross-functional teams including data scientists, business analysts, and IT professionals to deliver comprehensive data solutions.

 Technical Leadership & Innovation:

• Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs.
• Stay abreast of industry trends, technologies, and best practices, and implement them in client projects to drive innovation and competitive advantage.
• Provide technical oversight and guidance to the data engineering team, ensuring the adoption of best practices and high-quality output.

 Team Leadership & Development:

• Lead, mentor, and manage a team of data engineers, fostering a collaborative and high-performance culture.
• Provide professional development opportunities, coaching, and career growth support to team members.
• Ensure the team is equipped with the necessary skills and tools to deliver high-quality consulting services.

 Data Governance & Quality Assurance:

• Implement and oversee data governance frameworks, ensuring data integrity, security, and compliance across all client projects.
• Establish and enforce data quality standards, ensuring the reliability and accuracy of data used in client solutions.
• Business Development & Consulting:
• Support business development efforts by contributing to proposals, presenting solutions to prospective clients, and identifying opportunities for expanding client engagements.
• Provide thought leadership in data engineering, contributing to white papers, webinars, and conferences to enhance the company’s reputation in the industry.

 Experience candidates should bring

• 8 to 12 years of data engineering experience with at least 3 years in a managerial role within a consulting or professional services environment.
• Proven experience in managing multiple, complex data engineering projects simultaneously.
• Experience in leading a team of 8 to 12 professionals.
• Strong problem-solving skills and the ability to handle complex, ambiguous situations.
• Exceptional project management skills, with experience in Agile methodologies.
• A client-service mindset and a desire to take on tough and challenging projects
• Effective communication skills, both written and verbal
• Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment.

Required Qualification

Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.) 

Mandatory Skills - Data Engineering, Data Lake, Oracle BICC/BIP, Data Extraction, Etl Tools, Oracle Fusion, Big Data, Databricks,Data Ingestion, Medallion Architecture

Additional Skills- fivetran, Sksplashview, Git, Ci/cd Concepts

Job Description

Seeking an experienced Data Engineer who can play a crucial role in the company's fintech data lake project.

Technical/Functional Skills:

Must have

• 5+ years of experience working in data warehousing systems
• Strong experience in Oracle Fusion ecosystem, with strong data-extracting experience using Oracle BICC/BIP.
• Must have good functional understanding of Fusion data structures.
• Must have strong and proven data engineering experience in big data / Databricks environment
• Must have hands-on experience building data ingestion pipelines from Oracle Fusion Cloud to a Databricks environment
• Strong data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion architecture
• Capable of independently delivering work items and leading data discussions with Tech Leads & Business Analysts

Nice to have:

• Experience with Fivetran or any equivalent data extraction tools is nice to have.
• Experience in supporting Splash report development activities is a plus.
• Prefer experience with Git, CI/CD tools, and code management processes

The candidate is expected to:

• Follow engineering best practices, coding standards, and deployment processes.
• Troubleshoot any performance, system or data related issues, and work to ensure data consistency and integrity.
• Effectively communicate with users at all levels of the organization, both in written and verbal presentations.
• Effectively communicate with other data engineers, help other team members with design and implementation activities.

Dot Net React Developer

Location – Pune, Hinjewadi

Mode of work – Hybrid (3 days work from office)

Experience- 5 to 10 Years

Mandatory Skills- Dot Net, React, C#, Asp.net, Web Api, Redux, Orm, Messaging & Streaming Broker, Microsoft SQL Server, Databricks / Spark

Additional Skills- Azure DevOps, Azure App services, Communication Skills, Agile Scrum

Overview -

We are seeking a Passionate Developer who can leverage technology to improve healthcare delivery & revolutionize patient care and outcomes to make a positive impact. The ideal candidate will have a strong background in software development, proficiency in both front-end and back-end technologies, and a deep understanding of healthcare systems and regulations in the US.

Technical Skills –

• Full Stack Technologist with extensive knowledge on web-based architecture, Microservice & distributed solution,
• Mandatory - .NET 7.0+, C#, ASP.NET, WEB API, React, State management framework such as Redux or MobX, ORMs (entity framework), Messaging & Streaming Broker, Microsoft SQL Server, Databricks / Spark.
• Good to Have - Azure DevOps, Azure App services

Good to Have –

1. Experience with healthcare data analytics, machine learning, or AI technologies.
2. Certification in healthcare IT (e.g., Certified Professional in Healthcare Information and Management Systems, CHPS).
3. Familiarity with agile development methodologies and Production Support practices.
4. Experience working in an agile/scrum environment.

Soft Skills –

• Strong communication skills - oral and verbal.
• Ability to work with various stakeholders across various geography.
• with the ability to build & sustain teams.
• Mentor people and create a high performing organization, fostering talent, resolving conflicts to build & sustain teams.
• Strong understanding of Object-oriented design, and multi-tier application architecture.

Required Qualification

Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.) ,Bachelor of Computer Applications (B.C.A.) ,

Senior QA Engineer

Experience - 3 to 5 Years

Mandatory Skills- Manual Testing, Sql, ETL Processes, Data Pipelines, Data Warehousing, Geo-Spatial Data

Additional Skills - Communication Skills, Performance Testing, Automation Testing

Locations-Bengaluru/ Gurugram

Job Description

We are looking for a skilled QA / Data Engineer with 3-5 years of experience. The ideal candidate will have strong expertise in manual testing and SQL, with additional knowledge in automation and performance testing being highly desirable. You will be responsible for ensuring the quality and reliability of our data-driven applications by performing thorough testing and validation.

Must Have Skills:

Extensive experience in manual testing, particularly in data-centric environments.

Strong SQL skills for data validation, querying, and testing of database functionalities.

Experience in data engineering concepts, including ETL processes, data pipelines, and data warehousing.

Experience in Geo-Spatial data.

Solid understanding of QA methodologies and best practices for both software and data testing.

Good communication skills.

Good To Have Skills:

Experience with automation testing tools and frameworks (e.g., Selenium, JUnit) for data pipelines.

Knowledge of performance testing tools (e.g., JMeter, LoadRunner) for evaluating data systems.

Familiarity with data engineering tools and platforms (e.g., Apache Kafka, Apache Spark, Hadoop).

Understanding of cloud-based data solutions (e.g., AWS, Azure, Google Cloud) and their testing methodologies.

Required Qualification

Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.)

Mandatory Skills - Business Development, Bdm, Staffing Services, Sales, It Staffing

Role Description

This is a full-time on-site role for a position of “Business Development Manager” in Bangalore. As a BDM, you will be responsible for developing and expanding our client base in the Indian market. You will identify business opportunities, build relationships, and meet our client needs for their manpower requirements on CTH basis. This role requires strong interpersonal and communication skills, as well as a deep understanding of the IT staffing industry and market trends.

Key Responsibilities:

Conduct thorough market research to identify potential clients, market trends, and competitive positioning within the Indian market for IT consulting services.

Develop and execute targeted strategies to acquire new clients, including prospecting, lead generation, and nurturing relationships with key decision-makers.

Understand client needs and pain points, and effectively position our IT consulting services as solutions to address their challenges and drive business outcomes.

Manage the end-to-end sales process, from lead generation to deal closure, ensuring timely follow-up and engagement to move prospects through the sales funnel.

Build and maintain strong relationships with clients, understanding their evolving needs, and providing ongoing support and value-added services to drive customer satisfaction and retention.

Develop and implement strategic business development plans aligned with company objectives and revenue targets, leveraging insights from market analysis and client feedback.

Work closely with internal teams, including consultants, marketing, and delivery teams, to ensure alignment of sales strategies and seamless execution of client engagements.

Monitor and analyze sales performance metrics, including pipeline activity, conversion rates, and revenue growth, providing regular reports and updates to management.

Mandatory Skills- Business Analyst, Testing Lifecycle, Project Delivery

We are looking for core banking domain Business Analyst/Functional consultant with proven capabilities in capturing As-Is process, preparing functional specifications, business requirement document, analyzing the gaps and preparing functional test cases, monitoring, and delivering end to end project.

Roles & Responsibilities:

Working as a Business Analyst with Banking domain

Working closely with stakeholders to ensure end to end project delivering - planning, requirements elicitation, confirm elicitation results, solution evaluation, strategy analysis. ·

Should be versed with – Backlog management, user stories, used cases, defect management, Testing lifecycle. ·

Managing stakeholders across different vendors to ensure infrastructure, development work, solutioning are getting delivered as per scope.

Managing the implementation phase by formulating execution plans, managing issues arising due to scope creep or other technical matters

Mandatory Skills- Planning, Risks & Issues Management, Cost & Benefits Management, Change impact assessments, Reporting and Resourcing, Tracking, PMP, CSM, Agile, Project management

• Good banking domain understanding (Global Bank exposure- Mandatory)

• Must have Certifications - PMP, CSM, Agile & Prince2

• Core PM Skills – Planning, Tracking, Risks & Issues Management, Cost & Benefits Management, Change Impact Assessment, Reporting and Resourcing

• Experience in working on Transformation projects (Not IT or Technical Project managers)

• Strong alignment with Agile ways or working

• Experienced in at least 2-3 Digital project delivery in large banks

• Delivery and not consulting orientation

• Experienced in working with senior and cross geography stakeholders

• Strong communication, articulation and negotiation skills Qualification

• 7+ years of relevant experience

• Strong project management experience with global banks

• Education – MBA, B. Tech/ BE (Preferred)