Relation Manager

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values 

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement 

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Location: Noida, India (Hybrid) - 2 days from office

Position: Full-time

As a Senior Data Scientist, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.

Key Responsibilities

• Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
• Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
• Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
• Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
• End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects—from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
• Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
• Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.

Required Skills and Qualifications

• Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 7+ years of professional experience in a Data Scientist, AI Engineer, or related role.
• Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
• Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
• Proven experience in developing and deploying scalable systems on cloud platforms, particularly in GCP.
• Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
• Experience with containerization technologies, specifically Docker.
• Solid understanding of software engineering principles and experience building APIs and microservices.

Preferred Qualifications

• A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
• Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
• Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
• Proven ability to lead technical teams and mentor other engineers.
• Experience developing custom tools or packages for data science workflows.

Strong Creative Video Production / Content Strategy Leadership Profile

Mandatory (Experience 1) – Must have 2+ YOE in Video Production & video content creation for B2C / Fin-Tech digital platforms.

Mandatory (Experience 2) – Must have extensive hands-on experience in storyboarding, scripting, copywriting, and video production processes (concept to execution).

Mandatory (Core Skill 1) – Must be proficient in AI-driven content creation tools and video production/editing software (Adobe Premiere Pro, Final Cut Pro, After Effects, Photoshop, etc.), along with familiarity in prototyping/automation tools.

Mandatory (Core Skill 2) – Strong expertise in video-led content strategy, project management, digital marketing principles, and performance tracking (CTR, engagement, conversions, SEO best practices).

Mandatory (Portfolio) – Must have a strong portfolio of video content strategy, production, and execution, showcasing work across diverse digital formats (explainer videos, product demos, customer storytelling, social content).

Mandatory (Company) - Social-first Digital Agencies, OR eCommerce / B2C Brands OR New-age internet companies

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

Hungry, Humble, Honest, with Heart.

The Opportunity

We are looking for a Senior Member of Technical Staff QA with extensive experience in automation development, strategy, and testing skills to be part of our dynamic team.

About the Team

At Identity & Access Management, we are trying to build the next-generation IAM to help enterprises & internal clients.

Your Role

As the gatekeeper of our product quality, you would be required to ensure that product releases adhere to the highest quality norms. You will design and develop a testing framework for our products and be part of a ruthless quality team. You will develop test tools, test cases, maintain test beds, and provide metrics and test/quality status.

What You Will Bring

• Be a self-starter who can flourish in a fast-paced technology company
• Be the owner of our automation and delivery systems
• Be actively participating in Coding & Code reviews
• Have expertise with automation and building tools such as Selenium, Jenkins, REST API, SDK
• Strong systems background (Linux systems with exposure to Process, Memory and IO Management tools
• Strong Coding skills (DS, Algos).
• You will enable our engineers to generate known-quality releases with every commit, discover defects early and iterate fast.
• Good understanding of Kubernetes 
• Good experience in building & maintaining an Automation Framework
• Excellent programming and scripting capabilities to develop code for automated tests using Python/C++/Perl/Go/Java Lang
• Min 9 - 17 years of relevant experience 

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

• On the Job Training and support.
• Get Excellent Incentives on a regular basis.
• Saturday and Sunday fixed Weekend off.
• Growth in Career (Become a Team Lead).
• Exposure to multiple industries and the latest IT trends.

• Education: Any Graduate/ Post Graduate/ 10th/12th Pass (Preferably in IT, Computer Science)
• Good Communication - Verbal and written (English Mandatory).
• Good Attitude & Team Player.
• Speaking with professionals across the USA.
• Knowledge of MS Office (will be a plus).
• People with experience can also apply.

What you need to have:

• 7-10 years experience in FMCG brand as a Trade Marketing Executive/ Manager
• Excellent verbal and written communication skills
• Good coordination skills