3 Recommendation Jobs

Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism. The Credit Risk Analyst II position is a developing professional role that requires applying specialty area knowledge in monitoring, assessing, analyzing, and evaluating processes and data. This role involves identifying policy gaps, formulating policies, interpreting data, making recommendations, researching and interpreting factual information, and identifying inconsistencies in data or results. The job holder must define business issues and formulate recommendations on policies, procedures, or practices, integrating established disciplinary knowledge within their specialty area with a basic understanding of related industry practices. The impact of the job holder is limited but direct on the business through the quality of the tasks/services provided and is restricted to their own team. In this role, the primary focus will be on data quality support of global contract negotiations and trades, which includes document review, data entry, exception reporting, document scanning, and document warehousing. The ideal candidate must possess excellent technical skills and the ability to learn and work with a very complex in-house data management system. Additionally, the position will require gaining a detailed familiarity with Citigroup's standard forms of documentation, technology, and internal procedures. As a successful candidate, you are expected to have 4-6 years of relevant experience and be able to make judgments and recommendations based on analysis and specialty area knowledge. You should be able to research and interpret factual information, identify inconsistencies in data or results, define business issues, formulate recommendations on policies, procedures, or practices, and exchange information in a concise and consistent way while being sensitive to a diverse audience. Education: - Bachelors/University degree or equivalent experience Global Benefits: - Programs and services are provided for your physical and mental well-being, including access to telehealth options, health advocates, confidential counseling, and more. Coverage varies by country. - Various programs are available to help employees balance their work and life, including generous paid time off packages. Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community, and make a real impact. Take the next step in your career, apply for this role at Citi today. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

The role involves supervising the labeling and packaging of medical devices in a controlled environment. This includes overseeing the packaging of products in blister or pouches. You will be responsible for creating and modifying labeling for finished products, ensuring adherence to design and branding guidelines. Collaborating with various departments to address labeling inconsistencies and meet project objectives is an essential part of the role. Managing labeling change requests within the document management system is also a key responsibility. Ensuring that all activities comply with cGMPs and writing/updating SOPs related to department activities are crucial aspects of the position. You will be expected to recommend and implement process improvements to enhance quality, reduce costs, and improve safety measures. Identifying the developmental needs of team members and providing coaching and mentoring to support their growth is also part of the role. Additionally, suggesting solutions through designated channels is an important aspect of the job. This is a full-time, permanent position with benefits including food provision, health insurance, paid sick leave, paid time off, and a Provident Fund. The work schedule consists of day and morning shifts with a yearly bonus. The preferred education level for this role is a Bachelor's degree. Previous experience in the pharmaceutical industry is preferred, with at least 1 year of relevant experience. The work location is in person.,

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Lead Data Scientist / TA Exp : 12 - 20 years Mode of work : Hybrid Model (3daya WFO) Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Job Description: We are looking for a highly experienced Lead Data Scientist / ML Engineer to drive innovation in Generative AI (GenAI) , search technologies , recommendation engines , and agentic AI systems . This role demands both technical excellence and strategic vision, combining deep hands-on expertise in AI/ML with proven leadership in building and scaling data science teams. Key Responsibilities: 1. Technical & Strategic Leadership Define and execute AI strategies aligned with business goals. Lead and mentor a high-performing team of data scientists and ML engineers. Drive architectural decisions and innovation in AI-powered products. 2. Generative & Agentic AI Build and deploy GenAI models for text generation and content automation. Develop agentic AI systems with autonomous task planning and decision-making capabilities. Apply latest deep learning advancements (transformers, diffusion models, etc.) to real-world use cases. 3. Search & Recommendation Systems Design scalable, high-performance search and recommendation platforms. Implement ML models for ranking, personalization, and relevance optimization. Leverage real-time feedback loops and experimentation (A/B testing). 4. Large Language Models (LLMs) Fine-tune and operationalize LLMs (e.g., GPT, BERT) for NLP tasks. Work closely with product teams to integrate LLMs into applications. Establish best practices for LLMOps, including prompt engineering and monitoring. 5. Machine Learning Engineering & MLOps Build robust ML pipelines for model development, deployment, and monitoring. Implement MLOps using CI/CD, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Ensure responsible AI practices and data governance compliance. 6. Collaboration & Stakeholder Engagement Translate business needs into ML solutions in partnership with product and engineering teams. Communicate insights and recommendations to stakeholders across levels. Promote a culture of data-driven decision-making. 7. Research & Innovation Stay updated on the latest in AI/ML and contribute to R&D efforts. Encourage experimentation, POCs, and technical publications. Required Qualifications: Masters or PhD in Computer Science, AI, Data Science, or related field. 12+ years of experience in data science/ML, with 5+ years in leadership roles. Strong experience in: Generative AI (e.g., GANs, VAEs, transformer models) Search & Recommendation Systems LLMs & NLP using frameworks like Hugging Face, TensorFlow, PyTorch Agentic AI and autonomous systems ML Engineering & MLOps Leadership skills with proven success in managing cross-functional teams. Strong communication and stakeholder management abilities. Preferred Skills: Experience with big data tools (Spark, Hadoop, Kafka). DevOps tools: Jenkins, GitLab CI, Terraform. Exposure to edge computing and distributed systems. Contributions to open-source AI/ML projects or research publications. Please check below link for organisation details https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com