4 Ai Solution Jobs

Global AI-ML - Boost Position Purpose The chosen candidate will assume, in close coordination with the Head on the [AI Center of Expertise]; the role of "Senior Data Scientist" participating, along with the whole team, in supporting the business teams in the experimentation and industrialization of innovative projects (AA) i.e. from the POC to project instruction phases and implementation and deployment in the BNPP ITG Cloud infrastructure. Responsibilities As part a full-stack developer in MIND squad, your daily tasks will be: Direct Responsibilities Define the target architecture Design of the associated AI solution to meet user's needs Exchange with the various ITG experts to reach the full understanding of AI landscape (Service offers available, technical and security requirements, guidelines, ) Launch the Proof of Concept if needed to experiment new models, algorithms, technical assets, Launch the industrialization process following ITG guidelines with the help of the project manager (project launching, instruction, ); Support the integration of solutions into the BNPP ITG infrastructure Coordinate the testing new solutions with users Manage the maintenance of the solutions in Production Environment Identify skills needed depending on the characteristics of the project Build the staffing accordingly project by project Identify potential new skills needed and coordinate with Head of CoE to anticipate needed trainings / hirings Transversal and Contributing Responsibilities Contribute to transversal Finance optimization projects Act as a mentor to other team members being Data Scientists or people within the team engaged in an upskilling/reskilling to AI path Acculturate our F&R-Solutions colleagues and our business partners, on AI capabilities helping them getting basic/medium knowledge and enlighten them on its benefits. Act as first point of contacts for local business partners in the collect and first-level assessment of potential AI-eligible needs.Collaborate with Finance counterparts for developing insights and solutions Documentation of applications, maintenance processes and user guides. Participate to the "Ideation" phase used to identify pain points and possible topics eligible to AI Participate to the Identification of potential new skills/competencies needed and alert Head of CoE accordingly. Participate to the technological watch regarding AI at large: new algorithms, new models, new features, in order to propose up-to-date solutions to our portfolio of projects Technical & Behavioral Competencies Candidate must justify relevant experience on following streams: Minimum of 5 years as Team Leader coordinating team (5 people or more) on implementation and maintenance of IT solutions. Strong knowledge and experience in conducting the different phases of a project (requirements, design, implementation, tests, industrialization, ) is required. Also, significant experience on Agile is needed, especially Scrum methodology. Minimum of 2 years on AI projects having had the opportunity to work on a variety of topics: Machine Learning, NLG, NLP, LLM, MLLM, IDP, OCR, ... pushing those topics to Production environment validating industrialized phase. Following skills are required: Technically On below listed areas (Machine Learning, NLG, NLP, LLM, MLLM, ...) Knowledge of algorithms/models Ability to train/finetune a model Transversally Python coding Domino platform Understand the BNPP Technical Context Structuring application following "DevOps" guidelines allowing industrialization and scale-up Take ownership and use the services offered by the Group Ability to collaborate / teamwork Be customer oriented Be results oriented Ability to analyze Critical thinking Ability to anticipate business / strategic changes Ability to understand, explain and lead change Creativity & Innovation / Ability to solve problems Ability to define relevant performance indicators Specific Qualifications (if required) Candidate must have a Master degree in Computer Science or Data Engineering or Data Science. 5+ years experience required Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Client focused Adaptability Creativity & Innovation / Problem solving Transversal Skills: (Please select up to 5 skills) Ability to understand, explain and support change Analytical Ability Ability to anticipate business / strategic evolution Ability to develop and adapt a process Education Level: Master Degree or equivalent Experience Level At least 5 years

As a Solution Specialist, you will collaborate with multiple teams such as sales, delivery & marketing to put forth Affine in front of our clients/partners. This position will give you opportunities to work on a wide range of problems and businesses as a part of the business team. You will often be working closely with senior management including founders and VPs to define solutioning strategies and engagement workflows. The role requires people with a good mix of technical knowledge and business acumen, and who are prepared to learn every day. Responsibilities Communicate with sales teams, clients, and partners to understand solutioning requirements, translating business questions into analytical solutions. Create solution proposals and respond to requests for proposals (RFPs). Participate in sales meetings as a subject matter expert (SME). Present Affine's thought leadership through intuitive storyboarding. Lead and mentor a team of Solution Analysts to meet expected SLAs. Anticipate and identify changes in industry trends to help the organization develop strategic plans. Research the latest trends in relevant analytical technologies and share knowledge within the organization. Effectively interact with clients, partners, and internal teams at all levels and across geographies. Communicate effectively with both technical and non-technical stakeholders, driving discussions efficiently. Job Requirement Minimum 5+ years of relevant experience in the analytics industry. Familiarity with machine learning and advanced AI concepts or practical experience in these areas is advantageous. Strong technical writing skills for creating required documentation. Ability to identify and contribute to projects aimed at improving services, customer satisfaction, profitability, and team efficiency. Strong customer focus with the ability to manage escalations and balance the needs of customers and internal teams (Sales, Pursuit, Delivery). Experience in translating business questions into analytical solutions. Proficiency in MS PowerPoint and Excel Bachelor's (B.Tech.) or master's degree in engineering or other quantitative disciplines

Overview: We are seeking an exceptional and technically accomplished Senior Data Scientist to join our rapidly growing team. This role is ideal for a hands-on AI expert with deep experience in Large Language Models (LLMs) , Natural Language Processing (NLP) , Cognitive AI , Conversational AI , and Agentic AI systems . You will work on designing, developing, and scaling state-of-the-art AI solutions that drive business innovation, operational intelligence, and customer experience transformation. This is a high-impact individual contributor role, focused on technical excellence and product-grade AI development. Key Responsibilities LLM & Cognitive AI Solution Development Architect and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, Mistral) using transfer learning, PEFT, and retrieval-augmented generation (RAG). Develop Agentic AI architectures with autonomous behavior and multi-agent collaboration capabilities. Apply prompt engineering , in-context learning , and tool former-style techniques to enable complex reasoning and task execution. Build Conversational AI systems using Transformer-based backbones and orchestration tools (LangChain, Haystack, Rasa, Semantic Kernel). Natural Language Processing (NLP) Design and implement advanced NLP pipelines for semantic search, summarization, NER, text classification, and knowledge extraction. Utilize and integrate tools such as SpaCy , BERT , RoBERTa , GloVe , Word2Vec , NLTK , and TextBlob . Conduct advanced text preprocessing, dependency parsing, sentiment analysis, tokenization, and multilingual NLP modeling. AI/ML Engineering Build scalable ML pipelines with FastAPI, gRPC, and RESTful interfaces. Containerize services using Docker and deploy to production environments via Kubernetes and cloud-native workflows. Integrate models into real-time and batch data systems, optimizing for latency, throughput, and reliability. Cloud & Infrastructure Develop and deploy solutions on AWS , Azure , or Google Cloud Platform (GCP) . Leverage services like SageMaker, Vertex AI, Azure ML Studio, and serverless orchestration tools. MLOps & CI/CD Design and maintain end-to-end MLOps pipelines using tools like MLflow, Kubeflow, or TFX for reproducibility and traceability. Automate model testing, monitoring, versioning, and rollback strategies in production. Big Data & Analytics Apply Spark, Hadoop, and Hive to process large-scale datasets efficiently. Perform complex data transformations and statistical modeling to extract actionable insights. Database & Data Engineering Interface with SQL and NoSQL systems (PostgreSQL, MongoDB, DynamoDB, etc.) for efficient data retrieval and processing. Design data schemas and optimize query performance for AI-centric applications. Cross-functional Collaboration Work closely with product managers, engineers, and domain experts to identify high-impact problems and deliver AI-driven solutions. Communicate findings and solution architectures clearly to technical and non-technical stakeholders. Technical Skills Expert in Python , PyTorch, HuggingFace Transformers, LangChain, and OpenAI/Anthropic/LLama APIs. Deep understanding of Transformer architectures , Attention Mechanisms , and LLM fine-tuning techniques . Familiarity with Agentic AI paradigms , including memory management, autonomous goal completion, and tool use. Strong experience with cloud platforms, container orchestration (Docker + Kubernetes), and deployment automation. Proficient in statistical modeling, probabilistic reasoning, and experimental design. Bonus Experience in Online Reputation Management (ORM) or product-centric platforms . Publications or open-source contributions in AI/ML/NLP.

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems