Key Responsibilities : Design, develop, and deploy machine learning models and AI solutions that address complex business challenges, particularly within the AEC domain. Build scalable, production-grade AI/ML pipelines, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Ensure that deployed models are reliable, maintainable, and scalable while optimizing their performance in production environments. Develop APIs or microservices for integrating AI/ML models into business solutions. Optimize AI/ML workflows by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Maintain adherence to data privacy, security, and ethical AI standards throughout the lifecycle of AI/ML models. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required Skills and Abilities: Strong expertise in building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Proficiency in programming languages such as Python or R, with a strong understanding of libraries and tools for data science and machine learning. Experience with MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Familiarity with distributed computing frameworks like Apache Spark and scalable AI/ML training techniques. Expertise in domain-specific AI techniques such as Natural Language Processing (NLP), computer vision, and predictive analytics. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Excellent interpersonal and presentation skills to build strategic relationships with colleagues, stakeholders, and partners. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and nontechnical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications: Bachelors degree. 6 years of related experience. Equivalent additional related experience will be considered in lieu of a degree.

Data Scienctist (MRF00718) - J48913 ROLE: Data Scientist Data Scientist who would be involved in analyzing large data set, identifying patterns, design prompt to extract relevant entities using Generative AI technologies. Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Company`s Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Company`s Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B.Tech/MCA/M.Sc/MCM/M.Tech/Phd Requirement details: Self-Motivated, Dynamic & result oriented Professional Specialization in Data Science Experience in AI projects, including familiarity with AI and machine learning frameworks (PyTorch, LLMs, NLP, Computer Vision, GenAI). Strong understanding of deep learning concepts and their applications in NLP and Computer vision. Proficiency in Supervised Algorithms. Expertise in Model evaluation and metrics. Working knowledge of generative AI and hands on experience of LLM frameworks. Excellent Programming (Python) skills Excellent Data pre-processing and data cleaning skills. Working knowledge on Fine-tuning and transfer learning Expertise in Cloud computing platforms (AWS, Azure). Expertise in Data visualization. Good to have patents or research papers in ML/AI. Having good Statistics and AI experience will be a plus. Quick learner who exhibits resiliency and tenacity in the face of challenge. Ability to interact with diverse group within and outside of the organization. Agile management tools knowledge - DevOps/JIRA/TFS etc. Required Candidate profile Candidate Experience Should Be : 4 To 8 Candidate Degree Should Be : BE-Comp/IT,BE-Other,BTech-Comp/IT,BTech-Other,MCA,MCM,MCom,MCS,ME-Comp/IT,ME-Other,MIS,MIT,MMS,MSc-Comp/IT,MS-Comp/IT,MSc-Other,MS-Other,MTech-Comp/IT

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production. Strong knowledge of Python or R Programming experience with Node.js, SQL, Java, JavaScript OR PERL Experience in cloud-based data platforms on AWS, GCP and Azure Understanding of multi-tier application architectures Ability to develop, test and maintain programming environments and architectural standards Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket) Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo Experience on code quality assessment tools and integration with CI tool Strong logical structuring and problem-solving skills Strong verbal, written and presentation skills Preferred Additional Experience in using Spark either with Scala or Python Experience with different database types like RDS and NoSQL Experience in cloud deployments Knowledge of working in a Linux environment Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS Experience in Docker /Swarm / Kubernetes Experience or exposure to Test Driven Development Experience (Junit / TestNG) Experience on Behavior Driven Development Experience (Cucumber / Selenium) Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI Experience with real time data movement solutions that use security and encryption protocols while data is in transit

Prompt Engineer Job Summary: Prompt Engineer, Gen AI, GPT 4, Python, NLP, Azure. Prompt engineers having AI and NLP AI models and Python skills Expertise in Prompt Engineering worked on GPT4 and other variants of GPT model Developing testing and refining AI generated text prompts Collaborating with content product and data teams to align prompts with the user needs Continuously improving prompt quality performance and the overall AI prompt generation process Prompt tuning in context Learning Prompt modification Python GenAI Engineer Job Summary: AI Engineer, Gen AI, NLP, Python, RAG, Azure, ML, Deep Learning AI Engineer, Python and GenAI Developed multiple products features Deep Learning, NLP, Graph analytics, Cognitive search, Image Process Automation, LangGraph and LangSmith Expertise in building services to scale the AI model capabilities Python Azure function SQL DB Cognitive search Evaluation Metrics RAGAS Advance RAG AI/ML+ RAG Engineer Job Summary: Machine Learning & NLP, RAG & Text-to-SQL, Azure Cloud, Model Optimization & Fine-Tuning, Python (LangChain, LlamaIndex),Data Analytics & SQL Develop and optimize AI models for business-specific use cases. Perform data analysis, feature engineering, and model training. Implement and fine-tune NLP and machine learning algorithms. Evaluate model performance and ensure continuous improvements. Work with engineers to deploy models in production environments.

Ideal qualifications, skills and experiences we are looking for are: - We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 3 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch. 1. Above 6 yrs team leading and handling projects with end-to-end ownership is a must 2. Deep understanding of ML and Deep Learning is a must 3. Basis NLP experience is highly valuable. 4. Pyspark experience is highly valuable. 5. Competitive coding experience (LeetCode) is highly valuable. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

Python, Statistics, Data Science, Machine Learning, NLP, Deep Learning, AzureExperience: 4+ years, Minimum of 5 years of experience in a data science role with a focus on tree-based machine learning models Required Candidate profile Notice Period: 0- 30 days Education: BE, B.Tech, ME, M.Tech, MCA

Job description We are seeking a skilled and experienced Data Scientist to join our dynamic team. As Data Scientist, you will play a critical role in driving high-impact data science projects. Responsibilities: Develop and implement advanced machine learning and deep learning models for Data processing, natural language processing, computer vision. Machine Learning lifecycle: data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment, and end-to-end workflow management Knowledge of statistical programming languages like Python, Pandas, Numpy etc. Basic knowledge of query language like SQL. Utilize expertise in statistics, ML to extract valuable insights from complex data sets. Should have knowledge working with libraries like TensorFlow, PyTorch, scikit-learn, NLTK etc. Proven experience in Generative AI. Proven track record of successfully delivering complex data science projects. Work collaboratively with cross-functional teams to identify data science opportunities and provide innovative solutions. Deploy data science models in the form of APIs on Azure Kubernetes Service (AKS) to ensure smooth integration with existing systems. Stay updated with the latest advancements in data science, AI, and related fields, and apply them to enhance our capabilities. Qualifications: Bachelor's or Master' degree 10+ years of industry experience in data science, with a strong background in data processing, deep learning, natural language processing and generation, computer vision and statistics.

Must have: Gen AI, Agentic AI, Computer Vision, Tensorflow, Pytorch.. etc.. Proficiency in programming languages such as Python, with hands on experience in AIML libraries, Gen AI, Cloud ML, Vertex AI services and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of Gen AI, Agentic AI, Prompt engineering, AIML concepts, algorithms, and techniques. Experience with data preprocessing, feature engineering, and data visualization. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience deploying AIML models in cloud environments. Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies. Excellent communication and collaboration skills to work effectively in cross-functional teams. Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously. Good to have handson experience with NLP projects Responsibilities: Design and develop AIML models, algorithms, and applications to solve complex business problems. Collaborate with data scientists and subject matter experts to understand business requirements and translate them into AIML solutions. Implement and optimize AIML algorithms and models using programming languages such as Python, R, or Java. Conduct data preprocessing, feature engineering, and data exploration to ensure the availability of high-quality data for training and evaluation. Evaluate and benchmark different AIML models, frameworks, and tools to identify the most suitable solutions for specific use cases. Train, validate, and fine-tune AIML models using various techniques such as deep learning, reinforcement learning, and natural language processing. Deploy AIML models in production environments, ensuring scalability, performance, and reliability. Collaborate with software engineers to integrate AIML solutions into existing applications or develop new applications. Stay up-to-date with the latest advancements in AIML technologies, research papers, and industry trends. Provide technical guidance and support to junior team members and promote knowledge sharing within the COE team.

Greetings from Getronics! We have permanent opportunities for AI Engineers in Chennai Location . Hope you are doing well! This is Abirami from Getronics Talent Acquisition team. We have an interesting opportunity for AI Engineers for our automotive client in Chennai Sholinganallur location. Please find below the company profile and Job Description. If interested, please share your updated resume, recent professional photograph and Aadhaar proof at the earliest to abirami.rsk@getronics.com. Company : Getronics (Permanent role) Client : Automobile Industry Experience Required : 4+ Years in IT and minimum 3+ years in Artificial Intelligence - Chatbots Location : Chennai (Elcot - Sholinganallur) Work Mode : Hybrid Position Description: We are seeking a AI Specialist/Engineer focused on building and deploying AI-powered Copilots, intelligent agents, and chatbots . In this role, you will leverage your expertise in AI techniques such as natural language processing (NLP), generative AI, and cognitive automation to develop solutions that enhance user experience, automate tasks, and provide intelligent assistance. You will be responsible for understanding business requirements, designing and implementing AI models, and deploying them. This is an opportunity to make a direct impact on our AI initiatives within a focused timeframe. Key Responsibilities: 1. Copilot and Agent Development: Design, develop, and deploy AI-powered Copilots and intelligent agents to automate tasks, provide proactive assistance, and enhance user productivity. 2. Chatbot Creation: Build and deploy chatbots using NLP techniques to provide conversational interfaces for various applications, including customer support, information retrieval, and task completion. 3. Requirements Gathering: Understand business requirements and translate them into technical specifications for AI models and applications. 4. AI Model Development: Develop and fine-tune AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation, and enable self-service capabilities. 5. Integration and Deployment: Integrate AI solutions with existing systems and deploy them in a production environment. 6. Experimentation and Optimization: Perform experimentation to evaluate the performance of AI models and optimize them for accuracy, efficiency, and scalability. Skill Required: Knowledge in developing and deploying AI solutions using techniques such as natural language processing (NLP), generative AI, and cognitive automation. • Proven experience in building and deploying chatbots and/or intelligent agents • Proficiency in programming languages such as Python, R, or similar languages commonly used in AI development. • Exposure to AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn • Exposure with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying AI models in a production environment. Experience Required: Experience in chat bot development and Co-Pilot Experience in using Python LOOKING FOR IMMEDIATE TO 30 DAYS NOTICE CANDIDATES ONLY. Regards, Abirami Getronics Recruitment team

As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders. You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities

Overview of the Role: We have an outstanding opportunity for an expert AI and Data Cloud Solutions Engineer to work with our trailblazing customers in crafting ground-breaking customer engagement roadmaps demonstrating the Salesforce applications, platform across the machine learning and LLM/GPT domains in India! The successful applicant will have a track record in driving business outcomes through technology solutions, with experience in engaging at the C-level with Business and Technology groups.' Responsibilities: Primary pre-sales technical authority for all aspects of AI usage within the Salesforce product portfolio - existing Einstein ML based capabilities and new (2023) generative AI Majority of time (60%+) will be customer/external facing Evangelisation of Salesforce AI capabilities Assessing customer requirements and use cases and aligning to these capabilities Solution proposals, working with Architects and wider Solution Engineer (SE) teams Building reference models/ideas/approaches for inclusion of GPT based products within wider Salesforce solution architectures, especially involving Data Cloud Alignment with customer security and privacy teams on trust capabilities and values of our solution(s) Presenting at multiple customer events from single account sessions through to major strategic events (World Tour, Dreamforce) Representing Salesforce at other events (subject to PM approval) Sales and SE organisation education and enablement e.g. roadmap - all roles across all product areas Bridge/primary contact point to product management Provide thought leadership in how large enterprise organisation can drive customer success through digital transformation. Ability to uncover the challenges and issues a business is facing by running successful and targeted discovery sessions and workshops. Be an innovator who can build new solutions using out-of-the-box thinking. Demonstrate business value of our AI solutions to business using solution presentations, demonstrations and prototypes. Build roadmaps that clearly articulate how partners can implement and accept solutions to move from current to future state. Deliver functional and technical responses to RFPs/RFIs. Work as an excellent teammate by chipping in, learning and sharing new knowledge. Demonstrate a conceptual knowledge of how to integrate cloud applications to existing business applications and technology. Lead multiple customer engagements concurrently. Be self-motivated, flexible, and take initiative.| Required Qualifications: Experience will be evaluated based on the core proficiencies of the role. 4+ years working directly in the commercial technology space with AI products and solutions. Data knowledge - Data science, Data lakes and warehouses, ETL, ELT, data quality AI knowledge - application of algorithms and models to solve business problems (ML, LLMs, GPT) 10+ years working in a sales, pre-sales, consulting or related function in a commercial software company Strong focus and experience in pre-sales or implementation is required. Experience in demonstrating Customer engagement solution, understand and drive use cases, customer journeys, ability to draw Day in life of across different LOBs. Business Analysis/ Business case/return on investment construction. Demonstrable experience in presenting and communicating complex concepts to large audiences A broad understanding of and ability to articulate the benefits of CRM, Sales, Service and Marketing cloud offerings Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification, and closing techniques. Continuous learning demeanor with a demonstrated history of self enablement and advancement in both technology and behavioural areas. Preferred Qualifications: expertise in an AI related subject (ML, deep learning, NLP etc.) Familiar with technologies such as OpenAI, Google Vertex, Amazon Sagemaker, Snowflake, Databricks etc

Python Developer |Backend Python Developer || Back-end Developer with Python Financial Services ||AWS+PYTHON+SQL Competencies: Python, Django, Relational database understanding (viz: PostgreSQL, SQL), ETL, Database design, Strong experience in designing REST APIs, Cache, Redis, Celery, CI/CD, GCP, Kubernetes, and Docker. Responsibilities: Innovate, build, and invent on behalf of our customers. Plan, execute and maintain entire products/features that millions of customers will experience. Ability to design and code the right solutions, starting with broadly defined problems Drive best practices and engineering excellence. Work with other team members to develop the architecture and design of new and current systems. Work in an agile environment to deliver a high-quality Product. Requirements: Qualifications: B.E./B.Tech./M.E./M.Tech. from Tier-I engineering colleges with a background in backend technology A minimum of 01 years of solid backend project experience, as well as a relevant backend engineering internship with a technology company, is a bonus. Proficiency in a minimum of one advanced language, ideally Python Django experience is highly desirable Strong knowledge in data management, REST API design, and relational databases exceptional ability to solve problems Possess an excellent grasp of the fundamental concepts in computer science, including databases, object-oriented design, data structures, and algorithms. Compensation: We offer market-leading compensation, based on the skills and aptitude of the candidate.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. We are seeking an experienced Salesforce AI Architect with over 10 years of expertise in implementing and designing solutions around AI and machine learning. The ideal candidate will be responsible for architecting and leading AI-driven initiatives within the Salesforce platform. You will play a critical role in engaging with clients, providing technical leadership, and delivering scalable AI solutions. This role involves leading pre-sales discussions, designing advanced AI solutions, and overseeing successful project execution. Key Responsibilities: 1. Pre-Sales and RFPs: Engage with clients to identify their AI and Salesforce needs and align business objectives with Salesforce Einstein AI capabilities. Lead technical discussions during pre-sales engagements, showcasing Salesforce Einstein AI expertise, its benefits, and strategic value. Develop and deliver presentations, demos, and proofs of concept on Einstein AI capabilities that resonate with client-specific challenges. Contribute to the creation of RFP responses, providing in-depth technical solutions, architecture design, and implementation strategies to win new projects. 2. Estimations and Proposals: Analyze project requirements and client needs to provide accurate effort estimations and timelines for AI-driven Salesforce implementations. Develop comprehensive technical proposals and solution blueprints, aligning with client expectations, budget constraints, and business requirements. Collaborate with the sales team to deliver competitive proposals that ensure technical feasibility while meeting business goals and maximizing Salesforces AI potential. 3. Training and Knowledge Sharing: Lead the development and delivery of training programs on Salesforce Einstein AI features for internal teams, clients, and stakeholders to enhance AI adoption. Create and maintain a comprehensive knowledge base of best practices, AI implementation methodologies, and technical documentation for ongoing reference and learning. Mentor and guide technical teams, providing them with the necessary tools and insights to effectively utilize Salesforce Einstein in client projects. 4. Discovery and Design: Lead discovery sessions with clients to gather business requirements and design AI-driven Salesforce solutions that align with organizational goals. Architect scalable, robust AI solutions using Salesforce Einstein AI features such as Einstein Prediction Builder, Einstein Vision, and Einstein Discovery. Ensure that technical solutions are not only effective but also meet the clients business objectives and are scalable for future needs. 5 . Project Ownership and Execution: Take ownership of the end-to-end technical delivery of AI projects, ensuring that Salesforce Einstein AI features are successfully implemented. Oversee the technical team, guiding them throughout the project lifecycle, ensuring the delivery of high-quality AI solutions on time and within budget. Monitor project progress, proactively address technical challenges, and ensure timely resolution of any issues to deliver optimal outcomes for clients. 6. Collaboration with Other Business Units: Collaborate with other business units, including project management, development, and support teams, to ensure seamless execution of AI projects. Foster strong relationships with cross-functional teams to streamline project workflows, encourage teamwork, and drive success across the organization. 7 . Continuous Improvement: Stay updated with the latest advancements in Salesforce Einstein AI, machine learning, and relevant technologies to ensure solutions remain cutting-edge. Contribute to the development of best practices and AI solution methodologies within the organization to maintain a competitive edge in AI implementations. Identify opportunities for process improvements and AI innovation, driving advancements in how AI is integrated into Salesforce environments. Key Qualifications: Bachelors/ Masters degree in Computer Science, AI/ML, Data Science, or a related field. 10+ years of experience in the IT Industry with at least 6 plus years relevant experience in Data Science or AI related technologies. Strong pre-sales experience, including technical presentations, RFP responses, and solution design, with a focus on AI-driven Salesforce project Ability to lead the design and architecture of scalable AI solutions tailored to business needs and future growth. Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Demonstrated experience in crafting prompts for generative AI, with a portfolio of examples ranging from simple to complex scenarios Ability to translate technical AI concepts into practical applications for non-technical teams. Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI) Strong foundation in AI/ML algorithms, with experience in generative AI techniques such as Large Language Models (LLMs) Good understanding of data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads. Extensive experience providing accurate estimations, creating detailed technical proposals, and aligning project outcomes with business objectives. Strong communication skills with the ability to effectively communicate AI/ML solutions to both technical and non-technical stakeholders. Proven experience in managing the technical delivery of AI projects, with a focus on Salesforce Einstein, ensuring projects are delivered on time and meet high-quality standards. Experience leading cross-functional teams, providing training, and sharing knowledge on best practices and AI methodologies Architect certifications from recognized university Experience in a Generative AI environment, focusing on application development in Gen AI. Experience in data preprocessing and feature engineering for AI model training. Understanding of neural network architectures and optimization techniques for generative models. Familiarity with deploying AI models into production, with a readiness to learn and adapt. Commitment to staying updated with the latest generative AI research and techniques. Prior experience in industries like financial services, retail, or healthcare with a focus on AI-driven customer insights and optimization. Preferred Skills : Proven expertise in Salesforce Einstein AI (Einstein Prediction Builder, Einstein Discovery, Einstein Vision, and CRM - A , Einstein Chatbot, Einstein Copilot , Einstein Studio , Sales and Service Einstein Features ) and its applications within Salesforce. Hands-on experience with Apex,LWC for building custom AI solutions within Salesforce. Experience in Python , TensorFlow, or PyTorch for developing ML models Experience in Data Cloud or Snowflake or any other DataLake Solutions which can be integrated with Salesforce. Experience with integration tools for connecting AI models to Salesforce. NLP, image recognition, and predictive analytics experience within Salesforce ecosystems. Experience with database technologies like Oracle, SQL, PostgreSQL, or BigQuery is a plus. Exposure to front-end design or UI development for integrating AI features is a plus. Working knowledge of cloud platforms (AWS, Azure, GCP) with an interest in cloud-based AI solutions is a plus. Salesforce Certifications - AI Associate and Architect Certifications .

Looking for immediate joiners for a Data Scientist -Hyderabad Location-Permanent postion-Hybrid Model Role & responsibilities: 6-8 years of professional experience as a Machine Learning Engineer or a similar role, with a focus on NLP and chatbot development. Strong understanding of machine learning algorithms, statistical modeling, and predictive analytics. Develop and implement advanced statistical and machine learning models to solve complex problems Proficiency in programming languages such as Python and libraries like scikit-learn, TensorFlow, or PyTorch. Preferred candidate profile : Mentor junior data scientists, providing guidance in chatbot development, data science, computer vision, NLP, and Generative AI techniques. Design, develop, and deploy machine learning models for data science tasks like sentiment analysis, intent recognition, and chatbot development, improving customer interactions and business operations. Build and maintain sophisticated chatbot systems using cutting-edge NLP frameworks, ensuring accurate, efficient, and scalable conversational interactions with users. Implement machine learning techniques for dialogue management, conversation flow, and response generation in chatbots, enhancing natural and dynamic interactions. Leverage Generative AI models to enable chatbots and systems to reason, understand context, and make intelligent, human-like decisions across text, audio, and visual inputs. Develop advanced NLP models and data science algorithms for chatbots to extract insights, sentiment, and entities, personalizing responses based on user interactions. Apply computer vision techniques to improve chatbot capabilities, such as incorporating image recognition or visual data analysis within chatbot conversations. Conduct data pre-processing, feature engineering, and data augmentation to improve the performance and robustness of chatbot systems, data science models, and AI-driven applications. Stay current with advancements in data science, NLP, computer vision, machine learning, and Generative AI to ensure the integration of the latest techniques into chatbot solutions. Collaborate with data engineers to design and optimize data pipelines for processing large-scale data from text, images, and video, enabling efficient chatbot performance. Use Generative AI to create synthetic data for training chatbot systems, enhancing data science workflows, and improving the chatbots ability to handle diverse conversational scenarios. Communicate complex technical concepts clearly to both technical and non-technical stakeholders, ensuring alignment across teams to develop effective, customer-focused solutions.

Youll create impact by: Apply Generative AI & NLP Techniques Utilize state-of-the-art Generative AI and NLP techniques to extract insights from large volumes of data with different modalities such as text, image, charts, graph, video, sound, 2D Drawing, 3D geometry, code & logs. Work on various Generative AI applications such as text generation, retrieval-augmented generation (RAG) systems, Q&A systems, and recommendation engines tailored for business and industrial contexts. Develop Innovative AI Applications with Agentic AI workflows Collaborate with cross-functional teams to create and enhance Agentic AI capabilities, including developing skill-based agents for specific tasks in industrial use cases. Fine-tune and benchmark Generative AI models using domain-specific datasets, focusing on performance improvement, reliability, and scalability. Implement and evaluate modality-specific encoder models (text, image, audio), optimizing them for specific industrial applications. Brainstorm and propose new application use cases for Generative AI in industrial setups, such as predictive maintenance, process optimization, and intelligent automation. Contribute to creating intellectual property (IP) and publish research findings in top-tier journals and conferences. Collaborate and Contribute in a fast-paced Environment Work effectively in an agile, dynamic team environment, delivering technical implementations with complex dependencies and requirements. Commitment to ethical AI practices, including bias mitigation, fairness, transparency, and data privacy. Strong collaboration skills to work with cross-functional teams and non-technical stakeholders. Youd describe yourself as: PhD/Masters/bachelors degree in computer science, Data Science, Artificial Intelligence, or a related field from a reputed institute. Experience: 2-5 years of experience in Generative AI, NLP, and related AI technologies, including model fine-tuning and evaluation. Technical Expertise: Solid understanding of Generative AI models and NLP techniques, including RAG systems, text generation, and embedding models. Exposure to Agentic AI concepts, agent development and frameworks Hands-on experience with Generative AI, machine learning tool, libraries and frameworks Knowledge of modality-specific encoder models (e.g., text, image, audio). Familiarity with data standardization and Knowledge Graphs (good to have). Analytical Mindset: Strong problem-solving skills with the ability to design and implement novel AI solutions. Dedication to continuous learning and staying updated on the latest Gen AI advancements. Excellent communication skills and the ability to work collaboratively in a team.

Role & responsibilities Strong in python, Machine learning, Deep learning, Natural language processing, Gen AI, Image processing, Document AI, OCR technology Frame Works: TensorFlow,Pytorch, Hugging face, Spacy, OpenCV, Regex API: Fast API, Tornado Database: Postgres, Mongo OS RHEL, Ubuntu Jenkins Pipeline, Docker, Kubernetes, Ansible Automation platform, Git, GitHub, shell/python scripts and Linux Fundamentals

Position: AI SEO & GEO Specialist Location: Coimbatore Experience Level: 4+ Job Summary We are seeking a highly skilled AI SEO & GEO Specialist to lead our efforts in optimizing digital content for both traditional search engines and emerging AI-driven search technologies. This role will focus on enhancing our online visibility by implementing cutting-edge Search Engine Optimization (SEO) techniques while pioneering Generative Engine Optimization (GEO) strategies to align content with AI language models like ChatGPT, Google Gemini, and other AI search engines. The ideal candidate will have a deep understanding of digital marketing, SEO tools, and AI technologies, with a passion for staying ahead of the curve in AI-driven content discovery. Key Responsibilities Develop and execute SEO strategies to improve organic search rankings across Google, Bing, and other search engines. Design and implement Generative Engine Optimization (GEO) strategies to optimize content for AI-driven search engines. Research and analyze search trends, AI search engine behaviors , and natural language processing (NLP) patterns. Create structured content frameworks (FAQ pages, How-To guides, Knowledge bases) aligned with AI models' content preferences. Optimize content using schema markup (JSON-LD, FAQ Schema, HowTo Schema) to enhance machine understanding. Generate content, design to produce AI-friendly, high-quality content . Monitor AI-generated search results and provide insights on how content is being surfaced by AI models. Stay updated on emerging AI search technologies and provide training to internal teams. Conduct keyword and prompt research specifically tailored for conversational AI queries. Track and report performance metrics for both SEO and GEO campaigns. Skills & Qualifications Proven experience in SEO strategy, content optimization, and technical SEO . Strong understanding of AI search engines and large language models like ChatGPT, Google Gemini, and Perplexity. Experience with structured data markup and schema.org implementations. Familiarity with Natural Language Processing (NLP) concepts and tools. Hands-on experience with SEO tools like: Google Search Console Google Analytics Ahrefs SEMrush Surfer SEO Screaming Frog Moz AI Content Tools: ChatGPT Jasper Writesonic Copy.ai Knowledge of JSON-LD and content structuring for machine readability . Strong analytical skills with the ability to translate insights into actionable strategies. Excellent communication and collaboration skills. Nice to Have Experience working with LLM APIs like OpenAI, Gemini API, or Anthropic. Background in Information Architecture or Knowledge Graphs .

Objectives of this role Develop and implement solutions/processes and carry out R&D (Research and Development) to meet the needs of our AI/ML strategy. Help in design and development of advanced analytic solutions across functional areas as per requirement/opportunities. Foster innovative ideas for developing high impact solutions. Responsibilities As part of the R&D team, help the team to advise leaders on a broad range of technology, strategy associated with AI (Artificial Intelligence) & ML Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, and support procedures, in collaboration with the team. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Work as team members, develop & assess the AI/ML and automation opportunities. Enable team members/as individual contributors to make necessary changes in product performance or presentation. Develop new and innovative AI/ML based solutions and PoC (Proof of Concept) Must have skills. 6-10 Years of experience in IT including 3+ years in developing / applying ML /AI models to practical and comprehensive technology solutions. Must be graduate in Computer Science preferably B. Tech/B.E. or MCA etc. Experience with ML, deep learning, TensorFlow, Python, NLP, Azure services. Knowledge of basic algorithms, object-oriented and functional design principles, and best- practice patterns. Experience in API development/consumption. NoSQL/RDBMS database design and optimizations. Open and willing to learn & work in any technology. Good to Have Skills Good to have knowledge of any other programming and/or scripting language. Exposure to Cloud technology like AWS (Amazon Web Services) / GCP (Google Cloud Platform). Experience with visualization tools (e.g., Power BI, Tableau etc.) Experience in Healthcare sector e.g. RCM

Role Overview: About the Role: We seek a talented Data Scientist to join our Email Security team and help build cutting-edge solutions to detect and mitigate email-borne threats such as phishing, vishing, business email compromise (BEC), malicious attachments, etc. This role will be instrumental in developing data-driven models that enhance our ability to detect sophisticated attacks, improve automation, and proactively safeguard our customers. About the Role: Design, develop, and implement data-driven models to detect and prevent email-based security threats. Analyze large datasets of email communications to identify patterns, anomalies, and emerging threats. Leverage behavioral pattern detection techniques to identify suspicious email activities and attack vectors. Collaborate with security researchers, engineers, and threat intelligence teams to improve detection capabilities and reduce false positives. Monitor, evaluate, and refine models to maintain high detection efficacy and adapt to evolving threats. Develop and optimize feature extraction techniques tailored to identifying malicious emails, attachments, and URLs. Work closely with software engineering teams to integrate data models into production systems. Participate in cross-functional meetings, providing insights based on data analysis findings and contributing to proactive defense strategies. Maintain and enhance data pipelines for training, deploying, and monitoring analytical models. Stay current with advancements in data science, artificial intelligence, and cybersecurity to continuously improve detection methodologies. About You: Total 10+years experience in software development with 5+ years of strong programming skills in Python, with experience in data science libraries such as TensorFlow, PyTorch, or Scikit-learn. 5+ years of experience working with large-scale datasets and data processing frameworks (e.g., Spark, Hadoop, or SQL-based databases). 3+ years of experience developing and deploying AI-driven models, with expertise in anomaly detection, NLP, and behavioral analysis. Familiarity with reinforcement learning or adversarial data science techniques applied to cybersecurity. Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment and monitoring. Strong analytical and problem-solving skills, with the ability to translate security challenges into data science solutions. Excellent communication skills, with the ability to work collaboratively in cross-functional teams. Bachelors or Masters degree in Computer Science, Data Science, Cybersecurity, or a related field. Preferred Qualifications: Experience in cybersecurity or working with threat intelligence teams. Knowledge of advanced NLP techniques for analyzing email content and metadata. Understanding of email security threats, including phishing, BEC, and malware distribution tactics. Familiarity with email protocols (SMTP, IMAP, MIME) and cybersecurity frameworks. Contributions to open-source cybersecurity or data science projects. Excellent inter-personal and teamwork skills Above all, the right passion and attitude to solve new challenges Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement

Skills : Python, building RESTful with Python FastAPI, SQL/NoSQL databases designing, ML algorithms, Python, NLP, Cloud based AI/ML services (AWS Preferred), MLOps experience Required Candidate profile GIT, Devops, web technology solutions including HTTP/HTTPS protocols and WebSocket APIs.Experience: At least 3.5+ years of relevant experience as a Python Backend Engineer.Notice Period: 0-30 days

Skills: NLP, Programming skills in Python and proficiency in deep learning frameworks such as TensorFlow or PyTorch, machine learning concepts, model evaluation, and hyperparameter tuning. data preprocessing, cleaning, and augmentation Required Candidate profile Experience: 3.5 years of Proven experience in building and fine-tuning GPT-based models, with a focus on NLP tasks Notice Period: 0-15 days

Level/Seniority: Mid-Level Years of Experience: 4+ years in AI/ML model development Responsibilities: • Design, develop, and deploy AI/ML models (GenAI and NLP focused). • Optimize and fine-tune AI models, ensuring performance and scalability. • Collaborate closely with Data Scientists for model integration. Required Skills: • Python, TensorFlow, PyTorch, NLP frameworks. • Experience with Generative AI platforms (OpenAI APIs, Hugging Face). • Familiarity with cloud platforms (Azure, AWS, GCP), Kubernetes. Nice to Have: • Familiarity with LangChain, LlamaIndex. • Experience in model fine-tuning, prompt engineering. Education: • Bachelor's/Master's in Computer Science, AI, or related.

Level/Seniority: Senior Architect Years of Experience: 15+ years total, 6+ years in AI Responsibilities: • Architect scalable, secure, high-performance GenAI architectures and integrate with enterprise systems. • Lead selection, fine-tuning, and deployment of generative AI frameworks (GPT-4, Llama, Claude, Gemini). • Define data collection, sanitization, and preparation strategies for model training. • Guide innovation through emerging technologies like LangChain, CrewAI, LlamaIndex, Semantic Kernel. • Provide thought leadership and mentorship to technical teams and stakeholders. • Ensure ethical and responsible AI deployment, compliance with data privacy and AI governance. Required Skills: • Advanced Python, Apache Spark. • Expert in LLMs (OpenAI GPT, Claude, Gemini, Llama) and transformer models. • Containerization: Kubernetes, Docker. • Cloud platforms: Azure/AWS/GCP, Azure DevOps, CI/CD pipelines. • Strong in LLMOps and model deployment tools. • Exceptional leadership, communication, strategic thinking. Nice to Have: • Experience with Datadog, Splunk. • Relevant certifications in solution architecture. Education: • BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA

Full Stack Developer(NextJS/Fastjs) Experience: 3 - 5 Years Exp Salary : USD 18,000-30,000 / year Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : CI/CD, Dialogflow, fastjs, GraphQL, Next.js, oauth, Restful APIs Good to have skills : Chatbot Analytics, headless cms, Firebase, GCP, NLP, TypeScript Steer Health (One of Uplers' Clients) is Looking for: Full Stack Developer(NextJS/Fastjs) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Full stack Developer About the Role We're seeking a passionate and skilled Full Stack Developer with strong experience in Next.js, GraphQL, FastJS, and Dialogflow to join our growing team. In this role, you'll be building scalable web applications and intelligent conversational interfaces that deliver exceptional user experiences. Key Responsibilities Design, develop, test, and maintain robust frontend and backend features using Next.js, GraphQL, and FastJS Integrate Dialogflow conversational flows with backend services and third-party APIs Collaborate closely with UI/UX designers and backend engineers to bring wireframes and APIs to life Optimize performance and ensure a seamless user experience across devices and browsers Write clean, maintainable, and scalable code following industry best practices Participate in code reviews, daily stand-ups, and agile ceremonies Implement and uphold application security and data protection standards Must-Have Skills 3+ years of hands-on experience in full stack web development Deep expertise in Next.js, including SSR, ISR, and API routes Strong working knowledge of GraphQL and FastJS Proven experience with Dialogflow (CX/ES) and backend service integrations Solid understanding of RESTful APIs, Webhooks, and asynchronous data flows Proficient with Git, Docker, and CI/CD pipelines Familiarity with modern authentication methods (OAuth, JWT, etc.) Nice-to-Have Skills Experience with TypeScript Exposure to Cloud Functions, Google Cloud Platform (GCP), or Firebase Familiarity with chatbot analytics and NLP tuning Experience with headless CMS or modern content platforms Benefits Competitive salary and benefits Flexible working hours and remote-friendly culture Opportunities to work with cutting-edge AI and web technologies A supportive, collaborative, and inclusive team environment Continuous learning and career growth opportunities Engagement Model- Direct Contract with client This is remote Role. Shift Timing-10 AM-7 PM IST Interview Rounds 3 rounds How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Steer Health transforms healthcare with the industry's most widely adopted Al-fueled patient experience and growth. At Steer Health, we're creating next-generation consumer engagement experiences with solutions spanning care communication, patient engagement, scheduling, smart notifications, and more. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Primary Responsibilities: Model Deployment: Design, code, and implement software solutions that deploy GENAI models like RAG, Agentic workflows, AI agents into production environments, ensuring scalability and reliability Data Analysis: Investigate and analyze large-scale computing frameworks and data analysis systems to derive actionable insights Stakeholder Communication: Clearly present complex analytics results and concepts to leadership and internal stakeholders, facilitating informed decision-making Cloud Development: Develop and deploy robust data pipelines and machine learning models on cloud platforms such as Azure, AWS, GCP, and Databricks, ensuring optimal performance and security AI/ML Techniques: Employ advanced AI and ML techniques, including natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR) Deep Learning Applications: Apply deep learning technologies to enable systems to visualize, learn, and respond to complex scenarios effectively. Interactive Experiences: Adapt machine learning methodologies for applications in artificial intelligence, robotics, and other interactive user experiences Model Observability: Utilize model observability tools to gain insights into the behavior, performance, and health of deployed ML models, including tracking, alerting, and compliance monitoring MLOps Skills: Implement best practices in machine learning operations (MLOps) to streamline workflows and enhance collaboration Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so