632 Gen Ai Jobs - Page 3

We are conducting an in-person hiring drive for the position of AIML Engineer in Hyderabad on 26th July 2025. Interview Location is mentioned below: Interview Location: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081. We are looking for an experienced and talented AIML Developer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI, ML, LangChain, LangGraph, Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: AIML Engineer Job Location: All Persistent Location Experience: 4 -12 Years Job Type: Full Time Employment What You'll Do: - Develop and fine-tune LLMs for real-world use cases - Build and optimize RAG pipelines using Langchain or similar tools - Integrate GenAI capabilities into enterprise applications - Hands-on Python coding experience - Work with vector databases and embedding techniques - Collaborate with cross-functional teams on AI-driven features We're looking for a skilled engineer with hands-on experience in LLMs, LangChain, and chatbot development. Expertise You'll Bring: - 4+ years of experience working with data science - Strong Python skills and familiarity with TensorFlow, PyTorch, and scikit-learn are essential - Basic understanding of Flask, Django, or FastAPI is a plus - Strong analytical, problem-solving, and troubleshooting skills - Ability to work independently and in a collaborative team environment - Cloud deployment knowledge on AWS, Azure, or GCP is a must You'll work on real-world GenAI applications in a collaborative, fast-paced environment. Stay updated with the latest in GenAI and contribute to innovative solutions. Benefits: - Competitive salary and benefits package - Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications - Opportunity to work with cutting-edge technologies - Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards - Annual health check-ups - Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: - Accelerate growth, both professionally and personally - Impact the world in powerful, positive ways, using the latest technologies - Enjoy collaborative innovation, with diversity and work-life wellbeing at the core - Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.,

This is a senior leadership position within the Business Information Management Practice, where you will be responsible for the overall vision, strategy, delivery, and operations of key accounts in BIM. You will work closely with the global executive team, subject matter experts, solution architects, project managers, and client teams to conceptualize, build, and operate Big Data Solutions. Your role will involve communicating with internal management, client sponsors, and senior leaders on project status, risks, solutions, and more. As a Client Delivery Leadership Role, you will be accountable for delivering at least $10 M + revenue using information management solutions such as Big Data, Data Warehouse, Data Lake, GEN AI, Master Data Management System, Business Intelligence & Reporting solutions, IT Architecture Consulting, Cloud Platforms (AWS/AZURE), and SaaS/PaaS based solutions. In addition, you will play a crucial Practice and Team Leadership Role, exhibiting qualities like self-driven initiative, customer focus, problem-solving skills, learning agility, ability to handle multiple projects, excellent communication, and leadership skills to coach and mentor staff. As a qualified candidate, you should hold an MBA in Business Management and a Bachelor of Computer Science. You should have 18+ years of prior experience, preferably including at least 5 years in the Pharma Commercial domain, delivering customer-focused information management solutions. Your skills should encompass successful end-to-end DW implementations using technologies like Big Data, Data Management, and BI technologies. Leadership qualities, team management experience, communication skills, and hands-on knowledge of databases, SQL, and reporting solutions are essential. Preferred skills include teamwork, leadership, motivation to learn and grow, ownership, cultural fit, talent management, and capability building/thought leadership. As part of Axtria, a global provider of cloud software and data analytics to the Life Sciences industry, you will contribute to transforming the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. Axtria values technology innovation and offers a transparent and collaborative culture with opportunities for training, career progression, and meaningful work in a fun environment. If you are a driven and experienced professional with a passion for leadership in information management technology and the Pharma domain, this role offers a unique opportunity to make a significant impact and grow within a dynamic and innovative organization.,

Python/Data Science/ML/AI JOB DESCRIPTION Role: Senior Data Scientist Location Pan India Exp: 6 yrs - 12 yrs Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. Technically Data scientists to produce project deliverables on time and with high quality. Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. Strong programming skills in Python. Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

Production Support Engineer 1) Must have production support experience & ITIL framework understanding such as incident management, monitoring tools etc. 2) Experience in supporting Power Apps/ Automate solutions with good understanding of underlying frameworks. 3) Exposure and experience in Power platform with core skillset around Power Apps, Power Automate, Data Verse, AI model 4) Developing/Debugging custom workflow solutions in power platform 5) Executing tests to ensure the accuracy and reliability of power platform solutions. 6) Knowledge on Azure services 7) Good understanding on integrations within the Power platform suite and with external connectors and services. 8) Desirable skill - Python, Gen AI, modelling. Must have:- Production support engineer with power apps, power automate, data verse , AI model along with python ,Gen AI ,modelling Location Gurugram Experience – 6 to 8 years

Description Design, develop, and deploy automation workflows using UiPath. Build and maintain services and APIs using .NET C# Develop scripts and automation tools using Python Design and optimize SQL queries and database structures in SQL Server Integrate and experiment with LLMs for automation and intelligent task handling Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions Qualifications Undergraduate degree or equivalent experience. Bachelors degree in Computer Science, Engineering, or related field. 3+ years of experience in software development and automation. Proficiency in UiPath, Python, .NET, and SQL Server. Understanding of Large Language Models (LLMs) and their application in real-world scenarios. Experience with REST APIs and version control systems like Git. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred Qualifications: UiPath Developer Certification. Hands-on experience with LLM APIs. Familiarity with prompt engineering and AI workflow design.

We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If youre passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workflows involving memory, planning, and decision-making tools. Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows. Apply NLP techniques to process and extract insights from unstructured legal data. Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB Key Requirements Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn. Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization. Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents. Skilled in building APIs using FastAPI and managing ML workflows with MLflow. Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases. Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments. Strong grasp of data structures, statistical modelling, and backend database architecture.

Role & responsibilities Dotnet, Dotnet Core, Azure, Gen AI(Lang chain/Vector Database/LLM Models/Azure AI Services/Agentic framework/Semantic Kernel/Swan Architecture)

You have 15 to 18 years of experience in managing service desk operations, with expertise in ITSM tools, automation tools, and a strong knowledge of ITIL processes. Your role involves analyzing process gaps in service desk operations and proposing effective solutions. You are also responsible for modernizing the ServiceDesk using AI technologies and showcasing transformation initiatives related to service desk and automation to customers. Additionally, you possess skills in both application and infrastructure automation, along with GenAI related automation expertise. As a Gen AI / Servicenow professional in the IT/ Computers - Software industry, your responsibilities will focus on IT-Software functions. A Bachelor's Degree is required for this full-time, permanent position. Key Skills: - AUTOMATION AI - GEN AI - SERVICENOW Job Code: GO/JC/495/2025 Recruiter Name: Mithra Dayalan,

You should have end-to-end project implementation and cross-functional stakeholder management experience, with a focus on agile project delivery. As a seasoned business analyst, you will be responsible for requirements analysis, requirements management, and documentation. It is important to have exposure to tools like JIRA, Confluence, as well as hands-on experience with SQL queries. Additionally, exposure to leading vendor products such as Actimize, Fircosoft, etc. would be beneficial. Experience in Data Science, Analytics, AI/ML, Gen AI, Data Management, Data Architectures, Data Governance, platforms, and applications is a plus. Virtusa is a company that values teamwork, quality of life, and professional and personal development. With a global team of 27,000 people, we are dedicated to supporting your growth and providing exciting projects, opportunities, and the chance to work with cutting-edge technologies throughout your career with us. At Virtusa, we believe in the power of great minds and great potential coming together. We foster a collaborative team environment and strive to offer a dynamic space where new ideas can flourish and excellence can be achieved.,

As a Product Owner at Barclays UK, you will be leading the evolution of business data within the business banking product and propositions domain. Your responsibilities will include developing, pricing, maintaining, and retiring all business banking products and propositions. You will be tasked with managing and developing both existing and new products and services, as well as owning related customer and colleague journeys. Your role will involve developing product strategies, driving change through Barclays execution teams, making key decisions in the product lifecycle, and owning associated outcomes for customers, colleagues, and the bank. This will be achieved through appropriate service level agreements, regulatory compliance, risk management, and controls. Effective stakeholder management, leadership, and decision-making skills will be essential to support business strategy and risk management. To be successful in this role, you should have experience in product/proposition delivery and development, including defining priorities and driving outcomes for propositions. Additionally, experience in driving and managing change initiatives, excellent collaboration and communication skills, and the ability to work effectively across teams and stakeholders are crucial. Desirable skillsets include functional and working knowledge of Gen AI, latest trends and applications of Gen AI in Banking ecosystems, experience with using Jira, monitoring KPIs, analyzing data to inform decisions, identifying trends to deliver valuable outcomes, producing results, user experience design, commerciality, product design life cycle, and analytical thinking. In this role located in Chennai, your purpose will be to manage and develop existing and new products and services, develop product strategies, drive change, make key decisions in the product lifecycle, and own associated outcomes for customers, colleagues, and the bank. Your accountabilities will include developing customer level strategies and solutions tailored to customer needs, acting as a Subject Matter Expert in the applicable Product/Proposition team, developing product propositions and/or service strategies, evaluating technical feasibility, legal compliance, and potential risks, monitoring market trends, and managing comprehensive launch plans and technical deployments for products. As an Assistant Vice President, you will be expected to advise and influence decision making, contribute to policy development, take responsibility for operational effectiveness, lead a team performing complex tasks, collaborate closely with other functions/business divisions, and demonstrate a clear set of leadership behaviors. For individual contributors, leading collaborative assignments, guiding team members, identifying new directions for assignments/projects, consult on complex issues, identify ways to mitigate risk, take ownership for managing risk, collaborate with other areas of work, engage in complex analysis of data, and communicate complex information will be key responsibilities. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

You have 5 to 7 years of experience and are located in Pune. Your skills include Proposal Development, deal closure, understanding client requirements, and market analysis. As part of your job responsibilities, you will work closely with the sales team to develop relevant solutions and pitches for prospects. You will own the entire proposal development process/execution and deliver well-structured and high-quality proposals with strong solutioning in a timely manner. It is important to coordinate efficiently with Sales and understand client requirements, address their queries, walk them through the proposed solution, and help Sales close the deal. Keeping track of solutions in the market for different sectors, identifying key business challenges, and unmet needs to help develop solutions is crucial. Additionally, you will actively work on creating case studies and collaterals for the sales team, review and improve existing collateral materials, and collaborate with Sales and the technology team to develop more materials based on the expected business pipeline. Moreover, you will assist the sales team lead in effectively coordinating between operations and sales team to ensure timely support for pre-sales activities. Streamlining and organizing all pre-sales activities across practice areas, setting up SLAs and process flows, and tracking compliance are also part of your responsibilities. Taking measures to improve the quality of proposals and setting up a process to collect feedback from Sales is essential. The desired profile for this position includes excellent communication skills, both written and oral, as well as excellent pre-sales and solutioning skills. You should be able to understand unstructured requirements from the client and create related SoW and proposals. Skills in storyboarding, problem-solving, and insights generation are a must. It is important to have proven client engagement skills and be adept at sharing insights and recommendations that have tangible business impacts. You should have the ability to engage with clients alongside the sales team and lead discussions to win and execute engagements. Experience working with a Mid-size IT services company with strong expertise in extensive research (market intelligence) is required. Knowledge of working with international clients, specifically in the US, is a must. Technology knowledge in areas such as Product Engineering, Web & Mobile, frontend technologies, Cloud technologies, Data engineering, AI/ML Solutions, and Gen AI is also necessary for this role.,

As an experienced professional in the field, you will be expected to demonstrate proficiency in a range of key areas. Your expertise should include statistical modeling, traditional machine learning, and Gen AI. Moreover, you should possess knowledge of various deep learning models such as LSTM, N-BEATS, CNN, and RNN. In addition, you are required to be well-versed in optimization techniques including linear programming and mix integer programming, along with familiarity with optimization tools like Opensolver and Gurobi. Your role will involve working with Data Bricks and Snowflake, engaging with ML/DL models, and interacting directly with business stakeholders and customer FTEs. Therefore, strong technological skills and effective communication are essential for success in this position. The must-have skills for this role include Time Series Modelling (LSTN, CNN, N-BEATS, RNN), proficiency in Data Bricks, statistical knowledge, Python programming, optimization expertise, as well as experience with Opensolver and Gurobi. Additionally, it would be beneficial to have experience with GenAI and Snowflake. The ideal candidate should have a minimum of 8-10 years of experience in the field, showcasing a deep understanding of the mandatory skills required for this role. Your ability to leverage your expertise in time series modeling, data manipulation, statistical analysis, and optimization tools will be instrumental in driving successful outcomes for the organization.,

As a Lead, Network Operations at Fiserv, you will be an integral part of the Network Operation Center (NOC) team. Your primary responsibility will involve monitoring and troubleshooting the hybrid Network Infrastructure for both external customers and internal users of Fiserv. Working in collaboration with internal technology teams, you will lead the technical efforts to identify, troubleshoot, and resolve infrastructure issues by gathering necessary facts and forensics. You are expected to adhere to the business requirements defined in standard operating procedures (SOP) and ensure a high level of collaboration with other technical teams to maintain agility within the delivery process. This role will be based at Fiserv India offices and will require working overlapping with US working hours, following a follow-the-sun model. Additionally, the role demands weekend work as part of the 365x12x7 support model. Key Responsibilities: - Monitor a diverse hybrid infrastructure using Fiserv's designated tools and collaborate with cross-functional tech teams to address and resolve network-related issues. - Engage with various network, firewall, and load balancing platforms such as Nexus, Arista, Versa, F5, Palo Alto, etc. - Participate in in-depth analysis of ongoing complex issues and provide insights to expedite problem resolution. - Proactively join technical bridge calls to gather essential information for investigating critical issues. - Contribute to planning meetings across departments to propose solutions for existing issues and suggest systemic or process enhancements. - Work with different vendors for circuit issues, including AT&T, Lumen, Verizon, Park Plaza, TATA, Airtel, among others. - Diagnose, troubleshoot, and escalate network problems promptly to ensure timely resolution. - Engage in automation initiatives to enhance operational efficiency and maturity. Key Requirements: - Solid understanding of LAN/WAN technologies and protocols like BGP, EIGRP, MPLS, HTTP, FTP, TCP, and Spanning Tree. - Experience in troubleshooting SD-WAN technologies. - Proficiency in configuring and independently troubleshooting Cisco Switches and Routers. - Familiarity with troubleshooting WAN and LAN connectivity issues. - Knowledge of BGP and EIGRP protocols is essential. - Understanding of load balancing concepts with specific knowledge of F5/Citrix Load balancers. - Working knowledge of Checkpoint, Juniper, Palo Alto Firewalls is advantageous. - Excellent oral, written, and analytical skills. Desired Skills: - Eagerness and ability to quickly adapt to new technologies necessary to achieve operational objectives. - Strong troubleshooting and analytical thinking capabilities. - Ability to exercise discretion and independent judgment. - Proficiency in scripting languages like Python for automation and utilizing Gen AI in Network Infrastructure. We appreciate your interest in joining Fiserv. To apply, please use your legal name, complete the step-by-step profile, and attach your resume. Thank you for considering a career with us. Please note that Fiserv does not accept resumes from agencies without existing agreements. Kindly refrain from sending resumes to Fiserv associates, as we are not responsible for any fees related to unsolicited submissions. Be cautious of fraudulent job postings that are not affiliated with Fiserv, as they may be used by cybercriminals to obtain sensitive information. Official communications from Fiserv representatives will originate from legitimate Fiserv email addresses.,

HCL is looking for technical expert with a deep knowledge in machine learning and Natural language processing. The individual will be working on a cutting edge research project working alongside with best in industry researchers in GEN AI, ML and NLP area. Job Title : GEN AI Tech Architect Location: Noida Role & Responsibilities Research, develop, optimize and productize for artificial intelligence and machine learning applications. Skills & Competencies In-depth knowledge of machine learning, text extraction and image processing techniques & Natural Language Processing. Desinging AI Solutions Experience in developing machine learning, text extraction and image processing algorithms, and optimizing the existing algorithms. Coding experience in Python. Experience in products like Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV or similar tools. Experience working with Cloud Services AWS, Azure etc. Takes ownership of self-professional development The desired candidate should be a quick thinker and should have a track record of high performance product development. Additionally, the candidate should be innovative, dedicated and result oriented. Research experience is preferred. Strong background in Math specially in statistics , modelling and matrices Qualification Experience 10 years Education Master’s Degree in Computer Science

Looking for Top Talent in Data Science healthcare Domain Immediate Joiner/30 Days Work From Office - 5 Days (Hebbal Location) Job Summary We are seeking a Senior Data Scientist Gen AI with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Senior Data Scientist Gen AI, youll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients. Key Responsibilities: The ability to design and develop ML, Gen AI, NLP, LLM Models for AI data pipelines. Model components will include data ingestion, preprocessing, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering . Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field 5-8 years of hands-on experience in data science, analytics, or machine learning roles Knowledge of ML Ops practices deploying and operationalize AI models. Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes). Demonstrated experience working with large datasets and statistical modeling Proficiency in Python or R for data analysis and machine learning Experience with SQL and database management systems Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 Experience with version control systems (Git) and collaborative development practices Strong foundation in statistics, hypothesis testing, and experimental designJD Template for Senior Data Scientist Gen AI Experience with supervised and unsupervised learning techniques Knowledge of data preprocessing, feature engineering, and model validation Understanding of A/B testing and causal inference methods Experience with cloud platforms and big data technologies such as Spark, Hadoop What Youll Need to Be Successful (Required Skills): Large Language Model (LLM) Experience : At least 5 years of hands-on experience working with pre-trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques. LLM experience should include Claude, Llama models.Understanding of RAG techniques is a critical skill. Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines

Role & responsibilities Work closely with internal leadership teams, global partner and alliance leads Drive partner. collaboration alongside client-facing teams by aligning partner capability Experience working with global technology partners for Automation Practice Program and project management. expertise Leverage data and insights to track the impact of partner programs and refine strategies Strong understanding of automation technologies, Agentic AI, Gen AI, process mining. Contact Person: Maheshwari Balasubramanian Email ID: maheshwari@gojobs.biz

Hi, Currently we are Hiring for Full-stack AI Engineer role. Interested candidates can apply for the role. Job Title: Full-Stack AI Engineer Experience: 2-6 Years Location: Pune The Role: As a Full-Stack AI Engineer, you will be involved in the entire software development lifecycle, from concept and design to development, testing, and deployment of AI-driven applications using Agile practices. You will collaborate with senior developers and AI specialists to build features, integrate AI models, and ensure our applications are robust and user-friendly. This is an excellent opportunity for a developer passionate about both full- stack engineering, modern deployment techniques, and the cutting edge of AI. Key Responsibilities: 1. Develop, test, and maintain full-stack applications, with a focus on integrating AI/ML functionalities, working within an Agile framework. 2. Work with AI technologies including LLMs, Generative AI, and Machine Learning models under the guidance of senior team members. 3. Contribute to the development of backend services and APIs using Python or Java. 4. Assist in building and refining front-end components for our applications. 5. Support database management and middleware integration tasks. 6. Utilize Docker for Containerization of applications and assist in deployment processes. 7. Gain hands-on experience with cloud services on Azure or AWS for application deployment and management. 8. Actively learn about and apply futuristic developments in AI and software engineering. 9. Utilize JIRA for tracking development tasks and Confluence for accessing and contributing to documentation. 10. Participate in project planning and execution, developing project management skills and contributing to team goals. 11. Get hands-on experience with our internal Purple Fabric AI platform and contribute to its application. Must-Have Skills & Experience: 1. 2-3 years of experience in full-stack software development. 2. Solid understanding and hands-on experience with AI concepts, including LLMs, Generative AI, and Machine Learning. 3. Proficiency in full-stack development, including front-end and back-end technologies. 4. Strong programming skills in Python or Java. 5. Experience with database technologies (SQL or NoSQL). 6. Familiarity with middleware concepts and API development/consumption. 7. Working knowledge of JIRA and Confluence. 8. Experience working with Docker and an understanding of Containerization principles. 9. Familiarity with cloud platforms, specifically Azure or AWS, and basic deployment concepts. 10. Experience or strong understanding of Agile development methodologies. 11. Developing project management skills with an ability to manage tasks and contribute to project timelines. 12. A strong desire to learn and keep up-to-date with futuristic developments in the AI field. 13. Eagerness to learn and work with the Purple Fabric AI platform. 14. Good communication and teamwork skills. Nice-to-Haves: 1. Experience with a modern front-end framework (e.g., React, Angular, Vue.js). 2. Experience with CI/CD tools. 3. Exposure to Kubernetes.

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

Position: AI ML GENAI Architect Experience: 9+ Years Location: Pune/ Kolkata / Indore Work Mode: Hybrid (3 Days WFO / 2 Days WFH) Position Overview: We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures. This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions. Mandatory Skills: GENAI, Generative AI, LLM, LangChain, LlamaIndex, TensorFlow, Prompt Engineering. Required Skills: Technical Expertise. Very good Skills in Python, Pandas, NumPy, SQL Excellent understanding of Machine Learning algorithms and metrics. Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools. Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud. Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, Crew.ai, Microsoft Autogen etc. Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop). Architecture Design Expertise in creating AI/ML solution blueprints and technical diagrams. Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent understanding in Gen AI frameworks and models. Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2. Prior experience in technical presales and building proposal Domain Expertise Preferred domain expertise in consumer/CPG/retail, supply chain Soft Skills: 1. Strong communication skills with the ability to present technical solutions to business leaders. 2. Proven ability to collaborate cross-functionally with technical and non-technical teams. 3. Problem-solving mindset with a focus on innovation and impact. Role Description: Solution Design & Architecture Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors. Develop comprehensive architecture diagrams and technology stacks tailored to business needs. Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities. Technical Implementation & Agentic Workflows Design and implement agentic workflows using LLMs to automate decision-making and complex processes. Build modular, scalable solutions that integrate with existing enterprise systems and tools. Ensure solutions are aligned with MLOps practices for robust deployment and monitoring. Prototyping & POCs. Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions. Test and refine LLM-driven workflows and agent-based models to meet business objectives. Presales. Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need. Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal.

Primary Skills (Must Have): Generative AI Expertise: Extensive experience in designing and implementing generative AI solutions, including knowledge of various generative models such as GANs, VAEs, and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis. Proficient in prompt engineering, fine tuning, agentic framework, GenAI SDKs Proficient in Python , Langchain, Langgraph, Pytorch or Tensorflow. Proficient in the Mathematics behind the AI/ML algorithms. MLOps is added advantage. Proficiency in basic and advanced RAG techniques, auto evaluations of RAG outputs Azure Proficiency: Profound understanding and hands-on experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure AI Foundary, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). Ability to leverage Azure's capabilities to architect end-to-end AI solutions and optimize performance. Architecture Design: Strong architectural skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes. Leadership and Collaboration: Exceptional leadership skills with the ability to lead cross-functional teams and drive architectural decisions. Proven experience in mentoring junior team members, conducting code reviews, and fostering a culture of innovation and collaboration. Problem-solving and Innovation: Strong analytical and problem-solving skills, with a track record of proposing innovative solutions to complex technical challenges. Ability to stay updated on emerging AI technologies, best practices, and industry trends to drive continuous improvement. Role & responsibilities : As a Gen AI Researcher, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Lead the design of architecture for generative AI solutions within the Azure/PCAI ecosystem. Collaborate with project managers, data scientists and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions. Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning. Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes. Optimize AI models and systems for performance, scalability, and efficiency. Conduct regular code reviews and provide technical guidance to junior members of the team. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments. Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.