847 Nlp Jobs - Page 6

As a Senior Data Scientist / AI Engineer with 8-10 years of experience, you will be a vital part of our team working on developing an AI-enabled ERP solution. Your primary responsibilities will include designing scalable AI models, implementing ML pipelines, and exploring the latest AI technologies to drive innovation. Additionally, you will play a crucial role in managing and mentoring a team of data scientists and AI engineers to foster a collaborative and efficient work environment. Your key responsibilities will involve designing and building AI models from scratch, optimizing machine learning algorithms, and integrating them into our ERP solution. You will also be responsible for developing and maintaining an AI development and deployment pipeline using cloud and containerized solutions. Furthermore, conducting R&D activities to identify opportunities for AI-driven automation, working on sentiment analysis, NLP, and computer vision tasks, and deploying ML models while ensuring seamless integration into production systems will be part of your role. Collaboration with product teams to align AI strategies with business objectives, leading and mentoring a team of data scientists and AI engineers, and fostering a collaborative team culture are essential aspects of this role. Your expertise in Python and ML frameworks, strong understanding of ML algorithms, experience with deep learning architectures, NLP, and computer vision, along with hands-on experience in deploying AI models using Flask APIs, Docker, and Kubernetes are critical for success in this position. Preferred skills include knowledge of Java, experience with software development best practices, understanding of SDLC, version control, CI/CD pipelines, and experience with Big Data technologies. If you are passionate about working with AI-driven products and have a proven track record of solving real-world challenges, we are excited to hear from you! This is a full-time position located in Trivandrum/Kochi, with a remote option available initially. If you have a minimum of 8 years of experience in AI, Machine Learning, or Data Science roles, and have worked on AI model deployment or building AI pipelines, we encourage you to apply. Leadership and team management experience, along with the ability to guide and develop junior team members, are essential requirements for this role. Your strong problem-solving skills, ability to articulate AI concepts effectively, and experience in interacting with clients to communicate AI-driven solutions will be highly valued.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

As a Lead AI/ML Researcher, your primary responsibility will be to spearhead the research, design, and development of cutting-edge AI and ML models that power an innovative AI-driven no-code development platform and a scalable AI inference and training orchestration system. Your role involves building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features that align with business objectives. You will be tasked with designing and implementing state-of-the-art machine learning and deep learning models for Natural Language Processing (NLP), computer vision, and generative AI that are relevant to the field of no-code AI coding and AI orchestration platforms. Additionally, you will develop, optimize, and fine-tune large-scale models, including transformer-based architectures and generative models. It will be crucial for you to architect and oversee end-to-end machine learning pipelines encompassing data processing, training, evaluation, deployment, and continuous monitoring. Collaboration with software engineering teams will be essential to ensure the successful productionization of models, focusing on factors such as reliability, scalability, and performance. Your role will also involve researching and integrating cutting-edge AI techniques and algorithms to uphold product competitiveness. Leading AI research efforts to contribute to intellectual property generation, patents, and academic publications will be a key aspect of your responsibilities. Moreover, you are expected to provide technical leadership and mentorship to junior AI/ML team members and collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features. Keeping abreast of AI research trends and technologies and evaluating their applicability, as well as ensuring compliance with data privacy and security standards in AI model development, will be integral to your role. Additionally, possessing experience with AI-driven no-code platforms, familiarity with AI workflow orchestration frameworks, knowledge of probabilistic modeling and uncertainty quantification, hands-on experience with MLOps tools and practices, familiarity with cloud platforms and container orchestration, contributions to open-source AI projects or patent filings, understanding of AI ethics and data privacy compliance, and a strong academic research background with publications in top-tier AI/ML conferences are considered advantageous skills. Qualifications for this role include a PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning. A strong research publication record in reputable AI/ML conferences, demonstrated experience in developing and deploying deep learning models, proficiency in NLP and/or computer vision, hands-on experience with Python and ML frameworks, experience in building scalable ML pipelines, and knowledge of distributed training, GPU acceleration, and cloud infrastructure are highly desirable. Excellent problem-solving, analytical, and communication skills, along with prior experience in mentoring or leading junior AI researchers/engineers, will be beneficial for this position.,

As a Python Developer specializing in Web Scraping and Data Processing, you will play a crucial role in a core team dedicated to aggregating biomedical content from a variety of sources. With over 3 years of experience, you will be responsible for developing scalable Python scripts to extract and parse biomedical data from diverse web platforms, including grant repositories, scientific journals, conference abstracts, treatment guidelines, and clinical trial databases. Your key responsibilities will include building robust modules to split multi-record documents into manageable content units, implementing NLP-based field extraction pipelines using libraries like spaCy and NLTK, and designing automated data acquisition workflows utilizing tools like cron, Celery, or Apache Airflow. You will ensure efficient storage of parsed data in both relational (PostgreSQL) and NoSQL (MongoDB) databases, with a focus on optimal schema design for performance and scalability. Additionally, you will be responsible for maintaining robust logging, thorough exception handling, and comprehensive content quality validation throughout all data processing and scraping workflows. To excel in this role, you should possess a strong command over web scraping libraries such as BeautifulSoup, Scrapy, Selenium, and Playwright. Proficiency in PDF parsing libraries like PyMuPDF, pdfminer.six, and PDFPlumber, as well as experience with HTML/XML parsers (lxml, XPath, html5lib) are essential. Familiarity with regular expressions, NLP concepts, advanced field extraction techniques, SQL, NoSQL databases, and API integration (RESTful APIs) is also required. Experience with task schedulers, workflow orchestrators, version control using Git/GitHub, and collaborative development environments will be beneficial. While not mandatory, exposure to biomedical or healthcare data parsing, cloud environments like AWS, data validation frameworks, and understanding of ontologies and taxonomies will be advantageous in this role. Join us in this exciting opportunity to contribute to cutting-edge data processing and scraping projects in the field of biomedicine and healthcare.,

As a Jr. Software Engineer (AI ML) at SynapseIndia, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. With a focus on AI/ML, you will play a crucial role in designing, developing, and deploying machine learning models and AI algorithms using Python and relevant libraries. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field. Additionally, having 0-2 years of professional experience in Python programming with a specialization in AI/ML is essential. Your strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, along with a solid understanding of machine learning algorithms, neural networks, and deep learning will be highly valuable. Furthermore, your proficiency in data manipulation libraries such as Pandas, NumPy, and data visualization tools like Matplotlib, Seaborn, as well as experience with cloud platforms like AWS, GCP, Azure, and deploying ML models using Docker, Kubernetes will be beneficial. Any familiarity with NLP, Computer Vision, or other AI domains will be considered a plus. Your responsibilities will include collaborating with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. You will be optimizing and scaling machine learning pipelines and systems for production, performing data preprocessing, feature engineering, and exploratory data analysis, and implementing and fine-tuning deep learning models using frameworks like TensorFlow, PyTorch, or similar. Additionally, you will be expected to conduct experiments, evaluate model performance using statistical methods, write clean, maintainable, and well-documented code, mentor junior developers, participate in code reviews, and stay up-to-date with the latest AI/ML research and technologies. Ensuring seamless model deployment and integration with existing infrastructure will also be part of your role. If you are a proactive individual with strong problem-solving skills, the ability to work independently and collaboratively, excellent communication skills, and familiarity with REST APIs, microservices architecture, version control systems like Git, MLOps best practices and tools, distributed computing, and big data tools like Spark or Hadoop, we encourage you to apply for this exciting opportunity at SynapseIndia. Join us and be a part of our dynamic team where your contributions are recognized and rewarded, and where you can grow both personally and professionally in a structured, eco-friendly workplace that prioritizes the well-being and job security of its employees.,

We are looking for a passionate and self-motivated AI Intern to join our team at ARK Infosoft. This internship opportunity is perfect for fresh graduates or final-year students who are enthusiastic about applying their knowledge of Artificial Intelligence, Machine Learning, and Data Science to real-world projects. As an AI Intern, you will have the chance to collaborate closely with senior developers and data scientists on a variety of AI-driven applications and innovations. Your responsibilities will include assisting in the design, development, and testing of machine learning models, as well as collecting, cleaning, and preprocessing datasets. Additionally, you will be involved in supporting the implementation of AI models into existing systems or proof-of-concepts, conducting literature reviews, and documenting technical research findings. Collaboration with cross-functional teams on various AI and software projects is also a key aspect of this role, along with staying up-to-date with the latest AI tools, libraries, and research. The ideal candidate should have a basic understanding of AI/ML concepts, algorithms, and applications, along with familiarity with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Strong analytical and problem-solving skills, good communication abilities, and a willingness to learn and take initiative are essential for success in this position. Preferred qualifications that would be nice to have include knowledge of deep learning, NLP, or computer vision, experience with Git, Jupyter Notebooks, or cloud platforms (e.g., Google Colab, AWS), and participation in AI/ML hackathons, Kaggle competitions, or relevant academic projects. Joining our team at ARK Infosoft, you can look forward to a supportive work environment with benefits such as 5-day working week, paid leave, all leave encashment, health insurance, festival celebrations, employee engagement activities, great workspace, and an annual picnic. Our mission at ARK Infosoft is to empower businesses to grow by providing personalized IT solutions through leveraging the latest technologies, prioritizing our customers, and continually seeking innovative ways to improve. We strive to be the most trusted partner in our clients" journey towards digital advancement, dedicated to excellence, integrity, and social responsibility, creating lasting value for our clients, employees, and communities. Our vision is to establish ARK Infosoft as a leading IT company known for delivering creative solutions that help businesses succeed in today's digital world. We aim to be the preferred partner for all IT needs, fostering growth and prosperity in every industry we serve through innovation, collaboration, and sustainability. Our goal is to drive positive global impact, enabling businesses to thrive in the digital age and shaping a brighter tomorrow for all.,

OneOrigin is an innovative company based in Scottsdale, AZ and Bangalore, India, dedicated to utilizing the power of AI to revolutionize the operations of Higher Education institutions. Their cutting-edge software solutions aim to streamline administrative processes, enhance student engagement, and facilitate data-driven decision-making for colleges and universities. As an AI Developer at OneOrigin in Bangalore, you will be responsible for creating and implementing advanced AI-driven solutions to empower intelligent products and optimize business operations across various domains. Working closely with data scientists, software engineers, product teams, and stakeholders from different departments, you will design scalable AI systems using cutting-edge machine learning techniques to address complex challenges. Your responsibilities will include designing, developing, and deploying sophisticated AI/ML models for real-world applications, leveraging AI frameworks like TensorFlow, PyTorch, Keras, and Hugging Face Transformers. You will also explore Generative AI applications, manipulate large datasets using tools such as Pandas, NumPy, SQL, and Apache Spark, and deploy scalable AI services using Docker, FastAPI/Flask, and Kubernetes. Collaboration with cross-functional teams to integrate AI solutions into products, drive experimentation, implement automation opportunities, and stay updated on AI advancements will be key aspects of your role. You are required to have a Bachelor's degree in Computer Science, Engineering, or a related field, along with 5-8 years of hands-on experience in AI/ML development. Proficiency in Python, experience with Deep Learning, NLP, Computer Vision projects, and Cloud platforms (AWS, GCP, Azure) is essential. Your strong problem-solving skills, communication abilities, and expertise in API development will be crucial for successfully tackling complex challenges and collaborating effectively across diverse teams and departments. Join OneOrigin in their mission to make AI accessible and impactful for higher education institutions!,

As a Senior AI Engineer with over 5 years of experience, you will be responsible for leading the design, development, and deployment of advanced AI systems. Your expertise in LLMs, ML pipelines, model optimization, and real-time deployment will be crucial in successfully scaling AI systems in production. Additionally, you will play a key role in fine-tuning large language models, optimizing training pipelines, and owning the end-to-end lifecycle of AI projects from data to deployment. In this role, you will evaluate third-party models and tools to recommend best-fit solutions, collaborate with cross-functional teams to align AI efforts with product goals, and lead junior developers while contributing to architectural decisions. Your strong understanding of NLP, deep learning, and large-scale model architectures, coupled with your proficiency in Python, PyTorch/TensorFlow, and data engineering tools, will be essential in designing and optimizing ML pipelines for performance and scalability. Preferred skills for this role include experience managing AI teams or mentoring juniors, working knowledge of Retrieval-Augmented Generation (RAG) and embeddings, as well as familiarity with CI/CD, Docker, and cloud deployment pipelines. If you are looking for an opportunity to work in Mumbai, Maharashtra, and can join immediately, we invite you to apply for this challenging and rewarding position as a Senior AI Engineer.,

As an AI Developer specializing in Large Language Models (LLMs) at RMgX, a Gurgaon based digital product innovation & consulting firm, your role involves designing, developing, and deploying AI solutions using LLMs such as GPT, LLaMA, Claude, or Mistral. You will fine-tune and customize pre-trained LLMs for business-specific use cases, build and maintain NLP pipelines for classification, summarization, semantic search, etc., and create and manage vector database pipelines using tools like Milvus and Pinecone. Collaboration with cross-functional teams to integrate LLM-based features into applications and analyzing model performance to enhance outcomes will be key responsibilities. To excel in this role, you should have at least 12 years of experience in AI/ML development with a specific focus on NLP and LLM-based solutions. Proficiency in Python and AI/ML libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc., is essential. Additionally, practical experience in working with closed-source models via APIs (e.g., OpenAI, Gemini), understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus, or Pinecone, and deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) are required. Familiarity with MLOps and version control tools (Git, MLflow, etc.), as well as knowledge of LLMOps platforms like LangSmith, Weights & Biases, will be advantageous. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred. Strong problem-solving skills, attention to detail, and the ability to work in an agile environment are crucial for success in this role. In return for your expertise and dedication, RMgX offers various perks and benefits, including flexible working hours, weekends off, health insurance, personal accident insurance, BYOD (Bring Your Own Device) benefit, and a laptop buyback scheme. Join us at RMgX to contribute to the creation of elegant, data-driven digital solutions for complex business problems and make a meaningful impact through your AI development skills.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

The ideal candidate should have a minimum of 5-10 years of experience in data science with a strong proficiency in Python programming. Additionally, the candidate should have at least 4 years of experience in Machine Learning/Natural Language Processing (NLP), with a minimum of 1.5 years in Large Language Models (LLM) & Generative AI (GenAI) technologies. Proficiency in database management for at least 2 years is required, along with 1+ years of experience in cloud deployment of ML models/Python applications on Azure or AWS. Familiarity with LLMOps is considered a plus. As a part of the role, the candidate will be responsible for leading the development, deployment, and optimization of ML, NLP, and LLM/GenAI solutions. This includes the development and maintenance of Python-based ML pipelines, as well as managing associated databases. The candidate will also be tasked with deploying AI models on Azure/AWS, ensuring performance and scalability. Additionally, the candidate will be expected to stay updated on advancements in ML, NLP, and GenAI technologies and provide mentorship to team members. Implementing LLMOps best practices for efficient model lifecycle management will also be a key responsibility.,

You should hold a Bachelors degree in a technical or quantitative field from an accredited college or university. A Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. Additionally, you should have at least 7 years of relevant experience in Generative AI and NLP. Your background should include a strong mathematical foundation, enabling you to comprehend algorithms and methodologies from both a mathematical and intuitive perspective. Key Skills and Experience required for this role include excellent communication skills, stakeholder management abilities, and the capacity to translate problem statements into analytical approaches. Proficiency in Python programming is essential. You should possess robust experience in Machine Learning and forecasting, with a track record of working on actual projects for application purposes. Specialization in GenAI and NLP is crucial, including extensive knowledge in retrieval augmented generation and a proficient understanding of transformer architecture and traditional NLP techniques. Furthermore, you should be proficient in creating APIs for backend systems. A keen interest in research, staying updated with the latest advancements in GenAI, and a willingness to develop and experiment with your own approaches are highly valued for this role.,

You possess experience in direct sales of IT solutions and services, specifically within a hunting role in the U.S. market. You will be responsible for performing in-depth market research to identify industry segments that could benefit from AI-driven digital and business solutions. You will need to develop and articulate compelling value propositions based on AI technology and industry insights to engage potential clients. Understanding and addressing the specific challenges of clients/leads, demonstrating how AI solutions can optimize and automate Operations, Conversations, Digital Experience, Customer Experience, and Employee Experience is crucial. Your responsibilities will include executing targeted lead generation campaigns through outreach, content marketing, and industry events to attract prospects. You will work closely with the Global Business Development team for smooth lead hand-off and maintain relationships with key stakeholders in target organizations through customized presentations and demonstrations of AI capabilities. Efficient tracking, progress monitoring, and data accuracy will be done using CRM and lead management tools. Key Responsibilities: 1. Inside Sales: - Proactively identify and generate new business opportunities through outbound calls, emails, and lead nurturing. - Follow up on inbound inquiries and leads generated from marketing campaigns. - Build and manage a pipeline of prospective clients by understanding their needs and offering tailored solutions. - Achieve and exceed monthly/quarterly sales targets and KPIs. 2. Client Handling: - Maintain a professional relationship with existing clients, ensuring excellent customer service and satisfaction. - Conduct discovery calls to understand client requirements and provide appropriate solutions. - Manage and resolve client inquiries, complaints, or issues promptly. - Work closely with CTO, CTO, CEO, VP, Operations Manager, Sales Director management, and service delivery teams to ensure a seamless client experience. Required Skills and Qualifications: - Bachelors degree in Business, Marketing, or a related field. - Proven experience in inside sales, telesales, or client engagement. - Excellent verbal and written communication skills. - Strong negotiation and persuasive skills. - Ability to build rapport and foster relationships over the phone and in virtual meetings. - Experience with CRM tools such as Salesforce, HubSpot, or Zoho. Key Attributes: - Highly motivated and target-driven. - Strong problem-solving and analytical skills. - Team player with a proactive and positive attitude. - Ability to multitask and manage time effectively. What We Offer: - Competitive salary with performance-based incentives. - Opportunities for career growth and professional development. - A collaborative and dynamic work environment. - Health and wellness benefits.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,

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.

About the Role: We are looking for a highly skilled AI/ML Developer to join the core product team of QAPilot.io. The ideal candidate should come from a product-based or AI-first company, with a strong academic background from institutes like IITs, NITs, IIITs, or other Tier-1 engineering colleges. You will work on real-world AI problems related to test automation, software quality, and predictive engineering. Key Responsibilities: Design, build, and deploy machine learning models for intelligent QA automation Work on algorithms for test case optimization, bug prediction, pattern recognition, and data-driven QA insights Apply techniques from supervised/unsupervised learning, NLP, and deep learning Integrate ML models into the product using scalable and production-ready code Continuously improve model performance through experimentation and feedback loops Collaborate with full-stack developers, product managers, and QA experts Explore LLMs, transformers, and generative AI for advanced test data generation and analysis Required Skills & Qualifications: B.Tech / M.Tech / MS in Computer Science, Data Science, or related fields from IIT/NIT/IIIT or other top-tier institutes 3+ years of experience as an AI/ML Developer, preferably in product or AI-centric companies Strong proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch) Experience in NLP, LLMs, or generative AI (preferred) Hands-on with ML lifecycle: data wrangling, model training, evaluation, and deployment Familiarity with MLOps tools like MLFlow, Docker, Airflow, or cloud platforms (AWS/GCP) Prior exposure to software testing, DevOps, or developer tooling is a plus Strong analytical skills, attention to detail, and curiosity to solve open-ended problems Portfolio, GitHub, or project links demonstrating AI/ML expertise are desirable Why Join QAPilot.io: Work on an innovative AI product transforming the software QA ecosystem Join a high-impact, product-oriented engineering culture Solve challenging AI problems with real user value Collaborate with top talent from the tech and AI ecosystem Competitive salary, learning-focused environment, and growth opportunities To Apply: Please send your updated resume and any supporting links (GitHub, projects, publications).

Lead data science team to deliver ML/NLP solutions. Build scalable models using Python, ensure data governance, collaborate across teams, and present insights. Requires expertise in ML, NLP, Python, data visualization, and strong leadership.

Senior AI Engineer Experience: 4 - 9 Years Exp Salary: Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: NLP AND LLMs AND Python AlphaSense (One of Uplers' Clients) is looking for: Senior AI Engineer About the Role: Job Description: About AlphaSense: The worlds most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: AlphaSense is seeking a passionate Senior AI engineer to join our AI & Search mission. This cluster of teams is responsible for developing cutting edge deep learning, NLP, search, and next-generation Generative AI platform powering AlphaSense’s AI & Search product features. As part of this team, you will collaborate with talented engineers to deliver scalable solutions for our world-class AI-powered search platform. What You’ll Do: Architect, design, and implement highly scalable services for AlphaSense AI and Search products. Improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments. Deploy AI and Search services to both SaaS and single-tenant cloud environments. Translate product requirements into software architectures in collaboration with Product Management. Solve challenges that come along with working with large language models (high latency, variance, etc.), leading to a defensive, fault-first mindset. Provide technical leadership and implement best practices for software development. Who You Are: Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale. Extremely proficient in Applied LLM/NLP, developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, back-end web frameworks like FastAPI. Hands on experience building and deploying Open Source and Commercial LLMs like Llama, Claude etc., deep understanding of Prompt Engineering. Deep, hands-on experience across a few back-end web frameworks like FastAPI, Django, Sanic etc. Experience in leading teams and/or projects in a full-stack environment. Excellent communication, organizational, problem-solving, debugging, and analytical skills. Experience designing large-scale software systems and writing high-quality code and tests. Which includes handling error cases, asynchronous code, streaming data, caching, logging and analytics for understanding behavior in production. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure. Experience in deploying AI and search services (e.g. vector search) to single-tenant cloud environments. Knowledge of modern development practices, including CI/CD pipelines and automated testing frameworks. Experience in optimizing the performance and cost of cloud services. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud: We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! 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!

NTT DATA is looking for a Salesforce Developer- Agentforce,Experience cloud to join their team in Pune, Maharashtra (IN-MH), India. As a Senior Salesforce Developer, your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features for Sales & Experience cloud. You will collaborate with architects and AI engineers to design solutions for predictive analytics, customer insights, and automation. Integrating third-party applications and data sources with Salesforce via APIs will be a key aspect of your role. You will work closely with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. This includes implementing automated workflows and intelligent data-driven decision systems within Sales Cloud and Experience Cloud. You will be responsible for designing and developing scalable solutions in Salesforce Agentforce and Experience Cloud environments, building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. Furthermore, you will design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management via REST/SOAP APIs, middleware (e.g., MuleSoft, Boomi), or event-driven architectures. Developing custom components, templates, and branded sites within Experience Cloud to support self-service and agent experiences will also be part of your responsibilities. Gathering requirements from stakeholders and translating them into technical solutions, maintaining and optimizing data models, sharing rules, and user roles for different Experience Cloud personas, and ensuring best practices in coding, testing, and DevOps deployment strategies are also key aspects of the role. Troubleshooting production issues, providing ongoing support for Salesforce-based applications, participating in Agile ceremonies, and maintaining technical documentation are part of the responsibilities as well. To be successful in this role, you should have 7+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, data integration using REST APIs, handling large datasets within Salesforce, machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, AI governance, model explainability, data ethics, and leveraging structured and unstructured data for ML and NLP solutions are required qualifications. Preferred skills include Salesforce certifications in Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate, experience in Salesforce Data cloud, Salesforce Agentforce, Apex, Lightning Web Components (LWC), SOQL, Flow Builder, integrating Salesforce with external systems, designing and managing Experience Cloud sites, and Salesforce certifications like Platform Developer I/II, Experience Cloud Consultant, Integration Architecture Designer. Join NTT DATA, a trusted global innovator of business and technology services, and be part of a diverse team committed to helping clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews, and processing of all AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains included in AI development. We are seeking candidates with a passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities: - Work in or lead an agile team to design and build architectures on AI solutions. - Engage proactively with customers to better understand their needs and obtain feedback. - Acquire and develop technology agnostic reference architectures across AI Security Architecture. - Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps. - Develop vendor-agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI, etc. - Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. - Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. - Develop Technology design and program planning to bring in value-added solution delivery and ensure strategic alignment and long-term business benefits. - Engage in grooming security analysts and solution architects to bring in a holistic perspective in every solution delivery. - Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. - Develop scalable algorithms capable of learning, analyzing, and predicting future events. - Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. - Devise, develop, and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. - Ability to perform in-depth data analysis including but not limited to: Machine Learning, Classification, Optimization, Time Series analysis, Pattern Recognition. Candidate must have a thorough understanding and experience in the following in terms of AI and AI Security: Threat models, Security analysis, Design and integration into AI and ML infra, Some familiarity with the offensive perspective on AI attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills: - 5+ years of experience as an Architect with skills in AI and AI Systems. - 3+ years working with languages Python and SQL. - 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.). - 5 or more years of experience presenting and delivering results to business partners and leadership. - 2 or more years of experience in Cyber Security domain knowledge. - Strong project management, negotiation, and interpersonal skills. - Advanced written and verbal communication skills and presentation skills. - Bachelor's and/or postgraduate degree in computer science, information systems, engineering, or a related major. Preferred: - Certifications in data science, deep learning, and ML. - Exposure to Generative AI and NLP. - Experience in multi-cloud. - 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.). - 2 or more years with modern data engineering with APIs. - 2 or more years of experience in Cyber Security domain knowledge. - M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. - 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As an AI/ML & GenAI Developer Intern at ArgyleEnigma Tech Labs working on the FinDocGPT project, you will be part of a groundbreaking initiative to make complex financial documents easily understandable for millions of Indians. This internship opportunity offers a stipend ranging from 8,000 to 12,000 INR per month for a duration of 6 months, starting immediately. At FinDocGPT, we are dedicated to leveraging cutting-edge AI/ML and GenAI technologies to provide a transformative solution that bridges the financial literacy gap in India. Our product, FinDocGPT, is India's first AI-powered assistant that decodes intricate financial documents into simple, regional language, covering areas such as health insurance, loans, and mutual fund terms and conditions. Supported by Google for Startups and the Reserve Bank Innovation Hub, we are on a mission to empower individuals by offering financial information in a language they understand. As an AI/ML & Generative AI Developer Intern, you will have the opportunity to gain hands-on experience in deploying GenAI models, NLP pipelines, and ML-based document processing. Your responsibilities will include working on document classification, NER, and summarization using advanced LLMs such as LLaMA, Mistral, Groq, and open-source models. Additionally, you will preprocess, clean, and structure financial documents in various formats like PDFs, scans, and emails. Collaborating with the product and design teams, you will contribute to building smart and user-friendly interfaces. To excel in this role, you should possess a strong understanding of Python, NLP, and basic ML concepts. Familiarity with transformers like BERT, T5, or GPT architectures is essential. Experience, even in an academic setting, with HuggingFace, LangChain, or LLM APIs is preferred. Knowledge of Google Cloud, AWS, or Docker would be a bonus. We are looking for individuals who are eager to learn, experiment quickly, and create a tangible impact. By joining us, you will receive direct mentorship from industry experts with backgrounds in companies such as Morgan Stanley, PIMCO, and Google. You will gain real-world exposure to AI applications tailored for the Indian market and have the opportunity to transition into a full-time role based on your performance. Your work will directly contribute to enhancing financial inclusion in India. To apply for this internship, please send your CV, GitHub/portfolio, and a brief statement explaining why you are interested in this role to info@argyleenigma.com or apply via https://tinyurl.com/hr-aetl with the subject line "Internship Application - FinDocGPT." This internship is based in Gandhinagar, Gujarat, and requires in-person work. The expected start date is 01/08/2025.,

As a Software Developer, you will be responsible for designing, developing, modifying, debugging, and maintaining software systems. Your role will involve working on specific modules, applications, or technologies, handling sophisticated assignments throughout the software development process. Your responsibilities will include owning specific modules within applications, providing technical support and guidance during solution design, presenting software product demos to partners and customers, investigating issues by reviewing/debugging code and providing solutions, and bringing continuous improvements to software or business processes through automation and innovative techniques. Key responsibilities will involve working with LLMs such as Lama, Gpt, and others, handling GenAI use cases, developing cloud jobs for data ingestion, creating partnerships with project stakeholders, and implementing Gen AI use-cases in live production. Mandatory technical skills required for this role include experience in deep learning engineering, strong NLP/LLM experience, proficiency in Python & Terraform programming, building backend applications using Python and deep learning frameworks, deploying models and building APIs, experience with GPUs, and working knowledge of vector databases and transformers. Good to have technical skills include knowledge and experience in Kubernetes, Docker, cloud experience with VMs and Azure storage, and sound data engineering experience. In terms of behavioral skills, you should demonstrate good communication with clients and operational managers, strong problem-solving abilities, the capacity to build relationships, adaptability, prioritization skills, the ability to anticipate problems and solutions, an innovative approach, and willingness to work in shifts/extended hours.,

As a Data Scientist specializing in Natural Language Processing (NLP), Computer Vision, Generative AI, and IoT data processing, you will play a pivotal role in the development and optimization of cutting-edge AI solutions at Comsense Technologies in Mumbai, India. Your primary responsibilities will include designing, building, and fine-tuning machine learning models for various AI applications, such as text generation, summarization, image synthesis, and IoT data analysis. Your expertise in deploying AI models on cloud (Azure) and edge environments will be crucial for ensuring scalability, security, and high availability. You will be responsible for developing robust monitoring systems to track model performance and data drift in production environments. Additionally, your role will involve collaborating with cross-functional teams, including product managers, IoT engineers, and software developers, to deliver end-to-end AI solutions. To excel in this role, you must possess strong proficiency in Python, SQL, and Azure cloud services. Experience with CI/CD pipelines, model monitoring, and performance optimization is essential. Moreover, familiarity with ML frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs, as well as data pipeline tools like Airflow, will be advantageous. Your background in IoT protocols, real-time data processing frameworks, containerization using Docker, and orchestration with Kubernetes will be beneficial for integrating AI solutions into IoT ecosystems. With a solid understanding of MLOps best practices, you will be able to implement scalable AI solutions on cloud architecture effectively. If you have hands-on experience with edge deployment technologies, speech processing, translation APIs, streaming data solutions, AutoML tools, feature stores, and data versioning, it will be considered a plus. Your ability to stay updated on state-of-the-art AI technologies and conduct research for innovative solutions will be highly valued in this role. Join our dynamic AI-driven team at Comsense Technologies and contribute to pioneering AI-driven solutions that will shape the future of technology.,

We are looking for a skilled Data Engineer to join our team, working on end-to-end data engineering and data science use cases. The ideal candidate will have strong expertise in Python or Scala, Spark (Databricks), and SQL, building scalable and efficient data pipelines on Azure. Responsibilities include designing, building, and maintaining scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, and Spark. Developing and optimizing data workflows using SQL and Python or Scala for large-scale data processing and transformation. Implementing performance tuning and optimization strategies for data pipelines and Spark jobs to ensure efficient data handling. Collaborating with data engineers to support feature engineering, model deployment, and end-to-end data engineering workflows. Ensuring data quality and integrity by implementing validation, error-handling, and monitoring mechanisms. Working with structured and unstructured data using technologies such as Delta Lake and Parquet within a Big Data ecosystem. Contributing to MLOps practices, including integrating ML pipelines, managing model versioning, and supporting CI/CD processes. Primary Skills required are Data Engineering & Cloud proficiency in Azure Data Platform (Data Factory, Databricks), strong skills in SQL and either Python or Scala for data manipulation, experience with ETL/ELT pipelines and data transformations, familiarity with Big Data technologies (Spark, Delta Lake, Parquet), expertise in data pipeline optimization and performance tuning, experience in feature engineering and model deployment, strong troubleshooting and problem-solving skills, experience with data quality checks and validation. Nice-to-Have Skills include exposure to NLP, time-series forecasting, and anomaly detection, familiarity with data governance frameworks and compliance practices, basics of AI/ML like ML & MLOps Integration, experience supporting ML pipelines with efficient data workflows, knowledge of MLOps practices (CI/CD, model monitoring, versioning). At Tesco, we are committed to providing the best for our colleagues. Total Rewards offered at Tesco are determined by four principles - simple, fair, competitive, and sustainable. Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays. Tesco promotes programs supporting health and wellness, including insurance for colleagues and their family, mental health support, financial coaching, and physical wellbeing facilities on campus. Tesco in Bengaluru is a multi-disciplinary team serving customers, communities, and the planet. The goal is to create a sustainable competitive advantage for Tesco by standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues. Tesco Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India, dedicated to various roles including Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and others.,

We are looking for a highly motivated and experienced data scientist to lead our team of Gen-Ai Engineers. As a data scientist, you will oversee all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a strong passion for artificial intelligence and will stay updated with the latest advancements in this field. Your responsibilities will include utilizing frameworks like Langchain to develop scalable AI solutions, integrating vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities, and collaborating with cross-functional teams to define problem statements and prototype solutions using generative AI. It will also involve ensuring the robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. You will be required to explore and visualize data to gain insights, identify differences in data distribution that could impact model performance in real-world deployment, verify and ensure data quality through data cleaning, supervise the data acquisition process if additional data is needed, find and utilize available datasets for training, define validation strategies, feature engineering, and data augmentation pipelines, train models, tune hyperparameters, analyze model errors, and devise strategies to overcome them. You will also be responsible for deploying models to production. The ideal candidate should have a Bachelors/Masters degree in computer science, data science, mathematics or a related field, along with 3-10 years of experience in building Gen-Ai applications. Preferred skills include proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis, expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, specialization in Deep Learning (NLP) and statistical machine learning, strong Python skills, experience in developing production-grade applications, familiarity with Langchain framework and vector databases, understanding and experience with retrieval algorithms, working knowledge of Big data platforms and technologies like Apache Hadoop, Spark, Kafka, or Hive, and familiarity with deploying applications on Ubuntu/Linux systems. Excellent communication, negotiation, and interpersonal skills are also essential for this role.,