861 Nlp Jobs - Page 17

About The Role Management Level: 09 - Consultant Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/ Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

We are looking for a passionate and innovative AI/ML Engineer LLM & NLP with strong expertise in artificial intelligence, natural language processing (NLP), and large language models (LLMs). The focus is on crafting, optimizing, and scaling AI-driven interactions that improve system performance, enhance user experience, and deliver measurable business value across a variety of applications. Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct experiments and evaluate to test the accuracy, safety, and quality of AI-generated outputs, learning best practices along the way. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay curious and keep learning about the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research Contribute to building internal documentation, prompt templates and reusable libraries. Required Skills & Qualifications: Bachelors degree in computer science. 2 years of experience working with LLMs, AI systems, NLP frameworks. Strong understanding of transformer models and training. Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Strong proficiency in Python, with hands-on experience using leading AI frameworks and libraries such as LangChain, LlamaIndex, and others commonly used in LLM and NLP development. Background in UX, technical writing, or content design is a plus.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file patents, or present findings in internal/external forums as needed. Requirements: 10+ years of experience in applied science, machine learning, or data science roles. Strong background in statistics, optimization, deep learning, NLP, or related fields. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proven experience in leading high-performance technical teams. Advanced degree (Ph.D. or Master’s) in Computer Science, Mathematics, Statistics, or a related field. Excellent communication and leadership skills. Preferred Qualifications: Experience in a product-led tech company or research lab environment. Track record of deploying ML models in production. Publications or patents in relevant areas.

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

As an Intern at Vumonic, your day-to-day responsibilities will involve extracting and parsing email receipts in HTML and PDF formats to identify key data points. You will be developing scripts to convert unstructured data into structured formats such as JSON and CSV. Additionally, you will be implementing regex, NLP, and AI techniques to enhance data extraction accuracy. Collaboration with the data team will be essential as you work together to refine parsing logic and automate processes. You will also be required to write SQL queries for storing, retrieving, and manipulating structured data. When necessary, you will utilize R for data cleaning, analysis, and visualization. An integral part of your role will be to explore and integrate AI/ML-based approaches to improve data extraction and validation. It is crucial to remain updated with the latest advancements in AI, NLP, and data parsing technologies. Testing, validating, and optimizing data pipelines for scalability will also be within your scope of work. Vumonic is a provider of global data and market intelligence services, enabling companies to make data-driven decisions in various domains like strategy, marketing, sales, investments, and more to achieve a higher ROI. As a rapidly growing startup specializing in data analytics, Vumonic offers a flat hierarchy, providing you with a dynamic and engaging work environment.,

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locations in Toronto, Canada, and Baroda, India. As a Specialist in Emerging Systems Engineering, you will be expected to possess a solid 3 to 5 years of experience range and be adept at working in areas such as Data Analytics, Computer vision, NLP, and OCR-related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you should have experience in managing digital data extraction and processing, creating training and testing pipelines with diverse data aspects, and developing model architectures from scratch or modifying pre-trained models. The ideal candidate must stay updated with the latest AI trends to ensure operational processes remain current. You will be required to identify opportunities for process enhancements, propose system modifications, and work with minimal technical supervision while efficiently managing multiple program priorities. Collaboration within a team environment is crucial, as you will be tasked with driving cross-team solutions that may have complex dependencies and requirements. Your qualifications should include a B.E./B.Tech in Computer Science/Statistics/IT/ECE stream, with an M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. You should have 3-5 years of hands-on experience in data science, machine learning, and deep learning, along with proficiency in C/C++/Java/Python for developing machine learning and deep learning solutions. Experience in building and deploying Machine Learning solutions using various supervised and unsupervised ML algorithms is essential. Moreover, you should have at least 3-5 years of practical experience with Python and frameworks such as TensorFlow, PyTorch, or MXnet. A good command of ML libraries like scikit-learn, NumPy, pandas, and Keras, as well as natural language processing using NLTK, spaCy, and Gensim, is required. Strong communication and interpersonal skills, familiarity with decision science tools and techniques, excellent problem-solving abilities, and the capacity to work efficiently in a fast-paced, deadline-driven environment are all highly valued in this role. Demonstrating a strong work ethic, a sense of collaboration, and ownership is imperative for success within the organization.,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

You will be joining InnovaESI as a ML Engineer/Data Scientist in Bengaluru, in a full-time hybrid role. Your responsibilities will include working on pattern recognition, neural networks, algorithms, and utilizing statistical methods to deliver comprehensive data solutions. While your primary location will be in Bengaluru, there is also flexibility for remote work. To excel in this role, you should have a strong background in Computer Science and Algorithms, proficiency in Pattern Recognition and Neural Networks, knowledge of Statistics and its application in data analysis, as well as experience working with complex algorithms and data models. Collaborating effectively in cross-functional teams and possessing advanced degrees in Computer Science, Data Science, or related fields are also essential qualifications. Additionally, a deep understanding of machine learning and NLP, coupled with commercial experience in building and deploying LLM solutions, will be beneficial. You should have 4-8 years of relevant experience, exceptional coding abilities (preferably in Python), and familiarity with ML tools and libraries like TensorFlow, PyTorch, pandas, scikit-learn, among others. Furthermore, a strong understanding of MLOps best practices with experience in deploying LLM applications to production at scale is required. Being a problem solver and self-starter is key; you should enjoy tackling challenging problems independently and within a collaborative team environment. Strong communication skills to explain complex technical concepts to non-technical stakeholders are also crucial. If you are passionate about leveraging your expertise in ML and data science to drive digital transformation, we encourage you to share your resume with us at jaya.sharma@innovaesi.com.,

At OP, we are a people-first, high-touch organization committed to delivering cutting-edge AI solutions with integrity and passion. We are looking for a Senior AI Developer with expertise in AI model development, Python, AWS, and scalable tool-building. In this role, you will be responsible for designing and implementing AI-driven solutions, developing AI-powered tools and frameworks, and integrating them into enterprise environments, including mainframe systems. As a Senior AI Developer at OP, your key responsibilities will include developing and deploying AI models using Python and AWS for enterprise applications, building scalable AI-powered tools, designing and optimizing machine learning pipelines, implementing NLP and GenAI models, developing and integrating RAG systems for enterprise knowledge retrieval, maintaining AI frameworks and APIs, architecting cloud-based AI solutions using AWS services, writing high-performance Python code for AI applications, and ensuring scalability, security, and performance of AI solutions in production. The required qualifications for this role include 5+ years of experience in AI/ML development with expertise in Python and AWS, a strong background in machine learning and deep learning, experience in LLMs, NLP, and RAG systems, hands-on experience in building and deploying AI models in production, proficiency in cloud-based AI solutions, experience in developing AI-powered tools and frameworks, knowledge of mainframe integration and enterprise AI applications, and strong coding skills with a focus on software development best practices. Preferred qualifications for this role include familiarity with MLOps, CI/CD pipelines, and model monitoring, a background in developing AI-based enterprise tools and automation, and experience with vector databases and AI-powered search technologies. At OP, we offer health insurance, accident insurance, and competitive salaries based on various factors including location, education, qualifications, experience, technical skills, and business needs. In addition to the core responsibilities, you will also be expected to participate in OP monthly team meetings, contribute to technical discussions, peer reviews, and collaborate via the OP-Wiki/Knowledge Base, as well as provide status reports to OP Account Management as requested. OP is a technology consulting and solutions company that offers advisory and managed services, innovative platforms, and staffing solutions across various fields, including AI, cyber security, and enterprise architecture. Our team consists of dynamic, creative thinkers who are passionate about quality work, and as a member of the OP team, you will have access to industry-leading consulting practices, strategies, technologies, training, and education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.,

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we invite you to join us on our innovative journey. Your primary responsibilities will include researching, designing, and fine-tuning machine learning models, with a specific focus on LLMs and Agentic AI systems. You will collaborate with software engineers and product teams to integrate AI models into customer-facing applications, perform data preprocessing and exploratory data analysis, and design robust model deployment pipelines. Additionally, you will prototype innovative solutions using cutting-edge techniques like reinforcement learning and generative AI, while also providing technical mentorship to junior team members. To excel in this role, you should have proficiency in Python for machine learning tasks, expertise in ML frameworks like PyTorch and TensorFlow, and a solid understanding of LLMs such as GPT and BERT. Experience with NLP tasks, deep learning architectures, and data manipulation tools is essential. Familiarity with cloud services, deployment tools, and additional skills like Agentic AI exposure and MLOps tools would be advantageous. In addition to technical skills, you should possess a strong analytical and mathematical background, solid understanding of algorithms and data structures, and the ability to handle large datasets using distributed frameworks. Soft skills such as problem-solving, communication, and collaboration are also crucial for success in this role. If you are a self-motivated individual with excellent critical-thinking abilities and a continuous learning mindset, we look forward to having you contribute to our team at Tecblic.,

AVIZVA is a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing the way healthcare enterprises deliver care. Since its establishment in 2011, AVIZVA has been a key strategic enabler for healthcare enterprises, enhancing their overall care delivery through tailored products and services. With over 13 years of expertise, AVIZVA has successfully engineered more than 150 products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. As an Associate Manager - Applied Machine Learning at AVIZVA, you will play a crucial role in architecting, designing, and developing advanced GenAI products and services. This position requires a strong technical background in machine learning coupled with leadership skills to drive the team towards success. Your responsibilities will include contributing to the development of Large Language Model (LLM) based products, integrating GenAI and traditional machine learning approaches to meet key product requirements. Collaboration with cross-functional teams, such as product managers and business leaders, will be essential to deliver scalable machine-learning solutions that align with business needs. Your role will involve setting clear goals and priorities for the team, overseeing the lifecycle of GenAI projects, addressing technical and operational challenges, and ensuring seamless deployment of models into production environments. Embracing a culture of continuous improvement, you will lead the team in delivering high-quality results while maintaining a collaborative work environment. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science or a related analytical field. A minimum of one year of experience in Gen AI, Agentic AI, and Large Language Models (LLMs) is required, along with hands-on experience in building RAG (Retrieval Augmented Generation) pipelines. Proficiency in NLP, NLG, Text Analytics, and working with Transformer-based models like BERT is essential. Additionally, you should have over 10 years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python, system design, and architecture. Your technical skills should encompass a strong command of Core Python, advanced Python libraries like PyTorch and FAST API, as well as experience with classification and clustering algorithms, ensemble models, and object-oriented programming. Familiarity with ORM tools, debugging, testing frameworks, front-end fundamentals, and Agile methodology will be beneficial for the role. Excellent communication and problem-solving skills are also key attributes for success in this position.,

At CredArtha, we are revolutionizing financial intelligence with FINA (Financial Intelligence & Neural Analyst), our proprietary vertical LLM designed to process, analyze, and generate financial insights. Our mission is to empower financial institutions, businesses, and individuals with AI-driven precision, efficiency, and automation in financial decision-making. We are looking for a Senior Machine Learning Engineer who is passionate about LLMs, deep learning, and NLP and is eager to build cutting-edge AI models tailored for financial data processing, document understanding, and predictive analytics. If you have expertise in training and fine-tuning open-source LLMs, developing retrieval-augmented generation (RAG) systems, and optimizing NLP models for real-world applications, we want you on our team. Your Role & Responsibilities As a Senior Machine Learning Engineer, you will: LLM Development & Optimization - Design, train, and fine-tune FINA, leveraging open-source LLMs such as LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Implement parameter-efficient fine-tuning (PEFT) techniques to optimize model efficiency while maintaining accuracy. - Work on self-learning mechanisms to ensure FINA continuously evolves through user interactions and real-time financial data ingestion. NLP & Financial Data Processing - Develop and enhance NLP models for document understanding, financial risk analysis, and transaction categorization. - Work on named entity recognition (NER), sentiment analysis, topic modeling, and automated financial report generation. - Design embedding models and vector search architectures to create a robust financial knowledge base. RAG & AI-Powered Financial Insights - Implement retrieval-augmented generation (RAG) pipelines to enhance LLM response accuracy and domain knowledge. - Build custom search and retrieval mechanisms using vector databases like FAISS, Weaviate, or ChromaDB. - Develop multi-modal AI models that combine structured and unstructured financial data to provide deep insights and analytics. Deployment, MLOps & Scalability - Deploy and manage FINA using cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and MLOps best practices. - Optimize models for low-latency inference and scalability using quantization, distillation, and model pruning techniques. - Implement real-time monitoring and feedback loops to improve model performance and user experience. Ideal Candidate Profile We are looking for someone who has: - Hands-on experience in Machine Learning, Deep Learning, and NLP (LLMs, Transformers, RNNs, etc.). - Strong proficiency in Python, with experience in TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. - Expertise in fine-tuning LLMs, self-supervised learning, and AI explainability. - Experience working with financial data (bank statements, credit reports, transactional data, risk models, etc.). - Strong knowledge of vector embeddings, search algorithms, and RAG implementations. - Familiarity with database technologies (SQL, MongoDB, NoSQL) and cloud platforms (AWS, GCP, Azure). Bonus: Experience in financial risk modeling, fraud detection, or credit scoring models. Why Join CredArtha - Innovate at the intersection of AI & Finance - Work on groundbreaking AI-driven financial solutions. - Build FINA from the ground up - Develop a vertical LLM that will be at the core of CredArtha's technology stack. - Impact millions - Help businesses and financial institutions automate, analyze, and optimize decision-making with AI. - Freedom to experiment - Push the boundaries of deep learning and NLP in a fast-paced, innovation-driven environment.,

As a Data Science Team Lead, you will be responsible for leading a team of data scientists, planning data projects, and building analytic systems and predictive models. Your role will involve managing a team of data scientists and machine learning engineers, as well as engaging in pre-sales activities and building proposals. You will need to apply your strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data and creating reports, and aligning data projects with organizational goals. You will need to understand business problems and design end-to-end analytics use cases, develop complex models and algorithms to drive innovation, conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance, collaborate with model developers to implement and deploy scalable solutions, and provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models including Multiple and Multivariate, experience in Classification models including Ensemble techniques, experience in Unsupervised models including K-Means, DBSCAN, LOF, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, Markov, strong real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.), excellent written and verbal communication skills along with a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced start-up environment, and an additional advantage of having experience in semi-structured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional programming skills in C, C++, Java, or .Net would be beneficial.,

As an AI Developer, you will be responsible for designing, developing, optimizing, and implementing AI systems to meet business requirements. You will monitor the performance of deployed scalable AI models and frameworks, making necessary adjustments or updates to enhance accuracy and reliability. In case of any issues or bugs during operation, you will address them promptly. Collaborating with cross-functional teams, you will analyze business needs, define problems, and identify the goals and requirements of AI systems. Working closely with the development team, you will ensure seamless AI development and integration. You will define APIs and protocols for communication between AI systems and external services. It will also be part of your responsibility to document AI models and infrastructure, processes, and practices for reference. You will present progress to the leadership team and stakeholders. Implementing strong data security and privacy measures for data handled in AI applications will be crucial. Staying current with emerging AI research and technologies is essential. You will initiate innovative solutions and improvements to advance our AI capabilities. Additionally, you will conduct training sessions and share knowledge and expertise in AI with the team. Requirements: - Bachelor's degree in Computer Science, IT, Data Science, or related field - 1-2 years of experience in AI development, Natural Language Processing, and Large Language Models - Proven track record of deploying AI models in production - Proficiency in programming languages such as Python, JavaScript, or C++ - Experience in JAVA is a plus - Knowledge of SQL and NoSQL databases - Experience with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, Scikit-learn) - Familiarity with machine learning models & algorithms, cloud computing platforms (AWS, Microsoft Azure, Google Cloud Platform), containerization (Docker, Kubernetes), deep learning, Natural Language Processing (NLP), and/or Natural Language Generation (NLG) - Eagerness to learn and continuously expand knowledge in emerging fields - Strong interpersonal and communication skills with a willingness to collaborate with different teams.,

As a top-tier AI Consulting Leader, you will leverage your deep understanding of AI technologies to engage with C-suite executives and drive strategic AI-led transformations. You will play a pivotal role in bridging the gap between cutting-edge AI advancements and real-world business impact, assisting enterprise customers in unlocking value from AI. Your key responsibilities will include serving as a trusted advisor to CXOs, guiding them through AI-driven business transformation initiatives. You will lead high-impact AI strategy discussions, aligning AI adoption with business objectives and influencing AI investments by articulating ROI, relevant use cases, and long-term benefits. Staying at the forefront of Generative AI, Agentic AI, Machine Learning (ML), and emerging AI trends will be crucial. You will shape AI roadmaps for customers by defining scalable and responsible AI adoption strategies. Additionally, you will represent the organization in industry forums, analyst discussions, and executive briefings. Collaborating closely with internal teams, you will design and propose AI-powered solutions. Your role will involve identifying and defining high-value AI use cases across various industries, with a focus on Retail, Consumer Packaged Goods (CPG), Manufacturing, Banking, Financial Services, and Insurance (BFSI), and Healthcare sectors. Ensuring that AI solutions are practical, scalable, and aligned with customer objectives will be imperative. Driving AI-led consulting engagements and pre-sales initiatives will contribute to business and revenue growth. You will partner with Sales, Delivery, and Product teams to develop distinctive AI offerings and support AI business development and go-to-market strategies. Engaging with AI engineers, data scientists, and business leaders will be essential to co-create impactful AI-driven solutions. You will ensure that AI governance, ethics, and compliance are integrated into all discussions and collaborate with hyperscalers, technology partners, and ecosystem players to accelerate AI adoption. To excel in this role, you should possess 10-15 years of experience in AI, consulting, or enterprise technology leadership. A strong knowledge of various AI frameworks like Generative AI, ML, NLP, and Agentic AI is required. Your ability to conduct boardroom-level discussions and influence CXO decision-making will be crucial, along with translating complex AI technology into business value and strategy. Furthermore, a deep understanding of AI adoption challenges, data strategy, and enterprise AI scaling is necessary. Strong executive presence, storytelling abilities, and stakeholder management skills are essential. Experience in pre-sales, business consulting, and AI roadmap development will be beneficial, as well as exposure to multiple industries such as Retail, CPG, Manufacturing, BFSI, among others. Preferred qualifications include prior experience in top consulting firms or AI-focused roles in global IT services firms, exposure to AI-first product startups or digital transformation programs, and a strong network with industry leaders, analysts, and AI influencers.,

As a Regional Solutions Engineer at Data Dynamics, you will play a crucial role in technical pre-sales and customer management. Your responsibilities will include gathering business and technical requirements from customers, coordinating technical information, providing demonstrations, and positioning our products effectively. You will research customer requirements thoroughly and ensure supportability considerations. You will be tasked with evaluating customers" business needs and translating them into technical and licensing requirements. In the case of a Proof of Concept (POC) or sale, you will collaborate with the sales representative to review the work. For existing customers targeted for upsell or cross-sell opportunities, you will work closely with the customer success manager and global support team, offering a seamless customer experience. Your role will involve setting up and conducting demonstrations and POCs independently. You will define success criteria with customers and sales representatives, monitor goal achievement throughout the POC process, and present the outcomes to Data Dynamics Sales and customer decision-makers. Post-sale, you will be available to assist or lead the installation based on time zone and resource availability. Given your daily interactions with new and existing customers, understanding their business objectives, technical capabilities, and constraints, you are expected to be a customer advocate. Your feedback on business processes, technical issues, and potential enhancements will be invaluable in driving continuous improvements and ensuring customer success. In addition to the above responsibilities, you will be involved in script writing, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or internal meetings may be necessary. At Data Dynamics, we prioritize delivering an exceptional customer experience. We foster a collaborative, challenging, fun, and innovative work environment. If you are a customer-centric individual passionate about developing scalable data-driven software, we would love to have a conversation with you. **Qualifications:** - Proficiency with Windows, Linux, Docker, and Kubernetes - Knowledge of SQL, Postgresql, Elasticsearch, File/NAS, Object Storage, Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword search, Regex, Data Governance, GDPR, HIPAA, CCPA - Experience with Microservices based applications, ITILv4, Project Management, and Data Migration - Previous experience in presales and integration - Strong problem-solving, presentation, and communication skills - Ability to work effectively in a team environment - Background in data management or related field is a plus - Bachelor's degree in Computer Science, Engineering, or related field,

As a Senior Vice President, Digital Delivery Practice Lead, you will be responsible for driving the design, development, and deployment of cutting-edge AI solutions. You will lead a talented team of AI engineers and data scientists, collaborate with cross-functional groups, and ensure the successful execution of AI projects from concept through delivery. Your extensive experience in AI technologies, software engineering, leadership, and project delivery will be crucial in creating impactful AI-driven solutions. The role emphasizes setting up best practices in software engineering, including CI/CD pipelines, version control, automated testing, and cloud-native design patterns such as microservices and serverless architecture. Applying DevOps principles to both cloud and AI application development will ensure efficient, reliable, and scalable delivery. You will oversee the entire lifecycle of cloud-based and AI applications, defining the vision, leading the design and development process, and ensuring successful deployment and post-launch performance monitoring. Anticipating future needs and adapting strategies to incorporate evolving cloud and AI technologies will be essential. Your responsibilities include overseeing the end-to-end lifecycle of AI application development, guiding the integration of AI models into production systems, collaborating with business stakeholders to translate requirements into technical solutions, and leveraging state-of-the-art AI methodologies like machine learning, deep learning, and NLP to address complex challenges. You will manage the delivery of AI projects, implement agile methodologies and DevOps practices, lead the architecture and scaling of efficient and secure AI solutions, and collaborate with cross-functional teams to drive value and address business needs. In addition to project delivery and execution, you will work closely with product managers, business analysts, and technical teams to ensure seamless integration of AI applications, update senior leadership on project progress, and foster a high-performance culture within your team. Staying ahead of industry trends, promoting the adoption of AI solutions, and continuously refining processes to optimize the AI development lifecycle will be key focus areas. Ensuring compliance with data privacy regulations and ethical AI practices, maintaining high standards of performance, quality, and accuracy in AI applications, and overseeing post-deployment value delivery are also part of your responsibilities. Qualifications for this role include 20 years of experience in delivering software engineering and AI solutions, technical delivery of large digital projects, hands-on experience with cloud data AI and full stack development, in-depth understanding of technical architecture, and the ability to assess and blueprint clients" technology stack. A bachelor's degree in computer science or related field, with an advanced degree from a premiere institute, proven leadership track record in delivering AI/ML and digital solutions at scale, strong business acumen, excellent communication skills, and the ability to thrive in a fast-paced environment are required. If you meet the qualifications and are ready to take on this challenging and rewarding role, we look forward to receiving your application.,

Agoda is an online travel booking platform that connects travelers worldwide with a vast network of 4.7M hotels, holiday properties, flights, activities, and more. As part of Booking Holdings and with 7,100+ employees from 95+ nationalities, Agoda fosters a diverse, creative, and collaborative work environment. Through a culture of experimentation and ownership, we strive to enhance our customers" ability to experience the world. At Agoda, our purpose is to bridge the world through travel, allowing people to enjoy, learn, and experience the amazing world we live in. Travel brings individuals and cultures closer, fostering empathy, understanding, and happiness. Our team consists of skilled, driven individuals from across the globe, united by a passion to make a meaningful impact. By leveraging innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. The Data department at Agoda is responsible for managing all data-related requirements for the company. We strive to enable and enhance the use of data through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We recruit top talent globally to tackle this challenge, providing them with the necessary knowledge and tools for personal growth and success while upholding our culture of diversity and experimentation. The role of the Data team is crucial as various stakeholders depend on us to empower their decision-making processes and improve the customer search experience. We are committed to enhancing customer experience, accelerating search results, and safeguarding against fraudulent activities. We are currently seeking ambitious and agile data scientists to join our Data Science and Machine Learning (AI/ML) team. In this role, you will work on challenging machine learning and big data platforms, processing 600B events daily and making 5B predictions. You will tackle real-world challenges such as dynamic pricing, real-time customer intent prediction, search result ranking optimization, content classification, personalized recommendations, and more. You will have the opportunity to work with one of the world's largest ML infrastructure, utilizing GPUs, CPU cores, and memory to drive innovations and improve user experiences. As a Data Scientist at Agoda, you will design, code, experiment, and implement models and algorithms to enhance customer experience, business outcomes, and infrastructure readiness. You will analyze vast amounts of customer data, user-generated events, supplier data, and pricing information to derive actionable insights for continuous improvements and innovation. Collaboration with developers and various business stakeholders is crucial for delivering high-quality results on a daily basis. Additionally, you will be tasked with researching, discovering, and implementing new ideas that can make a significant difference. To succeed in this role, you should have at least 4 years of hands-on data science experience, a strong understanding of AI/ML/DL and Statistics, proficiency in coding using open-source libraries and frameworks, and excellent skills in SQL, Python, PySpark, or Scala. The ability to lead, work independently, and collaborate in a multicultural environment is essential. A background in Computer Science, Operations Research, Statistics, or other quantitative fields is preferred, along with experience in NLP, image processing, recommendation systems, and data engineering. We welcome both local and international applications for this role, with full visa sponsorship and relocation assistance available for eligible candidates. Agoda is an equal opportunity employer committed to creating a diverse and inclusive workplace.,

As a Junior Data Scientist specializing in Generative AI, you will have the exciting opportunity to explore new problems, drive innovation, and apply advanced machine learning techniques and programming skills, especially in Python. Your primary role will involve enhancing the analytics backend flagship products and contributing to the advancement of knowledge discovery solutions. This position is ideal for individuals who are passionate about learning, creative problem-solving, and thrive in a dynamic environment. To be eligible for this role, you should have a Bachelor's degree in computer science or a related field OR a Master's degree in statistics, along with 2-6 years of experience in the Analytics/Data Science domain. Proficiency in programming languages such as Python is essential, as well as experience with Generative AI techniques and tools. You should also be familiar with data imputation, data cleaning, outlier handling, cloud platforms like AWS, AI/ML services, and databases/tools such as SQL. Desirable technical skills include expertise in NLP and Generative AI concepts/methods/techniques, such as Prompt design/engineering, Retrieval Augmented Generation (RAG), Corrective RAG, Knowledge Graph-based RAG using GPT4o, Fine-tuning through LORA/QLORA, and Multi-agentic frameworks for RAG. A strong understanding of Deep Learning methods, Machine Learning techniques, Ensemble methods, Support Vector Machines, and NLP is also preferred. Your specific responsibilities will include translating business requirements into actionable analytical plans, identifying appropriate data sources, resolving data discrepancies, delivering projects and proof-of-concept initiatives, contributing to technical and analytics architecture development, implementing analytical frameworks and data pipelines, coordinating with cross-functional teams, and delivering production-ready models and solutions. You will also be responsible for monitoring success metrics, staying informed about new trends in Generative AI, and integrating relevant advancements into solutions. With 8-11 years of experience, your primary skill will be AI/ML Development, with additional expertise in Python, TensorFlow, and PyTorch. The company you will be working for, Infogain, is a human-centered digital platform and software engineering company based in Silicon Valley. Infogain engineers business outcomes for Fortune 500 companies and digital natives across various industries using technologies like cloud, microservices, automation, IoT, and artificial intelligence. As an Infogain employee, you will accelerate experience-led transformation in the delivery of digital platforms.,

Agoda is an online travel booking platform that connects travelers with a vast global network of 4.7M hotels, holiday properties, flights, activities, and more. As part of Booking Holdings and based in Asia, Agoda's diverse team of 7,100+ employees from 95+ nationalities in 27 markets fosters an environment rich in diversity, creativity, and collaboration. At Agoda, innovation is driven by a culture of experimentation and ownership to enhance the customer experience of exploring the world. The Data department at Agoda, headquartered in Bangkok, is responsible for overseeing all data-related requirements within the company. The primary objective is to enable and enhance the use of data through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. The Data team at Agoda consists of bright minds from around the world who are equipped with the necessary knowledge and tools to support the company's culture of diversity and experimentation. The team plays a critical role in empowering decision-making processes for business users, product managers, engineers, and other stakeholders, while also focusing on improving the search experience for customers and safeguarding against fraudulent activities. Agoda is seeking ambitious and agile data scientists to join the Data Science and Machine Learning (AI/ML) team in Bangkok. The role involves working on challenging machine learning and big data platforms, processing approximately 600B events daily and making 5B predictions. As part of this team, you will tackle real-world challenges such as dynamic pricing, customer intent prediction, personalized recommendations, and more. The role offers the opportunity to work with one of the world's largest ML infrastructure, employing advanced technologies like GPUs, CPU cores, and memory for innovation and user experience enhancement. In this role, you will have the opportunity to design, code, experiment, and implement models and algorithms to maximize customer experience, business outcomes, and infrastructure readiness. You will analyze vast amounts of data to derive actionable insights for driving improvements and innovation, collaborating with developers and various business owners to deliver high-quality results. Successful candidates will have hands-on data science experience, a strong understanding of AI/ML/DL and Statistics, proficiency in coding languages like Python, PySpark, and SQL, and excellent communication skills for multicultural teamwork. Preferred qualifications include a PhD or MSc in relevant fields, experience in NLP, image processing, recommendation systems, data engineering, and data science for e-commerce or OTA. Agoda welcomes applications from both local and international candidates, offering full visa sponsorship and relocation assistance for eligible individuals. Agoda is an Equal Opportunity Employer and keeps applications on file for future vacancies. For further information, please refer to the privacy policy on our website. Agoda does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes.,

The internship trainee position at HCDS Technologies is a unique opportunity for 2nd and 3rd-year students to engage in a self-funded and self-budgeted internship program that focuses on digital transformation projects. The internship offers a hybrid and virtual work environment, allowing interns to apply their academic knowledge, work on diverse projects spanning various domains, and deploy Web3 and Blockchain technologies solutions. Interns will have the chance to receive an offer letter and project completion certificate for each project they successfully complete, along with an internship completion certificate upon reaching 99% project completion and testing. Active collaboration and competition during the internship can lead to winning cool swag, while a letter of recommendation will be provided for future recruitment opportunities. Furthermore, interns may receive sponsorship and scholarship support of up to INR 1,35,000 for premium enterprise resources and subscriptions. The program also offers mentorship, fellowship, and technopreneurship opportunities, providing exposure, expertise, and experience in a corporate setting. HCDS Technologies is a partnership firm based in Gurugram, Delhi NCR, specializing in digital transformation across various domains such as Web3 and Blockchain, People and Business Analytics, Cloud Innovation, and Functional Automation. The internship trainee role involves active participation in the company's digital transformation projects related to Web3, Blockchain, analytics, and automation, with the flexibility for remote work. Qualifications for the internship trainee position include knowledge of Web3, Blockchain, and Cloud Innovation, an interest in People and Business Analytics, basic understanding of AI, NLP, and Prompt Engineering, experience in Functional and Business Process Automation, strong research and analytical skills, excellent communication and interpersonal abilities, and the ability to work both independently and as part of a team. Candidates should be pursuing or have recently completed a degree in Computer Science, Engineering, or a related field and must be willing to invest 50% in enterprise resources and trainee project subscriptions. Additionally, candidates are required to have their own laptop with a headset for hybrid learning and innovation opportunities across diverse business verticals.,

As a Python Developer at Innefu Lab, you will play a crucial role in the software development life cycle, contributing from requirements analysis to deployment. Working in collaboration with diverse teams, you will design and implement solutions that align with client requirements and industry standards. Your responsibilities encompass various key areas: Software Development: You will be responsible for creating, testing, and deploying high-quality Python applications and scripts. Code Optimization: Your role involves crafting efficient, reusable, and modular code while enhancing existing codebases for optimal performance. Database Integration: You will integrate Python applications with databases to ensure data integrity and efficient data retrieval. API Development: Designing and implementing RESTful APIs to enable seamless communication between different systems. Collaboration: Working closely with UI/UX designers, backend developers, and stakeholders to ensure effective integration of Python components. Testing and Debugging: Thoroughly testing applications, identifying and rectifying bugs, and ensuring software reliability. Documentation: Creating and maintaining comprehensive technical documentation for code, APIs, and system architecture. Continuous Learning: Staying updated on industry trends, best practices, and emerging technologies related to Python development. Required Skills: - Proficient in Python, Django, Flask - Strong knowledge of Regular Expressions, Pandas, Numpy - Excellent expertise in Web Crawling and Web Scraping - Experience with scraping modules like Selenium, Scrapy, Beautiful Soup, or URLib - Familiarity with text processing, Elasticsearch, and Graph-Based Databases such as Neo4j (optional) - Proficient in data mining, Natural Language Processing (NLP), and Optical Character Recognition (OCR) - Basic understanding of databases - Strong troubleshooting and debugging capabilities - Effective interpersonal, verbal, and written communication skills - Ability to extract data from structured and unstructured sources, analyze text, images, and videos, and utilize NLP frameworks for data enrichment - Skilled in collecting and extracting intelligence from data, utilizing regular expressions, and extracting information from RDBMS databases - Experience in web scraping frameworks like Scrapy for data extraction from websites Join us at Innefu Lab, where innovative offerings and cutting-edge technologies converge to deliver exceptional security solutions. Be part of our dynamic team driving towards excellence and growth in the cybersecurity domain.,

We are looking for a highly experienced and dynamic Lead Data Scientist to join our Gen AI team in Kolkata. You should have 10-12 years of hands-on experience in the Data Analytics Industry, with a successful track record of leading and delivering innovative AI solutions. As the Lead Data Scientist, you will be responsible for steering the strategic direction, ensuring technical excellence, and overall success of our data science initiatives. This role presents a unique opportunity to influence the future of AI at Adani while leading a team of talented data scientists. With 10 years of experience in Data Analytics, NLP & Text Analytics and at least 3 years of experience in GenAI & LLM, you should have demonstrable expertise in leading and delivering AI solutions. Your responsibilities will include leading and mentoring a team of data scientists, defining and driving the strategic direction of the Gen AI practice, collaborating with cross-functional teams, developing cutting-edge AI algorithms, and deploying scalable AI solutions that drive operational efficiency and business value. You should possess a Bachelors, Masters, or PhD in Computer Science, Statistics, Mathematics, or a related field, along with relevant certifications in data science, machine learning, or artificial intelligence. Exceptional leadership and team management abilities, strong problem-solving skills, excellent communication, and stakeholder management skills are essential for this role. Furthermore, you should have advanced proficiency in Python, R, or other relevant programming languages, deep understanding of machine learning, deep learning, and natural language processing techniques, experience with big data technologies, and expertise in model deployment and management. If you are passionate about leading high-impact data science initiatives and contributing to the growth of the organization, this Lead Data Scientist role at Adani offers an exciting opportunity to shape the future of AI in a collaborative environment. Join our team and help us drive innovation and make a meaningful impact.,