880 Nlp Jobs - Page 26

Experience: 2 + years Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Office (Pune) Placement Type: Full Time Permanent position Must have skills required: Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, Forecasting, Python, SQL, MLFlow, pandas, Scikit-learn, XgBoost As an ML / Data Science Engineer at Anervea, youll work on designing, training, deploying, and maintaining machine learning models across multiple products. Youll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Youll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required : Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering, model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes : Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomesnot just code Bonus Qualities : Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions

We are looking for a Senior Data Scientist with expertise in Natural Language Processing (NLP), Computer Vision, Generative AI, and IoT data processing. The ideal candidate should have hands-on experience in deploying AI models on cloud (Azure) and edge environments, building data pipelines, and implementing CI/CD workflows. Strong proficiency in Python, SQL, TensorFlow, PyTorch, and cloud services (Azure ML, App Services, Data Factory) is essential. The role requires model monitoring, performance optimization, and IoT device integration for predictive analytics and real-time AI solutions.

Hi , We are hiring Automation Engineer ( Python , SQL , PLC, Ignition) Primary Skills: Python, SQL, Ignition, PLC Secondary Skills: Kepware/OPC, NLP, AWS Cloud, MQTT, CVML, Networking & Machine Connectivity, IE, ME skill sets, LabVIEW, TestStand Job Summary We are seeking an experienced Automation Engineer with a strong background in Python, SQL, Ignition SCADA, and PLC programming. The ideal candidate will be responsible for developing, deploying, and maintaining automation solutions in industrial or manufacturing settings, integrating various hardware and software platforms, and ensuring robust machine connectivity and data flow. Roles & Responsibilities Ignition & SCADA Development Design, develop, and maintain Ignition applications, dashboards, and HMIs for industrial automation. Configure and manage Ignition Gateways, projects, and tag structures. Integrate Ignition with PLCs, Kepware/OPC servers, and other industrial devices using protocols such as OPC-UA and MQTT. Implement scripting and automation logic using Python within Ignition environments. Database & Data Integration Design and optimize SQL database schemas, tables, views, and indexes to support automation solutions. Develop, test, and maintain complex SQL queries, stored procedures, and triggers. Integrate data from Ignition and other sources with SQL databases for analytics and reporting. Implement ETL processes and data integration solutions as required. Machine Connectivity & Networking Configure and maintain machine connectivity using Kepware, OPC, and networking protocols. Analyze machine communication capabilities and connectivity constraints. Troubleshoot and optimize network and machine data flows for reliability and performance. Cloud & Advanced Technologies Integrate automation systems with AWS Cloud and other cloud storage solutions as needed. Apply knowledge of MQTT, CVML, NLP, and other advanced technologies to enhance automation capabilities. Testing & Validation Develop and execute test plans for automation solutions, including integration, load, and user acceptance testing. Validate data accuracy, system reliability, and error handling mechanisms. Collaboration & Documentation Work closely with cross-functional teams including engineers, IT, and operations to deliver robust solutions. Provide training and technical support for deployed systems. Ensure thorough documentation of all development activities, configurations, and user manuals. Maintenance & Optimization Monitor system and database performance, implementing improvements as needed. Perform regular updates, ensure data security compliance, and troubleshoot issues promptly

Roles and Responsibilities : Design, develop, test, and deploy NLP models using Python and machine learning algorithms. Collaborate with cross-functional teams to integrate NLP solutions into existing systems. Develop data pipelines for large-scale text analysis and sentiment analysis projects. Troubleshoot issues related to model performance, data quality, and system integration. Job Requirements : 3-8 years of experience in natural language processing (NLP) development using Python. Strong understanding of machine learning concepts and techniques. Proficiency in developing scalable data pipelines for big data processing. Experience with popular NLP libraries such as NLTK, spaCy, or Hugging Face Transformers.

Position - Full Stack Developer( LLM & AI/ML/ Python NLP, Claude,Mistral,RAG ) Group Manager - RNA Design, fine-tune, and deploy LLM-based solutions (e.g., ChatGPT, LLaMA, Mistral, Claude).Integrate LLMs into modern web applications to deliver intelligent user experiences Develop end-to-end full-stack applications using modern web frameworks and RESTful APIs. Collaborate with data scientists and product managers to translate business problems into LLM-based applications. Build and optimize prompt engineering workflows for maximum model performance. Ensure performance, scalability, and security of deployed solutions Stay up to date with the latest advancements in generative AI and web development Must Have: LLM & AI/ML Skills: Deep experience with LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) Expertise in prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) Familiarity with Hugging Face, LangChain, or similar AI frameworks Strong Python programming skills, especially in NLP libraries (e.g., Transformers, SpaCy, PyTorch, TensorFlow) Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)Web Development: Proficiency in modern front-end frameworks (React, Angular, or Vue.js) Strong backend development experience (Node.js, Django, Flask, or FastAPI) Hands-on experience building and integrating RESTful APIs and GraphQL endpoints Strong understanding of web architecture, security, performance optimization.DevOps & Deployment: Experience with Docker, Kubernetes, or cloud services (AWS, Azure, GCP)CI/CD pipelines and code quality tools (e.g., GitHub Actions, Jenkins)General:Strong problem-solving and debugging skills. Excellent written and verbal communication.Ability to work independently in a fast-paced, innovative environment Ability to translate business needs into scalable tech solutions Leadership experience in mentoring or guiding technical teams Qualifications Masters or Bachelors in Computer Science, Artificial Intelligence, or a related field Experience with production-grade LLM applications (chatbots, agents, copilots, etc.) 8+ years of hands-on experience.

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

Location : Bangalore (Hybrid) Experience : 35 Years Work Mode : Hybrid (2–3 days onsite/week) Apply To : gopi.c@acesoftlabs.com | 9701923036 Job Description We are looking for a skilled and analytical Data Scientist to join our team. The ideal candidate should have hands-on experience in building and deploying machine learning models, working with large datasets, and generating actionable insights that drive business value. Key Responsibilities Develop and deploy machine learning and statistical models Analyze large datasets to uncover trends, patterns, and insights Build dashboards and visualizations to communicate findings Work closely with engineering, product, and business teams to understand requirements Implement ETL pipelines for data preprocessing and feature engineering Continuously evaluate and improve model performance Required Skills 3–5 years of experience as a Data Scientist Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) Experience in SQL and working with relational or NoSQL databases Solid understanding of statistics , ML algorithms , and data structures Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) Experience deploying models into production environments Nice to Have Experience with Big Data technologies (Spark, Hadoop) Familiarity with Cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) Knowledge of MLOps tools (MLflow, Airflow, Docker) Experience with NLP or time-series modelin

Role & responsibilities Role: AI/Research Engineer Were looking for an innovative and hands-on engineer with strong Python development skills and deep experience in Dask for distributed computing. What You’ll Do Design and build scalable data pipelines using Python and Dask Work on cutting-edge AI research problems and prototype solutions Collaborate with data scientists and ML engineers to integrate models into production Optimize performance of large-scale data processing workflows Stay updated with the latest in AI/ML frameworks and data engineering best practices What We’re Looking For 2–20 years of experience in Python development Hands-on experience with Dask (arrays, dataframes, parallel computing) Familiarity with NumPy, Pandas, Scikit-learn, and data visualization tools Experience in AI/ML pipelines or applied research projects Strong problem-solving and analytical skills Experience with cloud platforms (AWS/GCP/Azure) is a plus Work on real-world AI problems across diverse industries A collaborative and learning-driven work culture Opportunities to explore research + product-focused roles Hybrid flexibility and career growth support Preferred candidate profile

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

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

We are seeking a skilled and passionate Python Machine Learning Developer to join our team. In this role, you will be responsible for designing, developing, and implementing machine learning models and data pipelines using Python. You will work closely with our data science and product teams to turn data into actionable insights. Build and deploy machine learning models using PythonHands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Strong understanding of machine learning algorithms and techniques, Analyze large datasets to extract meaningful insights, Develop and optimize algorithms for prediction, classification, and clustering.

About Role We are seeking a highly skilled AI/ML Engineer to join our team and drive the implementation of cutting-edge ML solutions. The ideal candidate will have extensive experience in developing and deploying advanced GenAI applications, techniques and models. Key Responsibilities: 1. Advanced RAG Implementation o Identify the most appropriate chunking techniques for a use case to maximize RAGs accuracy o Evaluate and implement different retrieval optimisation techniques depending on data & use case requirements o Apply RAG solutions to real-world use cases, ensuring practical applicability 2. LLM Fine-tuning and Optimization o Fine-tune Large Language Models (LLMs) for specific domain use cases o Work on creating the data & format required for fine tuning 3. AI Solution Development o Design and implement advanced AI solutions, including intent classification, sequential modeling, and semantic search o Work with vector databases & frameworks like LangChain to build LLMpowered applications 4. Model Evaluation and Improvement o Create robust evaluation benchmarks to assess model performance o Continuously research and propose innovative methods to enhance AI solution performance 5. Technical Leadership and Collaboration o Stay up-to-date with the latest developments in GenAI and share knowledge with the team o Collaborate with cross-functional teams to integrate AI solutions into production systems Requirements: 2 years+ experience in Machine Learning and Natural Language Processing Hands-on experience with PyTorch, Hugging Face Transformers, and other relevant libraries Proven track record of implementing RAG systems for real-world use cases Experience in fine-tuning and optimizing large language models Proficiency in Python and software engineering best practices Familiarity with vector databases and embedding techniques Strong problem-solving skills and attention to detail Passion for staying current with the latest GenAI developments

Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Assist in developing AI-powered QA automation tools using LLMs Collaborate with QA engineers to understand test requirements and translate them into automated scripts Use LLMs to generate test cases, validation scripts, and test data automatically Maintain, debug, and optimize automated test scripts and frameworks Integrate LLM-based solutions into existing CI/CD pipelines and QA workflows Document automation processes and assist with training teams on new AI-driven QA tools Continuously research and apply advancements in LLMs and AI for QA improvements To ensure youre set up for success, you will bring the following skillset & experience: You have 3-5 years for software development experience You have experince of basic programming skills in Python, JavaScript, or relevant languages for automation You have understanding of software testing concepts and QA automation tools (e.g., Selenium, Cypress, JUnit) You have some experience in AI, NLP, or machine learning concepts You are familiarity with version control systems such as Git You have strong problem-solving skills and ability to learn quickly in a dynamic environment Whilst these are nice to have, our team can help you develop in the following skills: Experience with AI/ML frameworks like PyTorch or TensorFlow Familiarity with Large Language Models such as GPT, BERT, or OpenAI APIs Knowledge of continuous integration tools (Jenkins, GitHub Actions) Exposure to writing or maintaining automated test frameworks Understanding of cloud environments for deploying automation solutions

8+ years of total experience with 5+ years of professional experience in AI, ML or a related field. Master's or PhD in Computer Science, Mathematics, AI or a related field. Good mathematical understanding of machine learning and deep learning algorithms. Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability. Experience with Natural Language Processing, Deep Learning, and Computer Vision techniques. Proficiency in programming languages such as Python or Scala, along with experience using DL frameworks like TensorFlow, PyTorch etc. Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Experience in program leadership, governance, and change enablement Understand client challenges and propose solutions based on AI/GenAI capabilities. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards. Work on functional design, process design, prototyping, testing, training, and defining support procedures, in collaboration with data engineering team and executive leadership. Train and deploy AI models to solve complex business problems or automate processes. Convert AI/ML models into APIs to be used in other applications. Manage a team in implementing AI solutions and developing products. Collaborate with external partners, such as research institutions or universities, to explore innovative AI approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Stay up to date with the latest developments in machine learning and AI. Experience working with Azure Data & AI services. Experience with MLOps tools like MLFLow, Azure MLOps or similar tools. High level of ownership and creative problem solving under resource constraints. Excellent verbal and written communication skills. Ability to interact with C-Level executives

8+ years of total experience with 5+ years of professional experience in AI, ML or a related field. Master's or PhD in Computer Science, Mathematics, AI or a related field. Good mathematical understanding of machine learning and deep learning algorithms. Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability. Experience with Natural Language Processing, Deep Learning, and Computer Vision techniques. Proficiency in programming languages such as Python or Scala, along with experience using DL frameworks like TensorFlow, PyTorch etc. Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Experience in program leadership, governance, and change enablement Understand client challenges and propose solutions based on AI/GenAI capabilities. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards. Work on functional design, process design, prototyping, testing, training, and defining support procedures, in collaboration with data engineering team and executive leadership. Train and deploy AI models to solve complex business problems or automate processes. Convert AI/ML models into APIs to be used in other applications. Manage a team in implementing AI solutions and developing products. Collaborate with external partners, such as research institutions or universities, to explore innovative AI approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Stay up to date with the latest developments in machine learning and AI. Experience working with Azure Data & AI services. Experience with MLOps tools like MLFLow, Azure MLOps or similar tools. High level of ownership and creative problem solving under resource constraints. Excellent verbal and written communication skills. Ability to interact with C-Level executives

Role & responsibilities Define and own the AI/ML vision and roadmap aligned with business objectives and the digital strategy of the insurance organization. Lead the design and implementation of ML, deep learning, NLP, and GenAI solutions across core business functions. Spearhead use cases such as: Intelligent claims adjudication and fraud analytics Predictive underwriting and pricing optimization Risk scoring and customer lifetime value modeling Virtual assistants and GenAI for customer engagement OCR/NLP for document automation, NER, Spacey Drive adoption of GenAI technologies (e.g., ChatGPT, LLMs, LangChain) in areas like automated policy servicing, chatbots, and document summarization. Oversee end-to-end ML lifecycle from problem framing, data preparation, model training, to deployment and monitoring. Collaborate with engineering, product, actuarial, and operations teams to embed AI models into digital platforms. Establish robust MLOps practices and ensure scalability, reproducibility, and governance of models. Evaluate and implement AI platforms and tools (e.g. Vertex AI, AWS Sagemaker, Hugging Face, Databricks). Build and lead a team of data scientists, ML engineers, and AI researchers. Stay at the forefront of emerging AI trends and regulatory considerations relevant to the insurance industry. Preferred candidate profile Experience in insurance or fintech domain, with a good understanding of insurance workflows and actuarial concepts. Exposure to AI productivity tools like Cursor.io, GitHub Copilot, or Chat GPT for enhanced development velocity. Strategic thinking combined with the ability to be hands-on when needed. Excellent leadership, stakeholder management, and communication skills. Strong understanding of data privacy, model fairness, explainability, and regulatory compliance (e.g., IRDAI). ------------------------------------------------------------------------------------------------------- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field (PhD preferred). 10+ years of experience in data science or machine learning, with at least 35 years in a leadership role. Proven track record of leading AI/ML teams in regulated industries such as insurance, banking, or healthcare. Deep knowledge of machine learning, NLP, deep learning frameworks (Tensor Flow, PyTorch), and model deployment techniques. Experience deploying AI models into production at scale using cloud-native MLOps tools. Expertise in Generative AI, LLMs, Vision LLMs, and Retrieval-Augmented Generation (RAG) is a strong plus. Tech Stack Required- Python , Statistics , Machine Learning Pipelines, Natural Language Processing , LLM, MLOps ,LLMOps, GenAi, AWS, Scikit-lear, keras, Classification | Summarization | Generation | Name Entity Recognition | BIO Tagging | Transformers | CNN | RNN | LSTM | BERT ), Docker | MLflow | Grafana | Wandb | Github Actions / CircleCi / Jenkins | Terraform | Paperspace | Kubernetic |AWS ), LLM, LLMOps, VertexAi, BadRock, OpenAi.

We are looking for a skilled Python Developer who has a strong background in Generative AI. The ideal candidate will be responsible for developing, deploying, and integrating AI models (Gemini, Azure OpenAI etc.) and applications. You will work closely with our data science, engineering, and product teams to build scalable and robust solutions. Key Responsibilities: Design, develop, and deploy Generative AI models using frameworks. Integrate AI models with various applications, ensuring seamless functionality and performance. Collaborate with cross-functional teams to define, design, and ship new features. Write efficient, reusable, and reliable Python code. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications and AI models to improve performance and reliability. Stay updated with the latest advancements in AI and machine learning technologies. Participate in code reviews and provide constructive feedback to peers. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Having IT experience of 4 + Years. Proven experience as a Python Developer with a focus on Generative AI and application integrations. Proficiency in Python and experience with AI/ML frameworks. Strong understanding of machine learning and deep learning algorithms. Experience with API development and cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with software development best practices, including version control (Git), CI/CD, and agile methodologies. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: Experience with Natural Language Processing (NLP) and Generative AI Models. Knowledge of Cloud technologies such as Google Cloud, AWS, Azure.

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Data Scientist / Senior Data scientist/ Lead Data scientist Exp : 6 - 12years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 6 - 10years of overall experience, including at least 2-3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project life cycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 2-3 years experience in GenAI and LLM with overall 6- 12 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background in AI/ML technologies Excellent leadership and communication skills Ability to collaborate with cross-functional teams Experience in the healthcare IT industry is a plus Master's degree in Computer Science or related field Education qualification Master in Computer Science or equivalent Experience range 10 years with 3 4 year in AI/ML Mandatory skills, domain etc Please submit your resume along with a cover letter highlighting your relevant experience and skills & other details like Current CTC (fixed plus variable) Offer in hand (fixed plus variable) Expected CTC Notice period Current Location Open to work from office at Gurgaon Experience in Healthcare domain( good to have) Hands on experience and self rating in the scale of 10 , 10 being the maximum 1. GenAI 2. Predictive AI 3. LLM 4. DL 5. NLP 6. Computer vision/ Assuring you of the best assistance in search of the right career opportunity Thanks & Regards, Surender Intelli Search Services Pvt Ltd, Email: sp@intellisearchonline.net Mobile: 9590270707

Job Description AI/ML Engineer We are seeking a sharp, innovative, and passionate AI/ML Engineer to join our R&D team. You will be responsible for designing and deploying intelligent algorithms that enhance the predictive capabilities of our remote diagnostics platform used in railway signaling and other critical infrastructure. Responsibilities: Build and deploy machine learning and deep learning models for predictive maintenance and anomaly detection. Analyze time-series sensor data to develop accurate failure prediction models. Work with massive datasets – cleaning, preprocessing, feature engineering, and model tuning. Develop and expose ML models as REST APIs for integration into cloud-based systems. Collaborate with domain experts, data engineers, and full stack developers to create robust, production-grade solutions. Perform continuous evaluation and improvement of deployed models (MLOps). Stay updated with the latest AI research and evaluate them for real-world application. Required Skills & Qualifications: 2–5 years of experience in AI/ML project development and deployment. Proficiency in Python , Scikit-learn , Pandas , NumPy . Hands-on experience with TensorFlow or PyTorch . Solid understanding of ML algorithms , classification , regression , clustering , NLP , or computer vision . Experience with model deployment , APIs , and Docker . Knowledge of cloud platforms (AWS/GCP/Azure) is a plus. Strong problem-solving skills and understanding of statistical concepts. Nice to Have: Experience with time-series forecasting and anomaly detection. Prior exposure to predictive maintenance in industrial environments. Familiarity with IoT data and sensor networks.

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Python (Programming Language) Summary: As a Software Development Lead, you will be responsible for developing and configuring software systems using Python. Your typical day will involve applying your knowledge of technologies, methodologies, and processes to support a client or project in Bengaluru. Roles & Responsibilities: - Lead the development and configuration of software systems using Python, applying knowledge of technologies, applications, methodologies, processes, and tools. - Strong exposure to Python/R programming language with exposure to NLP and ML packages with proper coding standards Able to design/develop/customize the solution and deliver within deadline - Collaborate with cross-functional teams to design, develop, and implement software solutions that meet client or project requirements. - Ensure software quality by conducting code reviews, testing, and debugging. - Provide technical guidance and mentorship to junior team members, ensuring their professional growth and development. - Stay updated with the latest advancements in software development, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python. - Must To Have Skills: Experience with Django, Flask, or other Python web frameworks, Pyspark Developer, Word Embedding, Feature Engineering, Text Similarity Sentiment Analysis, Text Classification Clustering, Search Indexing Fuzzy Matching. - Strong understanding of software development methodologies, including Agile and Waterfall. - Experience with version control systems such as Git or SVN. - Solid grasp of software testing and debugging techniques. - Experience with database technologies such as MySQL, PostgreSQL, or MongoDB. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful software solutions.

Job Title: Principal Machine Learning Architect Location: Bengaluru, Hybrid Department: Engineering / Data Science Reports To: Head of AI/ML About the Role: We are seeking a highly experienced Principal Machine Learning Architect to lead the design, development, and deployment of large-scale, high-impact ML solutions across our organization. As a thought leader, you will drive the ML roadmap, architect end-to-end solutions, and ensure our ML infrastructure is scalable, secure, and production-ready. Key Responsibilities: Architecture Leadership: Design and oversee the implementation of scalable, reliable, and efficient machine learning architectures. End-to-End Ownership: Lead the entire ML lifecycle from problem definition, data ingestion, feature engineering, model development, deployment, and monitoring. Strategic Guidance: Define best practices for ML system design, governance, LLM, NLP, Deep Learning, Machine Learning, RAG, MLOps, and responsible AI practices. Collaboration: Work cross-functionally with data scientists, ML engineers, product managers, and infrastructure teams to ensure alignment and integration. Innovation: Evaluate and incorporate new tools, techniques, and research to improve model performance and infrastructure. Mentorship: Provide technical mentorship to ML engineers and data scientists; promote a culture of technical excellence and continuous learning. Scalability: Architect and optimize ML solutions for scalability, performance, and maintainability in cloud and hybrid environments. Security & Compliance: Ensure models and data pipelines adhere to security, fairness, and compliance standards. Required Qualifications: 10+ years of experience in software engineering or data science with at least 5 years in ML architecture or applied ML roles. Advanced degree (MS/PhD) in Computer Science, Machine Learning, Data Science, or a related field. Proven experience building and deploying ML systems at scale (e.g., recommendation systems, NLP, computer vision, time series). Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Deep understanding of data infrastructure, distributed computing, and modern MLOps practices (e.g., MLflow, Kubeflow, Airflow). Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes). Strong knowledge of data privacy, model governance, and responsible AI principles. Preferred Qualifications: Experience with generative AI or LLM deployment. Contributions to open-source ML projects or research publications. Familiarity with data mesh, feature stores, or real-time ML pipelines. Strong communication and leadership skills.Role & responsibilities Preferred candidate profile

Optum AI is UnitedHealth Groups enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone. Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development. Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the worlds top universities. OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities: Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU, NLG, SLU and multidimensional time series forecasting among others Exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduate degree in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Skill Set; NLP, NLU, NLI Architecture: Transformers, Attention Models: GPT, Llama, Mistral Model Quantization Model Optimization Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Experience in the health care industry Preferred Qualification: Experience in the health care industry

Strong knowledge of Python, R, and ML frameworks such as scikit-learn, TensorFlow, PyTorch Experience with cloud ML platforms: SageMaker, Azure ML, Vertex AI LLM Experience such as GPT Hands-on experience with data wrangling, feature engineering, and model optimization Also experienced in developing model wrapers Deep understanding of algorithms including regression, classification, clustering, NLP, and deep learning Familiarity with MLOps tools like MLflow, Kubeflow, or Airflow

Strong knowledge of Python, R, and ML frameworks such as scikit-learn, TensorFlow, PyTorch Experience with cloud ML platforms: SageMaker, Azure ML, Vertex AI LLM Experience such as GPT Hands-on experience with data wrangling, feature engineering, and model optimization Also experienced in developing model wrapers Deep understanding of algorithms including regression, classification, clustering, NLP, and deep learning Familiarity with MLOps tools like MLflow, Kubeflow, or Airflow