1936 Preprocessing Jobs - Page 7

In this Job, you will: As a Gen AI Engineer at Telerapp, you will play a crucial role in designing, developing, and implementing cutting-edge generative artificial intelligence models and systems. Your expertise will contribute to creating AI-powered solutions that generate high-quality clinically relevant texts while pushing the boundaries of creativity and innovation. You will collaborate closely with cross-functional teams to deliver AI-driven products that reshape healthcare industries and user experiences. This role requires a deep understanding of machine learning, neural networks, and generative modeling techniques. To join, you should: Have 3+ years of full-time industry experience. Have hands-on experience in contemporary AI, such as, training generative AI models such as LLMs and image-to-text models, improving upon pre-trained models, evaluating these models, feedback loop etc. Have specialized expertise in model fine-tuning, RLHF, RAG, LLM tool use, etc. Have experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures. Have proficiency in Python, PySpark, TensorFlow, PyTorch, Keras, Transformer, and cloud platforms such as Google Cloud Platform (GCP) or Vertex AI or similar platforms. Have to collaborate with software engineers to integrate generative models into production systems. Ensure scalability, reliability, and efficiency of the deployed models. Have experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings. Your Responsibilities: Develop new LLMs for medical imaging. Developing and implementing methods that improve training efficiency and extend or improve LLM capabilities, reliability, and safety in the realm of image-to-text generation using medical data. Perform data preprocessing, indexing, and feature engineering specific to healthcare image and text data. Keep up to date with the research literature and think beyond the state of the art to address the needs of our users. Preferred Qualifications: Master’s degree in a quantitative field such as Computer Science or Data Science Salary: Market competitive For immediate consideration, send your CV at hr@telerapps.com.

Company Description What’s up Kisan is an AgriTech platform leveraging AI to empower Indian farmers with expert advice, personalized crop guidance, and real-time solutions. Our mission is to make farming smarter, more sustainable, and prosperous by integrating technology with traditional practices. We aim to support farmers, enabling them to grow, thrive, and lead the future of Indian agriculture. Role Description This is a full-time on-site role for an AI/ML Specialist, located in Ernakulam. The AI/ML Specialist will be responsible for developing and implementing machine learning models to analyze agricultural data, providing insights that enhance farming practices. Daily tasks include data collection, preprocessing, building, testing, and deploying AI models, and collaborating with cross-functional teams to optimize solutions. The role also involves continuous monitoring and improvement of the AI systems to ensure they meet the evolving needs of Indian farmers. Qualifications Experience in developing and implementing machine learning algorithms Skills in data collection, preprocessing, and analysis Knowledge of AI model building, testing, and deployment Proficiency in programming languages such as Python, R, or Java Ability to work collaboratively with cross-functional teams Strong problem-solving and analytical skills Experience in the agriculture industry is a plus Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field

* Experience in SeaFood Processing Industry is must * Preprocessing ,Processing ,Iqf must * To Handle team of production supervisors *Engaged in pricing calculation *Responsible for over all production activities Call 044-26284700 Required Candidate profile Candidate experienced for Seafood Industry must Processing industry is must Exp in Shrimp, Vannamei handling is must Ability to handle production with a team is a must exp in all production activity

We are looking for a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP) . The ideal candidate should have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Key Responsibilities Develop and implement AI/ML models . Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs. Fine-tune and optimize Large Language Models (LLMs) for various applications. Design and train custom Machine Learning models using structured and unstructured data. Leverage NLP techniques such as text summarization, Named Entity Recognition (NER). Implement ML pipelines and deploy models in cloud environments (AWS/GCP/Azure). Collaborate with cross-functional teams to integrate AI-driven solutions into business applications. Stay updated with latest AI advancements and apply innovative techniques to improve model performance. Required Skills & Qualifications 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI . Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn . Hands-on experience with NLP models , including BERT, GPT, T5, LLaMA, and Stable Diffusion . Expertise in data preprocessing, feature engineering, and model evaluation . Experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes) . Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Ability to fine-tune LLMs and work with prompt engineering . Strong problem-solving skills and ability to work in agile environments . Educational Requirements Bachelor's, Master's, or PhD in Computer Science/Artificial Intelligence/Information Technology Preferred Skills (Good To Have) Experience with Reinforcement Learning (RLHF) and multi-modal AI . Familiarity with AutoML, Responsible AI (RAI), and AI Ethics . Exposure to Graph Neural Networks (GNNs) and time-series forecasting. Contributions to open-source AI projects or research papers. Skills:- Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python and Large Language Models (LLM)

Experience-5+years Notice Period-30days or Early Joiners Must have Skills-LLM, Advance RAG, NLP, transformer model, LangChain Please send resume to umaparvathyC@hexaware.com Job Description: Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks: TensorFlow, PyTorch, Keras Generative AI Models: GANs, VAEs, Transformers Agentic AI Tools: OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries: NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries: OpenCV, TensorFlow, PyTorch Secondary Skills Expertise in building, deploying, and fine-tuning natural language understanding, questioning, and semantic reasoning systems. Experience in improving and fine-tuning model performance and implementing new technologies. Data pipelines, Data Analytics

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Job Description: - You'll be Responsible for:  Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications  Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies  Drive innovation in AI agent development and orchestration for automated decisionmaking systems  Establish best practices for responsible AI development and deployment What you'd have:  AI-ML Engineer or Data Scientist with 3 – 11 years of relevant experience  Strong expertise in modern AI frameworks and tools:  ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn)  LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)  Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have  Hands-on experience with:  Generative AI and foundation models  Prompt engineering and LLM fine-tuning  AI agent development and orchestration  RAG (Retrieval-Augmented Generation) systems  Proven experience in data preparation, including:  Advanced data preprocessing techniques  Feature engineering  Data quality assessment and improvement  Proficiency in data exploration tools (Pandas, Numpy, Polars)  Strong programming skills in Python; R is a plus  Deep understanding of:  Statistics and probability  ML/DL algorithms  AI governance and responsible AI practices  Experience with:  Large-scale data processing  Model deployment and MLOps  Cost optimization for AI systems  Track record of 3-5 successful AI/ML projects in production  Excellent communication skills and team leadership ability  Continuous learning mindset for emerging AI technologies Skills:  Statistics and Mathematics  Classical Machine Learning  Deep Learning and Neural Networks  Generative AI and LLMs  Agentic AI Development  MLOps and Production Engineering  Data Engineering  Model Optimization and Tuning  AI Governance and Ethics  Team Leadership Why join us?  Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.  Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development.  Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Job Description Job Title: Senior Analyst - Data Analytics Location: Pan India Candidate Specifications Candidate should have 3+ years of experience in Data Analytics and reporting, Databricks, Power BI, Snowflake. Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R. Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue. Hands-on experience in building and deploying machine learning models. Ability to translate complex data into actionable insights. Excellent problem-solving and communication skills Job Description Design and build interactive dashboards and reports using Power BI and Microsoft Fabric Perform advanced data analysis and visualisation to support business decision-making. Develop and maintain data pipelines and queries using SQL and Python. Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights. Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows. Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value. Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner. Use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Document data science workflows and maintain reproducibility of experiments and models Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Professional Certifications (preferred Or In Progress) Microsoft Certified: Power BI Data Analyst Associate (PL-300) SnowPro Core Certification (Snowflake) Microsoft Certified: Azure Data Engineer Associate AWS Certified: Data Analytics � Specialty Skills Required RoleSenior Analyst - Data Analytics - Pan India Industry TypeBanking/ Financial Services Functional AreaITES/BPO/Customer Service Required Education B Com Employment TypeFull Time, Permanent Key Skills DATA ANALYTIC S DATABRICKS P O W ER BI REPORTING Other Information Job CodeGO/JC/687/2025 Recruiter NameHemalatha

We are seeking a skilled and motivated Data Scientist with 3–5 years of hands-on experience in data analytics, machine learning, and business intelligence. The ideal candidate will be responsible for deriving actionable insights from data, building predictive models, and supporting data-driven decision-making across various business units. Key Responsibilities: Analyze structured and unstructured datasets to extract insights and identify trends.Design and implement machine learning models for classification, regression, clustering, and recommendation. Collaborate with business stakeholders to understand objectives and translate them into data solutions. Perform data wrangling, preprocessing, feature engineering, and model validation. Build dashboards and reports using visualization tools like Power BI or Tableau. Present findings and recommendations to technical and non-technical audiences. Contribute to model deployment and monitoring processes. Required Skills & Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3–5 years of industry experience in a Data Scientist or similar role. Proficient in programming languages such as Python or R . Strong experience with data manipulation tools like pandas , NumPy , and machine learning libraries like scikit-learn , XGBoost , or TensorFlow/PyTorch . Solid knowledge of SQL and database querying. Experience with data visualization tools like Power BI , Tableau , or Matplotlib/Seaborn . Familiarity with version control (e.g., Git) and basic software development practices. Preferred Qualifications: Experience working with cloud platforms (AWS, Azure, or GCP). Exposure to big data tools (Spark, Hadoop) is a plus. Knowledge of NLP, time-series forecasting, or deep learning techniques is desirable. Strong problem-solving and communication skills. What We Offer: A collaborative, innovative work environment. Opportunities to work on real-world data challenges across industries. Access to modern tools, cloud platforms, and machine learning infrastructure. Competitive salary and performance-based incentives. Job Type: Full-time Pay: From ₹30,000.00 per month Benefits: Food provided Schedule: Day shift Work Location: In person

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist – GBS Commercial Location: Bangalore Reporting to: Senior Manager – GBS Commercial Purpose of the role We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Key tasks & accountabilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Qualifications, Experience, Skills Level of educational attainment required: BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Previous work experience required: Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Technical skills required: Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) And above all of this, an undying love for beer! We dream big to create future with more cheers.

Job Title: AI/ML Engineer Location: Mohali Phase 8b Experience - 2 - 4 Years Job Summary: We are seeking a skilled AI/ML Engineer to develop and implement machine learning models and AI solutions. You will work with large datasets, design intelligent systems, and contribute to building scalable AI products. Key Responsibilities: Design, train, and deploy machine learning models. Collaborate with data scientists, engineers, and product teams. Optimize model performance and ensure scalability. Work with frameworks like TensorFlow, PyTorch, or Scikit-learn. Required Skills: Strong understanding of ML algorithms, data preprocessing, and model evaluation. Proficient in Python, and experience with ML libraries. Experience with cloud platforms (AWS, GCP, or Azure) is a plus. Bachelor's or Master’s in Computer Science, AI, or related field. Nice to Have: Experience with NLP, computer vision, or deep learning. Familiarity with MLOps and model deployment pipelines. Contact us @ HR@base2brand.com /7833075330 Job Types: Full-time, Permanent Work Location: In person Speak with the employer +91 07833075330

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Jr. Software Engineer (AI ML) Experience Range : 0 to 2 years What is the work? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 0-2 years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What skills and experience are we looking for? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure. Apply (Gmail) Apply (Form)

Job Description: JS TechAlliance Consulting Private limited is a global IT solutions company that provides full-cycle services in the areas of software development, web-based enterprise solutions, mobile application design, and portal development. We combine solid business domain experience, technical expertise, profound knowledge of industry trends, and a quality-driven delivery model to offer progressive end-to-end web solutions. Our goal is to provide specialized mobile software and web business solutions while providing business consulting to our clients. Our team of Android/iOS/J2EE/Web professionals has rich IT experience and a better capability to understand your business world. Roles and Responsibilities: Assist in the development and implementation of machine learning algorithms and models. Participate in data collection, preprocessing, and feature engineering tasks. Collaborate with team members to conduct research and experimentation to improve model performance. Support the deployment of machine learning models into production environments. Perform exploratory data analysis to gain insights and identify trends in the data. Help maintain and optimize existing machine learning pipelines and workflows. Stay up-to-date with the latest developments and trends in artificial intelligence and machine learning. Requirements: B.Tech (Data Science /AI\ML) Excellent English Communication Skills Indore Localite Candidate Internship Duration: 6 Months In-Office (Fulltime Internship) Job Location: Indore Joining: Immediate Share Resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 Whatsapp - 8224006397 Job Type: Internship Contract length: 6 months Application Question(s): Immediate Joiner Do you live in Indore? Can you attend an In-Office Interview? How much would you rate yourself in English Communication out of 10? Have you completed your B.Tech (Data Science /AI\ML)? (Mandatory) Education: Bachelor's (Required) Language: English (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Role Title: Machine Learning Analyst Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI / UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 1-3 years of experience 1+ years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 1+ years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C / C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools / products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex – RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Job Title: Jr. AI Engineer Location: Remote Job Type: Full-Time Job Summary: We are looking for a Jr. AI Engineer with a passion for Artificial Intelligence, Natural Language Processing (NLP), and Large Language Models (LLMs). The ideal candidate should have prior internship experience in AI/ML, familiarity with modern AI frameworks, and a strong desire to learn and grow in this field. You will work with the team to develop, fine-tune, and integrate LLMs, and contribute to building intelligent and scalable AI solutions. Key Responsibilities: 1. AI & LLM Development ● Assist in fine-tuning and customizing LLMs for specific use cases. ● Curate, preprocess, and manage datasets for training and evaluation. ● Experiment with AI model architectures and fine-tuning strategies under guidance. ● Support the integration of LLMs into web applications and APIs. 2. Data Handling & Analysis ● Perform data cleaning, transformation, and preparation for AI pipelines. ● Conduct exploratory data analysis and model evaluation. ● Work on data annotation and augmentation tasks when required. 3. AI Research Support ● Stay updated with the latest AI and NLP trends, research papers, and tools. ● Assist senior engineers in implementing state-of-the-art AI techniques. ● Contribute to internal technical documentation and knowledge sharing. 4. Testing & Optimization ● Help test AI models for accuracy, performance, and reliability. ● Identify issues in model predictions and suggest improvements. ● Support the deployment and monitoring of AI models on cloud or edge environments. 5. Collaboration & Learning ● Collaborate with developers, data scientists, and AI engineers. ● Participate in code reviews and brainstorming sessions. ● Continuously learn new AI technologies and frameworks. Qualifications: ● Education: Bachelor’s degree in Computer Science, Data Science, AI, or related field (or equivalent experience). ● Experience: Internship experience in AI/ML, NLP, or data science projects is mandatory. ● Skills: ○ Basic understanding of machine learning algorithms and NLP concepts. ○ Familiarity with Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). ○ Knowledge of data preprocessing and dataset management. ○ Experience with REST APIs and version control (Git) is a plus. ○ Strong problem-solving and analytical skills. What We Offer: ● Competitive salary and growth opportunities. ● Hands-on exposure to LLMs and cutting-edge AI technologies. ● Collaborative and learning-focused environment. ● Guidance from senior AI engineers to build your career.

We are looking for a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP) . The ideal candidate should have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Key Responsibilities: Develop and implement AI/ML models . Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs. Fine-tune and optimize Large Language Models (LLMs) for various applications. Design and train custom Machine Learning models using structured and unstructured data. Leverage NLP techniques such as text summarization, Named Entity Recognition (NER). Implement ML pipelines and deploy models in cloud environments (AWS/GCP/Azure). Collaborate with cross-functional teams to integrate AI-driven solutions into business applications. Stay updated with latest AI advancements and apply innovative techniques to improve model performance. Required Skills & Qualifications: 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI . Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn . Hands-on experience with NLP models , including BERT, GPT, T5, LLaMA, and Stable Diffusion . Expertise in data preprocessing, feature engineering, and model evaluation . Experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes) . Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Ability to fine-tune LLMs and work with prompt engineering . Strong problem-solving skills and ability to work in agile environments . Educational Requirements: Bachelor's, Master's, or PhD in Computer Science/Artificial Intelligence/Information Technology Preferred Skills (Good to Have): Experience with Reinforcement Learning (RLHF) and multi-modal AI . Familiarity with AutoML, Responsible AI (RAI), and AI Ethics . Exposure to Graph Neural Networks (GNNs) and time-series forecasting. Contributions to open-source AI projects or research papers.

About The Company Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications Job Description The role is part of the finance Centre of Excellence primarily as acting as a data analyst and will support planning & analysis in any one or more areas of finance including reporting & compliance, taxation, and treasury related areas. FPA COE is function under ambit of Planning and Analytics within FP&A- This role is primarily responsible for base data management, transformation of data to preliminary analytics, dashboarding and automation on all financial and non-financial parameters, which aid to management for business decision making Candidate will be responsible for overseeing data systems and overall reporting frameworks in FPA, and ensure the integrity and precision of data to generate insights and drive strategic business decisions. Responsibilities For the Planning and Analytics vertical, eligible candidate should be able to end to end data management including below, Data collection: Gathering data from primary or secondary sources, such as sales numbers, market research, or logistics. Data preparation: Cleaning and preprocessing data for accuracy Data analysis: Using statistical techniques to analyze data, identify patterns and trends, and perform complex analyses Data presentation: Creating visualizations and reports for stakeholders, using charts and graphs to present results Data management: Maintaining databases and utilizing SQL for data handling. Staying updated on industry trends and new technologies Business challenges: Addressing specific business challenges with analytical solutions Collaboration: Collaborating with cross-functional teams and providing technical support and mentoring to other analysts Quality assurance: Participating in quality assurance activities and supervising performance and quality assurance processes to pinpoint areas for enhancement In addition, candidate should have good communication and collaboration skills for cross-functional teams and providing technical support to other analysts Immediate Attention - GR and others dashboards control and data security with data hosting solution etc. GR dashboard analytics like with business ops. Documentation of process. Simplification(using SQL, python etc.) and regularization of ad hoc tasks. Hygiene parameters on accuracy check and other aspects. Customer master ownership. (align asks from Sachin, Business ops (Amol J or Anup), SIP team) Regular - Long Term Revenue MIS -Automation and Data Models for Dashboard NR review -Exception tracker - Data models and exception report dashboards Regional P&L Customer KPI ETR Model and automation MIS repository Data models for Forecasting and outlook. Minimum Qualification & Experience BTECH,MTECH, BCA, MCA or equivalent. Degree or Certification in relation to data management (like Data Science, Business Analysis, Python, Web Technologies etc.) 2 to 3 years experience in Finance MIS and analytics in telecom industry or equivalent related field. Desired Skill sets Power BI \ Qlik sense Skills \ Python SAP exposure required. Exceptional knowledge of Advanced Excel. Familiarity with finance and statistical analysis software Understanding of financial and accounting principles Understanding across finance domains (taxation, treasury etc.)

Role Summary: The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. This individual will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. Key Responsibilities: AI System Design and Architecture: Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Generative AI Model Development: Lead the design and development of generative AI models, including but not limited to transformers and Large Language Models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. AI Strategy & Innovation: Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to improve performance and capabilities continually. Contribute to the development of AI strategies that align with organizational goals and objectives. Required Skills & Experience: Proven experience in AI/ML model development, with a focus on generative models such as LLM, transformers. Strong experience in MLOps. Strong experience designing and deploying scalable AI architectures in the cloud environments (AWS/Azure/GCP). Experience with AI frameworks and libraries such as Tensor Flow PyTorch. Experience with data engineering and pre-processing for generative models. Deep understanding of deep learning, reinforcement learning, unsupervised learning, and Natural Language Processing (NLP). Proficiency in Python and other relevant programming languages. Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.

HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Architect Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Designing and Architecting End-to-End AI/ML Solutions for Marketing: The architect is responsible for designing robust, scalable, and secure AI/ML solutions specifically tailored for marketing challenges. This includes defining data pipelines, selecting appropriate machine learning algorithms and frameworks (e.g., for predictive analytics, customer segmentation, personalization, campaign optimization, sentiment analysis), designing model deployment strategies, and integrating these solutions seamlessly with existing marketing tech stacks and enterprise systems. They must consider the entire lifecycle from data ingestion to model monitoring and retraining. Technical Leadership: The AI/ML architect acts as a technical leader, providing guidance and mentorship to data scientists, ML engineers, and other development teams. They evaluate and select the most suitable AI/ML tools, platforms, and cloud services (AWS, GCP, Azure) for marketing use cases. The architect is aso responsible for establishing and promoting best practices for MLOps (Machine Learning Operations), model versioning, continuous integration/continuous deployment (CI/CD) for ML models, and ensuring data quality, ethical AI principles (e.g., bias, fairness), and regulatory compliance (e.g., data privacy laws). Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 15+ years of Experience across Data Architecture, Data Science and Machine Learning. Experience in delivering AI/ML models for Marketing Outcomes like Customer Acquisition, Customer Churn, Next Best Product or Offer. This is a mandatory requirement. Experience with Customer Data Platforms (CDP) and Marketing Platforms like Unica, Adobe, SalesForce, Braze, TreasureData, Epsilon, Tealium is mandatory. Experience with AWS SageMaker is advantageous Experience with LangChain, RAG for Generative AI is advantageous. Experience with ETL process and tools like Apache Airflow is advantageous Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Ability to work well within an agile team environment and apply the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required

HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Conduct research to stay updated on the latest AI technologies and methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.

About Us At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with 4-6 years of hands-on experience and deep expertise in Generative AI to design and implement cutting-edge models that address real business challenges. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build scalable, production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills 4-6 years of experience in data science or machine learning roles Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders, etc. Experience with LoRA, PEFT, or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering, and language model safety Hands-on experience with model deployment, APIs, and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI, or AI Assistants Familiarity with LangChain, LLMOps, or serverless model deployment Background in MLOps, Docker/Kubernetes, and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini, or Meta LLaMA

We are seeking a Part-Time AI Engineer with strong technical skills and a passion for building practical, impactful AI solutions. This role is ideal for professionals looking to contribute to cutting-edge AI projects in a flexible capacity. You will collaborate with senior AI architects and cross-functional teams to design, develop, and deploy scalable AI/ML models and tools that solve real-world business problems. Key Responsibilities: Develop and implement AI/ML models using frameworks such as PyTorch , TensorFlow , or Keras . Assist in building AI-enabled services, pipelines, and APIs for integration with enterprise systems. Support data preprocessing, feature engineering, model training, and evaluation tasks. Collaborate with data engineers, analysts, and stakeholders to gather requirements and iterate on model performance. Document code, workflows, and AI solution designs for maintainability and reproducibility. Contribute to proof-of-concept projects and help transition models into production using MLOps tools. Stay updated with the latest AI trends, tools, and techniques. Required Qualifications: Bachelor’s or Master’s degree in Computer Science , Data Science , or a related field. 2+ years of experience in machine learning or applied AI development. Proficiency in Python and familiarity with core libraries like scikit-learn , pandas , NumPy , etc. Hands-on experience with at least one deep learning framework (e.g., PyTorch , TensorFlow ). Knowledge of NLP techniques, time series modeling, or computer vision is a plus. Comfortable working with version control systems like Git and cloud-based environments (e.g., AWS, GCP, or Azure).

Job Summary: We are looking for a highly motivated and skilled Machine Learning Engineer with 1–3 years of experience and a strong interest in Generative AI technologies. The ideal candidate will contribute to the full lifecycle of Generative AI models — from training and optimization to deployment on AWS and inference API development. You will collaborate with a team of engineers and researchers to build cutting-edge AI-powered solutions that have real-world impact. Key Responsibilities: 1. Generative AI Model Development Design, develop, and implement Generative AI models for applications such as text, image, and code generation. Work with large language models (LLMs) or other generative models using frameworks like TensorFlow, PyTorch, and Hugging Face Transformers. Experiment with model architectures, training techniques, and hyperparameter tuning to optimize performance. 2. Model Optimization & Efficiency Apply techniques such as quantization, pruning, and distillation to improve inference speed and reduce resource consumption. Profile and analyze model performance to identify and eliminate bottlenecks. 3. Cloud Deployment on AWS Deploy AI models to AWS using services such as SageMaker, EC2, ECS, or Lambda. Develop scalable and reliable inference pipelines. Use AWS tools for data storage, model management, and monitoring. 4. Inference API Development Design and develop efficient, secure, and scalable RESTful or gRPC APIs to serve deployed AI models. Ensure high availability, maintainability, and performance of APIs. 5. Troubleshooting & Debugging Diagnose and resolve issues related to model performance, deployment, and API functionality. Implement monitoring and logging systems to proactively manage issues. 6. Model Retraining & Continuous Improvement Implement strategies for continuous learning by retraining models with new data and user feedback. Monitor production model performance and trigger retraining workflows as needed. 7. Collaboration & Communication Work closely with ML engineers, data scientists, and software developers to drive project goals. Communicate progress, insights, and challenges effectively with stakeholders. 8. Documentation Create comprehensive documentation for models, training workflows, deployment processes, and APIs. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field. 1–3 years of hands-on experience in machine learning model development and deployment. Sound understanding of Generative AI concepts (e.g., Transformers, GANs, Diffusion Models). Experience with at least one deep learning framework: TensorFlow or PyTorch. Proficiency in Python. Solid knowledge of ML algorithms, data preprocessing, and evaluation metrics. Proven experience in deploying models on AWS. Strong skills in developing and consuming RESTful or gRPC APIs. Familiarity with Git or other version control systems. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience working with LLMs and the Hugging Face Transformers library. Knowledge of MLOps practices and related tools. Experience with Docker, Kubernetes, or other containerization technologies. Familiarity with data engineering tools and pipelines. Experience with monitoring tools such as CloudWatch, Prometheus, or Grafana. Contributions to open-source projects or notable personal AI projects. Job Type: Full-time Benefits: Health insurance Provident Fund Ability to commute/relocate: Pimple Soudagar, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your Notice period? Experience: Machine learning: 1 year (Required) Work Location: In person