Description And Requirements CareerArc Code CA-PS Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for a Python Developer, an innovator at heart, to join a team of highly skilled software developers, responsible for BMC’s Helix Capacity Optimization product. 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 you’re 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 BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 1,180,000 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 885,000 Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. Mid point salary 1,180,000 Max salary 1,475,000 Show more Show less

We are seeking a seasoned and visionary Lead AI Engineer to drive the design, development, and delivery of high-impact AI/ML solutions. As a technical leader, you will guide a team of AI developers in executing large-scale AI/ML projects, mentor them to build expertise, and foster a culture of innovation and excellence. You will collaborate with sales teams during pre-sales calls to articulate technical solutions and work closely with leadership to translate strategic vision into actionable, production-ready AI systems. Responsibilities Architect and lead the end-to-end development of impactful AI/ML models and systems, ensuring scalability, reliability, and performance. Provide hands-on technical guidance to a team of AI/ML engineers, fostering skill development and promoting best practices in coding, model design, and experimentation. Collaborate with cross-functional teams, including data scientists, product managers, and software developers, to define AI product strategies and roadmaps. Partner with the sales team during pre-sales calls to understand client needs, propose AI-driven solutions, and communicate technical feasibility. Translate leadership’s strategic vision into technical requirements and executable project plans. Design and implement scalable MLOps infrastructure for data ingestion, model training, evaluation, deployment, and monitoring. Lead research and experimentation in advanced AI domains such as NLP, computer vision, large language models (LLMs), or generative AI, tailoring solutions to business needs. Evaluate and integrate open-source or commercial AI frameworks/tools to accelerate development and ensure robust solutions. Monitor and optimize deployed models for performance, fairness, interpretability, and cost-efficiency, driving continuous improvement. Mentor and nurture new talent, building a high-performing AI team capable of delivering complex projects over time. Qualifications Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, or a related field. 5+ years of hands-on experience in machine learning or deep learning, with a proven track record of delivering large-scale AI/ML projects to production. Demonstrated ability to lead and mentor early-career engineers, fostering technical growth and team collaboration. Strong proficiency in Python and ML frameworks/libraries (e.g., TensorFlow, PyTorch, HuggingFace, Scikit-learn). Extensive experience deploying AI models in production environments using tools like AWS SageMaker, Google Vertex AI, Docker, Kubernetes, or similar. Solid understanding of data pipelines, APIs, MLOps practices, and software engineering principles. Experience collaborating with non-technical stakeholders (e.g., sales, leadership) to align technical solutions with business objectives. Familiarity with advanced AI domains such as NLP, computer vision, LLMs, or generative AI is a plus. Excellent communication skills to articulate complex technical concepts to diverse audiences, including clients and executives. Strong problem-solving skills, with a proactive approach to driving innovation and overcoming challenges. Show more Show less

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Machine Learning Engineer Location: Chennai,TN 600119 Duration: 24 Months Work Type: Onsite Position Description: Train, Build and Deploy ML, DL Models > Software development using Python, work with Tech Anchors, Product Managers and the Team internally and across other Teams Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end Software development using TDD approach Experience using GCP products & services Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Skills Required: 3+ years of experience in Python software development 3+ years’ experience in Cloud technologies & services, preferably GCP 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 3+ years’ experience with Python, SQL, BQ. Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Skills Preferred: Good Communication, Presentation and Collaboration Skills Experience Required: 2 to 5 yrs Experience Preferred: GCP products & services Education Required: BE, BTech, MCA, M.Sc, ME TekWissen® Group is an equal opportunity employer supporting workforce diversity. Show more Show less

Talent Worx is at the forefront of innovation and is looking for a talented GEN AI with Java developer to join our dynamic team. In this role, you will be responsible for developing cutting-edge applications that leverage generative AI technologies alongside Java to solve complex problems and improve user experiences. You will collaborate with cross-functional teams to design and implement solutions that incorporate state-of-the-art AI models. Location: Bangalore , Pune Requirements Key Responsibilities: Design, develop, and implement applications using Java in conjunction with generative AI technologies Work on deploying and optimizing AI models in software applications Collaborate with data scientists and machine learning engineers to integrate AI solutions into existing systems Develop APIs to facilitate data exchange and AI functionalities Conduct performance tuning and testing to ensure high-level application performance Stay updated on the latest trends and advancements in AI and Java technologies and apply them to development efforts Participate in code reviews and contribute to the development of standards and best practices Required Skills and Qualifications: 10 -15years of experience in software development with a focus on Java Familiarity with generative AI concepts and technologies Basic understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Experience with RESTful APIs and web services Familiarity with version control systems like Git Strong analytical and problem-solving skills Ability to work effectively in a collaborative, fast-paced environment Excellent communication skills Preferred Skills: Exposure to cloud platforms (e.g., AWS, Azure) for AI model deployment Knowledge of containerization technologies (e.g., Docker). Experience in writing unit tests and contributing to quality assurance Understanding of Agile development methodologies Education: Bachelor's degree in Computer Science, Engineering, or a related field Benefits Work with BFSI Clint Show more Show less

As a Data Scientist, you will work with a cross-functional team to identify business challenges and provide data-driven insights. You'll be responsible for data exploration, feature engineering, model development, and production deployment of machine learning solutions. We are seeking someone passionate about working with diverse datasets and applying machine learning techniques to deliver meaningful results. Key Responsibilities: • Collaborate with internal teams to understand business requirements and translate them into data-driven solutions. • Perform exploratory data analysis, data cleaning, and transformation. • Develop and deploy machine learning models and algorithms for predictive and prescriptive analysis. • Conduct A/B testing and evaluate the impact of model implementations. • Generate data visualizations and reports to communicate insights to stakeholders. • Stay updated with the latest developments in data science, machine learning, and industry trends. Qualifications: • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. • 4+ years of experience working as a Data Scientist or in a similar role. • Strong proficiency in Python or R, and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. • Knowledge of data processing frameworks, e.g., Pandas, NumPy, Spark. • Experience with data visualization tools like Tableau, Power BI, or Matplotlib. • Ability to query databases using SQL and familiarity with relational databases. • Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus. • Strong analytical, problem-solving, and communication skills. • Fluent in Spanish and/or Portuguese, with good English proficiency. Must-Have Skills: Excellent English Communication Skills Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. AI Engineer is tasked with the design, development, and deployment of advanced generative AI models and systems. This position requires close collaboration with data scientists, product managers, and other stakeholders to integrate generative AI solutions into existing products and develop new innovative features. Proficiency in the Agentic AI framework is vital for coordinating multiple autonomous AI agents to accomplish complex tasks. Primary Responsibilities Implement Generative AI Models: Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing data or inputs Data Processing: Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets Model Deployment: Deploy generative AI models into production environments, ensuring scalability and robustness Optimization: Conduct model testing, validation, and optimization to enhance performance Integration: Work with cross-functional teams to seamlessly integrate generative AI solutions into products Research: Stay current with the latest advancements in generative AI technologies and practices Agentic AI Framework: Utilize the Agentic AI framework to coordinate multiple AI agents for the completion of complex tasks Mentorship: Provide mentorship to junior team members and offer technical guidance 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 Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering with a focus on AI/ML Experience with data preprocessing and analysis Knowledge of the Agentic AI framework and its application in AI systems Proficiency in machine learning frameworks such as TensorFlow and PyTorch Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) Proven excellent problem-solving abilities and algorithmic thinking Proven solid communication and teamwork skills Preferred Qualifications Experience with data processing Knowledge of version control systems like Git Understanding of Generative AI, associated technologies and frameworks like RAG, agents etc. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Senior Data Scientist Location: Chennai Duration: 12 Months Work Type: Onsite Position Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity. Show more Show less

Talent Worx is at the forefront of innovation and is looking for a talented GEN AI with Java developer to join our dynamic team. In this role, you will be responsible for developing cutting-edge applications that leverage generative AI technologies alongside Java to solve complex problems and improve user experiences. You will collaborate with cross-functional teams to design and implement solutions that incorporate state-of-the-art AI models. Location: Bangalore , Pune Requirements Key Responsibilities: Design, develop, and implement applications using Java in conjunction with generative AI technologies Work on deploying and optimizing AI models in software applications Collaborate with data scientists and machine learning engineers to integrate AI solutions into existing systems Develop APIs to facilitate data exchange and AI functionalities Conduct performance tuning and testing to ensure high-level application performance Stay updated on the latest trends and advancements in AI and Java technologies and apply them to development efforts Participate in code reviews and contribute to the development of standards and best practices Required Skills and Qualifications: 10 -15years of experience in software development with a focus on Java Familiarity with generative AI concepts and technologies Basic understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Experience with RESTful APIs and web services Familiarity with version control systems like Git Strong analytical and problem-solving skills Ability to work effectively in a collaborative, fast-paced environment Excellent communication skills Preferred Skills: Exposure to cloud platforms (e.g., AWS, Azure) for AI model deployment Knowledge of containerization technologies (e.g., Docker). Experience in writing unit tests and contributing to quality assurance Understanding of Agile development methodologies Education: Bachelor's degree in Computer Science, Engineering, or a related field Benefits Work with BFSI Clint Show more Show less

Function: Data Science Job: Machine Learning Engineer Position: Senior Immediate manager (N+1 Job title and name): AI Manager Additional reporting line to: Global VP Engineering Position location: Mumbai, Pune, Bangalore, Hyderabad, Noida. 1. Purpose of the Job – A simple statement to identify clearly the objective of the job. The Senior Machine Learning Engineer is responsible for designing, implementing, and deploying scalable and efficient machine learning algorithms to solve complex business problems. The Machine Learning Engineer is also responsible of the lifecycle of models, once deployed in production environments, through monitoring performance and model evolution. The position is highly technical and requires an ability to collaborate with multiple technical and non-technical profiles (data scientists, data engineers, data analysts, product owners, business experts), and actively take part in a large data science community. 2. Organization chart – Indicate schematically the position of the job within the organization. It is sufficient to indicate one hierarchical level above (including possible functional boss) and, if applicable, one below the position. In the horizontal direction, the other jobs reporting to the same superior should be indicated. A Machine Learning Engineer reports to the AI Manager who reports to the Global VP Engineering. 3. Key Responsibilities and Expected Deliverables– This details what actually needs to be done; the duties and expected outcomes. Managing the lifecycle of machine learning models Develop and implement machine learning models to solve complex business problems. Ensure that models are accurate, efficient, reliable, and scalable. Deploy machine learning models to production environments, ensuring that models are integrated with software systems. Monitor machine learning models in production, ensuring that models are performing as expected and that any errors or performance issues are identified and resolved quickly. Maintain machine learning models over time. This includes updating models as new data becomes available, retraining models to improve performance, and retiring models that are no longer effective. Develop and implement policies and procedures for ensuring the ethical and responsible use of machine learning models. This includes addressing issues related to bias, fairness, transparency, and accountability. Development of data science assets Identify cross use cases data science needs that could be mutualised in a reusable piece of code. Design, contribute and participate in the implementation of python libraries answering a data science transversal need that can be reused in several projects. Maintain existing data science assets (timeseries forecasting asset, model monitoring asset) Create documentation and knowledge base on data science assets to ensure a good understanding from users. Participate to asset demos to showcase new features to users. Be an active member of the Sodexo Data Science Community Participate to the definition and maintenance of engineering standards and set of good practices around machine learning. Participate to data science team meeting and regularly share knowledge, ask questions, and learn from others. Mentor and guide junior machine learning engineers and data scientists. Participate to internal or external relevant conferences and meet ups. Continuous Improvements Stay up to date with the latest developments in the field: read research papers, attend conferences, and participate in trainings to expand their knowledge and skills. Identify and evaluate new technologies and tools that can improve the efficiency and effectiveness of machine learning projects. Propose and implement optimizations for current machine learning workflows and systems. Proactively identify areas of improvement within the pipelines. Make sure that created code is compliant with our set of engineering standards. Collaboration with other data experts (Data Engineers, Platform Engineers, and Data Analysts) Participate to pull requests reviews coming from other team members. Ask for review and comments when submitting their own work. Actively participate to the day-to-day life of the project (Agile rituals), the data science team (DS meeting) and the rest of the Global Engineering team 4. Education & Experience – Indicate the skills, knowledge and experience that the job holder should require to conduct the role effectively Engineering Master’s degree or PhD in Data Science, Statistics, Mathematics, or related fields 5 years+ experience in a Data Scientist / Machine Learning Engineer role into large corporate organizations Experience of working with ML models in a cloud ecosystem Statistics & Machine Learning Statistics : Strong understanding of statistical analysis and modelling techniques (e.g., regression analysis, hypothesis testing, time series analysis) Classical ML : Very strong knowledge in classical ML algorithms for regression & classification, supervised and unsupervised machine learning, both theoretical and practical (e.g. using scikit-learn, xgboost) ML niche: Expertise in at least one of the following ML specialisations: Timeseries forecasting / Natural Language Processing / Computer Vision Deep Learning: Good knowledge of Deep Learning fundamentals (CNN, RNN, transformer architecture, attention mechanism, …) and one of the deep learning frameworks (pytorch, tensorflow, keras) Generative AI: Good understanding of Generative AI specificities and previous experience in working with Large Language Models is a plus (e.g. with openai, langchain) MLOps Model strategy : Expertise in designing, implementing, and testing machine learning strategies. Model integration : Very strong skills in integrating a machine learning algorithm in a data science application in production. Model performance: Deep understanding of model performance evaluation metrics and existing libraries (e.g., scikit-learn, evidently) Model deployment: Experience in deploying and managing machine learning models in production either using specific cloud platform, model serving frameworks, or containerization. Model monitoring : Experience with model performance monitoring tools is a plus (Grafana, Prometheus) Software Engineering Python: Very strong coding skills in Python including modularity, OOP, data & config manipulation frameworks (e.g., pandas, pydantic) etc. Python ecosystem: Strong knowledge of tooling in Python ecosystem such as dependency management tooling (venv, poetry), documentation frameworks (e.g. sphinx, mkdocs, jupyter-book), testing frameworks (unittest, pytest) Software engineering practices: Experience in putting in place good software engineering practices such as design patterns, testing (unit, integration), clean code, code formatting etc. Debugging : Ability to troubleshoot and debug issues within machine learning pipelines Data Science Experimentation and Analytics Data Visualization : Knowledge of data visualization tools such as plotly, seaborn, matplotlib, etc. to visualise, interpret and communicate the results of machine learning models to stakeholders. Basic knowledge of PowerBI is a plus Data Cleaning : Experience with data cleaning and preprocessing techniques such as feature scaling, dimensionality reduction, and outlier detection (e.g. with pandas, scikit-learn). Data Science Experiments : Understanding of experimental design and A/B testing methodologies Data Processing: Databricks/Spark : Basic knowledge of PySpark for big data processing Databases : Basic knowledge of SQL to query data in internal systems Data Formats : Familiarity with different data storage formats such as Parquet and Delta DevOps Azure DevOps : Experience using a DevOps platform such as Azure DevOps for using Boards, Repositories, Pipelines Git: Experience working with code versioning (git), branch strategies, and collaborative work with pull requests. Proficient with the most basic git commands. CI / CD : Experience in implementing/maintaining pipelines for continuous integration (including execution of testing strategy) and continuous deployment is preferable. Cloud Platform: Azure Cloud : Previous experience with services like Azure Machine Learning Services and/or Azure Databricks on Azure is preferable. Soft skills Strong analytical and problem-solving skills, with attention to detail Excellent verbal and written communication and pedagogical skills with technical and non-technical teams Excellent teamwork and collaboration skills Adaptability and reactivity to new technologies, tools, and techniques Fluent in English 5. Competencies – Indicate which of the Sodexo core competencies and any professional competencies that the role requires Communication & Collaboration Adaptability & Agility Analytical & technical skills Innovation & Change Rigorous Problem Solving & Troubleshooting Show more Show less

The Role: We are looking for an enthusiastic Staff Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay. Responsibilities: Lead the data science team, providing guidance, mentorship, and technical expertise to drive impactful outcomes. Apply advanced data science methodologies, mathematics, and machine learning techniques to solve intricate and strategic business problems. Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy robust data science solutions. Conduct in-depth analysis of large and complex datasets to extract valuable insights and drive actionable recommendations. Present findings, insights, and strategic recommendations to senior stakeholders in a clear and concise manner. Identify key metrics and develop executive-level dashboards to monitor performance and support data-driven decision-making. Oversee multiple projects concurrently, ensuring high-quality deliverables within defined timelines. Train and mentor junior data scientists, fostering their professional growth and fostering a collaborative and innovative team environment. Continuously improve and optimize data science solutions, evaluating their effectiveness and exploring new methodologies and technologies. Drive the deployment of data-driven solutions into production, ensuring seamless integration and effective communication of results. Mandatory Qualifications: 8+ years experience in a data science role, with a track record of delivering impactful solutions in a production environment. Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines. Deep knowledge and expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling. Proficiency in programming languages such as Python, R, or Scala, with experience in building scalable and efficient data science workflows. Deep experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and meet project goals. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders. Proven experience in driving data-driven decision-making processes and influencing strategic initiatives. Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services. A passion for staying up-to-date with the latest advancements in data science and actively exploring new techniques and technologies. Show more Show less

Job Description We are seeking a highly experienced and visionary Director of AI/ML Engineering to lead our AI/ML initiatives. The ideal candidate will have a minimum of 18+ years of experience in software engineering, with at least the last three years dedicated exclusively to AI/ML and Retrieval-Augmented Generation (RAG). This role requires a deep understanding of AI/ML technologies, a proven track record of leading engineering teams, and the ability to drive innovation and excellence in AI/ML projects within an AI-first organization. Role and Responsibilities Leadership and Strategy : Provide technical leadership and strategic direction for the AI/ML engineering team. Develop and execute a roadmap for AI/ML initiatives that align with the company's goals and objectives, transforming the organization into an AI-first entity. Team Management : Lead, mentor, and grow a high-performing team of AI/ML engineers, data scientists, and MLOps professionals. Foster a collaborative and innovative team culture, building an end-to-end AI Agent force. AI/ML Development : Oversee the design, development, and deployment of AI/ML models and algorithms. Ensure the scalability, reliability, and performance of AI/ML solutions, integrating AI in SDLC (Software Development Life Cycle). Project Management : Manage multiple AI/ML projects simultaneously, ensuring timely delivery and alignment with business objectives. Collaborate with cross-functional teams to integrate AI/ML solutions into products and services, driving significant business outcomes. Innovation and Research : Stay current with the latest advancements in AI/ML and RAG technologies. Drive innovation by exploring new techniques, tools, and methodologies to enhance AI/ML capabilities, including the development of a multi-agent platform. Stakeholder Collaboration : Work closely with stakeholders, including product managers, business leaders, and customers, to understand requirements and deliver AI/ML solutions that meet their needs. Quality and Compliance : Ensure that AI/ML solutions adhere to industry standards, best practices, and regulatory requirements. Implement robust testing, validation, and monitoring processes. Skills Needed Technical Expertise : Extensive experience in AI/ML, including deep learning, natural language processing (NLP), computer vision, and RAG. Proficiency in programming languages such as Python, R, and Java. Leadership and Management : Proven track record of leading and managing engineering teams. Strong leadership, mentoring, and team-building skills. Project Management : Excellent project management skills, with the ability to manage multiple projects and priorities. Strong organizational and time-management abilities. Innovation and Problem-Solving : Creative thinker with a passion for innovation. Ability to solve complex problems and drive continuous improvement. Communication and Collaboration : Strong communication and interpersonal skills. Ability to collaborate effectively with cross-functional teams and stakeholders. Educational Background : Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degrees (Master's or Ph.D.) in AI/ML or related disciplines are preferred. Industry Knowledge : Up-to-date knowledge of AI/ML trends, tools, and technologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI/ML frameworks (e.g., TensorFlow, PyTorch). Preferably GCP, Gemini Vertex The last three years must have worked on AI/ML programs, created the solutions and brought the value to the enterprise. Show more Show less

Associate Director - AI/ML Engineering What you will do Let’s do this. Let’s change the world. We are seeking a Associate Director of ML / AI Engineering to lead Amgen India’s AI engineering practice. This role is integral to developing top-tier talent, setting ML / AI best practices, and evangelizing ML / AI Engineering capabilities across the organization. The Associate Director will be responsible for driving the successful delivery of strategic business initiatives by overseeing the technical architecture, managing talent, and establishing a culture of excellence in ML / AI The key aspects of this role involve : (1) prior hands-on experience building ML and AI solutions (2) management experience in leading ML / AI engineering team and talent development (3) Delivering AI initiatives at enterprise scale Roles & Responsibilities: Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development. Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery. Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring. Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value. Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies. Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies. Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems. Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives. Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience Preferred Qualifications: Experience in building AI Platforms & applications at enterprise scale Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI ) Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms. Proficient in programming languages such as Python, R, or Scala. Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud). Proven track record of managing and delivering AI/ML projects at scale. Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities. Experience in regulated industries, preferably life sciences and pharma Good-to-Have Skills: Experience with natural language processing, computer vision, or reinforcement learning. Knowledge of data governance, privacy regulations, and ethical AI considerations. Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms) Experience with AI Observability Professional Certifications (Preferred): Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate Soft Skills: Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. Show more Show less

Position: Data Scientist Location: Trivandrum Job Description : We are urgently looking for a motivated Data Scientist with a focus on Computer Vision and Machine Learning. The candidate will have a passion for solving complex problems using deep learning, image processing, and AI-driven techniques. He shall work closely with a team of data scientists, engineers, etc and to build, optimize, and deploy machine learning models for real-world applications Key Responsibilities : • Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks. • Implement and fine-tune machine learning algorithms for structured and unstructured data analysis. • Preprocess and augment image/video datasets to improve model accuracy and robustness. • Work with frameworks such as YOLO, TensorFlow, PyTorch, and OpenCV to build scalable models. • Assist in deploying models to production environments, including cloud and edge computing platforms. • Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products. • Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning. Qualifications : • Bachelor's or master’s degree in computer science, Data Science, AI/ML, or a related field. • Minimum of 3 year of professional experience in Python programming and AI/ML integrations • Solid understanding of machine learning concepts, neural networks, and deep learning architectures. • Hands-on experience in training and optimizing computer vision models. • Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics. • Strong problem-solving skills and the ability to work in a fast-paced environment. Joining: Immediate to less than 30 days Budget: 13 - 14 LPA Show more Show less

As a Conversational AI Engineer , you will be responsible for both the development and support of AI-powered voice bots, chatbot solutions for our banking clients. You will be involved in the entire lifecycle of these systems, from design and development to deployment and maintenance. Key Responsibilities: Develop and refine NLP/Gen AI models to improve bot accuracy and understanding. Troubleshoot and resolve problems related to AI models. Monitor AI systems for performance, identify potential issues, and implement corrective actions. Act as the primary point of contact for clients and provide timely and effective technical support for AI-related issues and inquiries. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Open to adjusting work hours to accommodate project timelines and client needs. Required Skills and Experience: 2+ years of experience in IT, preferably in the banking or financial industry. Bachelor’s degree in computer science, Engineering, or a related field. Strong understanding of AI concepts, including machine learning, natural language processing, and deep learning. Proficiency in Python programming language and database technologies like MongoDB and NoSQL. Experience with AI frameworks like TensorFlow, PyTorch, or Scikit-learn. Knowledge of cloud platforms (AWS, Azure, GCP) and data engineering principles. Excellent problem-solving, analytical, and troubleshooting skills. Work Location: Noida (Client base) Show more Show less

Company: Chicmic Studios Job Role: Python Machine Learning & AI Developer Experience Required: 3+ Years We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch , TensorFlow , and scikit-learn . Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving , TorchServe , and AWS SageMaker . Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch , TensorFlow , and scikit-learn . Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Computer Vision Engineer Experience: 3-5 Years Exp Salary: Competitive Preferred Notice Period: less than or equal to 30 days Shift: 10:00 AM to 6:00 PM IST Opportunity Type: Hybrid (Gurugram, Haryana) Placement Type: Full Time, Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Computer Vision , Camera Calibration, 3d vision Stupa Sports Analytics (One of Uplers' Clients) is Looking for: Computer Vision Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About Stupa Sports Analytics Stupa is a global sports technology company, driven by our love for table tennis, badminton, padel and pickleball. Our core services include digitized event management systems for sport federations, performance analytics for athletes, OTT for fans and live streaming for betting and media houses. Through our AI enabled video solutions used by national federations and broadcasters, we enhance the viewing experience for fans across the world. About The Role: We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities ● Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis ● Design and optimize camera calibration procedures for various imaging systems ● Create robust stereo vision solutions for depth estimation and object localization ● Implement multi-view geometry techniques for scene understanding and 3D modeling ● Develop efficient triangulation methods for 3D point cloud generation ● Collaborate with cross-functional teams to integrate computer vision solutions into larger systems ● Stay current with the latest advancements in computer vision and contribute to research initiatives Required Qualifications- ● Bachelors in Computer Science, Computer Engineering, or a related field ● 3+ years of experience in computer vision, with a focus on 3D vision techniques ● Strong proficiency in camera calibration methods and tools ● Extensive experience with stereo vision algorithms and epipolar geometry ● In-depth knowledge of multi-view geometry and structure-from-motion techniques ● Proven track record in developing 3D reconstruction pipelines ● Expert-level programming skills in C++ and Python ● Experience with OpenCV, PCL, or similar computer vision libraries ● Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Company: Chicmic Studios Job Role: Python Developer Experience: 2+ Years Job Description: We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with experience in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF) and a solid understanding of machine learning concepts and their practical applications are essential. Key Responsibilities: Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS. Develop and maintain APIs for AI/ML models and integrate them into existing systems. Create and deploy scalable AI and ML models using Python. Ensure the scalability, performance, and reliability of applications. Write clean, maintainable, and efficient code following best practices. Perform code reviews and provide constructive feedback to peers. Troubleshoot and debug applications, identifying and fixing issues in a timely manner. Stay up-to-date with the latest industry trends and technologies to ensure our applications remain current and competitive. Required Skills and Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 2+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, and Cloud Formation. Strong knowledge of Django Rest Framework (DRF) for building APIs. Experience with machine learning libraries and frameworks, such as scikit-learn, Tensor Flow, or PyTorch. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab Job Type: Full-time Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person

Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person

About us: Pixis is a US-based codeless technology company that develops accessible AI to empower brands to scale their performance marketing efforts and augment their decision-making seamlessly. Since its inception, Pixis has been on a mission to develop powerful AI infrastructure that equips marketers across countries with robust plug-and-play AI products, 200+ proprietary, self-evolving AI models without having to write a single line of code. The company has raised a total funding of $209M across Series A, B, C and C1, and is backed by recognized investors including SoftBank Vision Fund 2, Touring Capital, Grupo Carso, General Atlantic, Celesta Capital and Chiratae Ventures. Our customer base includes global brands such as DHL Express, Joe & The Juice, Claroshop, Allbirds, L’Oreal, HDFC Bank, Skoda, Swiggy, Clar and SmartAsset, to name a few. Today Pixis’ talented and diverse team of 300+ spread across over 14 geographies is focused on building incredibly transformative AI products to help customers get the most out of their marketing and demand generation efforts. Get ready to embark on an AI venture at https://pixis.ai/ Why Pixis? We at Pixis believe that nothing is impossible, when you fail fast you learn faster, zero hierarchy, put the team above everything else, get constructive feedback that helps you build better products, and disagree if you disbelieve. These values guide us in everything we do, and is reflected in our employees and the products we build together. Our commitment to fostering an exceptional workplace has been recognized with the prestigious People Workplace Awards 2024 by the HR Association of India, a testament to our dedication to creating an outstanding environment for our employees. Join Pixis and be a part of a team where innovation knows no bounds, every idea counts, and together, we shape the future of technology. Key Responsibilities: As a Generative AI Engineer at Pixis, you will be at the forefront of designing and implementing next-generation AI models that drive real business impact. Your contributions will directly shape our suite of AI-powered products used by industry-leading enterprises. Model Development & Research: Design, develop, and deploy state-of-the-art generative AI models (e.g., GANs, VAEs, Transformers) tailored for enterprise applications. Stay updated with the latest research trends and innovations in generative AI to continually enhance our solutions. Integration & Collaboration: Collaborate with cross-functional teams (data scientists, software engineers, and product managers) to integrate AI models into our SaaS platforms. Work closely with product teams to translate business requirements into scalable AI features. Optimization & Deployment: Perform data preprocessing, feature engineering, and model tuning to ensure high-quality and efficient AI outputs. Optimize model performance through rigorous testing, hyperparameter tuning, and evaluation using relevant metrics. Support the deployment and maintenance of AI solutions in production environments. Implementing feedback mechanisms (collect user input logs, refine model responses, etc.) Documentation & Best Practices: Maintain comprehensive documentation of AI models, methodologies, and experiments. Contribute to the development and refinement of coding standards, testing procedures, and best practices for AI/ML development. Requirements & Skills: Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Professional Experience: 2–4 years of proven, hands-on experience in generative AI Demonstrated ability to develop and deploy state-of-the-art generative models using frameworks like TensorFlow or PyTorch. Technical Prowess: Natural Language Processing (NLP): Experience with LLMs (e.g., GPT, BERT) and conversational AI frameworks. Machine Learning & Generative AI: Familiarity with model training, fine-tuning, and deployment. API Integration: Ability to integrate third-party AI services Experience building or integrating LLM-based chatbots (e.g., designing prompts, context management, multi-turn conversations) is a plus. Familiarity with payment integrations and transaction flows is a plus Soft Skills: A proactive, innovative mindset paired with a collaborative spirit. Exceptional problem-solving skills and the ability to articulate complex ideas clearly. Passion for staying ahead of technological trends and driving forward-thinking solutions. Show more Show less

Proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs). Understanding of generative models and their applications. Proficiency in programming languages such as Python, Go, or Java. Experience in developing APIs and integrating AI models into existing systems. Familiarity with containerization tools (e.g., Docker, Kubernetes). Experience with (CI/CD) pipelines and databases or data lakes, and/or real-time data processing frameworks. Show more Show less

Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0625-0079 Employment Type: Full Time Position Description: Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Position: Manage Consulting Expert- AI Architect Experience: 13-16 years Category: Software Development/ Engineering Shift Timing: General Shift Location: Bangalore Position ID: J0625-0079 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 13 years of relevant experience. We are looking for an experienced and visionary AI Architect with a strong engineering background and hands-on implementation experience to lead the development and deployment of AI-powered solutions. The ideal candidate will have a minimum of 13–16 years of experience in software and AI systems design, including extensive exposure to large language models (LLMs), vector databases, and modern AI frameworks such as LangChain. This role requires a balance of strategic architectural planning and tactical engineering execution, working across teams to bring intelligent applications to life. Your future duties and responsibilities: Design robust, scalable architectures for AI/ML systems, including LLM-based and generative AI solutions. Lead the implementation of AI features and services in enterprise-grade products with clear, maintainable code. Develop solutions using LangChain, orchestration frameworks, and vector database technologies. Collaborate with product managers, data scientists, ML engineers, and business stakeholders to gather requirements and translate them into technical designs. Guide teams on best practices for AI system integration, deployment, and monitoring. Define and implement architecture governance, patterns, and reusable frameworks for AI applications. Stay current with emerging AI trends, tools, and methodologies to continuously enhance architecture strategy. Oversee development of Proof-of-Concepts (PoCs) and Minimum Viable Products (MVPs) to validate innovative ideas. Ensure systems are secure, scalable, and high-performing in production environments. Mentor junior engineers and architects to build strong AI and engineering capabilities within the team. Required qualifications to be successful in this role: Must to have Skills- 13–16 years of overall experience in software development, with at least 5+ years in AI/ML system architecture and delivery. Proven expertise in developing and deploying AI/ML models in production environments. Deep knowledge of LLMs, LangChain, prompt engineering, RAG (retrieval-augmented generation), and vector search. Strong programming and system design skills with a solid engineering foundation. Exceptional ability to communicate complex concepts clearly to technical and non-technical stakeholders. Experience with Agile methodologies and cross-functional team leadership. Programming Languages: Python, Java, Scala, SQL AI/ML Frameworks: LangChain, TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers Data Processing: Apache Spark, Kafka, Pandas, Dask Vector Stores & Retrieval Systems: FAISS, Pinecone, Weaviate, Chroma Cloud Platforms: AWS (SageMaker, Lambda), Azure (ML Studio, OpenAI), Google Cloud AI MLOps & DevOps: Docker, Kubernetes, MLflow, Kubeflow, Airflow, CI/CD tools (GitHub Actions, Jenkins) Databases: PostgreSQL, MongoDB, Redis, BigQuery, Snowflake Tools & Platforms: Databricks, Jupyter Notebooks, Git, Terraform Good to have Skills- Solution Engineering and Implementation Experience in AI Project. Skills: AWS Machine Learning English GitHub Python Jenkins Kubernetes Prometheus Snowflake What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Senior AI Engineer Location: Infopark, Thrissur, Kerala Employment Type: Full-Time Experience Required: Minimum 5 Years providing AI Solutions, including expertise in ML/DL Projects About Us JK Lucent is a growing IT services provider headquartered in Melbourne, Australia, with an operations centre at Infopark, Thrissur, Kerala. We specialize in Software Development, Software Testing, Game Development, RPA, Data Analytics, and AI solutions. At JK Lucent, we are driven by innovation and committed to delivering cutting-edge technology services that solve real-world problems and drive digital transformation. About the Role We are looking for a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced AI systems. This role requires deep expertise in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs). The successful candidate will work on complex AI initiatives, contribute to production-ready systems, and mentor junior engineers. A strong command of professional English and the ability to communicate technical concepts clearly is essential. Roles and Responsibilities Design and develop scalable AI and ML models for real-world applications. Build, fine-tune, and implement Large Language Models (LLMs) for use cases such as chatbots, summarization, and document intelligence. Work with deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Collaborate with cross-functional teams to translate business problems into AI solutions with necessary visualizations using tools like Tableau or Power BI. Deploy models to production environments and implement monitoring and model retraining pipelines. Stay up to date with the latest research and trends in AI, especially in LLMs and generative models. Guide and mentor junior AI engineers, reviewing code and providing technical leadership. Contribute to technical documentation, architecture design, and solution strategies. Ensure models are developed and used ethically and comply with data privacy standards. Requirements Minimum 5 years of experience in AI/ML development with hands-on expertise in model design, development, and deployment. Strong experience working with LLMs and Generative AI tools such as Hugging Face Hub, LangChain, Haystack, LLaMA, GPT, BERT, and T5. Proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, XGBoost, scikit-learn, and Hugging Face Transformers. Solid understanding of mathematics, statistics, and applied data science principles. Experience deploying models using Docker, FastAPI, MLflow, or similar tools. Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI/ML services. Demonstrated experience in working on end-to-end AI solutions in production environments. Excellent English communication skills (verbal and written) and ability to present technical topics. Strong leadership skills and experience mentoring junior developers or leading small technical teams. Bachelor's or Master's in Computer Science, AI, Data Science, or a related discipline. Job Type: Full-time Pay: ₹600,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Application Question(s): 1. Are you able to commute daily to Infopark, Koratty, Thrissur? (Yes/No) 2. How many years of total IT experience do you have? (Numeric) 3. How many years of experience do you have in AI/ML development? (Numeric) 4. How many years of experience do you have working with Large Language Models (LLMs)? (Numeric) 5. Are you proficient in Python? (Yes/No) 6. Have you used frameworks like TensorFlow, PyTorch, or Hugging Face? (Yes/No) 7. Have you deployed AI/ML models to production environments? (Yes/No) 8. Have you worked with cloud platforms like AWS, Azure, or GCP? (Yes/No) * 9. Do you have professional-level proficiency in English? (Yes/No) 10. What is your current notice period in days? (Numeric) 11. What is your expected salary in LPA? (Numeric) 12. What is your current or last drawn salary in LPA? (Numeric) Work Location: In person

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact Join our dynamic Machine Learning and AI team, where we build innovative models and solutions that drive business transformation and unlock new opportunities. You’ll be at the forefront of AI-powered initiatives, collaborating closely with product teams to shape the future of data-driven insights. This position offers high visibility and the chance to directly influence key decisions across the organization. You will report to the Manager of AI. Working Mode: Hybrid (3 days mandatory Office) What You'll Do Technical Leadership & Strategy Lead the design, development, and deployment of machine learning models and systems at scale. Define and drive the technical roadmap for ML initiatives in alignment with business goals. Evaluate and select appropriate ML techniques, architectures, and tools for various problems (e.g., NLP, CV, tabular data). Ensure robust experimentation, validation, and performance benchmarking practices. Team Guidance & Mentorship Mentor and support junior and mid-level ML engineers, guiding them on model development, research approaches, and code quality. Conduct technical reviews of models, pipelines, and code to ensure high standards. Promote a culture of continuous learning, innovation, and scientific rigor within the team. System & Pipeline Development Architect and implement scalable ML pipelines for training, validation, inference, and monitoring. Collaborate with data engineers to ensure high-quality data ingestion, feature engineering, and labeling workflows. Contribute to MLOps practices by building reproducible, testable, and maintainable model delivery frameworks. Assist in designing, developing, and implementing machine learning models for real-world applications. Work on data collection, preprocessing, feature engineering, and model evaluation tasks. Collaborate with cross-functional teams including Data Science, Software Engineering, and Product. Perform exploratory data analysis (EDA) and prepare datasets for training/testing. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and well-documented code in Python or similar languages. Stay updated with the latest developments in AI/ML research and tools. Assist in model optimization, hyperparameter tuning, and performance scaling. Stay current with the latest industry trends and technologies, contributing innovative ideas to ongoing projects. Test and validate models to ensure their reliability and effectiveness in production environments. Work with large datasets to extract meaningful insights using various statistical and ML techniques. Required Skills What We're Looking For Bachelor’s or master’s degree in computer science, Engineering, or a related field is required. 5+ years of experience in software development, with a focus on systems handling large-scale data operations. Strong foundation in Machine Learning concepts (supervised/unsupervised learning, regression, classification, clustering, etc.). Good programming skills in Python (or similar languages like R, Java, C++). Hands-on experience with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Understanding of data structures, algorithms, and basic mathematics/statistics and database management systems. Excellent verbal and written communication skills, capable of articulating complex concepts to technical and non-technical audiences. Familiarity with data handling tools (e.g., Pandas, NumPy, SQL). Good analytical, problem-solving, and communication skills. Ability to learn new technologies quickly and work independently or as part of a team. Ability to work collaboratively in a team environment, contributing to group success while expanding personal skills. Desired Skills Exposure to deep learning, NLP, computer vision, or reinforcement learning projects (academic or internships). Knowledge of cloud platforms like AWS, Azure, or GCP. Familiarity with version control systems (e.g., Git). Understanding of MLOps concepts and pipelines (bonus) What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn More About Our Benefits Here. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. Show more Show less

Senior AI Engineer Location: Infopark, Thrissur, Kerala Employment Type: Full-Time Experience Required: Minimum 5 Years providing AI Solutions, including expertise in ML/DL Projects About Us JK Lucent is a growing IT services provider headquartered in Melbourne, Australia, with an operations centre at Infopark, Thrissur, Kerala. We specialize in Software Development, Software Testing, Game Development, RPA, Data Analytics, and AI solutions. At JK Lucent, we are driven by innovation and committed to delivering cutting-edge technology services that solve real-world problems and drive digital transformation. About the Role We are looking for a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced AI systems. This role requires deep expertise in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs). The successful candidate will work on complex AI initiatives, contribute to production-ready systems, and mentor junior engineers. A strong command of professional English and the ability to communicate technical concepts clearly is essential. Roles and Responsibilities · Design and develop scalable AI and ML models for real-world applications. · Build, fine-tune, and implement Large Language Models (LLMs) for use cases such as chatbots, summarization, and document intelligence. · Work with deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. · Collaborate with cross-functional teams to translate business problems into AI solutions with necessary visualizations using tools like Tableau or Power BI. · Deploy models to production environments and implement monitoring and model retraining pipelines. · Stay up to date with the latest research and trends in AI, especially in LLMs and generative models. · Guide and mentor junior AI engineers, reviewing code and providing technical leadership. · Contribute to technical documentation, architecture design, and solution strategies. · Ensure models are developed and used ethically and comply with data privacy standards.  Requirements · Minimum 5 years of experience in AI/ML development with hands-on expertise in model design, development, and deployment. · Strong experience working with LLMs and Generative AI tools such as Hugging Face Hub, LangChain, Haystack, LLaMA, GPT, BERT, and T5. · Proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, XGBoost, scikit-learn, and Hugging Face Transformers. · Solid understanding of mathematics, statistics, and applied data science principles. · Experience deploying models using Docker, FastAPI, MLflow, or similar tools. · Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI/ML services. · Demonstrated experience in working on end-to-end AI solutions in production environments. · Excellent English communication skills (verbal and written) and ability to present technical topics. · Strong leadership skills and experience mentoring junior developers or leading small technical teams. · Bachelor's or Master's in Computer Science, AI, Data Science, or a related discipline. Show more Show less

We are seeking a passionate and dedicated machine learning intern to join our team. As an intern, you will work closely with experienced data scientists and engineers to develop, test, and deploy machine learning models. This is an excellent opportunity to gain hands-on experience with cutting-edge technologies and contribute to real-world projects. Selected Intern's Day-to-day Responsibilities Include Collaborate with the team to collect, preprocess, and analyze datasets. Develop and train machine learning models for specific use cases. Evaluate model performance using appropriate metrics and improve accuracy and efficiency. Assist in deploying ML models into production environments. Document processes, findings, and insights throughout the project lifecycle. Stay updated on the latest trends and advancements in machine learning and AI. Qualifications Currently pursuing or recently completed a degree in computer science, data science, Machine Learning, or a related field. Strong knowledge of programming languages such as Python (preferred) or R. Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Basic understanding of supervised and unsupervised learning, NLP, or computer vision. Hands-on experience with data preprocessing and visualization libraries (e.g., Pandas, NumPy, Matplotlib). Problem-solving mindset and eagerness to learn new technologies. Preferred Skills Experience with SQL and working with databases. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. Understanding of version control systems (e.g., Git). About Company: LineupX is a B2B company that streamlines talent acquisition in just 4 easy steps. Our solution integrates human and machine intelligence to deliver an unparalleled experience for organizations and individuals alike. The industry we aim to revolutionize is currently valued at $400 billion globally. LineupX utilizes technology-driven recruitment solutions, employing machine learning and human expertise to redefine global talent acquisition practices. LineupX is an early-stage startup with promising traction, supported by angel investments, and generating revenue. We have been recognized by SINE IIT Bombay as a high-potential startup and endorsed by Canqbate50, a Canada-based startup program aimed at identifying and funding the top 50 startups from India to establish operations in Canada. Show more Show less