4767 Numpy Jobs - Page 41

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Strong debugging, problem-solving, and optimization skills. • Experience with API development and microservices architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks • Competitive Salary: Earn up to ₹6 –10 LPA based on skills and experience. • Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. • Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. • Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth.

We are looking for a seasoned Senior MLOps Engineer to join our Data Science team. The ideal candidate will have a strong background in Python development, machine learning operations, and cloud technologies. You will be responsible for operationalizing ML/DL models and managing the end-to-end machine learning lifecycle from model development to deployment and monitoring while ensuring high-quality and scalable solutions. Mandatory Skills: Python Programming: Expert in OOPs concepts and testing frameworks (e.g., PyTest) Strong experience with ML/DL libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Prophet, NumPy, Pandas) MLOps & DevOps: Proven experience in executing data science projects with MLOps implementation CI/CD pipeline design and implementation Docker (Mandatory) Experience with ML lifecycle tracking tools such as MLflow, Weights & Biases (W&B), or cloud-based ML monitoring tools Experience in version control (Git) and infrastructure-as-code (Terraform or CloudFormation) Familiarity with code linting, test coverage, and quality tools such as SonarQube Cloud & Orchestration: Hands-on experience with AWS SageMaker or GCP Vertex AI Proficiency with orchestration tools like Apache Airflow or Astronomer Strong understanding of cloud technologies (AWS or GCP) Software Engineering: Experience in building backend APIs using Flask, FastAPI, or Django Familiarity with distributed systems for model training and inference Experience working with Feature Stores Deep understanding of the ML/DL lifecycle from ideation, experimentation, deployment to model sunsetting Understanding of software development best practices, including automated testing and CI/CD integration Agile Practices: Proficient in working within a Scrum/Agile environment using tools like JIRA Cross-Functional Collaboration: Ability to collaborate effectively with product managers, domain experts, and business stakeholders to align ML initiatives with business goals Preferred Skills: Experience building ML solutions for: (Any One) Sales Forecasting Marketing Mix Modelling Demand Forecasting Certified in machine learning or cloud platforms (e.g., AWS or GCP) Strong communication and documentation skills

Scope of the Role: The Principal Data Scientist will lead the architecture, development, and deployment of cutting-edge AI solutions, driving innovation in machine learning, deep learning, and generative AI. The role demands cutting edge expertise in advanced Gen AI development, Agentic AI development, optimization, and integration with enterprise-scale applications while fostering an experimental and forward-thinking environment. This senior level hands-on role offers an immediate opportunity to lead next-gen AI innovation, drive strategic AI initiatives, and shape the future of AI adoption at scale in large enterprise and industry applications. Reports To: Chief AI Officer Reportees: Individual Contributor Role Minimum Qualification: Bachelor’s or Master’s/PhD in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field. Advanced certifications in AI/ML frameworks, GenAI, Agentic AI, cloud AI platforms, or AI ethics preferred. Experience: A minimum of 15+ years of experience in AI/ML, with a proven track record in deploying AI-driven solutions – and deep expertise and specialty in Generative AI (use of proprietary and open source LLMs/ SLMs/ VLMs/ LCMs, experience in RAG, fine tuning and developing derived domain-specific models, multi agent frameworks and agentic architecture, LLMOps) Expertise in implementing the Data Solutions using Python programming, pandas, numpy, sklearn, pytorch, tensorflow, Data Visualizations, Machine Learning Algorithms, Deep Learning architectures, LLMs, SLM, VLM, LCM, generative AI, agents, prompt engineering, NLP, Transformer Architectures, GPTs, Computer Vision, and ML Ops for both unstructured and structured data, synthetic data generation Experience in building generic and customized Conversational AI Assistants Experience working in innovation-driven, research-intensive, or AI R&D-focused organizations. Experience in building AI solutions for Construction or Manufacturing, Oil & Gas industries would be good to have. Objective / Purpose: The Principal Data Scientist will drive breakthrough AI innovation for pan-L&T businesses, by developing the scalable, responsible, and production-ready Gen AI and Agentic AI models using RAG with multi LLMs and derived domain specific models where applicable. This role involves cutting-edge research, model deployment, AI infrastructure optimization, and AI strategy formulation to enhance business capabilities and user experiences. Key Responsibilities: AI Model Development & Deployment: Design, train, and deploy ML/DL models for predictive analytics, NLP, computer vision, generative AI and AI Agents. Applied AI Research & Innovation: Explore emerging AI technologies such as LLMs, RAG (Retrieval-Augmented Generation), fine tuning techniques, multi-modal AI, agentic architectures, reinforcement learning, and self-supervised learning with application-orientation. Model Optimization & Scalability: Optimize AI models for inference efficiency, explainability, and responsible AI compliance. AI Product Integration: Work collaboratively with business teams, data engineers, ML Ops teams, and software developers to integrate AI models into applications, APIs, and cloud platforms. AI Governance & Ethics: Ensure compliance with AI fairness, bias mitigation, and regulatory frameworks (GDPR, CCPA, AI Act). Cross-functional Collaboration: Partner with business teams, UX researchers, and domain experts to align AI solutions with real-world applications. AI Infrastructure & Automation: Develop automated pipelines, Agentic model monitoring, and CI/CD for AI Solutions . Technical Expertise: Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn, Regression, Classification, clustering, Ensembling techniques – bagging, boosting, recommender systems, Probability distributions and data visualizations Generative AI & LLMs: OpenAI GPT, Google Gemini, Llama, Hugging Face Transformers, RAG, CAG, KAG, knowledge on Other LLMs, SLM, VLM, LCM, Langchain NLP & Speech AI: BERT, T5, Whisper Computer Vision: YOLO, OpenCV, CLIP, Convolutional Neural Networks(CNN). ML Ops & AI Infrastructure: ML flow, Kubeflow, Azure ML. Data Platforms : Databricks, Pinecone, FAISS, Elasticsearch, Semantic Search, Milvus, Weaviate Cloud AI Services: Azure Open AI & Cognitive Services. Explainability & Responsible AI: SHAP, LIME, FairML. Prompt Engineering Publish internal/external research papers, contribute to AI patents, and present at industry conferences and workshops. Evaluate Open-Source AI/ML frameworks and commercial AI products to enhance the organization’s AI capabilities. Behavioural Attributes: Business Acumen – Ability to align AI solutions with business goals. Market Foresight – Identifying AI trends and emerging technologies. Change Management – Driving AI adoption in dynamic environments. Customer Centricity – Designing AI solutions with user impact in mind. Collaborative Leadership – Working cross-functionally with diverse teams. Ability to Drive Innovation & Continuous Improvement – Research-driven AI development. Key Value Drivers: Advancing AI-driven business transformation – securely, optimally and at scale Reducing time-to-value for AI-powered innovations. Enabling AI governance, compliance, and ethical AI adoption. Future Career Path : The future career path will be establishing oneself as a world class SME having deep domain experience and thought leadership around application of next gen AI technologies in the construction, energy and manufacturing domains. Career would progress from technology specialization into leadership roles, in various challenging positions such as Head – AI Strategy and Chief AI Officer, in driving the enterprise AI strategies, governance, and innovation for various ICs/BUs across the pan L&T Businesses.

The Data Visualization Engineer position at Zoetis India Capability Center (ZICC) in Hyderabad offers a unique opportunity to be part of a team that drives transformative advancements in animal healthcare. As a key member of the pharmaceutical R&D team, you will play a crucial role in creating insightful and interactive visualizations to support decision-making in drug discovery, development, and clinical research. Your responsibilities will include designing and developing a variety of visualizations, from interactive dashboards to static visual representations, to summarize key insights from high-throughput screening and clinical trial data. Collaborating closely with cross-functional teams, you will translate complex scientific data into clear visual narratives tailored to technical and non-technical audiences. In this role, you will also be responsible for maintaining and optimizing visualization tools, ensuring alignment with pharmaceutical R&D standards and compliance requirements. Staying updated on the latest trends in visualization technology, you will apply advanced techniques like 3D molecular visualization and predictive modeling visuals to enhance data representation. Working with various stakeholders such as data scientists, bioinformaticians, and clinical researchers, you will integrate, clean, and structure datasets for visualization purposes. Your role will also involve collaborating with Zoetis Tech & Digital teams to ensure seamless integration of IT solutions and alignment with organizational objectives. To excel in this position, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors will be a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is essential. Additionally, familiarity with data handling tools, omics and network visualization platforms, and dashboarding tools will be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this full-time position are minimal, ranging from 0-10%. Join us at Zoetis and be part of our journey to pioneer innovation and drive the future of animal healthcare through impactful data visualization.,

Wissen Technology is Hiring for Java + Python Developer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We’re looking for a versatile Java + Python Developer who thrives in backend development and automation. You'll be working on scalable systems, integrating third-party services, and contributing to high-impact projects across fintech/data platforms/cloud-native applications Experience: 2-10 Years Location: Bengaluru Key Responsibilities: Design, develop, and maintain backend services using Java and Python Build and integrate RESTful APIs, microservices, and data pipelines Write clean, efficient, and testable code across both Java and Python stacks Work on real-time, multithreaded systems and optimize performance Collaborate with DevOps and data engineering teams on CI/CD, deployment, and monitoring Participate in design discussions, peer reviews, and Agile ceremonies Required Skills: 2–10 years of experience in software development Strong expertise in Core Java (8+) and Spring Boot Proficient in Python (data processing, scripting, API development) Solid understanding of data structures, algorithms, and multithreading Hands-on experience with REST APIs, JSON, SQL/NoSQL (PostgreSQL, MongoDB, etc.) Familiarity with Git, Maven/Gradle, Jenkins, Agile/Scrum Preferred Skills: Experience with Kafka, RabbitMQ, or message queues Cloud services (AWS, Azure, or GCP) Knowledge of data engineering tools (Pandas, NumPy, PySpark, etc.) Docker/Kubernetes familiarity Exposure to ML/AI APIs or DevOps scripting The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation. Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to Work® Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie. Website: www.wissen.com LinkedIn: https://www.linkedin.com/company/wissen-technology Wissen Leadership: https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All Wissen Thought Leadership: https://www.wissen.com/articles/ Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview https://www.glassdoor.com/Reviews/Wissen-Infotech-Reviews-E287365.htm Great Place to Work: https://www.wissen.com/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-institute-india/ https://www.linkedin.com/posts/wissen-infotech_wissen-leadership-wissenites-activity-6935459546131763200-xF2k

Job Description We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Minimum Qualifications Skills and Qualifications: Doctorate (Academic) Degree with 0 years industry experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry Experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems.

Role Type : Data Specialist Experience : 4+ Years Location : Bangalore Notice Period : Immediate to 15 Days Work Mode : 5 Days (WFO) Candidate should be available to take F2F in Bangalore Key Responsibilities Design and build scalable machine learning models to solve real-world business problems. Translate business requirements into clear analytical solutions using data science techniques. Write optimized SQL queries to extract, manipulate, and analyze large datasets. Develop and deploy production-ready code using Python. Collaborate with data engineers, product managers, and business stakeholders to build end-to-end data products. Communicate complex findings in a clear, concise manner to non-technical stakeholders. Continuously monitor and improve the performance of deployed models. Mentor junior data scientists and review their code/models as needed. Requirements/Skill sets Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. 4+ years of hands-on experience in data science, analytics, or machine learning. Expert proficiency in Python , including libraries like pandas, scikit-learn, NumPy, etc. Strong experience in SQL for data extraction and transformation. Proven ability to build and evaluate supervised and unsupervised ML models. Experience with model deployment, version control (e.g., Git), and working in cloud environments (AWS/GCP/Azure). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Role Description: We are seeking an experienced Traffic Data Scientist or Transportation Analyst to join our dynamic team. This role is pivotal in transforming raw traffic data into actionable insights. The ideal candidate will have a strong background in analyzing and modeling traffic patterns, with proven experience in congestion analytics, junction analysis, and building predictive traffic models. This is a unique opportunity to shape the core intelligence of our product and make a significant impact on real-world traffic challenges. While a traditional traffic engineering background is valued, we are primarily looking for an individual with hands-on experience in the specific use cases mentioned below, regardless of their formal title. Key Responsibilities: Congestion Analytics: Develop and implement advanced models to identify, measure, and analyze traffic congestion. You will work to understand the root causes of congestion and predict its formation and dissipation. Junction Analytics: Analyze complex intersections and junctions to model traffic flow, identify bottlenecks, and suggest optimization strategies. Network Modeling: Design and build proprietary traffic network models on top of our existing data infrastructure to simulate traffic flow and test various scenarios. Predictive Analytics: Create, train, and deploy machine learning models to build a robust prediction engine for traffic conditions, including travel times, congestion levels, and incident impacts. Data-driven Insights: Collaborate with our software engineering team to integrate your models and algorithms into our frontend and backend systems, providing our users with actionable and easy-to-understand analytics. Cross-functional Collaboration: Work closely with our product and engineering teams to define feature requirements and contribute to the overall product roadmap. You will also mentor team members with a foundational knowledge of A&M. Qualifications and Skills: Proven experience in traffic analysis and modeling, with a strong portfolio of projects in congestion analytics, junction analysis, and traffic prediction. Proficiency in data analysis and programming languages such as Python or R. Hands-on experience with data science libraries and frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow, or PyTorch). Solid understanding of statistical analysis and machine learning techniques. Experience in building and validating predictive models for time-series data. Familiarity with GIS and geospatial data analysis is a strong plus. Excellent problem-solving skills and the ability to translate complex data into clear and actionable insights. Strong communication and collaboration skills, with the ability to work effectively in a team environment. A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Civil Engineering (with a focus on transportation), or a related field is preferred.

Job Title: AI/ML Engineer Location: 100% Remote Job Type: Full-Time About the Role: We are seeking a highly skilled and motivated AI/ML Engineer to design, develop, and deploy cutting-edge ML models and data-driven solutions. You will work closely with data scientists, software engineers, and product teams to bring AI-powered products to life and scale them effectively. Key Responsibilities: Design, build, and optimize machine learning models for classification, regression, recommendation, and NLP tasks. Collaborate with data scientists to transform prototypes into scalable, production-ready models. Deploy, monitor, and maintain ML pipelines in production environments. Perform data preprocessing, feature engineering, and selection from structured and unstructured data. Implement model performance evaluation metrics and improve accuracy through iterative tuning. Work with cloud platforms (AWS, Azure, GCP) and MLOps tools to manage model lifecycle. Maintain clear documentation and collaborate cross-functionally across teams. Stay updated with the latest ML/AI research and technologies to continuously enhance our solutions. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in ML model development and deployment. Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, etc. Strong understanding of machine learning algorithms, statistical modeling, and data analysis. Experience with building and maintaining ML pipelines using tools like MLflow, Kubeflow, or Airflow. Familiarity with containerization (Docker), version control (Git), and CI/CD for ML models. Experience with cloud services such as AWS SageMaker, GCP Vertex AI, or Azure ML.

You will be responsible for designing, developing, and implementing well-tested, reusable, and maintainable Python code. Utilize various Python libraries and frameworks such as FastAPI, Django, Flask, Pandas, NumPy to implement functionalities. Your tasks will include integrating various data sources like APIs and databases to manipulate and analyze data. It will be essential to optimize code for performance, scalability, and security. You will also write unit and integration tests for code coverage and stability. Collaboration with designers and other developers to translate requirements into efficient solutions is a key aspect of this role. Additionally, you are expected to participate in code reviews, providing constructive feedback to enhance code quality. Staying up-to-date with the latest Python trends, libraries, and best practices is crucial. Debugging and troubleshooting complex issues to ensure optimal application performance will be part of your responsibilities. Proactively suggesting improvements and optimizations to the existing codebase will also be required.,

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext's direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext Timeline, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As a Machine Learning Engineer, you will be in charge of building end-to-end machine learning pipelines that operate at a huge scale, from data investigation, ingestions and model training to deployment, monitoring, and continuous optimization. You will ensure that each pipeline delivers measurable impact through experimentation, high-throughput inference, and seamless integration with business-critical systems. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Build ML pipelines that train on real big data and perform on a massive scale. Handle a massive responsibility, Advertise on lucrative placement (Samsung appstore, Xiaomi phones, TrueCaller). Train models that will make billions of daily predictions and affect hundreds of millions users. Optimize and discover the best solution algorithm to data problems, from implementing exotic losses to efficient grid search. Validate and test everything. Every step should be measured and chosen via AB testing. Use of observability tools. Own your experiments and your pipelines. Be Frugal. Optimize the business solution at minimal cost. Advocate for AI. Be the voice of data science and machine learning, answering business needs. Build future products involving agentic AI and data science. Affect millions of users every instant and handle massive scale Requirements: MSc in CS/EE/STEM with at least 5 years of proven experience (or BSc with equivalent experience) as a Machine Learning Engineer: strong focus on MLOps, data analytics, software engineering, and applied data science- Must Hyper communicator: Ability to work with minimal supervision and maximal transparency. Must understand requirements rigorously, while frequently giving an efficient honest picture of his/hers work progress and results. Flawless verbal English- Must Strong problem-solving skills, drive projects from concept to production, working incrementally and smart. Ability to own features end-to-end, theory, implementation, and measurement. Articulate data-driven communication is also a must. Deep understanding of machine learning, including the internals of all important ML models and ML methodologies. Strong real experience in Python, and at least one other programming language (C#, C++, Java, Go). Ability to write efficient, clear, and resilient production-grade code. Flawless in SQL. Strong background in probability and statistics. Experience with tools and ML models Experience with conducting A/B test. Experience with using cloud providers and services (AWS) and python frameworks: TensorFlow/PyTorch, Numpy, Pandas, SKLearn (Airflow, MLflow, Transformers, ONNX, Kafka are a plus). AI/LLMs assistance: Candidates have to hold all skills independently without using AI assist. With that candidates are expected to use AI effectively, safely and transparently. Preferred: Deep Knowledge in ML aspects including ML Theory, Optimization, Deep learning tinkering, RL, Uncertainty quantification, NLP, classical machine learning, performance measurement. Prompt engineering and Agentic workflows experience Web development skills Publication in leading machine learning conferences and/or medium blogs.,

Location Ahmedabad, India Experience 2-3 Job Type Full Time Job Description Designation: AI/ML Developer Location: Ahmedabad Department: Technical Job Summary: We Are Looking Enthusiastic AI/ML Developer With 2 To 3 Years Of Relevant Experience In Machine Learning And Artificial Intelligence. The Candidate Should Be Well-Versed In Designing And Developing Intelligent Systems And Have A Solid Grasp Of Data Handling And Model Deployment. Key Responsibilities: Develop and implement machine learning models tailored to business needs. Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models, VAEs) using platforms like Hugging Face, LangChain, or OpenAI. Conduct data collection, cleaning, and pre-processing for model readiness. Train, test, and optimize models to improve accuracy and performance. Work closely with cross-functional teams to deploy AI models in production environments. Perform data exploration, visualization, and feature selection Stay up-to-date with the latest trends in AI/ML and experiment with new approaches. Design and implement Multi-Agent Systems (MAS) for distributed intelligence, autonomous collaboration, or decision-making. Integrate and orchestrate agentic workflows using tools like Agno, CrewAI or LangGraph. Ensure scalability and efficiency of deployed solutions. Monitor model performance and perform necessary updates or retraining. Requirements: Strong programming skills in Python and experience with libraries like Tensor Flow, PyTorch, Scikit-learn, and Keras. Experience working with vector databases (Pinecone, Weaviate, Chroma) for RAG systems. Good understanding of machine learning concepts, including classification, regression, clustering, and deep learning. Knowledge of knowledge graphs, semantic search, or symbolic reasoning. Proficiency in working with tools such as Pandas, NumPy, and data visualization libraries. Hands-on experience deploying models using REST APIs with frameworks like Flask or FastAPI. Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for ML deployment. Knowledge of version control systems like Git. Experience with Natural Language Processing (NLP), computer vision, or predictive analytics. Exposure to MLOps tools and workflows (e.g., MLflow, Kubeflow, Airflow). Basic familiarity with big data frameworks like Apache Spark or Hadoop. Understanding of data pipelines and ETL processes. What We Offer: Opportunity to work on live projects and client interactions. A vibrant and learning-driven work culture. 5 days a week & Flexible work timings. About Company Techify is the Fastest Growing Tech Company with a talented, passionate and learning team. Techify's DNA Is About Solutions & Technologies. We are here to help our customers grow their business. Our Vision is to Become One of the Best Product Engineering companies in India We put client relationships first hence our mission is to build software solutions that help clients transform their business by unleashing hidden potential with technology. So our success mantra is Customer first, Team second and We are the third. Our main focus is our Customers’ and Partners’ success. Our visionary and experienced team turns innovative ideas into efficient products & softwares. Our well-defined processes ensure on-time delivery to our partners giving us an edge over our competitors. The most important pillar in achieving our goals is our dedicated Team and to encourage them and keep them motivated, we have set up a culture that rewards Self Development and Innovation. Our cutting-edge services include intensive research and analysis to identify the appropriate technology to achieve best performances by incurring least cost possible. We take a studied approach towards cost, performance, feature trade-offs to help companies surmount the challenges of delivering high-quality, timely products and services to the marketplace. We have the ability to take up any product be it at the stage of defining, designing, verifying or realizing. Here are our recognitions. We are the winner of Grand Challenge in Vibrant Gujarat Summit’2018. We have also achieved prestigious “Trend Setter” award from Gujarat Innovation Society. Times Coffee Table Book Covered us in “Gujarat the Inspiring edge” edition. We are also Amazon web services consulting and networking partners.

Dear Candidate, Hope you are doing well! CMS Computers Limited (INDIA) is currently hiring for the following positions in Mumbai (Bhandup) on a Work From Office basis: 1) Data Analytics / BI Position: - Experience Required: 2-3 years - Location: Mumbai (Bhandup) WFO - Note: Immediate to 15 days notice period will be considered - Seeking candidates with 2-3 years of experience in Investment, real estate, taxation, finance, and accounts. 2) CA Requirement: - Experience Required: 8+ years - Location: Mumbai (Bhandup) WFO - Note: Immediate to 15 days notice period will be considered - The role involves leading the data Analytics / BI domain and requires the following skills: - Python experience, especially in data analytics projects - Strong backend experience with advanced SQL skills - Experience in working on multiple projects in different domains and use cases - Good communication skills The ideal candidate should be a strong, result-oriented programmer with a can-do attitude, capable of driving existing analytics products and managing teams with a focus on technical expertise and management skills. Key Responsibilities Include: - Writing effective, scalable code - Developing back-end components to enhance responsiveness and performance - Integrating user-facing elements into applications - Testing and debugging programs - Improving the functionality of existing systems - Implementing security and data protection solutions - Assessing and prioritizing feature requests - Coordinating with internal teams to understand user requirements and provide technical solutions Required Skills and Abilities: - 6 to 11 years of hands-on experience with Python - Proficiency in at least one popular Python framework (e.g., Django, Flask, or Pyramid) - Knowledge of object-relational mapping (ORM) - Familiarity with front-end technologies such as React JS, JavaScript, and HTML5 - Experience with Python libraries like Pandas, NumPy, and requests - Working knowledge of SCM tools like Git and Bitbucket - Experience with RDBMS and SQL - Experience in unit testing frameworks like pytest and performance testing - Good communication and debugging skills Good to Have Skills: - Any Cloud Experience - Big Data - Pyspark/Spark-Scala Knowledge - Working knowledge of Kubernetes, dockerization - Experience with Terraform If you are interested, please share your updated resume at chaitali.saha@voqeoit.com. Kindly provide the following details for further processing: - Total Experience - Relevant Experience - Current CTC - Expected CTC - Notice Period - Negotiable Notice Period - Last Working Day (if not currently employed) - Job offers in hand Regards, Chaitali Saha Talent Acquisition Group at Voqeoit Technologies Contact No: 8088779710 Website: www.voqeoit.com,

As a Python AWS Developer at Willware Technologies, you will need to have over 5 years of experience working with Python frameworks such as Django, Flask, and FastAPI, along with a strong expertise in AWS services. Your role will involve utilizing Python libraries like Pandas, NumPy, and SQLAlchemy, while designing, developing, and maintaining RESTful APIs. It is essential to have experience in API security, authentication, and authorization protocols such as OAuth and JWT. Additionally, hands-on experience in PL/SQL, including Packages, Functions, and Ref Cursors, is required for this role. You should possess a strong knowledge of Data Warehouse solutions, Datamart, and ODS concepts, along with an understanding of data normalization and Oracle performance optimization techniques. While not mandatory, good-to-have technical skills for this position include experience with Kubernetes for container orchestration, deploying, managing, and scaling applications on Kubernetes clusters, and proficiency in various AWS services like EC2, S3, RDS, and Lambda. Familiarity with Infrastructure-as-Code tools such as Terraform and CloudFormation, as well as knowledge of SnapLogic for cloud-native integration and designing integration pipelines, would be advantageous in this role.,

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,

As a Backend Developer at Maitri AI, you will be responsible for developing, optimizing, and maintaining backend services using FastAPI. Your role will involve implementing API authentication, authorization, and security best practices while working with SQLAlchemy for ORM-based database management. You will design, query, and optimize databases using MySQL, utilizing NumPy and Pandas for data processing and transformation. Collaboration with frontend developers to seamlessly integrate APIs and maintaining CI/CD workflows with GitHub will be crucial aspects of your responsibilities. Additionally, you will be expected to research and integrate Machine Learning and Generative AI solutions such as Gemini AI and OpenAI. Troubleshooting and resolving backend-related issues, staying updated with the latest advancements in backend technologies and AI, are also key parts of your role. To qualify for this position, you should have at least 2 years of experience in backend development, a Bachelor's degree in Computer Science, Information Technology, or a relevant field, proficiency in Python and experience with FastAPI. Hands-on experience with SQLAlchemy and MySQL databases, a strong understanding of API authentication and security principles, and experience working with GitHub for version control and collaboration are essential. Preferred skills include experience with Machine Learning and Generative AI models, knowledge of containerization technologies like Docker, and exposure to cloud services such as AWS, GCP, or Azure. This role offers the opportunity to work on cutting-edge AI and backend projects, competitive salary and benefits, and a collaborative work environment that encourages learning and growth. Join us at Maitri AI and be a part of an innovative team at the forefront of AI and technology. This is a full-time position with a day shift schedule, requiring in-person work at our Borivali West, Mumbai location.,

You are a Senior Python Developer with a minimum of 5 years of experience in Python, specifically with expertise in Django. You have hands-on experience with Azure Web Application Services, Web Services, and API Development. Additionally, you are proficient in working with databases such as Postgres and have knowledge of API documentation tools like swagger or RAML. Your skill set includes Python libraries like Pandas, NumPy, and familiarity with Object Relational Mapper (ORM) libraries. You can integrate multiple data sources and databases into a single system and understand threading limitations and multi-process architecture in Python. Moreover, you have a basic understanding of front-end technologies like JavaScript, HTML5, and CSS3. You are knowledgeable about user authentication and authorization between multiple systems, servers, and environments. You understand the fundamental design principles behind scalable applications and have experience with event-driven programming in Python. You can optimize output for different delivery platforms such as mobile vs. desktop and create database schemas that support business processes. Strong unit testing and debugging skills are part of your expertise, along with proficiency in code versioning tools like Git, Mercurial, or SVN. You are familiar with ADS, Jira, Kubernetes, and CI/CD tools, as well as have knowledge of data mining and algorithms. Your primary skill set includes Python, SciPy, NumPy, Django, Django ORM, MySQL, DRF, and basic knowledge of Azure. As a Full Stack Developer in the IT Services & Consulting industry, you are responsible for software development and engineering. You hold a B.Tech/B.E. degree in Electronics/Telecommunication or Computers. The job location is in Noida, and you are expected to work full-time in a permanent role. The company, Crosslynx US LLC, is established in Product Engineering and Cloud Engineering, delivering innovative solutions to enterprises worldwide. With expertise in Trustworthy and Explainable AI, Embedded Software, Cloud Application Development, RF Design & Testing, and Quality Assurance, the company offers a healthy work environment with work-life balance. Employees have opportunities to collaborate with clients, work on innovative projects, and learn about cutting-edge technologies. If you possess the technical aptitude and skills required for this role, you are encouraged to apply and join the team at Crosslynx to boost your career.,

You will be joining a forward-thinking team at Tecblic, a company specializing in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we welcome you to be a part of our innovative team. As a Machine Learning Engineer at Tecblic, your key responsibilities will include conducting research and development to design and fine-tune machine learning models, with a specific focus on LLMs and Agentic AI systems. You will be responsible for optimizing pre-trained LLMs for domain-specific use cases, collaborating with software engineers and product teams to integrate AI models into customer-facing applications, and performing data preprocessing, pipeline creation, feature engineering, and exploratory data analysis for dataset preparation. Additionally, you will design and implement model deployment pipelines, prototype innovative solutions using cutting-edge techniques, and provide technical mentorship to junior team members. In terms of core technical skills, we require proficiency in Python for machine learning and data science tasks, expertise in ML frameworks and libraries like PyTorch, TensorFlow, and Hugging Face, a solid understanding of LLMs such as GPT, T5, BERT, or Bloom, experience in NLP tasks, knowledge of deep learning architectures, strong data manipulation skills, and familiarity with cloud services and ML model deployment tools. Exposure to Agentic AI, MLOps tools, generative AI models, prompt engineering, few-shot/fine-tuned approaches for LLMs, vector databases, version control, and collaborative development practices would be considered advantageous. Furthermore, we are looking for individuals with a strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability, as well as a solid understanding of algorithms and data structures to solve complex ML problems. Soft skills such as excellent problem-solving, critical-thinking, communication, collaboration, self-motivation, and continuous learning mindset are also highly valued. If you are ready to contribute your expertise and passion for machine learning and AI to a dynamic and innovative team, Tecblic is the place for you. Join us in pushing the boundaries of technology and creating impactful AI-driven solutions for businesses in the digital era.,

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

NTT DATA is looking for a Senior Python Engineer to join the team in Bangalore, Karntaka (IN-KA), India. As a Senior Python Engineer, you will be part of the C3 Data Warehouse team, focusing on building the next-gen data platform that sources and stores data from various technology systems across the firm into a centralized data platform. This platform empowers reporting and analytics solutions for the Technology Risk functions within Morgan Stanley. Your primary responsibilities will include contributing to the development of a unified data pipeline framework in Python, utilizing technologies such as Airflow, DBT, Spark, and Snowflake. Additionally, you will integrate this framework with existing internal platforms for data quality, cataloging, discovery, incident logging, and metric generation. Collaboration with data warehousing leads, data analysts, ETL developers, infrastructure engineers, and data analytics teams will be essential to successfully implement the data platform and pipeline framework. Your key duties will include developing various components in Python for the unified data pipeline framework, establishing best practices for optimal Snowflake usage, assisting with testing and deployment using standard frameworks and CI/CD tooling, monitoring query performance and data loads, and providing guidance during QA & UAT phases to identify issues and determine the best resolutions. The ideal candidate should have at least 5 years of experience in data development and solutions in complex data environments, with expertise in developing data pipelines and warehousing solutions using Python and libraries like Pandas, NumPy, PySpark. Experience in hybrid data environments (on-Prem and Cloud) and exposure to Power BI/Snowflake are also required. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. Committed to helping clients innovate, optimize, and transform for long-term success, NTT DATA has diverse experts in over 50 countries and a robust partner ecosystem. Services provided include business and technology consulting, data and artificial intelligence, industry solutions, as well as development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally and is part of the NTT Group, investing significantly in R&D to support organizations and society in transitioning confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

Location: Noida / Gurgaon (Onsite – 5 Days a Week) Experience: 4 to 7 Years Employment Type: Full-Time Background Verification (BGV) : Mandatory post-selection About the Role We are looking for highly skilled Python Developers who are passionate about building scalable and reliable backend solutions. You will work in a dynamic, collaborative environment and contribute to robust system architecture, core development, and feature optimization using modern Python frameworks, libraries, and tools . Key Responsibilities Design, develop, test, and maintain backend components using Python and modern frameworks. Apply strong knowledge of OOPs concepts , data structures , and algorithms to write clean, efficient, and scalable code. Work with Python libraries such as NumPy, Pandas, SciPy, and Scikit-learn to build data-driven solutions. Collaborate with DevOps teams for seamless deployment using Docker and CI/CD pipelines . Work with MySQL databases to design schema, write queries, and ensure data integrity. Version control and code management using Git . Collaborate with cross-functional teams, participate in code reviews, and contribute to agile development. Job Type: Full-time Pay: ₹70,000.00 - ₹80,000.00 per month Location Type: In-person Schedule: Day shift Experience: Python: 5 years (Required) SQL: 3 years (Required) Git: 1 year (Required) Location: Noida, Uttar Pradesh (Required) Work Location: In person Speak with the employer +91 8851582342

We are seeking a passionate Data Science fresher who has completed at least 6 months of practical training, internship, or project experience in the data science field. In this role, you will have the exciting opportunity to utilize your analytical and problem-solving skills on real-world datasets while collaborating closely with experienced data scientists and engineers. Your responsibilities will include assisting in data collection, cleaning, and preprocessing from various sources, supporting the team in building, evaluating, and optimizing machine learning models, performing exploratory data analysis (EDA) to extract insights and patterns, working on data visualization dashboards and reports using tools like Power BI, Tableau, or Matplotlib/Seaborn, collaborating with senior data scientists and domain experts on ongoing projects, documenting findings, code, and models in a structured manner, and continuously learning and adopting new techniques, tools, and frameworks. To be successful in this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, along with a minimum of 6 months of internship/training experience in data science, analytics, or machine learning. Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.), understanding of machine learning algorithms (supervised/unsupervised), knowledge of SQL and database concepts, familiarity with data visualization tools/libraries, and a basic understanding of statistics and probability are required technical skills. Additionally, you should possess strong analytical thinking and problem-solving abilities, good communication and teamwork skills, and an eagerness to learn and grow in a dynamic environment. Exposure to cloud platforms (AWS, GCP, Azure), experience with big data tools (Spark, Hadoop), and knowledge of deep learning frameworks (TensorFlow, PyTorch) are considered advantageous but not mandatory. In return, we offer you the opportunity to work on real-world data science projects, mentorship from experienced professionals in the field, a collaborative, innovative, and supportive work environment, and a growth path to advance into a full-time Data Scientist role with us. This is a full-time, permanent position suitable for fresher candidates. The benefits include health insurance, and the work schedule consists of day shifts from Monday to Friday. Fluency in English is preferred, and the work location is in person.,

Purpose Of The Position We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven Responsibilities : Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible Skills And Qualifications : 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and Qualifications : Experience with Reinforcement Learning and Recommender Systems personalization techniques. Experience of working with AWS Bedrock services. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical Join Opportunity to be part of a rapidly growing, innovative product-based company. Collaborate with a talented, driven team focused on building high-quality software solutions. Competitive compensation and benefits package. (ref:hirist.tech)

As part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering as a key player. Our focus lies in assisting our clients in the design and development of cutting-edge products that are AI, Cloud, and Mobile ready, along with creating content and commerce-driven platforms. Through a design-led Digital Transformation framework, we facilitate the creation of connected, converged digital experiences tailored for the modern world. By leveraging our expertise in strategic design, engineering, and industry knowledge, you will play a crucial role in helping our clients navigate the digital landscape, thereby accelerating their growth trajectory. Headquartered in Silicon Valley, ACL Digital is a frontrunner in design-led digital experiences, innovation, enterprise modernization, and product engineering services, particularly within the Technology, Media & Telecom sectors. We are proud of our diverse and skilled workforce, which is part of the larger ALTEN Group comprising over 50,000 employees spread across 30+ countries, fostering a multicultural workplace and a collaborative knowledge-sharing environment. In India, our operations span across Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida, and Ahmedabad, while in the USA, we have established offices in California, Atlanta, Philadelphia, and Washington states. As a suitable candidate for this role, you are expected to possess the following technical skills and competencies: - A minimum of 4-5 years of relevant experience in the field - Preferably trained or certified in Data Science/Machine Learning - Capable of effectively collaborating with technical leads - Strong communication skills coupled with the ability to derive meaningful conclusions - Proficiency in Data Science concepts, Machine Learning algorithms & Libraries like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Flask framework - Proficiency in Docker and Virtual Environment - Proficient in Database Operations - Strong analytical and problem-solving skills - Ability to excel in a dynamic environment with varying degrees of ambiguity Your role would involve the following responsibilities and competencies: - Applying data mining, quantitative analysis, statistical techniques, and conducting experiments to derive reliable insights from data - Understanding business use-cases and utilizing various sources to collect and annotate datasets for business problems - Possessing a strong academic background with excellent analytical skills and exposure to machine learning and information retrieval domain and technologies - Strong programming skills with the ability to work in languages such as Python, C/C++ - Acquiring data from primary or secondary sources and performing data tagging - Filtering and cleaning data based on business requirements and maintaining a well-defined, structured, and clean database - Working on data labeling tools and annotating data for machine learning models - Interpreting data, analyzing results using statistical techniques and models, and conducting exploratory analysis If you are someone who thrives in a challenging and dynamic environment and possesses the required technical skills and competencies, we look forward to having you join our team at ACL Digital.,

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.