1862 Keras Jobs - Page 20

The Machine Learning Engineer position at our fast-growing AI/ML startup is ideal for a highly skilled and self-motivated individual with at least 4 years of experience. As a Machine Learning Engineer, you will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. The role requires a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Your key responsibilities will include collaborating with cross-functional teams to design and develop machine learning and deep learning algorithms, translating complex client problems into mathematical models, building data pipelines and automated classification systems, conducting data mining, and applying supervised/unsupervised learning to extract meaningful insights. You will also be responsible for performing Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition, developing and implementing Natural Language Processing (NLP) techniques, extending and customizing ML libraries/frameworks, visualizing analytical findings, developing and integrating APIs, providing technical documentation and support, and staying updated with the latest trends in AI/ML. To qualify for this role, you should have a B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or a related field, a solid understanding of data structures, algorithms, probability, and statistical methods, proficiency in Python, R, or Java, hands-on experience with ML/DL frameworks and libraries, experience with cloud services, a strong grasp of NLP, predictive analytics, and deep learning algorithms, familiarity with big data technologies, expertise in building and deploying scalable AI/ML models, exceptional analytical, problem-solving, and communication skills, and a strong portfolio of applied ML use cases. Joining our team will provide you with the opportunity to work at the forefront of AI innovation, be part of a high-impact team driving AI solutions across industries, enjoy a flexible remote working culture with autonomy and ownership, receive competitive compensation, growth opportunities, and access to cutting-edge technology, and embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch. Apply now to be a part of our innovative and collaborative team!,

You are a highly motivated and experienced AI/ML Developer with a minimum of 2 years of experience. Your primary responsibility will be to design and develop scalable AI/ML models and algorithms. You will collaborate with cross-functional teams to integrate ML solutions into products and analyze large datasets to extract meaningful insights. Continuous monitoring and optimization of existing models for performance improvement will also be part of your role. Staying updated with the latest research and advancements in AI/ML is essential to excel in this challenging and rewarding night shift environment. Your skills should include proven experience in Machine Learning, Deep Learning, and AI projects, proficiency in Python and ML libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn. A strong understanding of data structures, algorithms, and statistics is required. Experience with model deployment and MLOps practices will be an added advantage. Excellent problem-solving and analytical skills are crucial for success in this role. As an AI/ML Developer, you will enjoy perks such as free cab facility for pick and drop, the opportunity to work on innovative high-impact projects, and a collaborative team environment. Stay updated with the latest advancements in technologies and contribute effectively to impactful projects in this exciting opportunity.,

Who we are: Welcome to Archipelago, where we're redefining the landscape of commercial property insurance with our AI-powered data network. We believe in the power of accurate information to drive meaningful business decisions and offer solutions to generate accurate information as easily and efficiently as possible. By connecting brokers, owners, and insurers, we empower our customers to navigate the complexities of the property insurance and risk management processes with confidence. Archipelago was founded in 2018 and serves many of the world’s largest property brokers and their clients, representing over 500 of the worlds largest and most dynamic commercial property portfolios to improve their data and better represent their risks. Archipelago has achieved Series B funding from industry-leading investment partners including Scale, Canaan Partners, Ignition Partners, Prologis Ventures, Stone Point Capital, and Zigg Capital. Join us at Archipelago and be part of a team dedicated to transforming the commercial property insurance industry. We're seeking individuals with a passion for innovation, a commitment to excellence, and a drive to further elevate and empower our customers. If you're ready to make a meaningful impact and be part of a dynamic, forward-thinking company, we invite you to explore our job opportunities and join us on our journey to keep data accurate and workflows seamless. Note: Preferred candidates to be located in Noida, India. You will be required to schedule a portion of your working hours to coincide with our New York-based team, specifically from 9:00 AM to 12:00 PM Eastern Standard Time. Who you are: Archipelago is seeking a Senior Machine Learning Engineer to join our growing labs team to work on Gen AI systems. We are looking for an engineer who is comfortable with working with full stack development. From building models that run in an extraction pipeline to UIs that test and evaluate the results of experiments. We iterate quickly, ship every day, build for the long term, and are looking for smart, independent engineers who want to apply their trade with like-minded people. Responsibilities : Designing and developing machine learning and deep learning systems Building RAG pipelines with LLMs Building Agentic AI applications Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback Implementing appropriate ML algorithms Orchestration of long running jobs for data extraction Building UIs to test & evaluate results of ML experiments Translate research papers into high-quality, production-ready code Ship code to production frequently Coach and mentor more junior engineers What Success Looks like in 12 months: Built multiple use-cases that are powered by Agentic AI Built models that implement pattern recognition and data extraction Design and implemented a framework for back testing the results of ML experiments You are part of Archipelago’s India based AI team Qualifications: 4+ years experience as a Machine Learning Engineer or similar role Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex) Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost) Knowledge of how to deploy and maintain ML services in a production environment Experience in designing and deploying feature engineering pipelines in production Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Bonus Points: Experience building data ingestion pipelines Experience with vector databases (e.g. qdrant, Pinecone) Familiarity with orchestration frameworks like Luigi or Flyte Familiarity with gradio, streamlit or Dash GOlang and JavaScript is a plus Experience building applications for the insurance industry Benefits: We offer excellent benefits regardless of where you are in your career. Providing our employees the means to lead healthy, balanced lives results in the best possible work performance. *All benefits are subject to change at management’s discretion.

Bosch Software Engineering, Data Science Pune, Maharashtra, India Posted on Jul 14, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. Strong grasp of memory architectures, tool use, and action planning within AI agents. Autonomy Score: Measures the degree of independence in decision-making. Collaboration Efficiency: Evaluates the ability of agents to work together and share information. Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. Response Time: Measures the latency in agent decision-making and execution. Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. Expertise in Python, R, TensorFlow, Keras, and PyTorch. Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. Proficiency in advanced statistical methods and transformer-based text processing. Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails· Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS· Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI· Large Language Models (LLMs): GPT, Qualifications BE,B Tech, MTech Additional Information 7-11 years Apply now See more open positions at Bosch

Bosch Software Engineering, Data Science Pune, Maharashtra, India Posted on Jul 14, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and experience with with GenAI technologieso Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..)o Understanding of SLMs such as Phi3, BERT and Transformer architectureo Vector databases like Pincone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model· Expertise with the following scripting languages:o Python, R, Tensorflow, Keras, Pytorcho OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs· Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools· Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools· Prior experience working on Mobility or Healthcare domain will be a plus Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails· Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS· Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Additional Information:A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1 institutions. If Bachelors, Machine Learning or Computer Science specialization only Qualifications BE,BTech, MCA,MTech Additional Information 5- 8 years Apply now See more open positions at Bosch

Job Title - Data Engineer Sr.Analyst ACS Song Management Level: Level 10- Sr. Analyst Location: Kochi, Coimbatore, Trivandrum Must have skills: Python/Scala, Pyspark/Pytorch Good to have skills: Redshift Job Summary You’ll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Responsibilities Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured→ unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline. Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions Preparing data to create a unified database and build tracking solutions ensuring data quality Create Production grade analytical assets deployed using the guiding principles of CI/CD. Professional And Technical Skills Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies. Experience in one of the many BI tools such as Tableau, Power BI, Looker. Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs. Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse. Additional Information Experience working in cloud Data warehouses like Redshift or Synapse Certification in any one of the following or equivalent AWS- AWS certified data Analytics- Speciality Azure- Microsoft certified Azure Data Scientist Associate Snowflake- Snowpro core- Data Engineer Databricks Data Engineering About Our Company | Accenture (do not remove the hyperlink) , Experience: 3.5 -5 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture)

Position Lead Data Scientist JD Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks:TensorFlow, PyTorch, Keras Generative AI Models:GANs, VAEs, Transformers Agentic AI Tools:OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries:NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries:OpenCV, TensorFlow, PyTorch Total Experience 7-11 Yrs Relevant Experience 6+years Any Preferred Skills Must have Skills GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Role (Development/Support) Development Shift (General/Rotational) Timings General Max Budget 30 LPA Location Mumbai, Pune, Chennai, Noida, Bangalore Office Mode Hybrid

Experience : 5.00 + years Salary : INR 1500000-2500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Hybrid (Ahmedabad) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Inferenz) What do you need for this opportunity? Must have skills required: Generative AI, NLP, Python, Java, R, Deep Learning, TensorFlow, Keras, PyTorch Inferenz is Looking for: Position: Lead AI/ML Engineer Location: Ahmedabad, Pune Required Experience: 5 to 12 Years Preferred Immediate Joiner We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelor’s or master’s degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Primary Responsibilities: Provides technical direction for the development, design, and systems integration across multiple client engagements from definition phase through implementation Using azure infra for deployment/maintenance of applications Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges Conduct exploratory data analysis (EDA), statistical analysis, and feature engineering to interpret complex healthcare data to provide actionable insights Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects Analyze, design, Code, Review, Integrate, Implement, Install, Deploy and Maintenance of the computer programs and software components using specific tools and latest technologies including Java/J2EE, Web services (REST and SOAP), Microservices Framework, Apache Kafka, Spring Boot, Kubernetes, and Docker, JSON, Node JS, Casandra, GraphQL etc. Design, develop, and maintain robust and scalable RESTful APIs for data exchange between healthcare systems Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA Develop and maintain documentation for models, processes, and systems 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: Bachelors degree in Computer Science, Engineering, or a related field Experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization, ML framework and libraries TensorFlow, PyTorch, scikit-learn, and Keras Experience as a Full Stack Engineer with Solid proficiency in Java, SpringBoot, Python or other backend programming languages Experience with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes) Solid understanding of database concepts, distributed systems, and data warehousing principles Preferred Qualifications: Masters degree Azure certifications Familiarity with the US Healthcare domain At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves 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. #Nic

Responsibilities : Manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training. Utilize Python libraries like PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaborate with cross-functional teams to experiment with AI/ML models and iterate quickly on prototypes. Optimize workflows to ensure fast experimentation and deployment of models to production environments. Implement containerization and basic Docker workflows to streamline deployment processes. Write clean, efficient, and production-ready Python code for scalable AI solutions. Good to Have: Exposure to cloud platforms like AWS, Azure, or GCP. Knowledge of MLOps principles and tools. Basic understanding of enterprise Knowledge Management Systems. Ability to work against tight deadlines. Ability to work on unstructured projects independently. Strong initiative and self-motivated Strong Communication & Collaboration acumen. Required Skills: Proficiency in Python with strong skills in libraries like PyTorch, Pandas, and NumPy. Experience in handling both structured and unstructured datasets. Familiarity with fine-tuning LLMs and understanding of modern NLP techniques. Basics of Docker and containerization principles. Demonstrated ability to experiment, iterate, and deploy code rapidly in a production setting. Strong problem-solving mindset with attention to detail. Ability to learn and adapt quickly in a fast-paced, dynamic environment. What we Offer: Opportunity to work on cutting-edge AI technologies and impactful projects. A collaborative and growth-oriented work environment. Competitive compensation and benefits package. A chance to be a part of a team shaping the future of enterprise intelligence.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target In India At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Target Data Sciences is offering an exciting opportunity to solve state of the art problems in Promotions . Promotions are a critical lever in driving price perception and delivering exciting deals to our guests. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals withpricing and promotions experienceand engineering skills who can solutions at scale. If you are that person, you can expect to be involved in: Defining, developing and integrating modules foralgorithmic decision makingwith thepricing systems. Influencing roadmaps and driving its execution with a team of talented scientists. Developing and integrating Datascience models with Pricing platformand collaborating with engineers and science team to bring it to life. Position Overview As Senior Engineer, you will join a Target Tech team responsible for Promotion forecasting and optimization. You will play crucial role in designing, implementing, and optimizing the machine learning solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Expertise in MLOps frameworks and hands on experience in MLOps tools preferably Google Vertex ai 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Scala and/ or Python/Pyspark Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Experience in handling streaming data and real-time forecasting solutions deployment Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Motivated, team player with ability to collaborate effectively across global team Understanding of retail industry and pricing concepts is added advantage Bonus Points: Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Extensive experience developing highly distributed ML systems at scale Familiarity with Vertex AI and Cloud ML ecosystem will be desirable Experience in mentoring the junior team members ML skillset and career development Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Position Overview: As Lead Data Scientist you will join a Data Sciences team responsible for creating highly personalised offers for our Guests. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production. Also, we expect you to guide the ML talent in the team on both algorithms and engineering . At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. About You: Preferred MS or PhD in a quantitative field Experience with developing highly distributed ML systems 8+ years of relevant experience in data science, analytics, or applied machine learning, with a strong track record of solving complex business problems through data-driven approaches. Demonstrated ability to translate business problems into analytical solutions , leveraging statistical, machine learning, or optimization techniques to drive business impact. Proven experience in designing, building, and deploying machine learning models and pipelines in production environments at scale. Collaborate cross-functionally with data engineers, product managers, and software engineers to define problem statements, design experiments, and build data solutions that deliver measurable value. Strong programming skills in Python or Java , with hands-on experience using big data technologies such as Hadoop or Spark. Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras is a plus. Ability to communicate complex technical concepts and results clearly to both technical and non-technical stakeholders, using visualizations, dashboards, and storytelling techniques. Proactive and results-oriented , capable of driving projects independently and delivering under tight deadlines. A collaborative team player with experience working across global teams and contributing to a shared vision. Demonstrated experience in mentoring junior data scientists or analysts , fostering a culture of learning and innovation. Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Required Qualifications: Bachelor’s degree in computer science, Machine Learning, Data Science, or a related field Total years of experience 5+ years. Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 3+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 5+ years of experience developing in a cloud environment (AWS, GCS, Azure) 3+ years of experience with Github, Actions, CI/CD, and source control 4+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions

Job Description NP- immediate Location-Technopark, Trivandrum Experience- 5+ years (Mandatory) We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities: ● AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. ● Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. ● Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. ● Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. ● Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. ● Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills and Qualifications: ● Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. ● Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. ● Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. ● Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. ● Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). ● Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. ● Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). ● Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. ● Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. ● Understanding of software development best practices, including version control (Git), testing, and code review. ● Excellent problem-solving skills, analytical thinking, and a data-driven approach. ● Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. ● Ability to work independently and as part of a collaborative team in a fast-paced environment. ● Immediate Joiner preferred

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You’ll Be Doing: Senior ML Engineer We are seeking a highly experienced and innovative Senior Machine Learning Engineer to take end-to-end ownership of machine learning applications that directly impact our products and services. You will lead the design, development, release, and advancement of robust ML models, working closely with product owners, clinical stakeholders, and cross-functional engineering teams. Your role will be pivotal in translating complex business and clinical requirements into scalable, production-ready ML solutions. You’ll be responsible not only for building models but also for managing their lifecycle—from experimentation and validation to deployment, monitoring, and continuous improvement. This is a high-impact role for someone who thrives on accountability, collaboration, and delivering real-world value through machine learning. What You Will Be Doing: Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior authorization platforms Construct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high quality input for model training Collaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments, spread across various locations in the US and India Work closely with clinicians and stakeholders to drive the development, efficacy, and improvement of our ML models Work with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalability Leverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML models Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvement Perform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platforms Implement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimization Translate complex technical details into clear, actionable insights for stakeholders by telling stories through data Stay current with the latest advancements in ML and AI; testing and integrating new techniques into existing applications Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Required Qualifications: Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or a related field Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 2+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions Preferred Qualifications: Master’s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Proficiency using Azure cloud-based services and infrastructure, Azure ML Studio, and Azure MLOps Experience working with Product, Engineering, Infrastructure, and Architecture teams Experience with deep learning, reinforcement learning, NLP, and LLMs Experience with feature flagging Publications or contributions to the machine learning community To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You’ll Be Doing: MLOps Engineer We are seeking a highly capable MLOps Engineer to join our growing AI/ML Team. You will bridge the gap between data science and operations, ensuring that machine learning models are efficiently tested, deployed, monitored, and maintained in production environments. You will work closely with data scientists, software engineers, infrastructure, and development teams to build scalable and reliable ML infrastructure. You will be instrumental in supporting clinical decision-making, operational efficiency, quality outcomes, and patient care. What You Will Be Doing: Model Deployment and Infrastructure Design, build, and maintain scalable, secure ML pipelines for model training, validation, deployment, and monitoring Automate deployment workflows using CI/CD pipelines and infrastructure-as-code tools Partner with Infrastructure Teams to manage (Azure) cloud-based ML infrastructure, ensuring compliance with InfoSec and AI policies Ensure applications run at peak efficiency Model Testing, Monitoring, and Validation Develop rigorous testing frameworks for ML models, including clinical validation, traditional model performance measures, population segmentation, and edge-case analysis Build monitoring systems to detect model drift, overfitting, data anomalies, and performance degradation in real-time Continuously analyze model performance metrics and operational logs to identify improvement opportunities Translate monitoring insights into actionable recommendations for data scientists to improve model precision, recall, fairness, and efficiency Model Transparency & Governance Maintain detailed audit trails, logs, and metadata for all model versions, training datasets, and configurations to ensure full traceability and support internal audits Ensure models meet transparency and explainability standards using tools like SHAP, LIME, or integrated explainability APIs. Collaborate with data scientists and clinical teams to ensure models are interpretable, actionable, and aligned with practical applications Support corporate Compliance and AI Governance policies Advocate for best practices in ML engineering, including reproducibility, version control, and ethical AI Develop product guides, model documentation, and model cards for internal and external stakeholders Required Qualifications : Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or a related field 2+ years of experience in MLOps, DevOps, or ML engineering Proficiency in Python and ML frameworks such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD tools Familiarity with healthcare datasets and privacy regulations Strong analytical skills to interpret model performance data and identify optimization opportunities Proven ability to optimize application performance, including improving code efficiency, right-sizing infrastructure usage, and reducing system latency Experience implementing rollback strategies, including version control, rollback triggers, and safe deployment practices across lower and upper environments 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Preferred Qualifications: Experience with MLOps platforms like MLflow, TFX, or Kubeflow Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Experience working with Product, Engineering, Infrastructure, and Architecture teams Proficiency using Azure cloud-based services and infrastructure such as Azure MLOps Experience with feature flagging tools and strategies To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

Experience range should be 2-4 Years Objectives of this role Design and develop machine learning algorithms and deep learning applications and systems Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications Identify differences in data distribution that could potentially affect model performance in real-world applications Ensure algorithms generate accurate user recommendations Stay up to date with developments in the machine learning industry Responsibilities Study and transform data science prototypes and apply appropriate machine learning algorithms and tools Run machine learning tests and experiments, and document findings and results Train, retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Impeccable analytical and problem-solving skills Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras or PyTorch Familiarity with data structures, data modeling, and software architecture Excellent time management and organizational skills Desire to learn Preferred qualifications Proven experience as a machine learning engineer or similar role Familiarity with Python, Java, and R Excellent communication and collaboration skills Innovative mind with a passion for continuous learning General knowledge of building machine learning systems Bachelor’s degree (or equivalent) in computer science, mathematics, or related field Job Type: Full-time Pay: ₹468,726.69 - ₹2,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

MLOps Requirements : 6-8 Years Noida/Bengaluru/Pune WFO (Hybrid) Good in communication skills - Bachelors or masters degree in computer science, Engineering, or a related field. - Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) - Strong understanding of machine learning lifecycle, data pipelines, and model serving. - F17Experience with Generative AI frameworks. - Proficiency in programming languages such as Python, Shell scripting, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.). - Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) - Experience with CI/CD tools like Jenkins, GitLab CI, or similar - Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) - Strong software engineering skills in complex, multi-language systems - Excellent problem-solving skills and ability to troubleshoot complex production issues. - Strong communication skills and ability to collaborate with cross-functional teams. Job Type: Full-time Pay: ₹2,000,000.00 - ₹2,500,000.00 per year Work Location: In person

Job Summary: We are looking for a skilled and motivated Python + AI Developer with hands-on experience in developing intelligent systems and AI-driven applications. The ideal candidate will have a strong background in Python programming and experience working with machine learning or artificial intelligence models. Key Responsibilities: Develop and deploy AI and machine learning models using Python Work on end-to-end implementation of AI features in web/mobile applications Integrate AI solutions into existing systems Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions Optimize models for performance and scalability Write clean, efficient, and well-documented code Stay up to date with the latest AI and ML trends Required Skills: Strong proficiency in Python Experience with AI/ML frameworks like TensorFlow, Keras, PyTorch, Scikit-learn Good understanding of data preprocessing, model training, and evaluation Familiarity with NLP, computer vision, or predictive modeling Experience working with REST APIs and cloud platforms (AWS, Azure, etc.) Good understanding of algorithms, data structures, and OOP concepts Excellent problem-solving skills and communication abilities Perks & Benefits: 5-day work week Friendly and collaborative work culture Learning and growth opportunities Exposure to live AI projects and real-world challenges 📩 To apply, send your resume to: shubham@vidhema.co

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

About Aezion Aezion is one of the premiere custom software providers in United States. and we live by the adage that our word is our bond. Our Promise is to get it right or make it right. We accomplish this by investing the effort to exceed client expectations from start to finish - architecting, designing, developing, hosting, deploying, maintaining, and supporting our clients throughout the project lifecycle. We believe that work is ministry – an expression of our values. Our goal is to honor our commitments to clients and the life energies of Aezion employees through results that transform clients into lifelong partners. Position Description Job Title: AI/ML Architct Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras GenAI Developer Job Description We are seeking a talented Generative AI Developer to join our innovative team. The ideal candidate will have a strong background in AI and machine learning, with a focus on generative models and large language models (LLMs). You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI. Advanced Programming Knowledge: Mastery in programming languages like Python and expertise in AI-specific libraries such as TensorFlow, PyTorch, and Keras. Proficiency in implementing and manipulating complex algorithms essential for generative AI development. Generative Models Expertise: In-depth experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Ability to design, train, and optimize these models for generating high-quality and creative content. Natural Language Processing (NLP): Strong background in text generation techniques, including text parsing, sentiment analysis, and the use of transformers like GPT models for advanced text-based applications. Vector Databases: Hands-on experience with vector databases such as Pinecone, PgVector, and Qdrant for efficient retrieval and similarity search. Embedding, Retrieval-Augmented Generation (RAG), and Indexing: Expertise in creating embeddings, implementing RAG workflows, and indexing vector databases to improve search, retrieval, and contextual generation. LangChain and LangGraph: Expertise in building advanced workflows and applications using LangChain for LLM-based solutions and LangGraph for structured workflows with conditional logic. FastAPI and Microservices: Proficiency in building scalable, RESTful FastAPI applications and microservices architectures for deploying AI solutions. LangSmith and LangFuse: Experience using LangSmith for debugging and evaluation of LLM chains, and LangFuse for logging and analytics in LLM applications. Cloud Computing and Deployment: Expertise in deploying and managing AI applications on cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Familiarity with Docker for containerization and Kubernetes for scaling and orchestration.

Experience:- 6-10 years Relevant experience:- 3-5 years (GEN-AI projects) Primary Role · Primarily responsible for working as Tech Lead i.e. leading the team and mentoring it technically. · Provide hands-on technical leadership in the design, development, and deployment of generative AI models and systems. · Serve as the technical point of contact for cross-functional teams, ensuring seamless collaboration between product, engineering, and data science teams. Responsibilities & KPIs · Guiding the team technically and helping them solve the technical problems, throughout the project. Responsible for defining project goals, timelines, and deliverables in collaboration with stakeholders. Ensure scalability, robustness, and cost-efficiency of AI solutions. · Conduct code reviews, provide constructive feedback, and ensure adherence to best practices in AI development. · Build and maintain workflows to manage multiple POCs and project workloads efficiently. · Collaborate with data scientists and domain experts to ensure model accuracy and relevance. · Architect end-to-end Generative AI pipelines for model training, evaluation, and deployment using state-of-the-art tools and techniques · Optimize AI models for speed, accuracy, and cost-efficiency. · Ensure compliance with security and ethical standards. · Address challenges like data drift and model degradation · Proactively introduce innovative generative AI methodologies to address complex business challenges. · Foster a culture of experimentation and continuous learning within the team. · Ensure alignment between business goals and technical implementations. Desired Skills · B.E./B.Tech degree in Computer Science, Information Science, or a related field from a leading institute preferred. · Good leadership and people management skills. · Excellent communication skills for translating technical concepts to non-technical stakeholders. · Hands-on experience with Python · Hands-on experience in machine learning, natural language processing, deep learning, and Generative AI technologies like LLM, RAG, Multi Modal architecture. · Familiarity with frameworks like TensorFlow, PyTorch, Keras or Hugging Face. · Familiarity with MLOps and CI/CD pipelines for AI workflows. · Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI solutions. · Familiarity with current AI trends and open source technologies. · Strong problem-solving and analytical skills. · Ability to work on multiple projects simultaneously and manage priorities effectively. · Exposure to financial services domains is a plus. · Basic understanding of UI Frameworks (e.g. Angular) is a plus.

Job Role: Machine Learning Engineer As a Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. Primary responsibilities: 1. Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models. 2. Architecting large scale data analytics / modeling systems. 3. Designing and programming machine learning methods and integrating them into our ML framework / pipeline. 4. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure 5. Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science. 6. Creation of microservices and APIs for serving ML models and ML services 7. Evaluating new machine learning methods and adopting them for our purposes. 8. Feature engineering to add new features that improve model performance. Required skills: 1. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with around 5 years of professional work experience working on real-world applications. 2. Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns). 3. Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch, 4. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts 5. Architecting and implementing end-to-end solutions for accelerating experimentation and model building 6. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) 7. Ability to perform both independent and collaborative research. 8. Excellent written and spoken communication skills. Preferred qualification and experience: B.E.\B. Tech\B.S. candidates' entries with 3+ years of experience in the aforementioned fields will be considered. M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.

Job title: Mainframe Developer Duration: Fulltime Location: Kharadi, Pune/ India Job Description: Minimum 9+ years experience of developing software utilizing Mainframe - Should have strong and proven technical skills in Mainframe – Cobol, DB2, JCL, CICS & MQ’s. Should have strong technical skill & experience working in Assembler language Should have strong object oriented analysis & design skills. Should have exposure to tools like GITLAB, Sonar etc. Should have good exposure & experience in the CI & CD topics. Preferred to have good domain knowledge of Investment Banking - Trade Settlement Systems & Payment Should have good communication & presentation skills Should have hands-on experience with Agile methodologies & metrics like Velocity, Burndown chart, Story points etc. Should have strong organizational and quality assurance skills Strong experience working within large global teams Good to have additional knowledge in Java – Core Java Concepts, Spring/Hibernate OR Proficient in building ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks. Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras,Scikit Learn.

Job Overview We are seeking a Data Scientist with a strong foundation in machine learning and a passion for the travel industry. You will work with cross-functional teams to analyze customer behavior, forecast travel demand, optimize pricing models, and deploy AI-driven solutions to improve user experience and drive business growth. Key Responsibilities Engage in all stages of the project lifecycle, including data collection, labeling, and preprocessing, to ensure high-quality datasets for model training. Utilize advanced machine learning frameworks and pipelines for efficient model development, training execution, and deployment. Implement MLFlow for tracking experiments, managing datasets, and facilitating model versioning to streamline collaboration. Oversee model deployment on cloud platforms, ensuring scalable and robust performance in real-world travel applications. Analyze large volumes of structured and unstructured travel data to identify trends, patterns, and actionable insights. Develop, test, and deploy predictive models and machine learning algorithms for fare prediction, demand forecasting, and customer segmentation. Create dashboards and reports to communicate insights effectively to stakeholders across the business. Collaborate with Engineering, Product, Marketing, and Finance teams to support strategic data initiatives. Build and maintain data pipelines for data ingestion, transformation, and modeling. Conduct statistical analysis, A/B testing, and hypothesis testing to guide product decisions. Automate processes and contribute to scalable, production-ready data science tools. Technical Skills Machine Learning Frameworks: PyTorch, TensorFlow, JAX, Keras, Keras-Core, Scikit-learn, Distributed Model Training Programming & Development: Python, Pyspark, Julia, MATLAB, Git, GitLab, Docker, MLOps, CI/CD Pipelines Cloud & Deployment: AWS SageMaker, MLFlow, Production Scaling Data Science & Analytics: Statistical Analysis, Predictive Modeling, Feature Engineering, Data Preprocessing, Pandas, NumPy, PySpark Computer Vision: CNN, RNN, OpenCV, Kornia, Object Detection, Image Processing, Video Analytics Visualization Tools: Looker,Tableau, Power BI, Matplotlib, Seaborn Databases & Querying: SQL, Snowflake, Databricks Big Data & MLOps: Spark, Hadoop, Kubernetes, Model Monitoring Nice To Have Experience with deep learning, LLMs, NLP (Transformers), or recommendation systems in travel use cases. Knowledge of GDS APIs (Amadeus, Sabre), flight search optimization, and pricing models. Strong system design (HLD/LLD) and architecture experience for production-scale ML workflows. Skills: data preprocessing,docker,feature engineering,sql,python,predictive modeling,statistical analysis,keras,data science,spark,data scientist,aws sagemaker,machine learning,mlflow,tensorflow,pytorch